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University of Technology, Sydney
Faculty of Engineering and Information Technology
Research of Two Speed DCT Electric Power-train and
Control System
A thesis submitted for the degree of
Doctor of Philosophy
Bo Zhu
(June 2015)
1
CERTIFICATE OF ORIGINALITY I certify that the work in this thesis has not previously been submitted for a
degree nor has it been submitted as part of the requirements for a degree
except as fully acknowledged within the text.
I also certify that the thesis has been written by me. Any help that I have
received in my research work and the preparation of the thesis itself has
been acknowledged. In addition, I certify that all information sources and
literature used are indicated in the thesis.
Bo Zhu
29 June 2015
2
ACKNOWLEDGEMENTS
My sincere thanks is extended to my supervisor, Professor Nong
Zhang His extraordinary knowledge and guidance has been invaluable. I
am also very grateful for the expert assistance of my co-supervisors Dr
Paul Walker and Dr ZhanWenzhang from the BAIC Group. Their ongoing
assistance and support throughout my candidature has been greatly
appreciated.
The team at NTC Powertrains –Simon Fitzgerald, Joef Lou Villanueva
and Simon Cowling were enormously helpful. Not only did they provide
information that was critical to the success of this work but their ideas
effectively inspired this project. I am also indebted to my UTS colleagues:
JiaGengRuan, Xingxing Zhou, Holger, Christopher, ZhenLuo,
YuWang,Cliff, Guangzhong Xu and many others along the way. Their
advice, humour and knowledge sustained me throughout my studies.
My deep gratitude goes to my parents for their constant love, support
and advice.
Finally, I wish to acknowledge my beautiful and loyal wife, YaWei
Sun, who was constantly there for me over the course of my candidature. I
couldn’t have done this without her.
Financial support for this project was provided jointly by BAIC Motor
3
Electric Vehicle Co.Ltd, the Ministry of Science and Technology, China,
and the University of Technology, Sydney.
4
CONTENTS
CERTIFICATE OF ORIGINALITY ...................................................... 1
ACKNOWLEDGEMENTS ..................................................................... 2
CONTENTS .............................................................................................. 4
LIST OF FIGURES.................................................................................. 8
LIST OF TABLES ................................................................................. 14
GLOSSARY OF TERMS AND NOTATION ....................................... 16
ABSTRACT ............................................................................................ 20
Chapter 1 Introduction ............................................................................. 22
1.1 Background ................................................................................... 22
1.2 Project Statement ......................................................................... 30
1.3 Project Objectives ......................................................................... 31
1.4 Project Scope ................................................................................ 31
1.5 Presentation of This Thesis ........................................................... 33
1.6 Publications .................................................................................. 35
References .......................................................................................... 37
Chapter 2 Two Speed DCT Electric Power-train Structure Analysis and
Manufacture ............................................................................................. 40
2.1 Introduction of Two Speed DCT Structure .................................. 40
5
2.2 Simulation Platform Building ..................................................... 41
2.3 Two Speed DCT Power-train Matching and Analysis .................. 45
2.3.1 Q60EV-DCT Matching and Calculation ................................. 45
2.3.2 C70EV-DCT Matching and Calculation .................................. 50
2.3.3 Matching Conclusion ............................................................ 51
2.4 Two Speed DCT Prototype Manufacture .................................... 51
2.4.1 Two Speed DCT Prototype Manufacture .............................. 51
2.4.2 Spin Testing .......................................................................... 57
2.5 Novel Two Speed Electric Power-train System ........................... 61
2.5.1 Two Motor Two Speed System Matching ............................. 61
2.5.2 Simulation Result and Analysis ............................................. 65
2.6 Conclusions ................................................................................ 67
References .......................................................................................... 68
Chapter 3 Multi-Speed Electric Power-train Shifting Schedule ................. 69
3.1 Introduction .................................................................................. 69
3.2 Dynamic Shift Schedule Development for Multi-Speed Pure Electric
Vehicles .............................................................................................. 70
3.3 Economic Shift Schedule development for Multi-Speed Pure
Electric Vehicles .................................................................................. 73
3.4 Simulations and Analysis ............................................................... 77
3.5 Conclusions ................................................................................... 82
References .......................................................................................... 83
6
Chapter 4 Two Speed DCT Shifting Control Strategy ................................. 85
4.1 DCT Shifting Control Analysis ........................................................ 85
4.1.1 Shifting Process of PEV DCT ................................................. 86
4.1.2 Shifting Quality Criterion ...................................................... 89
4.2 Two Speed DCT Transient Modeling .............................................. 91
4.3 Shifting Control Strategy ............................................................... 94
4.3.1 Power-on up-shift control .................................................... 95
4.3.2 Power-off up-shift control .................................................. 103
4.3.3 Power-On Down-Shift Control ............................................ 107
4.3.4 Power-off Down-shift control ............................................. 110
4.4 Shifting Control Strategy with Motor Braking Torque Control ..... 114
4.5 Conclusions ................................................................................. 116
References ........................................................................................ 117
Chapter 5 Rig Testing .............................................................................. 120
5.1 Testing Rig Design and Analysis ................................................... 120
5.1.1 Introduction of Testing Rig ................................................. 120
5.1.2 Testing Rig Parameter Matching ......................................... 122
5.2 Testing Rig Development ............................................................ 128
5.2.1 Frame development ........................................................... 128
5.2.2 Power supply development ................................................ 131
5.2.3 Installation ......................................................................... 132
5.3 Rig Testing Criterion .................................................................... 133
7
5.4 Control System Development Based on Rapid Control Program . 135
5.4.1 Rapid Control Prototyping Technology Introduction .......... 135
5.4.2 Hardware ........................................................................... 137
5.4.3 Software ............................................................................ 140
5.5 Rig Testing Results and Analysis .................................................. 146
5.5.1 Shifting Control Testing ...................................................... 146
5.5.2 Temperature Testing .......................................................... 150
5.5.3 Driving Cycle Testing .......................................................... 152
5.5.4 Efficiency Testing ................................................................ 156
5.6 Conclusions ................................................................................. 158
Chapter 6 Vehicle Integration and Road Testing ..................................... 160
6.1 Vehicle Integration ...................................................................... 160
6.2 On Road Calibration .................................................................... 163
6.3 On Road Testing .......................................................................... 166
6.3.1 Dynamic Performance Testing ............................................ 166
6.3.2 Economic Performance Testing .......................................... 166
6.4 Conclusions ................................................................................. 167
Chapter 7 Thesis Conclusions ................................................................. 168
7.1 Summary of the Thesis ............................................................... 168
7.2 Summary of Findings and Contributions ..................................... 169
7.3 Limitations to Research .............................................................. 172
7.4 Future Research .......................................................................... 173
8
LIST OF FIGURES
Fig.1- 1 Dual Clutch Transmission Structure .................................... 27
Fig.2- 1 Two Speed DCT Electric Power-train.................................... 40
Fig.2- 2 DQ250 ................................................................................. 41
Fig.2- 3 Simulation platform based on Simulink-AMESim ................ 44
Fig.2- 4 Motor Working Points NEDC/UDDS .............................. 47
Fig.2- 5 Constant Working Points Efficiency Analysis ........................ 48
Fig.2- 6 Removed 3nd shaft (5th and 6th gear) and reverse shaft. ... 52
Fig.2- 7 Gear Modification ............................................................... 52
Fig.2- 8 Lubrication System .............................................................. 52
Fig.2- 9 Original Hydraulic System .................................................... 53
Fig.2- 10 Modified Hydraulic System ................................................ 54
Fig.2- 11 Hydraulic Valve Body Modification .................................... 55
Fig.2- 12 Original Oil Pump .............................................................. 55
Fig.2- 13 12 Volt E-motor drives pump ............................................ 55
Fig.2- 14 Original Pressure Sensor ................................................... 56
Fig.2- 15 Speed Sensor..................................................................... 56
Fig.2- 16 Oil temperature sensor ..................................................... 56
Fig.2- 17 E-Motor side (long shaft) and Gearbox side (short shaft) .. 57
9
Fig.2- 18 Spin Testing Rig ................................................................. 57
Fig.2- 19 Clutch Pressure Sensor Testing .......................................... 58
Fig.2- 20 Output Speed Sensor Testing ............................................ 58
Fig.2- 21 Hydraulic Testing (with mains powered pump).................. 59
Fig.2- 22 Main Solenoid Testing ....................................................... 60
Fig.2- 23 Clutch Activation Solenoid Testing ..................................... 60
Fig.3- 1 Vehicle acceleration curves for establishing single parameter
shift map.................................................................................... 72
Fig.3- 2 Dynamic upshift and downshift map for PEV ...................... 73
Fig.3- 3 Efficiency MAP of motor in 1st and 2nd gear relative to vehicle
speed ......................................................................................... 75
Fig.3- 4 Economic shifting points for output Torque T0 .................... 76
Fig.3- 5 Economic shifting schedule curve for PEV ........................... 76
Fig.3- 6 Adjusted Economic shifting schedule curves for PEVs ......... 77
Fig.3- 7 Acceleration Performance of PEV for different shift schedules
.................................................................................................. 79
Fig.3- 8 NEDC Cycle .......................................................................... 80
Fig.3- 9 UDDS Cycle .......................................................................... 80
Fig.3- 10 Motor Working Points in NEDC ...................................... 81
Fig.3- 11 Motor Working Points in UDDS ......................................... 81
Fig.4- 1 Dynamic Model of Pure Electric DCT ................................... 92
10
Fig.4- 2 Shifting Condition Judgment ............................................... 95
Fig.4- 3 Power-On Up-Shifting Process Analysis ............................... 96
Fig.4- 4 Control Algorithm of Power-on Up-shift .............................. 98
Fig.4- 5 Power-on Up-shift Control .................................................. 99
Fig.4- 6 Power-on Up-shift Simulation Results ............................... 100
Fig.4- 7 Simulation results under different clutch slip rotate speed 101
Fig.4- 8 Simulation results under different motor minimum torque limit
................................................................................................ 101
Fig.4- 9 Simulation results under different motor minimum torque limit
................................................................................................ 102
Fig.4- 10 Power-Off Up-Shift Process Analysis ............................... 103
Fig.4- 11 Control algorithm of Power-Off Up-Shift ......................... 105
Fig.4- 12 Power-off Up-shift Control .............................................. 105
Fig.4-13 Power-off Up-shift Simulation Results ............................. 106
Fig.4- 14 Power-On Down-Shift Control Process Analysis............... 107
Fig.4- 15 Control algorithm of Power-on Down-shift ..................... 108
Fig.4-16 Power-on Downshift Control ........................................... 109
Fig.4- 17 Power-on Downshift Simulation Results .......................... 109
Fig.4- 18 Power-off Down-shift Control Process Analysis ............... 111
Fig.4-19 Control algorithm of Power-off Down-shift .................... 112
Fig.4- 20 Power-off Downshift Control ........................................... 113
Fig.4- 21 Power-off Downshift Simulation Results ......................... 113
11
Fig.4-22 Power-On Up-Shift control with Motor Braking Control .. 114
Fig.4-23 Power-on Up-shift Control with Motor Braking Torque ... 115
Fig.4-24 Power-on Up-shift Simulation Results (With Motor Braking
Torque) .................................................................................... 116
Fig.5- 1 Schematic of Two speed DCT Power-train Rig ...................... 121
Fig.5- 2 Horiba-WT190 ...................................................................... 123
Fig.5- 3 Motor and Controller Used on Rig ........................................ 123
Fig.5- 4 Characteristics Matching of Motor and Dynamometer ........ 124
Fig.5- 5 Rig Inertia Flywheel Group ................................................... 126
Fig.5- 6 Cooling Pump (Left) and Characteristics Curve (Right) ......... 128
Fig.5- 7 Power-train Mounting Sub-Assembly 1 ................................ 129
Fig.5- 8 Power-train Mounting Sub-Assembly 2 ................................ 130
Fig.5- 9 Detailed sub assemblies for knuckle and wheel mounting ... 130
Fig.5- 10 Final Power-train and Rotating Inertia Assembly ................ 131
Fig.5- 11 Power Supply layout motor and controller are located after
the DC filter ................................................................................ 132
Fig.5-12 Power supply assembly, (left) Isolator and mains contactor,
(right) Inductor, capacitors and DCS550 4Q drive ........................ 132
Fig.5- 13Power-train Rig at University of Technology, Sydney ........... 133
Fig.5- 14 “V” Development Mode Based on Rapid Control Prototyping
................................................................................................... 137
12
Fig.5- 15 DSPACE MicroAutoBox Left /RapidPro Right ..... 138
Fig.5- 16 DCT Control System base on MicroAutoBox ....................... 138
Fig.5- 17 Electrical Schematics of DCT Testing Rig ............................. 139
Fig.5- 18 Signals Definition of Rig Control System ............................. 141
Fig.5- 19 DCT Control Program ......................................................... 143
Fig.5- 20 Vehicle Monitor .................................................................. 144
Fig.5- 21 Motor Monitor ................................................................... 145
Fig.5- 22 DCT Shift Monitor and Calibration ...................................... 145
Fig.5- 23 Motor Control Software ..................................................... 146
Fig.5- 24 Power-On Up-Shifting 1000r/min30Nm ...................... 146
Fig.5- 25 Power-On Up-Shifting 3000r/min25Nm ...................... 147
Fig.5- 26 Power-Off Up-Shifting (500r/min ................................... 147
Fig.5- 27 Power-Off Up-Shifting 4000r/min ................................ 148
Fig.5- 28 Power-On Down-Shifting 500r/min25Nm .................... 149
Fig.5- 29 Power-On Down-Shifting 3000r/min25Nm .................. 149
Fig.5- 30 Power-Off Down-Shifting(500r/min) .................................. 150
Fig.5- 31 Power-Off Down-Shifting(3000r/min) ................................ 150
Fig.5- 32 DCT Temperature Testing Results 1st gear ................... 151
Fig.5- 33 DCT Temperature Testing Results 2nd gear .................. 152
Fig.5- 34 NEDC Driving Cycle ............................................................. 153
Fig.5- 35 UDDS Driving Cycle ............................................................. 154
Fig.5- 36 Motor Working Points NEDC/UDDS ............................. 156
13
Fig.5- 37 Efficiency MAP of Two Speed DCT Power-train includes
Motor and Controller 1st gear/2nd gear ............................. 157
Fig.5- 38 Efficiency MAP of Single Reducer Power-train (includes Motor
and Controller) ........................................................................... 158
Fig.6- 1 Q60FB Prototype Car ............................................................ 160
Fig.6- 2 Q60FB Compartment Left and DCT sample Right .... 160
Fig.6- 3 Vehicle Layout Scheme ......................................................... 161
Fig.6- 4 Compartment Layout ........................................................... 162
Fig.6- 5 Layout of Batteries ............................................................... 162
Fig.6- 6 Layout of Charger Port ......................................................... 163
Fig.6- 7 Installation of the Real Car ................................................... 163
Fig.6- 8 On Road Testing and Calibration ........................................... 164
Fig.6- 9 Power-On Up-Shift Results Motor Status 100-Drive 200-
Brake .................................................................................. 165
Fig.6- 10 Power-Off Up-Shift Results .............................................. 165
Fig.7- 1 Two Speed Electric Power-train used Mechanical Pump ... 174
14
LIST OF TABLES Table.2- 1 Q60FB-DCT/C70EV-DCT Parameters ................................ 45
Table.2- 2 Q60EV-DCT Performance ................................................. 45
Table.2- 3 Motor Efficiency Analysis ................................................. 48
Table.2- 4 Analysis of Motor Working Points Adjustment ................ 49
Table.2- 5 Q60EV-DCT Improved Dynamic Performances ................ 49
Table.2- 6 Q60EV-DCT Improved Economic Performance ................ 50
Table.2- 7 C70EV-DCT Performance Parameters .............................. 50
Table.2- 8 Two Motor Two Speed Matching Parameters .................. 64
Table.2- 9 Vehicle and Battery Parameters ....................................... 65
Table.2- 10 Performance Comparison .............................................. 65
Table.3- 1 Paramters of C70GB ........................................................ 77
Table.3- 2 Economic Performance.................................................... 81
Table.4- 1 Shifting Classification in different situations .................... 87
Table.4- 2 Shift Process Classification .............................................. 88
Table.5- 1 Vehicle Driving Resistance Analysis................................ 122
Table.5- 2 Vehicle Rotating Inertia ................................................. 125
Table.5- 3 the Existing Rig Inertia ................................................... 125
Table.5- 4 Economic Performance.................................................. 155
Table.5- 5 Compare of Efficiency Area ........................................... 158
Table.6- 1 Dynamic Performance Results (Q60EV-DCT) ................. 166
16
GLOSSARY OF TERMS AND NOTATION
ABBREVIATIONS USED IN THIS THESIS
PEV -- Pure Electric Vehicle
HEV -- Hybrid Electric Vehicle
ICE -- Internal Combustion Engine
MT-- Manual Transmission
AT --Automatic Transmission
CVT --Continuously Variable Transmission
DCT-- Dual Clutch Transmission
AMT --Automated Manual Transmission
EVT --Electrically Variable Transmission
PDK -- Porsche Doppelkupplungsgetriebe (English: dual-clutch gearbox)
NEDC -- New European Driving Cycle
UDDS -- Urban Dynamometer Driving Schedule
ECE -- Economic Commission for Europe
EUDC-- Extra Urban Driving Cycle
FTP-72 -- Federal Test Procedure 72
FF -- Front mount Front drive
SOC – State of Charge
VCU --Vehicle Control Unit
17
MCU – Motor Control Unit
TCU—Transmission Control Unit
NOTATION
Chapter three
MT -- Drive torque of motor;
gi -- Gear ratio of transmission;
0i -- Gear ratio of final drive;
T -- Efficiency of the whole driveline from the motor to the driven wheel;
r --Radius of the driven wheels;
G --Weight of vehicle;
f --Rolling resistance coefficient;
-- Road angle;
DC -- Aerodynamic drag coefficient;
A --Vehicle front area;
-- Rotational inertia factor;
'V --Speed of downshift point;
V --Speed of up-shift point;
nA -- the offset coefficient,
Chapter Four
-- Vehicle speed;
18
δ -- Vehicle gyrating mass conversion factor;
-- Vehicle mass;
-- Gear ratio;
-- Final ratio;
η -- Transmission efficiency;
-- Wheel rolling radius;
-- Clutch friction torque;
-Sliding friction loss power;
ω – Speed;
m – Motor;
1 –Clutch 1;
2-- Clutch 2;
t1 –Clutch 1 engage or disengage time;
t2 –Clutch 2 engage or disengage time;
θ—Rotational displacement;
I – Inertia element;
C – Damping coefficient;
K –Stiffness coefficient;
T— Torque;
n -- Number of friction plates;
X – piston displacement;
X0 – Minimum displacement required for contact between friction plates;
19
μ — dynamic friction;
μ –Static friction;
–Outside diameters of the clutch plates;
– Inside diameters of the clutch plates;
— Pressure load on the clutch;
— Average torque;
J— Conversion to the moment of inertia at the wheel 2mkg
ω—Flywheel angular velocity rad/s
M—Vehicle Mass kg
v—Vehicle Speed km/h
—Flywheel radius m
SOC0—Initial SOC value;
MAXCAP -- Battery capacity;
outV --Battery output voltage;
V-- Real voltage value;
I-- Real current value;
20
ABSTRACT
The research for this thesis is based on an international cooperation
project with BAIC Motor Electric Vehicle Co.Ltd, UTS and AVL/NTC. It
aims to develop a sample of a two speed DCT used in an electric drive
system.
For the dual clutch’s structural characteristics, one clutch is connected
with one gear, so it is very simple to realize two speed driving. Simulation
models are built in a co-simulation platform using AMESim and Simulink.
Gear ratio selection is processed during the matching of Q60FB and
C70GB vehicles. The ratios selected are 2nd and 3rd gear, and the ratios are
8.45 and 5.36. The prototype is modified from a VW 6spd DCT to operate
at 2 speeds. The work primarily involves modification of the mechanical
part of the gears and shaft, and changing the hydraulic parts.
To optimize vehicle dynamics and economic performance, a shifting
schedule calculation method for PEVs is provided. This uses a graphical
development method and is adapted for the purposes of simulations and
experimental work. As long as gear shifts are initiated according to the
schedule, the EM will be maintained at a higher efficiency operating region.
As a result, the proposed method provides more efficient operations of the
PEV.
Study of the control algorithm, including the vehicle control algorithm
and shift control algorithm, is the core of this thesis. To investigate shift
control and its calibration of a two speed DCT electric drive power-train,
this thesis analyzes the shifting process. The vehicle control
algorithm section follows the judgment of the pure electric multi-
mode algorithm. The shift control section analyses the traditional DCT
control shifting algorithm. In addition, the shifting control algorithm is
21
based on motor active braking control. Detailed shifting control algorithms
are developed which include power-on and power-off
methods. Corresponding simulation analysis has also been carried out.
The rig test uses the UTS power-train test bench for the purposes of
modification. Calibration and testing works are employed for processing
and the test rig mainly calibrates the shift control algorithm,
DCT temperature testing, and NEDC and UDDS drive cycles testing.
Vehicle integration and testing are finished at BJEV. This is based on
the BAIC independent brand car of Q60FB, with two gear DCT prototype
mounting and road test calibration. Finally, the project tests dynamic and
economic performance.
