towards virtual vehicle dynamics evaluation - svea … · 05/03/2015 towards virtual vehicle...
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Towards virtualvehicle dynamics
Evaluation
Gaspar Gil Gómez
May 3, 2016
SVEA Vehicle Dynamics Seminar 2016
A
pleasant
trip?
Or as a
threat
to life?
What makes the difference?
Does the driver perceive it as...
05/03/2015 TOWARDS VIRTUAL VEHICLE DYNAMICS EVALUATION - GASPAR GIL GÓMEZ 3
05/03/2015
Why? - Research motivation
TOWARDS VIRTUAL VEHICLE DYNAMICS EVALUATION - GASPAR GIL GÓMEZ
Why investing effort, time and money in this project?
Vehicle dynamics development strongly based on subjective testing
• High expenses (expert drivers – prototypes)
• Based on a mixed of experience and “Trial & Error”)
Subjective assessments and their relation with objective metrics have to be understood
Vehicle dynamics development
4
05/03/2015 TOWARDS VIRTUAL VEHICLE DYNAMICS EVALUATION - GASPAR GIL GÓMEZ
Why investing effort, time and money in this thesis?
Vehicle dynamics development strongly based on subjective assessments (SA)
Model