22
Chapter 1 Introduction
1.1 Background
THE number of cars on the road has increased from five million after
the Second World War to nearly one billion today and this is expected to
reach two billion in the next 20 years [1]. In recent years, developing
countries such as China and India, have contributed significantly to the
rapid growth of vehicle production. The biggest problem in relation to the
growing number of vehicles is the pressure placed on limited oil resources
and the corresponding environmental pollution. It is believed that the motor
vehicle sector is currently responsible for nearly 60% of the total world oil
demand and it will be the strongest growing energy demand sector in the
future. Between 2006 and 2030, around three quarters of the projected
increase in oil demand is expected to come from transportation [2][3]. In
the USA, light duty passenger vehicles consumed the highest amount of
energy (57%) in 2007. As a result, it is expected that about 4.1 billion
metric tons of carbon dioxide will be released into the atmosphere from
2007 to 2020. In the transportation sector, carbon dioxide (CO2) represents
the major green house gas emission and it accounts for 95% of the gas
produced [4].
Owing to serious energy shortages and environmental pollution, the
pure electric vehicle PEV and hybrid electric vehicle (HEV) have
been identified as alternatives to conventional passenger vehicles. This is
because of their low energy consumption and the fact that they produce
zero or low emissions on the road. Many countries, and almost every
automobile company, are conducting research and development into
23
electric power train systems. The drive to produce PEV’s is considered to
be a growing trend in the automobile industry.
Electric vehicles first came into existence in the mid-19th century
when electricity was one of the preferred methods for motor vehicle
propulsion, providing a level of comfort and ease of operation that could
not be achieved by the gasoline cars of the time. These vehicles differ from
fossil fuel-powered vehicles in that the electricity they consume can be
generated from a wide range of sources, including fossil fuels, nuclear
power, and renewable sources such as tidal power, solar power, and wind
power or any combination of these. The electricity may be stored on
vehicles using a battery, flywheel, or supercapacitor. Vehicles making use
of engines working on the principle of combustion can usually only derive
their energy from a single source or a few sources, and these are usually
non-renewable fossil fuels. Another advantage of electric or hybrid electric
vehicles is regenerative braking (i.e. their ability to recover energy
normally lost during braking as electricity is restored to the on-board
battery [5]).
Although the PEV appeared very early even before the internal
combustion engine vehicle, it never gained widespread use in the
automotive industry and the power-train structure is not as developed as the
internal combustion engine (ICE) power-train. This is as a consequence of
the limited battery capacity, limiting the running range. It is hard to run a
long distance, so most of the PEVs have been confined to operating as city
shuttles or taxis. The main purpose is to drive to the place of work and back
home, but not out of city. Thus the main driving condition of the electric
power train system considered during design is city driving cycle. Also
dynamic performance is weaker compared to internal combustion engine
vehicles.
The single reducer drive-train is the most popular structure of the PEV
24
as it uses the wide speed range of the motor to realize all drive speeds of
the vehicle. Take the Nissan LEAF, for example, it is coupled with a single
reducer, a high output torque in the low speed region and a high rotating
speed of the motor and this allows it to achieve the grade-ability and
maximum vehicle speed.
In the development of electric vehicles with the use of single reducers
it is hard to satisfy the requirement for the dynamic performance of PEVs,
especially in some luxury vehicles. This is because the motor cannot be too
big. In the limited maximum output torque and power, it is still difficult to
realize the same dynamic performance of the engine given the same power
level. Meanwhile, as there is no transmission to alter the speed ratio; it is
difficult to optimize the working point of the motor to high efficiency areas.
This restricts the performance of the PEVs, especially as the running range
is limited. The economic performance of the vehicle must be considered in
order to make it run longer with restricted energy resources. More and
more, research and application studies are beginning to pay attention to
multi-gear transmission application in PEVs, and this will become the
development trend of the PEV power-train system [6].
As we all know, multispeed transmissions are commonly used in
vehicles where the transmission adapts the output of the internal
combustion engine to the drive wheels. Such engines need to operate at a
relatively high rotational speed which is inappropriate for starting, stopping,
and slower travel. The transmission reduces the higher engine speed to the
slower wheel speed, increasing torque in the process. The original type of
transmission is Manual Transmission (MT), which needs a driver to operate
it. To reduce vehicle fuel consumption and tailpipe emissions, automotive
manufacturers have been developing new technologies for power-train
systems. Emerging technologies such as automatic transmission (AT),
continuously variable transmission (CVT), dual clutch transmission (DCT),
25
automated manual transmission (AMT), and electrically variable
transmission (EVT) have appeared in the market. The basic function of any
type of automotive transmissions is to transfer the engine torque to the
vehicle with the desired ratio smoothly and efficiently. [7][8]
The application of multispeed transmissions for PEVs has the
potential to improve average motor efficiency and enhance range, or even
reduce the required motor size [12]. There is a range of transmissions
available for application to PEVs for multispeed drives. In [13] Rudolph, et
al. suggested that DCTs have higher efficiency than other automatic drives,
making them particularly suitable.
DCT was invented by Frenchman Adolphe Kégresse just
before World War II but he never developed a working model. The first
development of the dual-clutch transmission started in the early part of
1980 under the guidance of Harry Webster at Automotive
Products (AP), Leamington Spa with prototypes built into the Ford
Fiesta Mk1, Ford Ranger & Peugeot 205. Initially, the control systems
were based on purely analogue/discrete digital circuitry with patents filed
in July 1981.[17] All of these early AP Dual Clutch installations featured a
single dry clutch & multi-plate wet clutch. After that, DCT work continued
from Porsche in-house development, for Audi and Porsche racing cars later
in the 1980s[15], when computers which were used to control the
transmission became compact enough: the Porsche
Doppelkupplungsgetriebe (English: dual-clutch gearbox) (PDK) used in
the Porsche 956 and 962 Le Mans race cars from 1983,[15] and the Audi
Sport Quattro S1 rally car.[18][19]
A dual-clutch transmission eliminates the torque converter as used in
conventional epicyclic-geared automatic transmissions.[14] Instead, dual-
clutch transmissions that are currently on the market primarily use two oil-
26
bathed wet multi-plate clutches, similar to the clutches used in most
motorcycles, though dry clutch versions are also available.[20]
The first series production road car to be fitted with a DCT was the
2003 Volkswagen Golf Mk4 R32.[15][21][22]
As of 2009, the largest number of sales of DCTs in Western Europe
were by various marques of the German Volkswagen Group,[23] though
this was anticipated to lessen as other transmission makers and vehicle
manufacturers began to make DCTs available in series production
automobiles.[15][24] In 2010, on BMW Canada's website for the 3 series
coupé, it is described both as a 7-speed double-clutch transmission and as a
7-speed automatic transmission. It is actually a dual-clutch semi-
automatic.[25][26]
In DCTs where the two clutches are arranged concentrically, as Fig.1-
1,the larger outer clutch drives the odd numbered gears, while the smaller
inner clutch drives the even numbered gears.[14][15][21] Shifts can be
accomplished without interrupting torque distribution to the driven road
wheels [14][15][16][18][21] by applying the engine's torque to one clutch
at the same time as it is being disconnected from the other
clutch.[15][18] Since alternate gear ratios can pre-select[14][15][16][18] an
odd gear on one gear shaft while the vehicle is being driven in an even
gear,[16] (and vice versa), DCTs are able to shift more quickly than cars
equipped with single-clutch automated-manual transmissions (AMTs), a.k.a.
single-clutch semi-automatics. Also, with a DCT, shifts can be made more
smoothly than with a single-clutch AMT, making a DCT more suitable for
conventional road cars.[27]
27
Fig.1- 1 Dual Clutch Transmission Structure
DCT has recently become the most popular type of transmission; it
seeks to combine the advantages of the conventional manual shift with the
qualities of a modern automatic transmission by providing different
clutches for odd and even speed selector gears. When changing gears, the
engine torque is transferred from one gear to the other continuously,
thereby providing gentle, smooth gear changes without losing power or
jerking the vehicle. DCT vehicles feature the convenience and comfort of
AT vehicles along with fuel economy. In such a way, they are even better
than MT vehicles. In addition, dual clutch transmission is less costly to
manufacture in comparison to automatic transmission since it shares similar
structures and components with the MT. Due to these advantages, DCT has
attracted extensive development interests in the automotive industry in
recent years.
Ricardo determined that the DCT and AMT are suitable for the
Chinese market for three reasons:
1. They can use the Chinese manual transmission manufacture
foundation;
28
2. They can get better fuel economy performance and shifting comfort
as compared to other types of transmissions;
3. They both have mature technologies and productions.
Fig.1-2 represents the efficiency analysis and a comparison between
different transmissions. Clearly the highest efficiency belongs to DCTs,
especially the dry clutch DCT.
Fig.1- 2 Transmission Efficiency under NEDC Drive Cycle
Meanwhile DCT is the type which can be easily designed with new
energy vehicles, especially the hybrid vehicle. For example, DCT can
satisfy start and stop functions without modification. Further, it is the only
type that can realize the pure electric drive in the P1 hybrid. Indeed, it can
start the engine without the starter. Some types of hybrid are in Fig.1-3.
Transmission Efficiency (%)
Engine Efficiency(%)
Total Efficiency(%
DCT is the best in total Efficiency
DCT can get the same shifting comfort of AT
29
Fig.1- 3 Hybrid Power-train Designs based on DCT
The advantages of the hybrid using DCT are as follows:
a) One of the difficulties of the hybrid power-train industry is its
complexity and the question of how to reduce cost of the drive-
train. Because DCT canceled the torque converter, meanwhile its
compact volume, the weight became lighter and this, in turn made
the assembly requirements of the DCT hybrid vehicle far smaller
than other vehicles;
b) The cancellation of engine idling is one of the major energy-
saving methods of hybrid cars. Owing to the fact that the DCT’s
engine and transmission can be completely separated in parking,
this completely cancels the engine idling which further improves
vehicle fuel economy;
c) By means of DCT's structural features, shifting can be finished
without power interruption and motor efficiency can be improved.
In addition, the drive motor in the vehicle arrangement is more
flexible;
d) When the hybrid vehicle design and parameters match, there is
sometimes a sacrifice in terms of shifting dynamics and this is in
30
exchange for vehicle fuel economy. The DCT notably has the
advantage of power shifting to make up for this defect.
In China some universities and companies are also researching the
power-train with DCT, such as JiLin University which has developed a
pure electric vehicle using dry DCT (Fig.1-4 Left). BYD “Qin” is a hybrid
with a single motor (Fig.1-4 Right). Its hybrid vehicle with dual motors is
also under testing.
Fig.1- 4 Prototype vehicle of Jilin University (Left) and BYD (Right)
1.2 Project Statement
The research of this paper is supported by BAIC Motor Electric
Vehicle Co. Ltd, the Ministry of Science and Technology, China, and the
University of Technology, Sydney.[2011DFB70060] The research project is
an international cooperation with BAIC Motor Electric Vehicle Co. Ltd,
UTS and AVL/NTC.
This project started in January2012 and finished in July 2014.
The author of this thesis is the project manager and core technology
staff member in terms of the development. The author has undertaken
control system development control strategy design and simulation, part
of prototype DCT manufacture testing rig design and building, vehicle
integration and on road testing.
31
1.3 Project Objectives
The aim of this project is the development of two speed DCT which
will be used in pure electric vehicles. In addition, the project is concerned
with rig testing and vehicle testing. The pre period has been processed in
Australia, and this has involved theoretical study, prototype development
and rig testing. A later period involved two prototypes being shipped to
China, while vehicle integration, calibration and on road testing were
processed in BAIC Motor Electric Vehicle Co. Ltd.
1.4 Project Scope
This thesis mainly studies two speed DCT pure electric driving system
structure and control methods. In addition, it covers the rig test,
vehicle installation and calibration.
Two speed DCT design needs gear ratio selection calculation and
analysis. Accordingly, a vehicle simulation model has been established, and
dynamic and economic performances have been simulated. The impact
of different gear ratio selections on vehicle performance has also been
analyzed.
The two speed DCT prototype has been restructured from the mature
DQ250 wet dual clutch transmission. This prototype has been finished
mainly in Australia by NTC Company. Restructuring work has mainly
involved the removal of excess gear group structures, and fixing the
toretain part of the gear necessary structure. The hydraulic system has been
reformed, and the electric hydraulic pump has been used to replace
the engine driven hydraulic pump. This has correspondingly led to the
closure and locking off of the hydraulic module circuit. When the motor
speed was higher than that of the engine, the cooling system was modified
32
in order to ensure an excellent temperature range. This internal forced
bearing cooling canceled the external cooling cycle in the original machine.
Research into the shifting schedule is the foundation of the power-
train dynamic and economic performance. Because the
motor characteristic is different to the conventional
engine, the utility to shift the schedule of the engine is no longer suitable
for the motor. However, there is currently no completely shifting schedule
method which is suitable for the motor. This thesis attempts to use
the rules of the economy shift design method based on motor efficiency.
Further, the dynamic shift design method is analyzed, and the
corresponding simulations are finished.
Study of the control algorithm, including the vehicle control algorithm
and the shift control algorithm, forms the core of this thesis. The vehicle
control algorithm section follows the judgment of the pure electric multi-
mode algorithm. The shift control section analyses the traditional DCT
control shifting algorithm along with the shifting control algorithm which
is based on motor active braking control. A corresponding simulation
analysis has been carried out.
The rig test uses the UTS power-train test bench for modification
purposes and calibration and testing works are employed. The test
rig mainly calibrates the shift control algorithm, DCT temperature testing,
and NEDC and UDDS drive cycles testing.
Vehicle integration and testing is finished at BJEV. This is based on
the BAIC independent brand car of Q60FB, with two gears DCT prototype
mounting and road test calibration. Finally the dynamic and economic
performances are tested.
33
1.5 Presentation of This Thesis
The chapter one is the introduction. This describes the overall trend
of development in terms of new energy vehicles and the pure electric
vehicle developmental direction. The biggest problem of the current
electric vehicle is its limited running range. A multi-speed gear box for use
in the electric drive system is proposed. This will improve the efficiency of
the motor and the dynamic and economic performance. Because DCT has
good shifting comfort and high efficiency, it is widely believed to be the
best choice for new energy vehicle development. Therefore, this thesis is
based on the DCT structure of the two speed pure electric drive system
research.
Chapter two examines the two speed DCT electric power-train
structure and its manufacture. Firstly, to introduce the two speed DCT
structure, the simulation platform is built using AMESim and Simulink.
After matching and analysis under this platform, the 2nd and 3rd gears are
selected as the target gear ratios of the two speed DCT. The sample DCT is
modified from the mature DQ250 wet clutch transmission, and this is
manufactured in the NTC Company. The modifications mainly concern
mechanical and hydraulic parts. Relative spin testing is then processed.
Finally a novel two motor, two speed power-train structure is introduced
which can further serve to improve motor efficiency.
Chapter three studies the multi-speed electric power-train shifting
schedule, and the dynamic and economic shifting schedule.
To optimize vehicle dynamics and economic performance, a shifting
schedule calculation method for PEVs is provided in this chapter which
uses a graphical development method, and this is adapted to be used in
simulations and experimental work. Using the acceleration curve of two
34
gears in the same throttle degree the intersection creates the ideal dynamic
shifting point. This is necessary for the downshifting line to have hysteresis
and thereby avoid shifting hunting. The economic shift schedule is
developed by taking a constant output torque across a number of vehicle
speeds. This determines the efficiency of the electric machine and generates
an efficiency curve. Where the two efficiency curves intersect is the point
of transition from higher efficiency in one gear to higher efficiency in the
other gear. Therefore, this is the optimum shift point to maximize the
operating efficiency of the PEV. As long as gear shifts are initiated
according to this schedule, the EM will be maintained at a higher efficiency
operating region and as a result the proposed method will maintain more
efficient PEV operations.
Chapter four represents research into the two speed DCT shifting
control strategy. The shifting control theory is analyzed. Generally shifting
is divided into a torque phase and an inertial phase. Torque transfer is
finished in the torque phase at the point of disengaging the clutch to
engaging the clutch, and the motor speed synchronization is in the inertial
phase. The three most common used quality criterions: shifting time, jerk
and sliding friction power are provided in this thesis. Two control methods
are provided. The first is the traditional dual clutch transmission shifting
control algorithm, which uses the overlap of torque transfer from one
clutch to another to overcome the torque hole of the shifting. Also, to
evaluate the control parameter’s influence on vehicle performance, a series
of slip values and minimum motor output torques are set in the power-on
up-shift control. After comparison of simulation results, correct control
parameters can be selected in the control system.
Another control method by motor active braking torque in the inertial
phase is researched in the final part of this chapter. Using motor braking
torque can shorten the shifting time significantly, but this can worsen the
35
shifting comfort. The on vehicle testing results are provided in Chapter Six.
Chapter five covers the rig testing. This part of the work is finished in
UTS using the rig of a power-train lab after it has been modified to adapt to
electric driving needs. The control system is developed using the
MicroAutobox of Dspace.
On the rig, shifting controls are calibrated and tested; also the driving
cycles of NEDC and UDDS are simulated on the rig. During the testing, a
good shifting control performance can be achieved, and a shifting control
algorithm can adapt to the driving cycle well. DCT temperature testing is
also processed, the maximum temperature of 1st and 2nd gears are 71.6
and 104.6 . This does not exceed the maximum limit of 140 .
Chapter six investigates the vehicle integration and road testing. The
two speed DCT is mounted on the Q60FB pure electric vehicle, and the
work is finished in BJEV. After installation, the road calibration of the
shifting control is undertaken and the dynamic and economic performance
testing is tested.
Chapter seven puts forward the thesis conclusions.
1.6 Publications
Journal [1] BoZhu,NongZhang,Paul.Walker,WenzhangZhan,XingxingZhou,JiagengRuan; Two
Speed DCT Electric Power-train Shifting Control and Rig Testing;Advances in
Mechanical Engineering;2013.11
[2] Bo.Zhu,N.Zhang,WenZhang.Zhan,P.D.Walker, YueyuanWei,
XingxingZhou,NanjiKe; Gear Shift Schedule Design for Multi-Speed Pure Electric
Vehicles; Journal of Automobile Engineering;2014.7 (SCI)
[3] Bo.Zhu Nong.Zhang Wenzhang.Zhan Yueyue.Wei Nanji.Ke Modelling and
Test Verification of DCT Hydraulic System; Automobile Technology; No.4,2014 (Serial
No.463)
[4] Bo.Zhu, Nong.Zhang, Wenzhang.Zhan, Yueyue.Wei, Nanji.Ke, Jiageng.Ruan; Study
36
of multi-gear pure electric vehicle economic shifting schedule and rig testing; Advanced
Technology of Electrical Engineering and Energy; Dec. 2013, Vlo.32, Suppl.
Conference [5] BoZhu, NongZhang, WenzhangZhan, YueyuanWei, NanjiKe, JiagenRuan; Study of
multi-gear pure electric vehicle economic shifting schedule and rig testing;
The 17th Conference of China EV; July 6-7, 2013, Beijing
[6] BoZhu, NongZhang, Paul.Walker, WenzhangZhan, XingxingZhou, JiagenRuan,
YueyuanWei; Two Speed DCT Electric Power-train System Rig Testing; NEV-DCS
2013,Beijing, Feb 6th 2013
[7] Bo.Zhu, NongZhang, WenzhangZhan, Paul.Walker, YueyuanWei, XingxingZhou,
NanjiKe; Two Motor Two Speed Power-train System Research of Pure Electric Vehicle;
SAE2013 Conference 2013.4
[8] BoZhu, Paul.Walker, NongZhang, WenzhangZhan, JiagenRuan, XingxingZhou,
YueyuanWei Study of Two Motor Multi-speed Electric Power-train System
TMC2013 SuZhou China March 2013 Excellent Paper Of the Conference
[9] BoZhu, WenzhangZhan, NongZhang, YueyuanWei, NanjiKe, XingxingZhou; Study
of Two Speed DCT Electric Power-train Up-shifting Control; Oct.2012; GuiLin,China;
LMS2012 Annual Conference.
Patent (1) A synchronous device; 201220196680.5
(2) A pure electric vehicle brake energy regeneration control system and method based
on DCT 201210188756.4
(3) A dual clutch hybrid system control unit, method and system 201210464909.3
(4) A Triple clutch transmission device and electric vehicle 201210143297.8
(5) A control system of pure electric vehicle brake energy regeneration based on DCT
201220270944.7
(6) A dual motor two speed electric drive system 201220266467.7
(7) Shift method using pure electric vehicle economy shift rule 201310201305.4
(8) Dual motor drive system and driving control method CN201210520830
(9) Multi mode of dual motor drive system and its driving method CN201210520862
(10) A novel hybrid system and its driving method CN201210520864
(11) Multi speed and multi mode hybrid system and its driving method
37
CN201210520863
(12) Multi mode hybrid system and its driving method CN201210520865
References
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[2] U.S. Energy Information Administration. International energy outlook 2010; 2010. [Online] Available at: http://www.eia.doe.gov/oiaf/ieo/pdf/ 0484%282010%29.pdf
[3] An F. Global overview on vehicle fuel economy and emission standards; 2010. [Online] Available at: http://www.un.org/esa/dsd/susdevtopics/sdtpdfs/meetings/egm0809/feng Global%20Overview%20UN%20NYC%20Aug- 09.pdf
[4] Atabani AE, et al. A review on global fuel economy standards, labels and technologies in the transportation sector. Renew Sustain Energy Rev (2011), doi:10.1016/j.rser.2011.07.092
[5] Electric Vehicle, From Wikipedia, http://en.wikipedia.org/wiki/Electric_vehicle
[6] Huang Juhua, Xu Shihua, Xie Shikun, “The Design of Automatic Transmission Control System of Electric Vehicle”, Journal of Jinggangshan University (Natural Science) Vol.32 No.1 Jan.2011
[7] Zongxuan Sun and Kumar Hebbale, Challenges and Opportunities in Automotive Transmission Control, 2005 American Control Conference June 8-10, 2005. Portland, OR, USA
[8] Xingyong Song PHD Thesis, DESIGN, MODELING, AND CONTROL OF AUTOMOTIVE POWER TRANSMISSION SYSTEMS; June, 2011; The University of Minnesota
[9] LiuYonggang, Datong Qin, HongJiang, YiZhang, “A Systematic Model for Dynamics and Control of Dual Clutch Transmissions” Journal of Mechanical Design,June 2009,Vol.131/061012
[10] Matthes,B., 2005, “Dual Clutch Transmissions—Lessons Learned and Future Potential,” Proceedings of the Transmission and Driveling Systems Symposium-4WD/AWD, SAE Paper No. 2005-01-1021.
[11] Wheals, J., Turner, A., Ramasy, K., O’Neil, A., 2007, “Double Clutch Transmission (DCT) Using Multiplexed Linear Actuation Technology and Dry Clutches for High Efficiency and Low Cost,” SAE Paper No. 2007-01-1096.
[12] P. D. Walker, S. Abdul Rahman, N. Zhang, W. Zhan, B. Zhu, and H. Du, MODELLING AND SIMULATION OF A TWO SPEED
38
ELECTRIC VEHICLE, International Conference on Sustainable Automotive Technologies 2012 to be held in Melbourne 21-23 March 2012.
[13] Rudolph F. Schafer M. Damm A. Metzner F T. and Steinberg I. (2007) The Innovative Seven Speed Dual Clutch Gearbox for Volkswagen’s Compact Cars 28th Internationales Wiener Motorensymposium
[14] "Powertrain — transmissions: Shift in power to the gearbox" (PDF). AMS (UnofficialBMW.com). September–October 2003. Retrieved 31 October 2009.
[15] "Automatic-shifting dual-clutch transmissions are poised to grab share from traditional transmissions thanks to their combination of efficiency and convenience" (PDF). AEI-online.org (DCTfacts.com). June 2009. Retrieved 31 October 2009.
[16] "Porsche Doppelkupplung (PDK)". Porsche.com. Retrieved 31 October 2009.
[17] "Patent GB2101243 - Control system for a vehicle automatic gearbox".Espacenet.com. Retrieved 2012-06-14.
[18] "Dual clutches take the lead". EurekaMagazine.co.uk. 13 March 2009. Retrieved 31 October 2009.
[19] "The Porsche Transmission". Lüfteknic.com. Retrieved 28 October 2009.
[20] "Wet Clutch or Dry Clutch?". DCTfacts.com. The Lubrizol Corporation. Retrieved 30 October 2009.
[21] "Volkswagen DSG — World's first dual-clutch gearbox in a production car". Volkswagen-Media-Services.com (Press release).Volkswagen AG. 22 November 2002. Retrieved 30 October 2009.
[22] "The 7-speed DSG — the intelligent automatic gearbox from Volkswagen". VolkswagenAG.com. Volkswagen AG. 21 January 2008. Retrieved 30 October 2009.
[23] "Volkswagen Group extends reach of dual clutch transmissions". DCTfacts.com. The Lubrizol Corporation. 8 May 2009. Retrieved 31 October 2009. "Some 311,000 light vehicles were produced in Western Europe with dual-clutch transmissions in 2008, according to data from JD Power; of these, the overwhelming majority were Volkswagen Groupmodels."[dead link]
[24] "Dual-Clutch technology voted Transmission of The Future at CTI Symposium". TheAutoChannel.com. Gordon Communications. 11 March 2009. Retrieved 9 November 2009.
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39
[26] Interone Worldwide GmbH (2008-06-17). "BMW 3 Series Coupé : 7-Speed Double Clutch Transmission". Bmw.ca. Retrieved 2010-12-14.
[27] "How dual-clutch transmissions work". HowStuffWorks.com. Retrieved 28 October 2009.
40
Chapter 2 Two Speed DCT Electric Power-train
Structure Analysis and Manufacture
2.1 Introduction of Two Speed DCT Structure
Fig.2- 1 Two Speed DCT Electric Power-train
Fig.2-1 presents the structure of a front wheel drive two speed dual
clutch transmission electric power-train. It is comprised of the motor,
coupled clutches, transmission gear train, differential and output to wheels.
The unique aspects of the DCT power-train are the application of clutches
and the arrangement of the gear train. The two clutches have a common
drum attached to the input shaft from the motor, and the friction plates are
independently connected to the first and second gears, respectively. With
only two gear pairs and a final drive gear in the two speed gearbox it is a
comparatively simple transmission, without the requirement to engage
alternate gears using synchronizer mechanisms [1,2]. For just two gear
ratios, gear shifting is realized through the dual clutch control alone.
41
Additionally, as the motor has the capability to reverse rotation, it can
reverse the vehicle, thus the reverse shaft is also eliminated. As a result,
the two speed dual clutch transmission equipped EV power-train is
relatively simple.
This project modified a VW 6spd DCT to operate in 2 speeds. The
type is DQ250 which is manufactured by Borgwarner, as show in Fig. 2-2.
Fig.2- 2 DQ250
The specifications of DQ250 are
Gear Six drive with one reverse
Clutch Multi disc wet dual clutch
Gear Ratio 14.26/8.45/5.36/3.71/2.86/2.39
Max Torque 350Nm
Weight 94kg
Oil 7.2L G052 182
2.2 Simulation Platform Building
Currently, electric vehicle simulation primarily adopts
42
MATLAB/Simulink modeling methods. It is modeled based on
mathematical equations, and provides high precision and control system
design capability. However, for the complex nonlinear system, there is a
conflict between model simplicity and precision. Also the modeling process
of battery and motor etc. creates a multi-subject system with high
complexity.
AMESim, the software by LMS Company is an alternative solution
for multi-subject field modeling and simulation. It provides a systems
engineering design platform. Users can build complex multi subject system
models in the platform and move to simulation rapidly. Meanwhile deep
analysis can be performed based on simulation results. It is suitable for
engineers to use. Its graphic modeling method can realize multi subject
combined platform building. And model extension and change can be
achieved through the graphical user interface which simplifies the
complicated modeling process. Engineers can be liberated from math
modeling and they can pay more attention to the physical system design.
More and more applications of AMESim have been found in the
automotive industry in recent years [3][4][5].
Although AMESim does not have great control system design ability,
it provides a communication interface with Simulink. A combined
simulation platform can be built in AMESim and Simulink to realize
efficient co-simulation. The co-simulation platform is proving to be one of
the most efficient developmental methods in the multi subject simulation
area.
During this project, we found that the commercial software is a quick
method to realize modeling and simulation in the initial period of matching
and analysis. It is not just quick, but it is also flexible in modeling different
structures and key parameters selection. Through this method, we can see
that companies are mainly using commercial software in matching, but
43
Universities are mainly using Matlab/Simulink to model, especially in
complex transient modeling and in structure dynamic analysis.
The model platform built in this chapter is in Fig.2-3. All matching
and simulation are finished in this platform. It includes the Vehicle model,
Drive model, Driving cycle, Battery model, Accessory model, Dual clutch
models, Reduce gears, and Vehicle Control Unit (VCU). The VCU model is
interfaced with Simulink, and detailed control algorithms are developed in
Simulink.
45
2.3 Two Speed DCT Power-train Matching and Analysis
The matching is based on Q60EV which is the BAIC EV independent
brand developed from saab9-3. Meanwhile, to consider the power-train
using flexibility in different platforms of the C70EV, the matching of
C70EV is processed. Detailed vehicle parameters are in Table.2-1.
Table.2- 1 Q60FB-DCT/C70EV-DCT Parameters
Items Parameters
Vehicle Parameters
Vehicle Type Q60EV-DCT C70EV-DCT Drive Type FF FF
Length (mm) 4647 4860 Width (mm) 1762 1820 Height (mm) 1450 1461
Wheelbase (mm) 2675 2755 Front Track (mm) 1524 1522 Rear Track (mm) 1506 1528
Weight kg 1780 1925 Tire 225/45R17 235/45R17
Power-train Parameters
Peak Power kW 80 80 Rated Power kW 40 40 Peak Torque Nm 255 255 Rated Torque Nm 127 127 Rated Speed rpm 3000 3000 Max Speed rpm 9000 9000
Battery Parameters
Type Lithium ion Lithium ion Voltage V 372 372
Capacity Ah 60 60 Energy kWh 22.32 22.32
2.3.1 Q60EV-DCT Matching and Calculation
Preliminarily gear selections are 2nd and 3rd gear, ratios are 8.45 and
5.36, and performance simulations are as follows:
Table.2- 2 Q60EV-DCT Performance
Items Q60EV-Original Q60EV-DCT Improvement
Dynai Max Speed
km/h Long-term 140 146 4.28% Short Time 140 187 33.57%
46
0 100km/h Acceleration Time (s)
15 14 6.67%
0 50km/h Acceleration Time (s) 5.5 4.9 10.91% 50~80km/h Acceleration Time (s) 4.8 4.6 4.17% Grade Ability
(%) Long-term 12 14 16.67% Short Time 25 31 24%
4% Hill Speed(km/h) 140 147 5% 12%Hill Speed (km/h) 85 86 1.17%
Economic
Running Rangekm
NEDC 89.3 95.4 6.83% 60km/h 137.3 146 6.34%
Power Consumption per 100kmkWh/100km 60km/h
14.6 13.7 6.16%
As in Table.2-2, the two speed DCT can improve dynamic and
economic performance significantly as compared to the single reducer
power-train with the same motor power. The economic performance can
also increase to 6%.
Because the matching above is based on DQ250 and the ratio selection
are two closed gears, nothing optimization has been considered in the
process. From Fig.2-4 we can see that the motor working points are not
distributed in the high efficiency areas. The system efficiency still has
space to improve.
47
Fig.2- 4 Motor Working Points NEDC/UDDS
To improve the power-train efficiency, an analysis of the constant
speed points is done, as follows:
48
Table.2- 3 Motor Efficiency Analysis
Speed km/h Running Range
km
Motor Working PointsTorque/Speed
Motor Efficiency(%)
20 159.3 8.8Nm/1476rpm 71.3% 30 178.4 14.4Nm/1400rpm 80.5% 40 169.5 15.9Nm/1875rpm 79.8% 50 158.4 17.7Nm/2347rpm 81% 60 146.1 20Nm/2820rpm 83% 70 133.7 22.5Nm/3290rpm 85.2% 80 120 25.5Nm/3760rpm 85.9% 90 109.3 28.7Nm/4232rpm 88.2% 100 99.2 32.3Nm/4702rpm 90.2%
Motor working points under constant speed are as follows:
Fig.2- 5 Constant Working Points Efficiency Analysis
In Fig.2-5 we can see that from 20km/h to 100km/h the motor working
points in constant speed are all in the low efficiency area ( points in
figure). If the working points move to the near high efficiency area (▲
points in figure), the efficiency can be improved and the running range can
be extended. The analysis of working points adjustment is in Table.2-4, and
the 2nd gear ratio is mainly optimized for it influences the performance
49
significantly. From Fig.2-5, the ideal speed range can be estimated, as show
in Table.2-4. To achieve the ideal speed range, the gear ratio should be
adjusted, the adjusted value can be calculated, for example at the speed
30km/h, adjusted value is 1400/(500-1000)=(2.8-1.4). From all the speed
range, we can choice the adjusted value 2.5-1.69 to satisfy all speed
requests. So the ideal gear ratio can be 5.36/(2.5-1.69)=(2.144-3.17).
Table.2- 4 Analysis of Motor Working Points Adjustment
Speedkm/h
Original Working Points
Ideal Speed Range
Ratio Ratio Adjusted
Value
Ideal Ratio
20 8.8Nm/1476rpm 500-750 8.45 30 14.4Nm/1400rpm 500-1000
5.36
2.8-1.4 2.144- 3.17 40 15.9Nm/1875rpm 750-1500 2.5-1.25
50 17.7Nm/2347rpm 850-1500 2.76-1.56 60 20Nm/2820rpm 850-1800 3.31-1.57 70 22.5Nm/3290rpm 900-2000 3.66-1.65 80 25.5Nm/3760rpm 1300-2300 2.89-1.63 90 28.7Nm/4232rpm 1500-2500 2.82-1.69 100 32.3Nm/4702rpm 1800-2800 2.61-1.68 Based on analysis of the table above, 8.45/2.86 or 14.26/3.71(or 2.39)
can be selected as the optimized gear ratios. However, we should consider
that the ratio difference between the two gears can’t be too big as it will
cause shifting difficulty. Accordingly, 8.45/2.86 is the first selection, and
the dynamic and economic performances under optimized gear ratios are as
follows in Table.2-5 and Table.2-6:
Table.2- 5 Q60EV-DCT Improved Dynamic Performances
Items Q60EV-Original Q60EV-DCT Optimized gear selection
Max Speedkm/h
Long-term 140 146 149 Short Time 140 187 194
0 100km/h Acceleration Time (s) 15 14 19 0 50km/h Acceleration Time (s) 5.5 4.9 5 50~80km/h Acceleration Time (s) 4.8 4.6 8.3 Grade Ability (%) Long-term 12 14 14
Short Time 25 31 31 4% Hill Speed(km/h) 140 147 149 12%Hill Speed (km/h) 85 86 50
50
Table.2- 6 Q60EV-DCT Improved Economic Performance
Original Running Range km
Original Motor
Efficiency
Improved Running Range
km
Efficiency Improvement
Improvement Rate
NEDC 95.4 98.5 3.25% UDDS 93.2 96.0 3.00% 20km/h 159.3 71.3% 159.4 71.3% 0% 30km/h 178.4 80.5% 186.6 82.7% 2.2% 40km/h 169.5 79.8% 184 85.6% 5.8% 50km/h 158.4 81% 173.5 86.7% 5.7% 60km/h 146.1 83% 159.3 87.3% 4.3% 70km/h 133.7 85.2% 143.3 86.8% 1.6% 80km/h 120 85.9% 129.4 87.8% 1.9% 90km/h 109.3 88.2% 116.4 88.6% 0.4% 100km/h 99.2 90.2% 104.6 89.4% -0.8%
After optimization of the gear ratios, the grade-ability is not changed
when the max speed is improved but the acceleration time is increased. The
0-100km/h acceleration time is 19s, and 50-80km/h acceleration is 8.3s.
This is greater than the original single reducer power-train so it is
unacceptable.
The economic performance can be improved by 6% in constant speed
points from 40km/h to 60km/h. Meanwhile 3% can be improved in the
NEDC drive cycle. But in the low speed and high speed area, the economic
efficiency is not improved.
2.3.2 C70EV-DCT Matching and Calculation
C70EV is 150kg in weight greater than Q60EV when the same power-
train is selected, so the 2nd and 3rd gears are matched. The simulation results
are in Table.2-7.
Table.2- 7 C70EV-DCT Performance Parameters
Items Q60EV-Original
Q60EV-DCT C70EV-DCT
Dyna
mic
Max Speedkm/h
Long-term 140 146 146 Short Time 140 187 191
0 100km/h Acceleration Time (s) 15 14 15.2
51
0 50km/h Acceleration Time (s) 5.5 4.9 5.3 50~80km/h Acceleration Time (s) 4.8 4.6 5.1 Grade Ability
(%) Long-term 12 14 13 Short Time 25 31 28
4% Hill Speed(km/h) 140 147 144 12%Hill Speed (km/h) 85 86 82
Economic
Running Range
km
NEDC 89.3 95.4 88.2 60km/h 137.3 146 141.5
Power Consumption per 100kmkWh/100km 60km/h
14.6 13.7
From Table.2-7, the max speed of Q60EV-DCT and C70EV-DCT are
almost the same, but the acceleration performance and economic
performance of C70EV-DCT are worse than the Q60EV-DCT.
2.3.3 Matching Conclusion
The gear selections are 2nd and 3rd gears (8.45/5.36). Dynamic
and economic performance are improved compared to the single
reducer structure, and economic performance is improved by 6%;
If selections are 2nd and 5th gear (8.45/2.86), economic
performance can be improved by 3% to 6%, but acceleration time
increases. As a result, it is not an ideal selection;
This selection still has room to improve. Indeed, if we can totally re-
match the motor and gearbox, the vehicle performance can be considerably
improved.
2.4 Two Speed DCT Prototype Manufacture
2.4.1 Two Speed DCT Prototype Manufacture
This project modified a VW 6spd DCT to operate in 2 speeds. The
ratios selected are 2nd and 3rd gear, and the ratios are 8.45 and 5.36. The
works are mainly modifications of the mechanical parts of the gears and
52
shaft. Meanwhile the hydraulic parts are changed.
Fig.2- 6 Removed 3nd shaft (5th and 6th gear) and reverse shaft.
Fig.2- 7 Gear Modification
Remove the 1st and 4th gear with their synchronizers on the second
shaft. Mechanically lock in 2nd and 3rd gear with spacers. The hydraulic
gear change pistons are removed.
Fig.2- 8 Lubrication System
Forced lubrication to bearing on 2nd shaft. Some unused injectors are
closed off on the lubrication system to concentrate/improve lubrication on
the 2nd and 3rd gear.
55
Fig.2- 11 Hydraulic Valve Body Modification
Valve Body modifications, and blocked positions in the plate are
employed to improve oil flow where needed. An orifice is placed to reduce
flow to the oil cooler.
Fig.2- 12 Original Oil Pump
Fig.2- 13 12 Volt E-motor drives pump
56
The original oil pump cannot be used because the electric motor will
run in the reverse direction. An electric driven oil pump is used. The
original pump is replaced by a block to bring the suction and pressure
connections outside the gearbox. The strategy is to use one pump for
lubrication, clutch cooling and clutch activation. Another 12 Volt E-motor
drives the pump for clutch pressure and lubrication (Fig. 2-13).
Fig.2- 14 Original Pressure Sensor
Fig.2- 15 Speed Sensor
Fig.2- 16 Oil temperature sensor
The existing pressure sensors in the transmission valve body have
been rewired and these are used to provide clutch pressure to the controller
(Fig. 2-14). Output speed and oil temperature sensors have been added to
provide the respective signals to the controller (Fig. 2-15 and Fig. 2-16).
57
Fig.2- 17 E-Motor side (long shaft) and Gearbox side (short shaft)
Modified driveshaft flanges (short and long) are employed as a
reduced drive joint diameter is required for clearance to the E-Motor.
2.4.2 Spin Testing
To test the modified DCT prototype, spin testing is finished in the
NTC’s spin rig, see Fig. 2-18. The aim of spin testing is to test that the
prototype can work and spin well in the unloaded condition. The testing
results are shown in Fig. 2-19 to Fig.2-23.
Fig.2- 18 Spin Testing Rig
58
Fig.2- 19 Clutch Pressure Sensor Testing
Fig.2- 20 Output Speed Sensor Testing
From Fig.2-19 and Fig.2-20, the pressure sensor and output speed
sensors can work well. Also the calibration data will be used to control the
program.
60
Fig.2- 22 Main Solenoid Testing
From Fig.2-21 and Fig.2-22, the hydraulic system and solenoid valve
work well.
Fig.2- 23 Clutch Activation Solenoid Testing
61
Fig.2-23 is the clutch solenoid control testing. In the figures we can
see that the solenoid real current can follow the ideal current well,
meanwhile the pressure reacts very quickly to follow the requirements in
the ramp and pulse current control signals respectively. All this data will be
incorporated in the control program as the hydraulic calibration parameters.
2.5 Novel Two Speed Electric Power-train System
2.5.1 Two Motor Two Speed System Matching
How to improve drive-line efficiency? The conventional internal-
combustion engine (ICE) power-train uses the solution of multi-gear
transmissions. These transmissions can improve engine efficiency through
gear shifting, which has the effect of shifting the operating speed of the
engine to an efficient region, and it achieves an optimized driving
characteristic field to match the vehicle requested characteristic field [6].
As an alternative to using the gearbox to change engine speed and torque,
another efficient way is the application of multiple power sources, such as
the hybrid electric systems. The hybrid power-train introduces a motor into
engine drive system; it can split the conventional single driving power into
two power sources. The motor can assist driving or regenerate power, to
adjust engine working points to optimized areas and realize efficient engine
driving power. The full hybrid system can realize gasoline savings of
30~50% [7] [8].
Through the concept of split power hybrid vehicles, we can try to split
our PEV’s power source from one drive motor into two motors, with the
associated torque control of the two motors resulting in better overall
vehicle performance.
The structure of the two motor two speed system is shown in Fig.2-26.
62
Motor 1 and motor 2 output torque is shown in parallel and the output shaft
is like the dual clutch’s output shaft. The outer hollow shaft connects to the
motor 2 output shaft, and the inner solid shaft connects to motor 1 output
shaft. For performance optimization, two motors connect with different
gear ratios. Motor 1connects to the 1st gear and motor 2 connects to the 2nd
gear. There is no shifting clutch in the system; the gear shift is achieved
through motor control. So the structure is simple. There is a one-way clutch
between motor 1 and motor 2 to prevent motor 1 rotating when motor 2 is
the only one working. Also, for the different ratios of the two gears, the
one-way clutch can protect motor 1 to run over speed when motor 2 is in
high speed rotation. It can therefore protect the system and prolong its
useful life.
• Figure 2-26. Two motor two speed power-train structure
As in Fig.2-26, motor 2 is the more frequently used driving motor. The
2nd gear ratio is less than the 1st gear. It is configured to provide efficient
driving in common drive cycles. Motor 1 assists the driving motor, and it is
63
mainly focused on high torque output during high dynamic performance
requests. Thus, it can realize two speed driving and improve vehicle
dynamic performance. Through the output torque shifting between two
motors, motors can work in more efficient areas. As a consequence, system
efficiency can be improved and this extends the running range.
The conventional one motor single reducer pure electric power-train
system needs large backup power to satisfy dynamic performance. This is
because there is no multi-gear transmission available to optimize the motor
working point, and the average operating efficiency of the motor is low.
Fig.2-27 is the motor working point of one motor single reducer in the
NEDC driving cycle. In the figure, the blue line is the max motor output
torque, the red line represents efficiency contour lines and the green points
are motor working points. Obviously the motor’s working points cannot
spread in the high efficient area under these driving conditions.
• Fig. 2-27. Motor working points of one motor single reducer
64
• Fig.2-28. Motor working points of two motor two speed
Fig.2-28 displays the motor working points of the optimized two
motor two speed system. The red solid line is the motor 2 max torque line
and the purple dashed line is the motor 1 max torque line. Detailed power-
train parameters of two motor two speed system are shown in Table.2-8. All
the motors we have selected in the simulation are permanent magnet
motors because they have high efficiency over a wide operating range.
Motor 2 is the frequently used motor, the max power of which is
40kW. The 2nd gear ratio of 7 is selected, which includes the final gear ratio.
The Motor 2 parameter matching is according to the motor working point
under the common driving cycle. Motor 1 is dynamic assistant motor; the
max power is also 40kW. The 1st gear ratio of 10.5 is chosen. The Motor 1
parameter matching is achieved from the torque request in acceleration and
the climbing condition, thus the two motor designs are able to run at higher
efficiencies under normal conditions, and they can meet higher torque
demands as requested.
Table.2- 8 Two Motor Two Speed Matching Parameters
65
Items Parameters Motor 1 Motor 2
Peak Power(kW)kW 40 40 Rate Power(kW)kW 20 20
Peak Torque(Nm) Nm 191 100 Rate Torque(Nm) Nm 95.5 50 Basic Speed(rpm) rpm 2000 3750
Max Speed(rpm) 9000 9000 Gear Ratio(Include final gear) 10.5 7
2.5.2 Simulation Result and Analysis
To validate the two motor two speed system, simulations are
conducted in the above platform. Vehicle parameters are shown in Table.2-
9.We chose the vehicle platform of Q60FB from the BAIC Motor Electric
Vehicle Company, which is the front motor front drive (FF) pure electric
vehicle with 26.78kWh battery power.
Simulations include dynamic testing and economic testing, whereby
dynamic testing includes max speed, 0-100km/h acceleration time, and max
grade-ability, and economic testing is running in a range under the NEDC
driving cycle. Simulation results are summarized in Table.2-10.
Table.2- 9 Vehicle and Battery Parameters
Items Parameters Vehicle Type Q60FB Drive Type FF Length*width*height(mm) 4647*1762*1450 Wheelbase (mm) 2675 Track (mm) 1524/1506 Weight kg 1780 Tire 225/45R17
Battery Voltage V 372 Capacity Ah 72 Energy kWh 26.78
Table.2- 10 Performance Comparison
Items A B C
Dynamic Max Speed km/h 152 142 198 0-100km/h Acceleration Time (s) 12.2 13.3 13.1 Grade Ability (%) 42 28 33
Economic Running Range km 127.34 118.18 124.56
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(NEDC) Range improve rate 7.75% 0% 5.4% Motor Average efficiency 85.29% 79.83% 82.73%
(*A- Two motor two speed; B- One motor single reducer; C-One motor two speed;) To compare performance with one motor single reducer and one motor
two speed structure, another two structures are matched and simulated as B
and C in Table.2-10. For the one motor two speed structure, the max power
of the motor is 80kW; gear ratios are 8.45 and 5.36. For the one motor
single reducer, max motor power is 80kW and the single gear ratio is 7.5.
From Table.2-10 we can see that the two motor two speed system can
improve dynamic and economic performance as compared to the one
motor single reducer system. Further, the max speed, acceleration time and
grade ability are all improved significantly. The running range in NEDC
cycle is improved, from 118km to 127km, this equates to an increase of
7.75%. The average efficiency statistic also shows a 6% improvement of
motor efficiency under these driving conditions. Also it is clear that while
the one motor two speed system can obviously improve the dynamic
performance, the two motor two speed system can achieve a better
economic performance than the one motor two speed system under the
same total motor power. So in relation to the running range and economic
behavior, the two motor two speed system can be considered to have more
competitive abilities.
If we consider the cost of the system, the single reducer is
significantly lower in terms of cost. The cost of the two motor two speed
system will increase primarily as a result of the use of two motors and their
controllers. However, if the mass production of such a platform is
considered, the cost will dramatically decrease and it may even be lower
than the one motor two speed system because other ancillary systems such
as clutches are not necessary.
67
2.6 Conclusions
Single reducer transmissions are the most popular form of PEVs. They
are is simple and low in terms of cost, but they do not always satisfy the
dynamic and economic performance requirements of such PEVs, especially
in regard to some luxury vehicles. Meanwhile, as there is no transmission
to alter the speed ratio it is difficult to optimize the working point of the
motor to high efficiency areas. This restricts the performance of the PEVs,
especially as the running range is limited.
The two speed DCT electric power-train system is introduced in this
chapter because of the dual clutch’s structural characteristics, i.e. one clutch
connects with one gear, so it is very simple to realize two speed driving.
Simulation models are built in the co-simulation platform using AMESim
and Simulink. Gear ratio selection is processed during matching of Q60FB
and C70GB vehicle. The ratios selected are 2nd and 3rd gear, the ratios are
8.45 and 5.36. The prototype is modified from VW 6spd DCT to operate in
2 speeds. Mainly the works are modifications of the mechanical parts of the
gears and shaft, meanwhile the hydraulic part changes.
Finally a new pure electric structure of the two motor two speed
power-train is provided in this chapter. Two motors are used instead of the
former single motor design. One of the two motors is the primary drive
motor which is matched accordingly to optimize motor working points.
Another motor is the dynamic assist motor, which is matched accordingly
to provide the large torque requirements. Thus the two motors have two
different gear ratios to achieve these different needs. Simulation results
show the system can not only improve dynamic performance, but also the
economic performance and prolonged running range. The structure is
simple compared to conventional multi-gear transmission and it provides a
similar degree of design flexibility.
68
References
[1] Walker, P.D., Zhang, N., Zhan, W.Z., Zhu, B. “modeling and simulation of gear synchronization and shifting in dual clutch transmission equipped powertrains”, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Feb; vol. 227, 2013. [2] Galvagno E, Velardocchia M and Vigliani A. Dynamic and kinematic model of a dual clutch transmission. Mechanism and Machine Theory vol. 46 no. 6, 2011.[11] M. Goetz, M. Levesley, D. Crolla, Dynamics and control of gearshifts on twin-clutch transmission, Proceedings of the institution of mechanical engineers, Part D: Journal of Automobile Engineering 219 (2005) 951–963. [3]XieFei, SongChuanxue, LiuMingshu, ZhangYoukun,LuYanhui; Research on Co-simulation Platform Based on AMESim and Simulink for Dual State CVT; Automotive Technology; Vol.8 2008 [4]Wang Pengyu,Wang Qingnian, Hu Anping,YuYuanbin;Analysis of regenerative brake system of hybrid bus based on Simulink-AMESim co-simulation; Journal of Jilin University(Engineering and Technology Edition) Vol.38 Sup. Feb.2008 [5]Liao Linqing,ZHANG Dongfang, Qu Xiang, Ke Jingjing; Simulation on the Start-up and Shift Process of Dual Clutch Transmission Vehicle Based on AMESim; Journal of Chongqing University of Technology (Natural Science), Vol.25 No.1,Jan.2011 [6]AnLin Ge, “Vehicle Auto Transmission Theory and Design”, China Machine Press, 1991.10 [7]Yimin Gao, Ali Emadi, Mehrdad Ehsani, “Modern Electric Hybrid Electric and Fuel Cell Vehicles Fundamentals Theory and Design”, CRC Press, 2010 [8]QingquanChen, FengchunSun Modern Electric Vehicle TechnologyBeijing Institute of Technology Press; 1 Jan 2002
69
Chapter 3 Multi-Speed Electric Power-train
Shifting Schedule
3.1 Introduction
Gearbox shift schedule design is a rule based strategy to determine the
appropriate driving gear according to driver input and vehicle driving
conditions. It influences the economic and dynamic performance of the
vehicle dramatically and is one of the key technologies of gearbox control
systems. Generally, there are three types of shift schedules: single
parameter, dual parameter and three parameter schedules. The single
parameter shift schedule is controlled by vehicle speed. It is simple but
does not take into account both the economic and dynamic performance
requirements of modern vehicles and so is rarely used nowadays. Dual
parameter shift schedules are based on speed and throttle input from the
driver. These are currently widely used and performance requirements are
generally met under most driving conditions. Lastly, three parameter
shifting is controlled according to speed, acceleration and throttle demand
[1]. This reacts to vehicle dynamics and can produce the best vehicle
performance. The downside is a complicated program requirement and
implementation in-online vehicle control [2], and it is consequently
excluded from this research.
Gear shifting theory for ICE vehicles is well developed. Ge [1]
describes the calculation method and evaluation indexes of gear shifting in
detail. Huang [3] provides a graphical method for the dynamic and
economic shift schedule design for ICE vehicles. However, there is little
70
research regarding shifting schedules for PEVs. Yang [4], through the
establishment of numerical models of the battery and motor systems for
electric vehicles, analyzed the optimal-power shift schedule. Owing to the
fact that the maximum discharge power of the battery decreases with the
decrease of SOC, three -parameter and four -parameter dynamic shift
schedules were developed. These schedules operate when the maximum
discharge power of battery is greater than or less than the maximum input
power of the motor.
It is obvious that we can use some of the basic methods and
calculation algorithms of the internal combustion engine shifting theory to
establish PEV shift schedules, but as the driving power source has changed,
the characteristics and efficiency of the traction motor will produce
significantly different results as compared to ICE powered vehicles. It is
therefore necessary to develop alternative shift schedules for PEVs which
provide the theory to support PEV power-train system matching and
optimization.
In this chapter, the gear shift schedule is developed for a power-train
platform equipped with a two speed DCT, however this method can be
extended to all kinds of multi-geared PEV power-train systems. The
shifting schedule includes dynamic and economic schedules. Through
simulations results it can be seen that the economic method, in particular,
can improve vehicle performance significantly.
3.2 Dynamic Shift Schedule Development for Multi-Speed
Pure Electric Vehicles
There are two general methods for the development of dynamic
shifting schedules for internal combustion engines: graphical or analytical.
The graphical method for determining the best dynamic shifting point
71
chooses the intersection points of the adjacent gear acceleration curves
under the same throttle conditions. It should be mentioned that the drive
torque curve is not used because the nonlinear running cycle causes
variation in acceleration. This makes it difficult to achieve the best
dynamic performance for this shift schedule with just the driving torque
curve. Although there are differences between the torque characteristic
curves of motors and engines, it is possible to apply the same method to
determine the dynamic shift schedule for a PEV. The second option is the
analytical method. Through application of computer programs the point of
the same acceleration value is calculated in two different gears, and shifting
points are determined [1].
The output torque of an electric motor is very regular. At low speed,
voltage supply to the motor increases proportionally to speed through the
electronic converter while flux is kept constant at the point where the base
speed voltage of the motor reaches the source voltage. Beyond the base
speed, the voltage of the motor is kept constant and the flux is weakened,
dropping hyperbolically with increasing speed. Consequently the peak
motor torque also drops hyperbolically with increasing speed [5]. As a
result of this regularity the graphical method is simpler than the analytical
method and it can obtain reliable results with relative ease.
Hereinafter is the detailed application of the graphical method for
single parameter schedules. According to vehicle driving equation, we can
calculate the vehicle acceleration as follows [6]:
)sin15.21
cos(1 20 GuACGfriiT
mdtdu
aDTgM (3-1)
Where, MT is drive torque of motor, gi is gear ratio of transmission, 0i is
gear ratio of final drive, T is the efficiency of the whole driveline from the
motor to the driven wheel, r is the radius of the driven wheels. G is the
weight of vehicle, f is the rolling resistance coefficient, is the road angle,
72
here we set it to zero. DC is the aerodynamic drag coefficient, A is the
vehicle front area, is the rotational inertia factor.
From the above equation (3-1), acceleration curves calculated at
different throttle percentages are developed. These are shown in Figure 3-1.
Fig.3- 1 Vehicle acceleration curves for establishing single parameter shift map
In Fig.3-1, there are six acceleration lines, i.e. three lines for 1st gear,
with different throttles of 100%, 70% and 30%, while the other three lines
are for 2nd gear at the same throttle input values. The intersection point for
the two gear ratio acceleration curves at the same throttle input are
displayed for the 100% throttle input at A, and 70% and 30% are B and C,
respectively. Linking these points, the dynamic up-shift line is obtained.
This resulting line for the motor is a straight line and this can be considered
an up-shift line while for an engine it is a curve. This is as a result of the
maximum torque curve for a motor being more regular than an engine.
Any shift schedule must avoid excessive repetition of gearshifts,
known as shift hunting. To avoid this repetition the down-shift line must be
sufficiently offset from the up-shift line. Therefore, a buffer region between
the up-shift and down-shift is used to avoid shift hunting. The zone
between the two shift lines creates shifting delay, and helps to avoid
73
circular shifting hunting phenomenon in situations such as hill climbing.
Reference [7] gives the down-shift schedule calculation equation as follows:
VAV n )1(' (3-2)
Where 'V is the speed of the downshift point while V is the speed of
the up-shift point in the same throttle percentage input, nA is the offset
coefficient, it can be generally set to 0.4~0.45, we make it nA = 0.40 in this
paper, and the down-shift line for the shift schedule is as follows in Fig.3-2,
where the solid line is the up-shift line and the dash-dotted line is the
down-shift line.
Fig.3- 2 Dynamic upshift and downshift map for PEV
3.3 Economic Shift Schedule development for Multi-Speed
Pure Electric Vehicles
As the running range is limited for PEVs, economical performance is
probably the most important factor considered in PEV power-train system
design and control. Much like an ICE driven vehicle, multiple gears are
used to improve the operating region of the motor. The shift schedule
significantly influences this operating region and therefore the driving
efficiency. As a consequence, the development of an appropriate shift
schedule that considers vehicle economy is very important to multi-speed
EV development as it directly influences the vehicle running distance.
The economic shift schedule design for engine driven vehicles is
74
derived mainly from the fuel consumption rate MAP [1]. Through
calculation of the fuel consumption curve in different throttle degrees at the
same drag torque, the intersection point of two curves in the neighboring
gear ratio is the shifting point for a given vehicle speed and input throttle.
The power use of an electric motor is different from that of an engine,
and the drive characteristics also differ significantly. The economic
performance of the motor mainly depends on the efficiency of its operating
region. If motor operation can be maintained in the high efficiency regions,
the economic performance of the system can be improved. The method to
determine economical shift schedule for a motor is as follows:
1) Plot motor characteristic curves and efficiency MAP of the
consecutive gear ratios in the same figure, as shown in Figure 3-3.
The x-axis is vehicle speed, and y-axis is output torque at the
transmission output shaft;
2) Draw a constant traction torque line of T0 in the overlapping region
of Fig.3-3, as in the overlap area where there are two driving gear
ratios available;
3) Calculate the motor efficiency along output torque line T0 for
different vehicle speeds in both gear ratios, and plot the two lines in
the same figure, see Fig.3- 4. The solid line is the efficiency line for
1st gear, and the dash-dotted line is the efficiency line for 2nd gear.
The intersection point of these lines is denoted as A. It should be
understood that before point A the efficiency of the 1st gear is higher
than the 2nd gear, and after this point the efficiency of the 2nd gear
is higher than the 1st gear. Obviously, before point A the gearbox
should be operating in 1st gear while after that it should be in 2nd
gear. So the point A must be the shifting point at the given operating
output torque and vehicle speed;
4) However, the point A for 1st and 2nd gear at the same vehicle speed
75
will have two different throttle values, depending on the gear
selected. These are shown in Fig.3-5 as point a and a’. These can be
considered the up-shifting point and down-shifting point for a given
speed;
5) By repeating the same procedure above for different output torque
values, all the up-shifting and down-shifting points at these torques
and resulting speeds are then linked to produce the up-shifting and
down-shifting lines, as in Fig.3-5. The solid line is the up-shift line
from 1st gear to 2nd gear, and the dash line is the down-shift line
from 2nd gear back to 1st gear.
constant traction torque line T0
efficiency MAP of 1st gear
efficiency MAP of 2nd gear
Fig.3- 3 Efficiency MAP of motor in 1st and 2nd gear relative to vehicle speed
76
Fig.3- 4 Economic shifting points for output Torque T0
Fig.3- 5 Economic shifting schedule curve for PEV
In Fig.3-5 it is shown that the up-shift and down-shift lines are too
close and this may cause frequent shift operations under certain driving
conditions. This problem is eliminated by adjusting the down-shift
schedule [3] using equation (3-2) and setting An = 0.4. After modification,
the shift schedules are as shown in Fig.3-6, where the solid line is the up-
shift line and the dash line is the down-shift line.
77
Fig.3- 6 Adjusted Economic shifting schedule curves for PEVs
3.4 Simulations and Analysis
For the simulations presented in this chapter, the vehicle platform is
based on a mid-class saloon car C70GB, which is an independent brand of
the Beijing Automobile Group China. The details of the parameters used in
this simulation are set out in Table.3-1. The simulation was conducted on
the co-simulation platform built in Chapter two, in which the vehicle and
power-train were built in AMESim, and the control models were in
Simulink.
Table.3- 1 Paramters of C70GB
Items Parameters Vehicle Type C70GB
Basic Parameters Length (mm) 4860 Width (mm) 1820 Height(mm) 1461
Wheelbase(mm) 2755 Front Track(mm) 1522 Rear Track (mm) 1528
Body Mass kg 1780 Passenger Number 5
Tire Type 235/45R17 Power-train System Max Power kW 80
Rate Power kW 40 Max Torque Nm 255 Rate Torque Nm 127 Base Speed rpm 3000 Max Speed rpm 9000
Gear Ratio(Include final drive) 8.45 / 5.36
78
Voltage V 372 Capacity Ah 66 Energy kWh 24.55
Dynamic performance is generally evaluated by acceleration time,
grade-ability and maximum speed. As the grade-ability and maximum
speed have been confirmed in power-train matching [8], the only
performance which relates to shifting is acceleration time. In this chapter to
validate the dynamic performance, the acceleration test from 0 to 100km/h
is selected.
For comparison of the dynamic performance in different shift
schedules, three acceleration tests were performed using the different
shifting processes. These are the dynamic shifting and economic shifting
schedule developed above, and another general shifting schedule which
was used in simulation before the shift schedule was optimized. The
simulation results are displayed in Fig.3-7. The results presented in Fig.3-7,
show the solid line as the acceleration time in the dynamic shifting
schedule, and the dashed line and dash-dotted line are the results with the
economic shifting and general shifting schedule, respectively. Results
demonstrate the dynamic shifting schedule achieves better acceleration
performance in the 0-100km/h acceleration of 13.3s. While the economic
shifting and general shifting are 13.45s and 13.78s respectively.
79
General Shifting
Fig.3- 7 Acceleration Performance of PEV for different shift schedules
To validate the economic performance, driving cycles are used to
judge the energy consumption and running distance for a given range of the
battery SOC. In this chapter selected cycles are NEDC and UDDS. The
NEDC (New European Driving Cycle) is the regulated European cycle for
defining the specific fuel consumption and emissions of passenger cars.
The entire cycle includes four ECE segments, followed by one EUDC
segment, shown in Fig.3-8. Its average speed is 33.6 km/h, the maximum
speed is 120 km/h, and the total distance is 11 km. UDDS (Urban
Dynamometer Driving Schedule) is also known as the U.S. FTP-72
(Federal Test Procedure) or the LA-4 cycle. It is the simulation of an urban
driving route approximately 12.1 km (7.4 miles) long and takes 1,369
seconds (approximately 23 minutes) to complete, shown in Fig.3-9. In
Fig.3-8 and 3-9 there are two lines, the solid line is the target speed of the
running cycle, while the dashed line is the actual running speed in the
simulation, and we can see that they are essentially identical, indicating the
powertrain model is capable of meeting the required driving patterns.
80
Fig.3- 8 NEDC Cycle
Fig.3- 9 UDDS Cycle
The economic performance is judged here in a running distance of the
same given battery depth of discharge, which is from 95% to 10%. The
simulation results are presented in Table.3-2. Fig.3-10 and Fig.3-11 present
the operating points of the electric motor using the economic shift schedule
for both NEDC and UDDS cycles, respectively. From Table.3-2, in the
economic shifting schedule, a longer running range can be achieved in both
the NEDC and UDDS cycles, which are 118.68km and 112.97km,
respectively. This demonstrates that the economic shift schedule can
optimize the working point of the motor and improve system efficiency.
This is also demonstrated in Fig.3-10 and Fig.3-11, the working points with
the economic shift schedule can be optimized to comparatively high
efficiency areas which improves the average power-train operating
efficiency. It should be noted that the simulations herein are conducted
81
using a constant temperature motor model. In a conventional motor, the
operating efficiency is greatly influenced by the motor operating
temperature. The impact and control of the motor temperature will be
considered in further studies.
Table.3- 2 Economic Performance
Economic Performance Dynamic Shifting Schedule
Economic Shifting Schedule
General Shifting Schedule
Range with NEDC cycle(km)
111.73 118.68 114.09
Range with UDDS cycle(km)
107.97 112.97 110.36
Fig.3- 10 Motor Working Points in NEDC
Fig.3- 11 Motor Working Points in UDDS
82
3.5 Conclusions
To optimize vehicle dynamic and economic performance, a shifting
schedule calculation method for PEVs was provided in this chapter using a
graphical development method, and this is adapted to be used in
simulations and experimental work. Using the acceleration curve of two
gears in the same throttle degree the intersection creates the ideal dynamic
shifting point and this is necessary for the downshifting line to have
hysteresis to avoid shifting hunting. The economic shift schedule is
developed by taking a constant output torque and across a number of
vehicle speeds which determine the efficiency of the electric machine and
generate an efficiency curve. Where the two efficiency curves intersect is
the point of transition from higher efficiency in one gear to higher
efficiency in the other gear. This is therefore the optimum shift point to
maximize the operating efficiency of the PEV. As long as gear shifts are
initiated according to this schedule the EM will be maintained at the higher
efficiency operating region and as a result the proposed method will
maintain more efficient operations of the PEV.
The shifting schedule which is used on vehicle should consider both
the dynamic and economic performance. Actually in the low throttle value,
the driver expects economic performance. But in the big throttle value, we
can see a short acceleration time is expected by driver, so more dynamic
performance should be considered. Actually from the Fig.3-6, in the area of
throttle greater than 40%, the shifting schedule line is increasing very quick,
it can satisfy general dynamic acceleration demand.
To demonstrate the effectiveness of the economical shifting schedule,
a PEV model was built in the AMESim environment, which includes the
battery, motor, transmission, vehicle, and driver models, and control
models, all of which were built in Matlab/Simulink. Through acceleration
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and running cycle test simulations the results show that the shifting
schedule developed in this chapter can improve the vehicle dynamic and
economic performance significantly.
This chapter is based on a two speed DCT development project;
consequently just 2 gear ratios are used in the simulation. It provides
theoretical support to PEV power-train system matching and optimization,
and can be extended to transmissions with more than two gears to evaluate
the extent of the application of multi-geared transmissions to PEV power-
trains. Also in this chapter, only the motor’s driving efficiency has been
considered. This does not include the generating efficiency but the brake
regeneration is a unique characteristic of motor driven vehicles and the
shifting schedule in the braking condition is also a key point for improving
system efficiency. Further work will be done on these key points.
References
[1] AnLin Ge. Vehicle Auto Transmission Theory and Design. China Machine Press 1991.
[2] ZhongHua Lu. Research on the Control Technology of Double Clutch Transmission with Two Gears Based on Pure Electric Car. PHD paper, Jilin University, China, 2010.
[3] Huang Ying, Shi Xianlei, XuShili, et al. Design of Gear Shifting Rules on the Basis of Power Performance and Fuel Economy and Experimental Study on Them. Automobile Technology 2004; 11.
[4] YangYi, Jiang Qinghua, ZhouBing, et al. A Study on the Optimal-Power Shift Schedule for Electric Vehicle. Automobile Technology 2004; 3.
[5] Yimin Gao, Ali Emadi, Mehrdad Ehsani. Modern Electric Hybrid Electric and Fuel Cell Vehicles Fundamentals Theory and Design. USA: CRC Press, 2010.
[6] YuZhiSheng. Automobile Theory. Beijing: China Machine Press, 2000.
[7] Huang Juhua, Xu Shihua and Xie Shikun. The Design of Automatic Transmission Control System of Electric Vehicle. Journal of Jinggangshan University (Natural Science) 2011; 32.
84
[8] P. D. Walker, S. Abdul Rahman, N. Zhang, et al. MODELLING AND SIMULATION OF A TWO SPEED ELECTRIC VEHICLE. International Conference on Sustainable Automotive Technologies 2012, Melbourne, Australia, 21-23 March 2012.
85
Chapter 4 Two Speed DCT Shifting Control
Strategy
4.1 DCT Shifting Control Analysis
The main consideration of the DCT shifting will be the clutch-to-
clutch shift control. In the process of shifting, one clutch is disengaged and
another engaged. For the strong nonlinearity of the clutches during the
process of shifting, and the torque coupling in the torque transfer, it is
almost impossible to calculate the transfer torque. Furthermore with the
hysteresis and nonlinear nature of the hydraulic system, implementing
clutch-to-clutch shifting is exceedingly complex. Appropriate methods to
control the shifting process have thereby become crucial to technological
development. Indeed, it significantly affects the shifting time and comfort
levels.
There are several control methods that have been applied to dual
clutch transmissions, ranging from basic open loop methods through to
fuzzy control techniques. A basic method applied by Goetz [24] and also by
Zhang, et al, [25] and Kulkarni, Shim & Zhang [26] is to use a controlled
signal to perform the shift. Goetz [24] demonstrates both speed and torque
control techniques, while Zhang [25] and Kulkarni [26] adopt pressure
profiles to perform the shift. In this way it is somewhat similar to speed
based control techniques for automatic transmissions.
Open loop control methods have be adopted by Song [27] for heavy
vehicle applications. There is demonstrated level of success for the
capability to perform shifts, and the results are similar to those of a single
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clutch transmission. Simulations demonstrate that there is reduced speed
loss during the shift from the DCT. However, there are still significant
improvements that can be made to the shift responses to improve the
engagement, noting particularly the interruption of the vehicle speed during
shifts. Fuzzy control techniques have been applied by Xuexun [16] for
shift control of a DCT. While it has been proved that such a method
achieves a reasonable shift in the DCT, Wu, et al, [30] makes use of
feedback linearization to reduce power-train complexity and applied PID
control in the resulting model with some success. Analysis of the clutch
force by Liu, et al, [28] has enabled an increase in shift quality, while [31]
uses the applied force as a measure of shift quality, combining the clutch
and engine as control variables.
As electric vehicles do not require the idle status capability which is
necessary feature of internal combustion engines, the process of the launch
is simplified. First gear is engaged and the drive motor directly launches
the vehicle. The launch control becomes easier and will not influence the
ride comfort. Thus, in this chapter it is only necessary to study the up-shift
and down-shift control algorithms and simulations.
For the difference between motor and engine, the engine has idle
speed and the launch control is the clutch engagement control, but the
motor has no idle speed so clutch can be pre-engaged and the motor
controlled from the zero speed to drive the vehicle. There is no shaking and
slippage during the launching of the motor driving system. Accordingly, as
the shifting control of the PEV system is simpler than the engine system,
only the up-shifting and down-shifting are studied in this paper.
4.1.1 Shifting Process of PEV DCT
The transmission shifting can be generally divided into the power-on
87
gearshift and power-off gearshift, in which the power-on gearshift takes
place whilst the motor drives the wheel, and the power-off gearshift takes
place whilst the wheels drive the motor.
Up-shifting can thereby be divided into the Power-on Up-shift and
Power-off Up-shift. Most of the up-shifting is the Power-on Up-shift. The
Power-off Up-shift generally happens in coasting with the gears. Down-
shifting can be divided into the Power-on Downshift and the Power-off
Downshift. The Power-on Downshift generally happens during hill
climbing with the throttle but the vehicle speed decreases. Most of the
Downshifting is in the Power-off Downshift [3]. The details are displayed
in Table.4-1.
Table.4- 1 Shifting Classification in different situations
Classification Situations Remark Power-on Upshift Acceleration with Throttle Most of the upshifting Power-off Upshift (1) Acceleration and release throttle;
(2) Down Hill coasting and acceleration;
Power-on DownShift
Uphill deceleration (with throttle);
Power-off Downshift
(1) Braking (2) Uphill (without throttle)
Most of the downshifting
Briefly, DCT shift control is split into the torque phase and inertia
phase. The purpose of the torque phase is to seamlessly hand dynamic
friction torque from the originally engaged clutch to the clutch that is the
target for engagement. Towards the end of the torque phase, the control
must perform the following tasks: [32] determine the target torque at which
the releasing clutch will transition from the stick to the slip state; determine
the required torque at the engaging clutch which is required to maintain the
acceleration of the vehicle with minimum loss of the tractive load, and
transfer the torque from the releasing clutch to the engaging clutch in a
manner that minimizes vehicle transients.
The inertia phase begins once the target torque has been met during
88
the torque phase. Control then proceeds as follows [32]: determine the
target torque for the engaging clutch; hold pressure at the desired torque,
and when the speeds are matched set the pressure to the maximum and lock
the clutch. For the adoption of a torque orientated control strategy in DCT
control, the inertia phase of control requires that the clutch torque is
maintained at a constant torque that is equivalent to the vehicle angular
acceleration and any resistance torque. Though it is possible to use higher
torques to reduce the shift times, this is likely to result in surging or more
significant power-train transients than is desirable during shifting in lightly
damped power-trains.
According to the shifting condition analysis above, we can find out
that during the power-on shifting, the power is transferred from engine to
wheel, but during the power-off shifting, the power is transferred from
wheel to engine. In the up-shifting, engine speed decreases because of the
speed ratio reduction. And in down-shifting, engine speed increases.
Under the four situations in Table.4-1, torque phase and inertia phase
classifications are as follows in Table.4-2. Power-on Up-shifting is the
same as power-off Down-Shifting, firstly torque phase and then inertial
phase. Power-on Down-shifting is the same as Power-Off Up-Shifting,
firstly inertial and then torque phase.
Table.4- 2 Shift Process Classification
Up-Shift Down-Shift Power-On 1. torque phase
2. inertia phase 1. inertia phase 2. torque phase
Power-Off 1. inertia phase 2. torque phase
1. torque phase 2. inertia phase
At the beginning of the torque phase the off-going clutch is brought to
a state where it slips. The clutch slip is then controlled to stay at a small but
constant reference value. This is achieved by a closed-loop controller
which manipulates clutch pressure at the off-going clutch. Whilst clutch
slip is controlled at the off-going clutch; the pressure at the oncoming
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clutch is ramped up in an open loop way to transfer engine torque from the
off-going to the oncoming clutch. As a consequence of the increase in
pressure at the oncoming clutch, the clutch slip controller decreases the
pressure at the off-going clutch in order to maintain the reference slip value.
At the point where the full motor torque has been transferred to the
oncoming clutch, the pressure at the off-going clutch becomes zero and the
off-going clutch disengages automatically without creating a negative
torque. The transmission output torque has dropped according to the gear
ratio and a transition to the inertia phase can take place. Also a motor-
assisted closed-loop control of the inertia phase has been indicated where
engine torque is reduced by a closed-loop control motor torque to follow a
specified motor speed reference trajectory to achieve synchronization. [15,
24]
4.1.2 Shifting Quality Criterion
Shifting quality is the extent under which transmission can complete
the shifting process quickly and stably. In the meantime, it is important to
evaluate and maintain the power-train service life, considering in particular
clutch wear. Good shifting quality requires a stable gearshift with
minimized shock, however, with the multi-state system of the power-train,
even for dual clutch transmissions, it is impossible to eliminate jerk during
the shifting and one can only reduce it [33-35]. In this chapter, we choose
the three most commonly used quality criterions: shifting time, jerk and
sliding friction power.
1) Shifting Time
The shifting time is from the moment the controller gives the order to
clutch until the clutch unites, completely finishes the shifting process, and
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the engage clutch is synchronized. A good shifting quality requires
reducing the shifting time as much as possible in order to fit the
requirements of the ride. However, the driver only observes the inertia
phase of gear change as it distinguishes the two periods of gear engagement.
2) Shifting Jerk
Jerk is the change rate of vehicle longitudinal acceleration. If the
vehicle jerk is too large, it indicates that passengers observe an obvious
forward or backward shock thereby degrading the driving comfort during
the shift. Its mathematical expression is as follows:
δ
η 4-1
Where is speed, δ is vehicle gyrating mass conversion factor, is
vehicle mass, is gear ratio and is final ratio, η is transmission
efficiency, is wheel rolling radius, is clutch friction torque.
Equation 4-1 shows that jerk is proportional to the change rate of
clutch torque. The faster the torque changes, the shorter the clutch shifting
time will be, and the larger the jerk of the driven system will be.
According to passengers’ subjective feelings and their evaluation
responses, the criterions are various, Germany recommends ,
and in China it is .
3) Shifting Sliding Friction Loss Power
Clutch sliding friction loss power is a measurement of the friction
work of driving and the driven friction plates during the clutch coupling
process. It can be used to evaluate and indicate the service life of a clutch.
Its definition is as follows:
4-2
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Where is sliding friction loss power, ω is speed, m is motor, 1 and
2 are clutch 1 and clutch 2. t1 and t2 are the clutch 1 and clutch 2 engage
or disengage time.
Equation 4-2 indicates that sliding friction work is related to the
relative angular velocity between driving and the driven disc during the
engagement time. As engagement time has an inverse correlation with the
clutch friction torque's change rate, sliding friction work and jerk represent
a pair of contradictory evaluation indicators.
If the shift time is too short, it may result in serious vibrations and
jerking which in turn decreases shift smoothness. However, when the shift
time is too long, it will increase the slipping friction power and shorten the
service life of clutch discs. Therefore, excellent shift quality requires the
shift time to be as short as possible based on smooth shift. With shorter
shift time, the torque interruption is shorter and the drivability and shift
quality is better [36].
4.2 Two Speed DCT Transient Modeling
The simplified power-train of two speed DCT is schematically shown
in Fig. 4-1 with clutches in the slip state, consistent with both clutches
being energized during general shifting conditions. The motor inertia takes
input in the form of motor torque and outputs it to the clutch drum via shaft
stiffness and the damping element. The clutches are coupled to the drum so
there are two possible torque paths available as inputs that transmit power
from the motor and clutch drum, as well as two outputs that drive the gear
set either separately or simultaneously. The transmission transfers the
clutch output torques to the propeller shaft, where it drives the vehicle
inertia which is subject to various loads such as air drag and rolling
resistance. The equations of the motion of the open model are:
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Fig.4- 1 Dynamic Model of Pure Electric DCT
4-3
4-4
4-5
4-6
where θ and its two derivatives are the rotational displacement, velocity,
and acceleration, respectively, γ presents the gear ratio, I is the inertia
element, C is damping coefficient, K is stiffness coefficient, and T is torque.
For subscripts M represents motor, D for clutch drum, T for transmission, V
is the vehicle, C is clutch, 1 and 2 represents the two clutches and
respective gears. When either of the two clutches is locked, the vehicle
reverts to a three degree of freedom model where the closed clutch merges
the inertia of the drum with the transmission via a reduction gear. This gear
ratio is the combination of both the transmission ratio and final drive ratio
for this model.
The equations of motion of the closed model are:
4-7
4-8
4-9
The use of piecewise clutch models to account for transitions between
dynamic and static frictions is performed by [38,12], where, upon clutch
synchronization an algorithm estimates the clutch torque and compares it to
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static friction to determine if the friction lock is successful. A similar model
is adopted by [8]; however the post lockup torque is not well defined. In
Goetz [11,15] a transfer function model of the hydraulic system is utilized
over a detailed model, citing issues with the discontinuous contact in the
clutch as a limiting factor. In this paper a nonlinear spring contact model is
used to overcome this issue. Accordingly, a fourth variable of piston
displacement is introduced to the piecewise model of the clutch, where the
return spring separates the plate contact and the clutch torque drops to zero,
excluding a small viscous contact component.
The piecewise model of the clutch is defined as a combination of
dynamic and static friction where the static friction is calculated as the
average torque in the clutch and is limited to the static friction of the clutch.
This is defined as follows:
(4-10)
where, n is the number of friction plates, X is piston displacement and
X0 is the minimum displacement required for contact between friction
plates, is dynamic friction, is static friction, and are the outside
and inside diameters of the clutch plates, and is the pressure load on the
clutch. A relatively simple model of the coefficient of friction of the
clutches is presented as having dynamic friction, a static friction, ,
for an absolute clutch speed of approximately zero, such that numerical
error in calculations is eliminated without negatively affecting results. This
includes the phenomena of stick-slip.
The average torque, being derived from the open clutch equations
for each of the two engaged clutches is as follows:
94
(4-11)
(4-12)
(4-13)
Eqs. (4-12) and (4-13) are realized by re-arranging Eqs. (4-8) and (4-
9), respectively. Determining the average torque for clutch 1 or clutch 2 is
achieved by using the alternate subscripts of 1 and 2 in sequential order.
The average torque is important for torque based control of dual clutch
transmissions as it is the target for engaging clutch control in torque based
control applications.
4.3 Shifting Control Strategy
General control methods fall into two categories: open loop and closed
loop controls. The benefits of the open loop clutch control are its hardware
compactness and low cost but the main challenges lie in two aspects:
consistent initial condition and optimal control process. In addition, for the
closed loop clutch control, the main challenges are to form a feedback loop
in a structurally compact, precise and robust fashion [37].
The shifting control strategies in this chapter are Power-on Up-shift,
Power-off Up-shift, Power-on Down-shift and Power-off Down-shift. The
judgment conditions are the current gear number and gear number in last
time while the throttle degree is to judge power-on or power-off. Detailed
control algorithms are displayed in Fig. 4-2.
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Fig.4- 2 Shifting Condition Judgment
4.3.1 Power-on up-shift control
According to Table 4-2, during the up-shifting process is the torque
phase and then the inertial phase. The tasks of the torque phase are [11]:
a. Determine the target torque of off-going clutch, control it from
engaged to slip status;
b. Determine the target torque of on-coming clutch, keep the vehicle
acceleration performance and reduce the power loss during the
shifting;
c. Transfer the power from the off-going clutch to the on-coming
clutch smoothly;
The tasks of inertial phase are:
a. Determine target torque of the on-coming clutch;
b. Keep the pressure for expected torque;
c. When using the speed Synchronization, increase the pressure to the
maximum value and lock the clutch;
Literature [1-3] describes the relationship of these two phases:
Torque phase - the torque switching time is a key factor in shifting
96
control. If the engagement is too early, shifting shaking will happen. If the
engagement is too late, a torque hole will appear. The ideal method is to
disengage the off-going clutch first and then keep a little bit of slip, then
engage the oncoming clutch.
Inertial phase - engine speed should decrease to synchronize the on-
coming clutch speed. The engine torque can be decreased to reduce vehicle
shaking. However, in the PEV power-train system, the motor can be
controlled more quick and smoothly, so a better shifting performance can
be expected.
(a)
(b)
(c)
Fig.4- 3 Power-On Up-Shifting Process Analysis
97
As presented in the control algorithm of Fig.4-3, at the beginning of
the power-on up-shift, clutch 1 pressure is reduced and clutch 2 is prefilled
resulting in the initiation of slip in clutch 1. After a short time delay, the
torque transfer begins with clutch 1 slip compensation control. The purpose
of this is to control the clutch 1 slip at a given value to guarantee the output
torque without generating transient shock. The slip value recommended in
literature [24] is 5rpm. As it is impossible to control the slip at a constant
value, a slip zone of 8-12rpm is selected in the simulations. To compare
and confirm what the best parameter is chosen in the control, a series of
slip values are set and the simulation differences are provided towards the
end of this chapter.
When the clutch 1 pressure decreases down to zero, the torque phase
finishes and the inertial phase begins. A lot of literature [11, 24]
recommends the speed closed loop control in this phase. This allows the
engine speed to follow a prescribed speed profile. It is a good method to
control the shifting process of speed transfer, but as the speed closed loop
will bring torque change in the clutch it may cause a transient response and
fluctuation in the output torque to the vehicle. It is therefore very difficult
to adjust the control parameters to achieve smooth shifting comfort. In this
chapter a simple sectional torque control algorithm is studied whereby the
motor speed synchronizes with the clutch 2 speed, then the clutch 2
pressure is increased to line pressure and recovers the motor torque to drive
the request value. The shifting process is then completed.
The process of speed synchronization is divided into three sections,
the first section is when |Nmotor-Nc2|<=Value I, and the motor torque is
reduced gradually. The second section is when Value I <|Nmotor-
Nc2|<Value II, and the motor torque is maintained at the desired output
value. The third section is when |Nmotor-Nc2|>=Value II, and the motor
torque begins to increase again. Here the parameters value I and value II
98
both need to be calibrated. When the motor torque reduces, the output
torque of the vehicle inevitably decreases. To avoid a huge negative jerk in
the shift transfer, an appropriate minimum torque limit should be included.
A series of minimum torque limit values are given and simulations are
conducted in the latter part of this chapter to confirm the correct value
selection.
Fig.4- 4 Control Algorithm of Power-on Up-shift
Fig.4-5 is the control graph of power-on up-shifting. The first
component (a) is the pressure of clutch 1 and clutch 2, (b) motor torque and
(c) is the speed changing process of the clutches and clutch drum during the
shifting.
99
Fig.4- 5 Power-on Up-shift Control
To demonstrate the control effects, more simulation results are
presented in Fig. 4-6 whereby Fig. 4-6 (a) is the output torque of gearbox,
and Fig. 4-6 (b) and (c) represent vehicle jerk and slip friction loss during
shifting, respectively. Owing to these curves, the shifting control is smooth
and can be finished in less than one second. The jerk of vehicle is under 103/ sm , and there are no significant transient vibrations and no large slip
friction losses occurring during the shift process.
100
Fig.4- 6 Power-on Up-shift Simulation Results
Simulation in different control parameters
As mentioned above, several control parameters are identified in the
control algorithms to simulate and confirm the control parameter selection
and calibration. To investigate the influence on shift performance, more
simulations are conducted in the control of power-on up-shifts. These
include simulations in different slip values for the torque phase and
different minimum torque limit values in the inertial phase. Results are
show in Figs.4-7 to Fig.4-9.
In Fig.4-7, different slip rotating speeds are given from the minimum
<3 rpm to maximum 30-40 rpm. Fig. 4-7 (a) shows the vehicle jerk during
gear change. Obviously, if the slip value is too small, the maximum jerk
value can be restricted but high frequency vibration can arise at the start of
the torque phase. Meanwhile, if the slip value is too large, the vehicle jerk
will increase as a consequence. So in this chapter a suggested value of 8-12
rpm has been selected. Note also that the slip friction power loss is not
significantly influenced by the parameter variation, as shown in Fig.4-7 (b).
101
Fig.4- 7 Simulation results under different clutch slip rotation speeds
Fig.4- 8 Simulation results under different motor minimum torque limits
102
Fig.4- 9 Simulation results under different motor minimum torque limits
Fig.4-8 and Fig.4-9 are simulation results for different inertial phase
minimum motor torque limitations. In Fig.4-8, minimum motor limits are
selected from 0.7*Tmotor to -0.3*Tmotor. During the changing, the
shifting time is dramatically shortened from 0.4s to less than 0.15s but in
Fig.4-9 it is shown to result in increasing the maximum vehicle jerk. If the
minimum motor torque required is to be -0.3*Tmotor, a -50 3/ sm vehicle
jerk is shown in the figure and this will negatively influence the ride
comfort of passengers to a large degree. Also notice that in Fig.4-9 (b), as
the shifting time is shortened, the slip friction loss power also decreases.
From the simulation results we find that although the motor has more
flexible torque control capability, there are more issues which arise in shift
quality. This, in turn, raises issues in the clutch-to-clutch shifting process
and leads to a serious control question which takes into account all vehicle
performance parameters, including jerk, slip friction work and shifting time,
in order to decide on the most appropriate calibrated control parameters.
103
4.3.2 Power-off up-shift control
Fig.4- 10 Power-Off Up-Shift Process Analysis
Power-Off Up-Shifting is easier than Power-On Up-Shiftingbecause
there is no power transfer at the forward direction, and the drag torque of
the motor is smaller than the engine. There will be no obvious torque
interruption during the shifting so the requirement of control can be
decreased.
104
From analysis in Table 4-2, Power-Off Up-Shifting is started from the
inertial phase and then the torque phase. Meanwhile, the speed
synchronization occurs and then the torque transfer. Detailed process
analysis is presented in Fig.4-10 and a control algorithm is presented in
Fig.4-11.
As displayed in the control algorithm in Fig.4-11, at the beginning of
the Power-Off Up-Shift, the clutch 1 pressure is reduced and the clutch 2 is
prefilled resulting in the initiation of slip in clutch 1. After a short time
delay there is the speed synchronization. The process of speed
synchronization is divided into two sections, the first section is when
|Nmotor-Nc2|>=Value I, and the C2 pressure is increased gradually. The
second section is when Value II <|Nmotor-Nc2|<Value I, and the C1 and C2
pressures are both maintained at the desired output value. When |Nmotor-
Nc2| <= Value II, the speed synchronization and inertial phase finish and
the torque phase begins. In the whole inertial phase process the motor
torque remains unchanged.
In the torque phase, torque transfer begins with clutch 1 slip
compensation control. The purpose of this is to control the clutch 1 slip at a
given value to guarantee output torque without generating transient shock.
This control is the same as the Power-On Up-Shift control. When clutch 1
pressure decreases down to zero and clutch 2 pressure is increased to line
pressure, the torque phase finishes.
105
Fig.4- 11 Control algorithm of Power-Off Up-Shift (a)
(b)
(c)
Fig.4- 12 Power-off Up-shift Control
Fig.4-12 is the control graph of Power-off up-shifting. The first
component (a) is the pressure of clutch 1 and clutch 2, (b) motor torque and
106
(c) is the speed changing process of the clutches and clutch drum during the
shifting.
(a)
(b)
(c)
Fig.4-13 Power-off Up-shift Simulation Results
Simulation results are presented in Fig.4-13. Fig. 4-13 (a) is the output
torque of the gearbox. Fig. 4-13 (b) and (c) are vehicle jerk and slip friction
loss during shifting, respectively. From these curves, the shifting control is
smooth and can be finished in less than one second. The jerk of vehicle is
near 10 3/ sm , and there are no significant transient vibrations and no large
slip friction losses occurring during the shift process.
107
4.3.3 Power-On Down-Shift Control
(a)
(b)
(c)
Fig.4- 14 Power-On Down-Shift Control Process Analysis
The power-on down-shift process is the opposite to that of power-on
up-shifting; it begins with the inertial phase (Fig.4-14). As shown in the
Fig.4-15 control algorithm, at first the clutch 2 pressure is reduced and the
clutch 1 is pre-filled, then the pressure is set to initiate the slip of clutch 2.
For down shifting from 2nd gear to 1st gear, the speed of the motor will
increase to synchronize the clutch 1 speed. If the motor torque is less than
108
maximum output value, an increasing torque requirement can be given to
shorten the inertial phase. The algorithm is the same as in the inertial phase
of power-on up-shift control; and the parameters of Value III and Value IV
are selected and calibrated. When the motor speed has synchronized with
clutch 1 speed, the inertial phase finishes and the torque phase starts.
In the torque phase, clutch 2 pressure is reduced and the ramp up of
clutch 1 pressure occurs. Also the same slip feedback compensation control
as in power-on up-shift control is adopted here, to control the clutch 2 slip
value in the given target value during torque transfer and ensure smooth
shifting. When the clutch 2 pressure is reduced to zero, there is an increase
of clutch 1 pressure to line pressure and the shifting process completes. In
addition, the motor torque is returned to the driver demand values.
Fig.4- 15 Control algorithm of Power-on Down-shift
109
Fig.4-16 Power-on Downshift Control
Fig.4-16 is the control graph of power-on down-shifting. The first
component (a) is the pressure of clutch 1 and clutch 2, (b) motor torque and
(c) is the speed changing process of the clutches and clutch drum during the
shifting.
Fig.4- 17 Power-on Downshift Simulation Results
Simulation results are presented in Fig.4-17. Fig. 4-17 (a) is output
110
torque of gearbox. Fig.4-17 (b) and (c) are vehicle jerk and slip friction loss
during shifting, respectively. From these curves, the shifting control is
smooth and can be finished in less than 700ms. The jerk of vehicle is less
than 10 3/ sm , and there are no significant transient vibrations and no large
slip friction losses occurring during the shift process. Further, we can see a
better shifting result than the Up-shifting.
4.3.4 Power-off Down-shift control
The shifting control of Power-off Down-shift is the same as the
Power-On Up-Shift, first torque phase and then inertial phase. As there is
no torque transfer during the shifting, the shifting can be much more simple
than power-on shifting. Detailed control algorithms are in Fig.4-18 and
Fig.4-19.
112
Fig.4-19 Control algorithm of Power-off Down-shift Fig.4-20 and Fig.4-21 are the control figures and results in the
simulation. Fig.4-21 (b) and (c) are vehicle jerk and slip friction loss during
shifting, respectively. From these curves, we can see the max jerk of
vehicle is just 8 3/ sm , also the shifting time can be finished in 700ms.
114
4.4 Shifting Control Strategy with Motor Braking Torque
Control
(a)
(b)
(c)
Fig.4-22 Power-On Up-Shift control with Motor Braking Control
For much more flexible control of the motor and faster control
reaction time, the DCT shifting control mounting with electric power-train
is the best option. In this thesis we apply the motor braking torque control
in the inertial phase of the Power-On Up-Shift control algorithm.
Control figures are in Fig.4-22. Torque phase control is the same as
the traditional control method, but during the inertial phase, motor braking
torque is added to actively control motor speed synchronization and the
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shifting time can then be significantly shortened.
Detailed control algorithms used in simulation are in Fig.4-23. Here
we can see the minimum throttle command of motor can be set to -30%, so
an active braking torque is used to actively reduce the motor speed and
shorten shifting time. From the simulation, a total shifting time of 0.5s can
be reached, and the motor speed synchronization time can be shortened to
150ms. However, from Fig.4-24 the vehicle jerk is almost 50 m/s3. It is
much too big and will introduce a bad ride in terms of comfort during the
shifting.
Fig.4-23 Power-on Up-shift Control with Motor Braking Torque
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Fig.4-24 Power-on Up-shift Simulation Results (With Motor Braking Torque)
4.5 Conclusions
Dual clutch transmissions are recognized to be suitable for the electric
drive application for multi-speed pure electric vehicles. These
transmissions provide desirable qualities for high efficiency automotive
platforms, including high driving efficiency. With appropriate control
methods, good shifting comfort can be achieved.
To investigate shift control and its calibration of a two speed DCT
electric drive power-train, this chapter analyzes the shifting process.
Detailed shifting control algorithms are developed which include power-on
and power-off methods.
The simulations conduct the modeling, control and simulation of an
EV. For clutch-to-clutch shifting control studies, a dynamic model has been
analyzed and built. A good gear shift performance is demonstrated in the
simulation results. Also, to evaluate the control parameter’s influence on
vehicle performance, a series of slip value and minimum motor output
torques are set in the power-on up-shift control. After comparison of
simulation results, correct control parameters can be selected in the control
system. Calibration is performed through simulation to demonstrate how it
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is possible to achieve high quality gear shifts and the influence of motor
throttle control on overall shift quality. There are significant trade-offs
between short, fast gearshifts and the quality of shift achieved.
In the final part of this chapter, the shifting control using active motor
braking torque is provided. A simple description is given to introduce the
control algorithm. Detailed control algorithms are also studied and
simulated. Furthermore, to fully realize the achievement of shift
performance, further calibration is studied with experimental calibration in
the proceeding chapters.
References
[1] G. Lechner, H. Naunheimer, Automotive Transmissions: Fundamentals, Selection, Design and Application, Springer, Berlin, New York, 1999. [2] M.A. Kluger, Denis M. Long, An Overview of Current Automatic, Manual and Continuously Variable Transmission Efficiencies and Their Projected Future Improvements, SAE paper 1999-01-1259, 1999. [3] Lucente, G., Montanari, M., and Rossi, C. 2007 “Modelling of an automated manual transmission system” Mechatronics 17:73:91. [4] W. Grobpietsch, T. Sudau, Dual Clutch for Power-Shift Transmissions – A Traditional Engaging Element with New Future, VDIBerichte Nr. 1565, 2000, pp. 259–273. [5] Walker, P.D., Zhang, N. and Tamba, R. “Control of gear shifts in dual clutch transmission powertrains” Mechanical Systems and Signal Processing 25 (6), 1923-1936. [6] Goetz M, Levesley, M Crolla D, A gearshift controller for twin clutch transmissions, VDI Berichte, 2003, 1786: 381-400 [7] B. Matthes, “Dual clutch transmissions - lessons learned and future potential,” SAE, Tech. Rep. 2005-01-1021, 2005. [8] M. Kulkarni, T. Shim, and Y. Zhang, “Shift dynamics and control of dual-clutch transmissions,” Mechanism and Machine Theory, vol. 42,pp. 168–182, 2007. [9] S. J. Park, W. S. Ryu, J. G. Song, H. S. Kim, and S. H. Hwang, “Development of D vehicle performance simulator to evaluate shift force and torque interruption,” Int. J. Automot. Technol., vol. 7, no. 2, pp. 161–166, 2006. [10] Y. Zhang, X. Chen, X. Zhang, H. Jiang, and W. Tobler, “Dynamic modeling and simulation of a dual-clutch automated lay-shaft transmission,”
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Trans. ASME, J. Mech. Des., vol. 127, pp. 302–307, 2005. [11] M. Goetz, M. Levesley, and D. Crolla, “Dynamic modelling of a twin clutch transmission for controller design,” Materials Science Forum, vol. 440-441, pp. 253–260, 2003. [12] Walker, P.D., Zhang, N., Zhan, W.Z., Zhu, B. “modeling and simulation of gear synchronization and shifting in dual clutch transmission equipped powertrains”, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Feb 2013; vol. 227: pp. 276-287 [13] Galvagno E, Velardocchia M and Vigliani A. Dynamic and kinematic model of a dual clutch transmission. Mechanism and Machine Theory 2011, 46(6) pp. 794-805. [14] Y. Liu, D. Qin, H. Jiang, and Y. Zhang, “A systematic model for dynamics and control of dual clutch transmissions,” Trans. ASME, J. Mech. Des., vol. 131, pp. 06 012.1–7, 2009. [15] M. Goetz, M. Levesley, D. Crolla, Dynamics and control of gearshifts on twin-clutch transmission, Proceedings of the institution of mechanical engineers, Part D: Journal of Automobile Engineering 219 (2005) 951–963. [16] G. Xuexun, F. Chang, Y. Jun, Y. Zheng, Modelling and Simulation Research of Dual Clutch Transmission Based on Fuzzy Logic Control, SAE Technical Paper 2007-01-3754, 2007. [17] AnLin Ge, “Vehicle Auto Transmission Theory and Design”, China Machine Press, 1991.10 [18] Y. Lei, J. Wang, A. Ge, Research on control stratgies of double clutch transmission based on system simulation, in: Proceedings of the FISITA World Automotive Congress, Yokohama, Japan, October 2006, Paper number F2006P041. [19] A. Crowther, N. Zhang, D.K. Liu, J. Jeyakumaran, Analysis and simulation of clutch engagement judder and stick-slip in automotive powertrain systems, Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 218 (2004) 1427–1446. [20] M. Kulkarni, T. Shim, Y. Zhang, Shift dynamics and control of dual-clutch transmissions, Mechanism and Machine Theory 42 (2007) 168–182. [21]XieFei, SongChuanxue, LiuMingshu, ZhangYoukun,LuYanhui; Research on Co-simulation Platform Based on AMESim and Simulink for Dual State CVT; Automotive Technology; Vol.8 2008 [22]Wang Pengyu,Wang Qingnian, Hu Anping,YuYuanbin;Analysis of regenerative brake system of hybrid bus based on Simulink-AMESim co-simulation; Journal of Jilin University(Engineering and Technology Edition) Vol.38 Sup. Feb.2008 [23]Liao Linqing,ZHANG Dongfang, Qu Xiang, Ke Jingjing; Simulation on the Start-up and Shift Process of Dual Clutch Transmission Vehicle Based on AMESim; Journal of Chongqing University of Technology
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(Natural Science), Vol.25 No.1,Jan.2011 [24] Goetz M, Integrated powertrain control for twin clutch transmissions, Ph. D. University of Leeds, 2005 [25] Zhang Y, Chen X, Zhang X, Jiang H, Tobler W, Dynamic modelling and simulation of a dual-clutch automated lay-shaft transmission, Journal of Mechanical Design, 2005, 127(3): 302-307 [26] Kulkarni M, Shim T, Zhang Y, Shift dynamics and control of dual-clutch transmissions, Mechanism and Machine Theory, 42 2007: 168-182 [27] Song X, Liu J, Smedley D, Simulation study of dual clutch transmission for medium duty truck application, SAE Technical Paper: 2005-01-3590, 2005. [28] Liu Z, Dong X, Qin D, Liu Y, Analysis and control on shift quality of dual clutch transmission, Journal of Chongqing University 2010 33(5): 29-34 [29] Huang Juhua, Xu Shihua, Xie Shikun, “The Design of Automatic Transmission Control System of Electric Vehicle”, Journal of Jinggangshan University (Natural Science) Vol.32 No.1 Jan.2011 [30] Wu M, Lu T, Ni C, Zhang J, Research on feedback linearization control of dual-clutch for dual clutch transmission, Mechanical Science and Technology for Aerospace Engineering,2010, 29(10), 1285-1290 [31] Lu Z, Chang X, Feng W, Up-shift control in wet double clutch transmission, Transactions of the CSAE, 2010, 25(6): 132-136 [32] Paul David Walker; Dynamics of Powertrains Equipped with Dual Clutch Transmissions; PhD thesis 289-290, University of Technology, Sydney; March 2011 [33] ZhongHua Lu, “Research on the Control Technology of Double Clutch Transmission with Two Gears Based on Pure Electric Car”, PHD paper, Jilin University, 2010 [34] XieFei, SongChuanxue, LiuMingshu, ZhangYoukun,LuYanhui; Research on Co-simulation Platform Based on AMESim and Simulink for Dual State CVT; Automotive Technology; Vol.8 2008 [35] Wang Pengyu,Wang Qingnian, Hu Anping,YuYuanbin;Analysis of regenerative brake system of hybrid bus based on Simulink-AMESim co-simulation; Journal of Jilin University(Engineering and Technology Edition) Vol.38 Sup. Feb.2008 [36]Jianguo Zhang, Yulong Lei, Changfu Zong, Hongbo Liu; Shift Quality Evaluation System Based on Neural Network for DCT Vehicles; 2010 Sixth International Conference on Natural Computation (ICNC 2010) [37]Xingyong Song, Design Modeling and Control of Automotive Power Transmission Systems, PHD Thesis of University of Minnesota, June 2011. [38] Walker, P.D., Zhang, N. and Tamba, R. “Control of gear shifts in dual clutch transmission powertrains” Mechanical Systems and Signal Processing vol. 25 no. 6, 2011.
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Chapter 5 Rig Testing
5.1 Testing Rig Design and Analysis
5.1.1 Introduction of Testing Rig
The vehicle testing rig is a piece of equipment which is integrated
with mechanism, electricity, and hydraulics. It mainly includes the basic
stand, transmission driving device, dynamometer, motor speed adjustment
device, transmission clamping mechanism, rig moving adjustment device,
transmission oil recover device, data recording device, and rig control
system.
The key part of the rig is the dynamometer. It mainly includes the
eddy current dynamometer and electric dynamometer. He eddy current
dynamometer uses eddy current effects to produce braking torque. The
value of braking torque can be controlled by an excitation current
control so is easy to automatically control. The difference between the
electric dynamometer and common motor is the stator housing of the
electric dynamometer is supported on a pair of bearings and it can
freely swing around the axis. An arm is fixed on the stator housing
which is connected with the dynamometer mechanism for measuring
torque.
The output shaft of measured power machinery and electric
dynamometer rotor are connected together to rotate. The stator windings of
the armature winding cut magnetic field lines and the induced EMF in the
armature windings. These, in turn, produce a braking torque and steering
opposite the motor as a generator in order to achieve the purpose of the
dynamometer. In contrast, when a current passes through the armature
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circuit it will be in a magnetic field to produce an electromagnetic force
with the same driver steering torque. The motor as a driving motor is kept
running in order to achieve the anti-drag (which measures the dynamic
mechanical friction power).
For development of testing and calibration of two speed DCT
controlling and debugging, a test rig is based on UTS original power-train
test benches in order to transform the structure of the bench schematic as
shown in Fig. 5-1:
Motor
DCT
MCU
DSPACE-VCU / TCU
radiator
12V
Coolingpump
Fuse andSoftstart
Control and display system
High voltage 380V
Low voltage 12V
CAN
Cooling waterway
ElectricResourse
Flywheels
Dynamometer
wheelsTorque sensor
Half shaft
+-
Analog singal
To CoolingTower
Fig.5- 1 Schematic of Two speed DCT Power-train Rig
In Fig.5-1, the test rig uses a single eddy current dynamometer, but
uses the inertia flywheel system to simulate vehicle inertia weight, while it
links to transmit power through four wheels to simulate the real vehicle
driving conditions. The testing parts are the DCT and motor. In the absence
of a battery, the rig uses a DC power supply systems. Power control system
uses DSPACE to develop an integrated control to drive the system.
The test rig is different from the normal single-input single-axis
dynamometer engine or motor test bench system and it is also different
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from the conventional dual dynamometer output gearbox biaxial test bench.
Compared to the single-axis test rig, the biaxial test rig coupling structure
meets the precursor-type power system testing so it is easy to install. There
is no power system installation alignment problem. Also it solves the
problem of double outputs by the single dynamometer test structure. In
addition, the flywheel structure serves instead of vehicle inertia. The use of
four wheels simulates real car tires on the vehicle transient response
simulations make it more realistic; especially for the development of the
test bench.
5.1.2 Testing Rig Parameter Matching
The eddy current dynamometer can simulate the vehicle rolling
resistance, air resistance, and gradient resistance, to meet the most basic
needs of control system development. Acceleration resistance is simulated
by the mass flywheel. This is to simulate the vehicle body inertia and road
friction conditions. Uphill drag torque is loaded by the dynamometer.
Table.5-1 is the vehicle driving resistance analysis.
Table.5- 1 Vehicle Driving Resistance Analysis
Simulation Function Equipment Have or Not? Rolling Resistance Common dynamometer load √ Air Resistance Common dynamometer load √ Acceleration Resistance Inertia Flywheel Simulation √ Gradient Resistance (Uphill Parking)
Static loading device, Electric Dynamometer simulation
---
Gradient Resistance (Uphill Running)
Common dynamometer load √
Gradient Resistance (Downhill Drag)
Electric Dynamometer Driving ---
Static Resistance Static loading device, Electric Dynamometer simulation
---
Braking in Running Static loading device, Electric Dynamometer simulation can realise
---
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Rig characteristic field calculation
The UTS dynamometer is a Horiba-WT190 system. The basic
parameters of the rated torque are 600Nm. The rated power is 190kW. The
maximum speed is 10000 rpm and the base speed is 3030 rpm. These
characteristics are shown in Fig.5-2:
Fig.5- 2 Horiba-WT190
The rig has a motor drive system for the UQM-PowerPhase @ 125
system, peak power of 125kW, and peak torque of 300Nm (Fig.5-3).
Although the drive motor power and torque are larger than the real car’s
motor parameters in order to simulate real vehicle performance, the control
limit motor output characteristics make it consistent with the real vehicle
motor characteristics. Therefore, the following matching calculation is
according to actual vehicle motor parameters.
Fig.5- 3 Motor and Controller Used on Rig
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Parameters of rig drive train:
Rig speed box ratio: 5.1:1
DCT ratio: 8.45/5.36;
Torque of motor: 255Nm, Max Speed: 9000 r/min, Base Speed: 3000
r/min;
Wheel Diameter on the Rig: 625mm
The Calculation of rig characteristics:
100005432 8563
422.5
268
89
151
Torque (Nm)
Speed (r/min)
190kW
80kW
600
Characteristics Of Motor
Characteristics Of Dynamometer
Fig.5- 4 Characteristics Matching of Motor and Dynamometer
Fig.5-4 the driving characteristics of dynamometer input torque shows
that the dynamometer can cover the motor drive system features
characteristic curve, and therefore meet the test requirements of the project.
Rig Flywheel Inertia Calculation
The inertia flywheel of the test bench is mainly used to simulate
acceleration resistance. Due to this quality, it includes two parts: the
translation quality and the rotating mass. During acceleration, the inertia is
generated not only from the quality of the translation, but also from the
rotating mass moment of inertia. In order to facilitate the calculation, the
general rotation mass moment of inertia transfers into the translation
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quality of the inertial force.
22
22 vMJ 6-1
6-2
So the rotating inertia is: 2flywheelrMJ 6-3
Where, J- conversion to the moment of inertia at the wheel 2mkg
—Flywheel angular velocity rad/s
M—Vehicle Mass kg
v—Vehicle Speed km/h
—Flywheel radius 0.425m
Whereby the vehicle inertia under no-load and full-load conditions is
as shown in Table.5-2
Table.5- 2 Vehicle Rotating Inertia
Vehicle Mass M (kg Rotating Inertia J2mkg
No load 1780-4*30(tire)=1660 299.84 Full load1780-4*30(tire)+375=2035 367.57
The UTS existing rig flywheel setting of parameters are shown in
Table.5-3:
Table.5- 3 the Existing Rig Inertia
Diameter (mm) Mass(kg) Inertia( 2mkg ) Number Big Flywheel 940 353 44.8 4
Small Flywheel 850 234 23.3 4 Therefore, the inertia of the existing rig flywheel group is:
(44.8+23.3)*4=272.4 2mkg
The existing inertia of the flywheel on the rig is less than the vehicle
demand, therefore it needs to increase the portion of acceleration resistance
set in the dynamometer.
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Fig.5- 5 Rig Inertia Flywheel Group
Dynamometer Parameters Setting
In order to simulate the vehicle driving resistance, the dynamometer
setting items are as follows:
6-4 Wherein, a0, a1, a2, and n0 can be set (a0, a1, a2 units of Nm) to simulate
the vehicle rolling resistance, air resistance, and the acceleration resistance.
According to the vehicle dynamics equation:
6-5 =n/(i/(0.377*r)) 6-6
Where, the speed calculation performed by the dynamometer ends, so
is the front dynamometer gearbox ratio 5.1, n is the dynamometer speed, r
is the radius of the tire rig used (312.5mm);
6-7
Transform the equation to
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6-8
=
=
=0.3125* 1870+375/2 * 0.015+0 =9.64
half load and no hill --Acceleration testing
= 1870+375 * 0.015+0.3 *0.3125=221 full load of
30% hill climbing --Grade-ability testing
Nm
=811 r/min
Motor Cooling System Selection
The motor cooling system requirements are:
The cooling water pump parameter selections are:
Type MES MR2-25-900
Voltage 12VDC
Max pressure: 0.42bar 6.09psi
Max Speed 1350L/h 22.5L/min
Max current 2.4A
Max temperature 80
Characteristic curve shown in Fig.5-6:
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Fig.5- 6 Cooling Pump (Left) and Characteristics Curve (Right)
5.2 Testing Rig Development
The two major modifications required for the development of the test
facility are the modifications of the existing dynamometer and frame to
locate an EV front wheel drive assembly, and the development of a suitable
power supply. The power-train is comprised of parts and equipment from a
Volkswagen Passat as it is of comparable size to the test vehicles, and is
compatible with the DQ250 transmission.
The primary considerations for design are adaptation of the current
dynamometer and rotating inertias to the new power-train, rigid mounting
for the transmissions and wheels, and also the development of a suitable
power supply to simulate the battery pack. This chapter details the
modification of the original power-train test facilities and the development
of the power supply in the proceeding sections.
5.2.1 Frame development
Conveniently, the prototype transmission is based on a Volkswagen
DQ250 used in the Passat sedan. This was initially chosen because the
engine has similar torque and power characteristics, and the half shafts,
wheel hubs, disk brakes, and tires can be used for the front wheel drive
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assembly. The primary design requirements are for mounting points for the
transmission and two wheel hubs. The purpose of the design is to mount the
two wheel knuckles rigidly such that wheels can drive the dynamometer,
support the transmission, and support the electric motor. Fig.5-7 presents
the subassembly which has been designed for mounting the transmission.
This shows the re-designed platform to mount the EV power-train. The
motor and transmission sub-assembly are mounted as a single unit at three
locations, these being the transmission mounts 1 and 2 and the motor
support.
Fig.5- 7 Power-train Mounting Sub-Assembly 1
Fig.5-8 presents an additional view of the frame sub-assembly, with
three mounting locations for each of the steering knuckles, including the
steer arm, suspension arm, and ball joints. This design rotates the knuckle
90° from its typical orientation and provision has been made for installation
of the disk brakes.
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Fig.5- 8 Power-train Mounting Sub-Assembly 2
Wheel hubs are mounted using the steering knuckle and are designed
to allow for adjustment of the wheel location relative to the primary inertia.
These are shown in Fig.5-9. These mounts are specifically designed to
allow for translation along all three axes to align the wheels with the
dynamometer. Primary loads are supported through the steering and
suspension arms. The ball joint is used as a third mounting point to prevent
rotation of the wheels.
Fig.5- 9 Detailed sub assemblies for knuckle and wheel mounting
The power-train assembly and mounting frame are shown below in
Fig.5-10 for the detailed assembly including rotating inertias for the
dynamometer. Excluded from this design drawing are the shrouds and
additional rotating inertias for the complete test rig. These are removed to
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provide a less cluttered view of the system.
Fig.5- 10 Final Power-train and Rotating Inertia Assembly
5.2.2 Power supply development
In developing a reliable DC power supply, two options were
considered. If a battery pack was used we would need to include high
voltage charging equipment and suitable hazard protections, such as fire
protection, to protect against catastrophic failure of the battery pack.
Alternatively, if a 400V DC power supply was developed, we would not
have to worry about charging or hazard protection in the laboratory setting.
The DC supply is therefore the obvious choice, and is shown in Fig.5-11.
The chosen power supply is capable of 157kW using an ABB DCS550 4
quadrant thyristor drive, and is therefore also capable of regenerative
braking. The installed equipment is shown in Fig.5-12, prior to wiring up
the system. The system is capable of delivering 390 Amps at 400VDC, and
is therefore capable of adequately simulating the required power supply.
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Fig.5- 11 Power Supply layout motor and controller are located after the DC filter
Fig.5-12 Power supply assembly, (left) Isolator and mains contactor, (right) Inductor, capacitors and DCS550 4Q drive
To test economic performance of the system, a simulated SOC value was calculated by the DC current and voltage in software:
dtIVVCAP
SOCSOCoutMAX 1000
***6.3
10
(6-9)
Where SOC0 is the initial value, here we set it at 95%, MAXCAP is
battery capacity, which is set to the same as real vehicle’s battery pack of
22.32kWh. outV is the battery output voltage, which is equal to the DC
power voltage. V and I are the real voltage and current value input from the
DC bus.
5.2.3 Installation
The final installation is shown below in Fig.5-13 for the EV power-
train, including completed installation and frame assembly prior to
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integrating the power-train.
Fig.5- 13Power-train Rig at University of Technology, Sydney
5.3 Rig Testing Criterion
Since the automatic transmission technology has operated for a long
time, the USA and Europe have formed a relatively complete series of
bench testing criterions, such as the SAE standard which contains various
criterions for automatic transmission assembly, the torque converter, seals
and so on. By contrast, the automatic transmission criterion in China is
more dispersed.
Hydraulic converter performance testing criterion is the only
performance test standard (QC/T557-1999), and 1991 implementation test
methods (QC/T29033-1991) can be used as some references. Other testing
criterions of parts and assembly durability are that some test specifications
are developed by manufacturers according to their needs. There are no
comprehensive and complete standards. On the whole, the automatic
transmission standard in China is still very deficient.
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Automatic transmission test criterions can be divided into the
following two categories based on different testing methods:
(1) Rig Testing Criterions - according to test content, these can be
divided into standard performance test rig and rig reliability test standards.
(2) Vehicle Testing Criterions - this mainly refers to the automatic
transmission vehicle road test to obtain the environment, reliability and
performance associated with the vehicle test standards. According to the
content of the test, vehicle test criterions can be divided into performance
and reliability test criterions. Among them, the performance test criterions
mainly include shock, vibration and noise tests; traction test standards, and
high (low) temperature test standards. Road reliability test standards mainly
consist of high-speed and low-speed power-train standard cycle tests.
From Chinese automotive test standards, the current automatic
transmission tests mainly focus on bench testing, and have developed a
number of appropriate standards. These include hydraulic converter
performance test methods (QC/T29033-91), dynamic test evaluations of the
transmission performance; the torque converter performance test method
(QC/T 557 1999) which primarily tests to determine fluid performance
parameters and the loading force matching performance of the torque
converter; automotive automatic transmission operating device
requirements (QC/T470-1999), experimental evaluations of the shift lever
handling, crisp feel etc. In the vehicle test standards, test conditions are
subject to complex, long test times and there are, as yet, no developed
special test methods and standards [4].
International standards are divided into the following categories: ISO,
DIN, and JIS. These are mainly for the development of some test standards
for safety, appearance, and the main interface of parts. These standards do
not involve testing of the automatic transmission. SAE standards include
automatic transmission assembly and major components. For example, GM
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(OPEL), ROVEL, ZF and other car manufacturers have a lot of testing
standards for the automatic transmission road test. In general, automatic
transmission testing mainly focuses on the road test for testing the
performance and reliability factors [5] [6] [7].
American SAE-J651 passenger cars and light passenger automatic
transmission and automatic transaxle test criterions provide a mean for
comparing the performance characteristics of the automatic transmission,
which roughly describes the power testing within the scope and provides an
appropriate expression method for the tests data. This test criterion is
essentially a standard automatic transmission assembly specification. The
main tests include: a given input torque traction test, on road simulation
tests of given output torque; driving performance tests; parasitic losses tests;
and the engine full throttle test.
Chinese DCT design and testing standards are an unknown area due to
the special nature of the DCT structure, which contains the partial
characteristics of mechanical gearbox and automatic transmission. As a
result, the testing criterions designed for the DCT may consider a
combination of both.
5.4 Control System Development Based on Rapid Control
Program
5.4.1 Rapid Control Prototyping Technology Introduction
Rapid Control Prototyping technology has been developed from
manufacturing rapid prototyping (Rapid Prototyping, referred to as RP)
technology. The main idea of RP technology is that it is possible to design
products in a virtual environment, shorten their product development cycles,
and reduce development costs. Application of RP technology significantly
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shortens the time to market for new products, and this saves the cost of new
product development and mold manufacturing. After the introduction of
real-time testing of RP technology, electronic control system design and
control algorithms were renamed rapid control prototyping (RCP)
technology. In the early stages of system development, to quickly build a
controller model, and the entire system offline and online, several tests
were employed to verify the feasibility of the control scheme. This process
became known as rapid control prototyping. The RCP and Hrdware in
Loop (referred to as HIL) simulation system for the design of the electronic
control system provides the advantages of development speed, and
acceleration of the design and development process. It has therefore been
adopted by aerospace companies in the automotive and aerospace fields
and it significantly reduces expensive, disruptive test drive requirements.
The dSPACE real-time simulation system was developed by the
German company which developed the dSPACE control system based on
MATLAB/Simulink and semi-physical simulation of the hardware and
software work platform, and it realized the MATLAB/Simulink/RTW's
completely seamless connectivity. The dSPACE hardware system processor
has high-speed computing power and is equipped with a wealth of I/O
support. This provides users with functional software which is powerful
and easy to use. It also includes the realization of automatic code
generation/downloads and a testing/debugging package of tools. The
dSPACE real-time system control algorithms and logic code acts as a
hardware operating environment. It is connected through the I/O board and
it controls objects for research and experiments to verify the feasibility of
the control scheme. This greatly simplifies the development process and
improves development efficiency.
Fig.5-14 is typical automotive control system V development process,
whereby the rapid control prototyping system can control the system in the
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principle stage by verification algorithms, and hardware in the loop test
system controller software and hardware. This significantly reduces
development risk as it makes the control system on the vehicle before
commissioning is simulated to verify the true condition of the assessment.
This greatly reduces the post-calibration and test times, shortens
development cycles, and reduces development costs.
Fig.5- 14 “V” Development Mode Based on Rapid Control Prototyping
5.4.2 Hardware
A control system is developed using a platform of DSPACE. Control
program and relative control circuits are also developed to realize the
integrated power-train control.
Fig. 5-15 displays the control systems used in the test, the Dspace
MicroAutoBox and Rapidpro rapid control prototyping systems. Fig.5-16
shows the UTS developed DCT control system which uses rapid
prototyping control systems.
138
Fig.5- 15 DSPACE MicroAutoBox Left /RapidPro Right
Fig.5- 16 DCT Control System base on MicroAutoBox
Fig. 5-17 presnets the DCT rig electrical schematics. There are three
kind of voltage levels in the system. The main power is 400V from the lab
to drive motor. A low power of 12V is employed to drive the control
system and cooling pump, and the torque sensors in the rig. Another 5V
system is used to power the DCT sensors.
140
5.4.3 Software
The control system of the rig should be simpler than the real vehicle
control system, because there are no battery pack and vehicle accessory
systems etc. Therefore the control system mainly utilizes basic logic
control, DCT shift control, and motor torque control.
Control system interfaces are defined in Fig.5-18. The input signals
are from the driver of the key, acceleration pedal, brake pedal, and shifter.
Also the signals are from MCU by CAN, and gearbox signals are the clutch
pressures, output shaft speed and temperature. Meanwhile the solenoid
valve current feedbacks from the RapidPro for clutch pressure control. To
control the shifting of dual clutch transmission, TCU controls the duty
cycle of three solenoids (i.e. main solenoid, clutch 1 solenoid and clutch
2solenoid). Some relays are also controlled by the VCU, such as the sensor
power relay, high power relay, low power relay and cooling pump relay.
141
VCU
MCU
Pedal
Enable
Accelerator
Direction
Brake
Driver
Brake
Key
Relay_low
Shifter P/R/N/D
CAN
TCU DCTK1 Pressure
K2 Pressure
OutputShaft Speed_1
5VGND
Main Soleniod ValveCurrent Main
Temperature
Ready
Analog
OutputShaft Speed_2
RapidPro
K1 Soleniod ValveK2 Soleniod Valve
Current K1
Current K2
Hydraulic Pump
Relay_highRelay_Cooling PumpOn/Off
On/Off
On/Off
dutyCycle Main
dutyCycle K1
dutyCycle K2
On/Off_Relay_Pump
On/Off_Relay_High
On/Off_Relay_low
Targ
et_G
ear(
0/1/
2)
Mot
or_S
peed
Cur
rent
_Gea
rM
otTo
q_R
eq Enable
Current K1
Current K2
MicroAutoBox
Relay_sensorOn/Off
Fig.5- 18 Signals Definition of Rig Control System
The DCT control program is shown in Fig. 5-19, and the control
algorithm is divided into the following sections: (1) Signal input: the key,
gear, throttle, brake signal acquisition and processing; (2) Power on and off
logic: this determines and controls the electric vehicle power on and off; (3)
main control logic: this is conducted to determine the operating conditions
as well as the target gear judgment; (4) Fault diagnosis: fault grading and
processing; (5) SOC estimation: because there is no battery on the rig. This
uses grid power, requiring electricity and the corresponding value of the
vehicle to be running SOC as it simulates the working conditions for the
judges and economic assessment test; (6) Working mode judgment:
according to various operating conditions, operational requirements to
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drive system contro are divided into parking, limp, sliding, crawling,
braking, driving, reversing etc. In total there are seven conditions; (7) Shift
control logic: shifting process control; (8) Cooling system control: the
motor cooling system control.
144
In order to monitor and calibrate the system developed in Dspace, the
monitoring software interface is shown in Fig.5-20 to Fig.5-23. Fig.5-20 is
the vehicle monitoring interface for the model real car driving instrument
display and driver throttle, brake and key input control signal. Fig.5-21 is
the motor control interface for the real-time status monitoring of the motor.
Fig.5-23 is the motor control software which comes with a monitoring
interface and functions in the same way as Fig.5-21. Fig.5-22 is the DCT
monitoring and calibration interface for calibration of the control
parameters of the DCT.
Fig.5- 20 Vehicle Monitor
146
Fig.5- 23 Motor Control Software
5.5 Rig Testing Results and Analysis
5.5.1 Shifting Control Testing
Power-On Up-Shifting Testing
Spee
d(r/m
in)
Fig.5- 24 Power-On Up-Shifting 1000r/min30Nm
147
Spee
d(r/m
in)
Fig.5- 25 Power-On Up-Shifting 3000r/min25Nm
From Fig.5-24 and Fig.5-25, the power-on up-shifting control can be
finished in 1.2s. During the inertial phase, motor torque drop down close to
zero and then recover. The output torque is smooth, but the shaft speed has
some vibrations in shifting of 500rpm. The up-shifting control of high
speed maybe can get a better comfort than low speed.
Power-Off Up-Shifting
Spee
d(r/m
in)
Fig.5- 26 Power-Off Up-Shifting (500r/min
148
Spee
d(r/m
in)
Fig.5- 27 Power-Off Up-Shifting 4000r/min
The power-off down-shifting can be finished in 0.7s in shifting of
500rpm, but can be longer in high speed of 4000rpm. During inertial phase
the motor torque can be negative, the braking torque deduces speed
synchronize time. And the vibration is lower in high speed shifting of
4000rpm than low speed of 500rpm.
Power-On Down-Shifting
Spee
d(r/m
in)
149
Fig.5- 28 Power-On Down-Shifting 500r/min25Nm
Spee
d(r/m
in)
Fig.5- 29 Power-On Down-Shifting 3000r/min25Nm
Power-on down-shifting can be finished in 0.8s. The motor torque is
kept almost constant. Also the speed vibration is lower in high speed
shifting of 3000rpm than 500rpm.
Power-Off Down-Shifting Testing
Spee
d(r/m
in)
150
Fig.5- 30 Power-Off Down-Shifting(500r/min)
Spee
d(r/m
in)
Fig.5- 31 Power-Off Down-Shifting(3000r/min)
Power-off down-shifting can be finished in 1.5s, but shifting time of
power-off is not important, it will not influence the shifting comfort. From
Fig.5-30 and Fig.5-31, the active motor torque control can reduce speed
synchronize time, but the pressure recover time is little bit longer, maybe
need to optimize.
5.5.2 Temperature Testing
Temperature Testing of First Gear
151
Mot
orSp
eed(
r/min
)
Fig.5- 32 DCT Temperature Testing Results 1st gear
Temperature Testing of Second Gear
Mot
orSp
eed(
r/min
)
0 10 20 30 40 50 60 70 80
0 20 40 60 80 100 120 140
DCT Temperature
DCT Bearing Temperature
Time(m)
Tem
pera
ture
() 71.6
56
0 20 40 60 80
100
0 20 40 60 80 100 120 140
Motor Temperature
MCU Temperature
Tem
pera
ture
()
Time(m)
0 20 40 60 80
100 120
0 20 40 60 80 100 120 140
DCT Temperature
DCT Bearing Temperature
Tem
pera
ture
()
Time(m)
74
104.6
152
Fig.5- 33 DCT Temperature Testing Results 2nd gear
In Fig.5-32 and Fig.5-33, it can be seen that when the motor rotates at
the speed of 5000-6000rpm, the maximum DCT oil temperature is 71.6
and 104.6 respectively in 1st and 2nd gear. This does not exceed the
maximum limit of 140 . During the process, the temperature of the motor
and MCU are 80 and 40 respectively. The DCT bearing temperature is
56 and 74 respectively. This is significantly lower than oil temperature,
and proves the transmission cooling system works well to cool the bearings.
5.5.3 Driving Cycle Testing
NEDC Driving Cycle Testing
0
20
40
60
80
100
0 20 40 60 80 100 120 140
Tem
pera
ture
()
Time(m)
154
Spee
d(r/m
in)
Fig.5- 35 UDDS Driving Cycle
In Fig.5-34 and Fig.5-35, there are two lines in the driving cycles; the
solid line is the target “vehicle” speed of the running cycle, while the
dashed line is the actual running speed in the experiment. Here, the rotating
speed on the transmission output shaft is converted to the equivalent of the
linear vehicle speed by multiplying by the tire radius. In the figures, the
gear shifting between first and second gears during the drive cycle shows
the first gear being used until about 30km/h before the gear shift is initiated.
The benefit of the electric motor is realized in the infrequency of gear
shifting. Obviously, the advantages of the two speed transmission results in
the reduction of the peak motor speed and torque in the prescribed drive
cycle.
The total running range calculated from a single driving cycle
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according to SOC consumption, as shown in Table.5-4
The battery SOC is estimated across one cycle of the NEDC and the
UDDS patterns and it decreases from 93.7% to 86.2% in a single NEDC
driving cycle. In Table.5-4 there are running range calculation results in the
total SOC scope of 124.66km under the NEDC cycle and 119.02km under
the UDDS cycle. These are closed to the simulation results of 118.68km
and 112.97km, but are a little bit higher than those values. Because the DC
voltage used in the rig to calculate SOC is constant at 380V, the battery real
voltage should be decreased during the SOC reduction.
Table.5- 4 Economic Performance
Initial SOC Final SOC Running Range of Single Cycle km
Calculated Total Running Range(km)
NEDC 93.7 86.2 11 124.66 UDDS 95 86.4 12 119.02
Motor working points in NEDC and UDDS running cycles are as
shown in Fig.5-36. Compared with the simulation results in Fig.2-4, there
are almost the same working points distributions. From that we can
conclude that the rig driving cycle testing matches the theoretical analysis
well.
156
Speed(r/min)
Speed(r/min)
Fig.5- 36 Motor Working Points NEDC/UDDS
5.5.4 Efficiency Testing
Efficiency testing is completed in BJEV. Due to the power-train being
integrated with a motor and gearbox, the assembly efficiency is measured
157
and Fig. 5-37 is the efficiency MAP. To compare the efficiency, the
efficiency MAP of a single reducer is also tested in Fig. 5-38.
0.8
0.8
0.8
0.8
0.85
0.85
0.85
0.85 0.850.85
0.88
0.880.88
0.880.88
0.90.9 0.9
0.92
Speed(rpm)
Torq
ue(N
m)
40kW
80kW
0 1000 2000 3000 4000 5000 6000 7000 8000 90000
50
100
150
200
250
Speed(r/min)
0.8
0.8 0.8
0.85
0.85
0.85 0.850.85
0.88
0.88
0.880.88
0.88
0.9
0.9 0.9
0.92
Speed(rpm)
Torq
ue(N
m)
40kW
80kW
0 1000 2000 3000 4000 5000 6000 7000 8000 90000
50
100
150
200
250
Speed(r/min)
Fig.5- 37 Efficiency MAP of Two Speed DCT Power-train includes Motor and Controller 1st gear/2nd gear
158
0.60.7 0.70.7
0.8
0.8 0.80.8
0.85
0.85
0.85 0.85
0.85
0.88
0.88
0.88
0.9
0.9
Speed(rpm)
Torq
ue(N
m)
40kW
80kW
0 1000 2000 3000 4000 5000 6000 7000 8000 90000
50
100
150
200
250
Speed(r/min)
Fig.5- 38 Efficiency MAP of Single Reducer Power-train (includes Motor and Controller)
In Fig.5-37and Fig.5-38, the high efficiency areas of the two speed
DCT are obviously greater than the single reducer gearbox. These are
employed to compare the efficiency difference directly. The statistics of the
area proportions are in Table.5-5.
Table.5- 5 Compare of Efficiency Area
Efficiency ≥80% ≥85% ≥90% Two Speed DCT(1st gear) 69.6 55.5 18.9 Two Speed DCT (2nd gear) 69.4 55.0 22.6 Single Reducer 68.3 40.5 5.0
From Table.5-5, the area proportions of two speed DCT in the
efficiency areas of >80%, >85% and >90% are all greater than that of the
single reducer. This is especially the case in the high efficiency areas (>85%
and >90%).
5.6 Conclusions
The test rig was built in UTS from the modification of a former engine
power-train rig. Some calibrations were calculated to match the electric
159
driving requirements. The frame structure was designed and made for the
new power-train installation. 400V DC power was installed to power the
motor.
For the preparation of the DCT rig testing, some testing criterions
were introduced and studied.
One of the most important part of the works is the control system
development. This was developed using the MicroAutoBox of DSPACE.
The control hardware, software and electrical schematics were developed.
Some testing was finished on the rig. This included shifting tests,
temperature tests, driving cycle tests, and efficiency tests. From the testing
results, we can reach the following conclusions:
1. The shift control program can achieve a good shifting of each shift
control. In most cases it can shift smoothly and there is no abnormal
noise;
2. The maximum transmission temperatures in a high-speed drive of 1st
gear and 2nd gear are 71.6 and 104.6 . This does not exceed the
maximum limit of 140 . The maximum temperatures of the bearing
housing after improved bearing lubrication are 56 (1st gear) and 74
(2nd gear). There is no over-temperature phenomenon which indicates an
improved lubrication system;
3. During the driving cycle tests, the shift control works well without
frequent shifting phenomenon. This indicates that the control program
can adapt well under different conditions. Further, the calculated
running range matches the simulation results well and verifies the
validity of the economy shift schedule;
4. From the efficiency testing MAP and statistics table, the efficiency of
the two speed DCT is greater than the single reducer.
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Chapter 6 Vehicle Integration and Road Testing
6.1 Vehicle Integration
Fig.6- 1 Q60FB Prototype Car
During the vehicle integration the two speed DCT is mounted on the
Q60FB pure electric vehicle, as in Fig.6-1. The engine compartment is very
narrow. In addition, the DCT is a little bit too big and the structure is
complex, so the layout work is difficult. (Fig.6-2)
Fig.6- 2 Q60FB Compartment Left and DCT sample Right
161
The compartment structure and component layout guarantee the
minimum modification requirements in the design process:
1) Define the power-train layout position and angle;
2) Define the motor and gearbox internal and external spline matching
and interface connection scheme;
3) Define the drive shaft and suspension modification scheme;
4) Define the braking, steering, AC, high voltage and low voltage
system layout scheme in the compartment;
Fig.6- 3 Vehicle Layout Scheme
162
Fig.6- 4 Compartment Layout
5) Satisfy DCT’s lubrication, cooling, and electrical interface
requirements, define DCT hydraulic pump position;
6) The motor and motor controller is closed. To shorten the three-phase
line, make the wire layout clearly, this can decrease power loss;
7) Electrical components in the compartment satisfy the fix and
maintenance dismantle request;
Fig.6- 5 Layout of Batteries
Batteries
Fuse Box
Motor Controller
Charger DCDC
12V Battery High Voltage Control Box
163
8) Batteries mounted under the floor and between the front and rear
suspensions. The crash safety should be considered along with the
axle load distribution, maintenance requirements and modification
convenience;
Fig.6- 6 Layout of Charger Port
9) The charger port is mounted at the position of the oil filler;
Fig.6- 7 Installation of the Real Car
Fig.6-7 is the real prototype car installation and working shop;
Advanced DCT technology is integrated with the pure electric drive
system. System efficiency and vehicle performance is optimized along with
the driving ride and comfort. In the process of two speed DCT development
and layout and following the principles of minimum modification and
vehicle performance guarantees, the project development cost and time
period can be decreased.
6.2 On Road Calibration
Real vehicle calibration is an important part of development. From the
164
real road testing and relative parameters adjustment, control performances
can be optimized to adapt to on road driving. Fig. 6-8 is calibration
working on the road; this work is finished in Beijing, on the road near the
BJEV Company.
Fig.6- 8 On Road Testing and Calibration
The main purpose of this thesis is the shifting control of DCT, so
mainly the calibration focuses on the shifting control algorithms. There are
two control methods researched in this thesis, the first traditional control
algorithm is calibrated on the rig, so on road calibration is focused more on
the second motor braking torque control. Fig.6-9 is the shifting curve of the
Power-On Up-Shift.
165
Spee
d(r/m
in)
Fig.6- 9 Power-On Up-Shift Results Motor Status 100-Drive 200-Brake
In Fig.6-9 we can see, from motor active braking control, the shifting
time can be shortened significantly, and speed synchronization can be
finished in 200ms. However, the subjective feeling of driving will be a little
worse; because of the minus torque during the shifting which causes
shaking and worsens the ride comfort.
Spee
d(r/m
in)
Fig.6- 10 Power-Off Up-Shift Results
In the Power-Off Up-Shifting, there is no torque output. The shifting
time is not a key point of the control, so braking control of the motor is not
that important.
From results, we can see that there is a big gap between the shifting
control rig testing results and the simulation results. This is because the
166
simulation model is an ideal model if viewed in relation to the
characteristics of clutch, but not if viewed in relation to hydraulic modes.
The control curves of in-car testing (Fig.6-9) are close to the rig
testing results (Fig.5-25), but there is still some difference between the two.
The rig testing can get smoother results during the shifting. Also the
hydraulic pressure is more difficult to control on the vehicle. We think the
difference between the two situations is inertial. On the rig is lower than the
real vehicle and the driving conditions on the road are tougher than the rig,
so the vehicle testing should be more difficult than the rig. That is why the
rig calibration cannot be instead of in-car calibration totally, but it is a good
reference to shorten the development time.
6.3 On Road Testing
Validation of vehicle performance, dynamic performance and
economic performance has been tested, and the results are displayed in
Table 6-1 and Table 6-2. From Table 6-1 and Table 6-2 we can see that
dynamic performance and economic performance testing results can almost
match the design simulated results.
6.3.1 Dynamic Performance Testing
Table.6- 1 Dynamic Performance Results (Q60EV-DCT)
Items Test Results Simulated Results
Dynamic Performance
Max Speedkm/h
Constant 140 146 Short time 184 187
0 100km/h acceleration time(s) 14.2 14 0 50km/h acceleration time(s) 5.1 4.9
Grade ability(%) 30 31
6.3.2 Economic Performance Testing
Table.6- 2 Economic Performance Results (Q60EV-DCT)
167
Items Test Results Simulated Results Economic
Performance Running Range
km
60km/h 138 146
Energy ConsumptionkWh/ 60km/h
14.7 13.7
6.4 Conclusions
Vehicle integration is an important part of the production development.
How to mount the prototype into the limited cabin space is the key point of
the layout design. Also on road calibration is an important step of the
control system development. In this chapter, the second control method of
the active braking torque control is calibrated on road. From the results, the
shifting time can be shortened significantly, and speed synchronization can
be finished in 200ms. However, the subjective feeling of driving will be a
little worse. Finally dynamic and economic performance tests have been
done on the vehicle. The results match the design requirements well.
168
Chapter 7 Thesis Conclusions
7.1 Summary of the Thesis
This project developed the two speed DCT prototype in cooperation
with UTS and NTC. In total, 3 samples were developed, two of which have
been shipped to China and mounted on one prototype vehicle.
The prototype was developed based on 6 speed DQ250. The technical
difficulties in the course of project development are the system design and
the modification of key modules of the DCT
system (hydraulic module, control module), control program development
and calibration, and rig test methods. In the project DCT theory analysis
and matching has been used to complete the simulation platform building
and the shift transient control theory part analysis. AVL/NTC Company’s
experience of transmission design and modification has been used in the
two speed DCT prototype design and manufacture and this mainly includes
the hydraulic system and mechanical parts. Control system development
occurred in three parts. AVL/NTC developed the shifting control program,
BJEV developed the vehicle control part program and finished the on
vehicle testing control system, and UTS developed the RCP control system
used on the test rig.
Control technology is the core of project development, through the
analysis of theoretical components and the simulation of DCT control. The
DCT control process and control mechanism theory have been analyzed.
Through rig test and vehicle test calibration, the control program
development technology and calibration method have been studied,
Because the electric drive system is different from the traditional
internal combustion engine, the motor can be driven in the more flexible
169
mode of brake and drive control. In this thesis, shifting control through
the driving and braking active speed control have been employed to
synchronize the target speed.
In addition, in the process of development it has been found that the
electric hydraulic pump is one of the key points of project
development, and the electric pump has worked in big current and high
energy consumption. The requirements of noise and durability in the
electric pump selection represent the primary project difficulty. This needs
continued research.
7.2 Summary of Findings and Contributions
In terms of the research of the two speed DCT pure electric drive
system in this thesis, the main contributions are as follows:
The first one is the gear ratio selection and design method of multi-
gear electric drive system:
The traditional gear ratio design method is based on an internal
combustion engine. The engine characteristics curve from the motor
characteristics curve is different. The inertial of the motor should be
smaller than the engine. The gear ratio selection theory of the motor should
be different from the engine. In particular, the gear ratio rate matching
engine cannot be greater than 1.7-1.8, or else the shifting will be difficult.
However, this value of gear ratio match with the motor can be up to 3 or
even greater, and the maximum value needs theoretical analysis. In addition,
the gear box of the internal combustion engine is generally 5 speed or 6
speed, and it can even be up to 8 speed. The maximum speed of the motor
is significantly higher than the engine, so 2speed or 3speed can satisfy the
need of vehicle drive, with the same effect as a traditional 5-6 speed gear
box. Furthermore, in terms of the reverse rotation of the motor, the reverse
170
shaft can be canceled in the electric drive system, so the reverse gear does
not need to design again, and the 1st gear can be used in the reversing drive.
The second contribution is the multi-speed transmission shifting
schedule design method:
The electric system shifting schedule design aims to improve system
efficiency and extend running range, so the shifting schedule design is
based on the drive line efficiency MAP. This is the same as the engine’s
shifting schedule design from the oil consumption MAP. This thesis found
the electric drive system economic shifting schedule design method was
just the electric drive system shifting schedule design method. Because the
transient characteristics of the motor are not that obvious, the two
parameters shifting method can satisfy the general shifting requirement.
But in consideration of the temperature influence of the electric system,
and the instability of the gear box transmission of the electric drive system,
the introduction of the temperature into the shifting is the next step.
The third contribution is the simulation method.
Generally University and research institutions adapt Matlab/Simulink
to build the system and vehicle simulation platform, and this needs
complex model building work. Companies always like to use mature
commercial simulation software, such as Crusie, Advisor etc. to do the
matching and control system development. In this thesis, commercial
software of AMESim was introduced to build the steady state simulation
platform, meanwhile the co-simulation method with Simulink was studied
and the control algorithm was developed in the simulink environment.
However, for the transient shifting control program development, Simulink
models were built to simulate the transient characteristics of the power-
train. But these two simulation platforms need more work for integration
purposes.
The fourth contribution is the pure electric multi speed transmission
171
shifting control method research.
Two of the shifting control methods were studied in this thesis. The
first was the traditional shifting control method; and the second was the use
of the motor active braking torque control to shorten the motor speed
synchronous time. The results show that the shifting time can be shortened
significantly, but the ride comfort will be worsened because of the torque
hole during the motor negative braking torque in the inertial phase.
Through shifting control, we can find that if the motor inertial is lower
than the engine, this changes the dynamics of the speed phase of the shift.
Additional motor control and the torque handover algorithm is required for
fully optimized control. This may be a solution to the instability at the end
of the shift.
The fifth contribution is the rig testing and calibration method.
There has been no multi-speed gearbox testing criterion of electric
power-train system in recent years. In this research, through the
introduction of manual transmission and automatic transmission, and the
motor testing method, the two speed DCT was tested on the rig. This
included the shifting testing and calibration, temperature testing, and
driving cycle simulation testing of NEDC and UDDS.
The sixth contribution is the concept of multi-speed transmission
structure and exploration.
During the research of the two speed DCT in this project development,
some other kinds of multi-speed electric drive systems were also studied,
such as the two motor multi-speed system, and multi speed electric system
based on the CVT. In terms of the multi speed of the AMT system for the
torque interruption during shifting, the ride comfort will be worse. The
multi speed electric drive system based on AT or CVT for the complexity
of structure, and the system efficiency is a little bit low. The electric power-
train used in the DCT can get good system efficiency and shifting comfort
172
but the control complexity will increase. The key point is that the modules
(hydraulic module and dual clutch module) are the main challenge of the
industrialization.
In the two motor multi speed system through the means of the
introduction of the second motor into the system, the same function of the
dual clutch’s non-torque interruption can be realized through two motor
torque controls. However, the cost and control should be the research points.
Overall, the multi-speed electric power-train is much more flexible
than the multi speed engine system so a bigger design space in terms of
structure and control needs to be explored.
7.3 Limitations to Research
Up to now, the project has achieved two speed DCT prototype
development and on vehicle testing. This has been initially realized in
the control function but there are still many shortcomings which need to be
further improved. The main shortcomings are as follows:
The first one is the shifting schedule research is only considered from
the steady state, and more works concerning the transient state should be
introduced into the research. Furthermore, only two parameters have been
studied in terms of the schedule design, and more parameters such as
battery characteristics and the gearbox temperature should be considered.
The second one is the shifting control algorithm. This still needs to be
explored in more control methods, such as:
Torque instability at the end of the shift:
This is due to motor control, although further optimization torque
handover may also achieve significant improvements. If during the speed
phase of the torque handover a speed control is used this may be able to
resolve the issue.
173
Solenoid driving:
The solenoid control is highly non-optimized. Considerable
improvement can be achieved with a better driver circuit and control.
This issue created inconsistent shifting.
The third one is the transient control theory research which still needs
more exploration. In this thesis, up-shifting control has been researched,
but the shift during braking has not been considered. So how to use this
platform to extend the transient research, make comparisons in terms of the
theory and testing results, and direct the multi gear electric drive system
(and even the hybrid system design and control) are worth further research.
This will help to push the development of electric power-train and relative
industrialization.
The fourth one is the multi speed electric structure analysis is not
enough. The theoretical support is still limited and it requires more
exploration for it to work, such as different transmission being used in
electric power-train, etc.
7.4 Future Research
In Chapter Two, the two motor multi speed system was analyzed, and
the comparison with the single reducer system was outlined. This provided
a power split system design concept. It is one of the key optimization
methods. Another method is the optimization of the existing single motor
system. From the two speed DCT we can conclude that to improve the
efficiency of the electric power-train, this should be done mainly through
the improvement of the motor working points to reduce system loss and
increase system efficiency. Another method is through a decrease in the
accessory system. The following structure is from these two methods to
improve the system efficiency; and it is important for further research.
174
The two speed electric power-train based on the mechanical pump was
provided; and a detailed structure is in Fig.7-1.
1st gear
2nd gear
MechanicalPump
Differential
Input shaftOutputShaft
Main Gear
Clutch
One way bearingclutch
Torsionalvibrationdamper
Clutch Actuator
Fig.7- 1 Two Speed Electric Power-train used Mechanical Pump
The two speed electric power-train system used mechanical pump
mainly includes a torsion vibration damper, 1st gear and 2nd gear, one-way
bearing clutch, shifting clutch, mechanical pump, main gear and differential.
The output shaft of the motor connects to transmission input shaft
through the torsion vibration damper. The function of the damper is to
reduce torque vibration and guarantee ride comfort. The 1st gear connects to
the input shaft through a one-way clutch. There is a shifting clutch between
the 1st gear and 2nd gear. The engagement of the clutch is the shifting
process. The mechanical pump is fixed on the outside of the input shaft,
and it is driven by the motor.
The innovations of this structure are:
175
The one way clutch and shifting clutch are used to realize the shifting
control, and it is the sample. During the shifting, we only need to control
the engagement or disengagement of the shifting clutch. The one way
clutch automatically disengages because of the difference in the shaft speed.
It is easy to control.
The one-way clutch structure of the 1st gear makes it possible to use
the mechanical pump. It can be simple and cost saving compared to the
general automatic transmission electric pump.
The shifting clutch is often open at the initial state, and this makes it
possible to start the vehicle without pump pressure. When motor speed
reaches a given value, the mechanical pump pressure can be the set value,
and the shifting can be done. This makes it possible for the system energy
saving in the general condition.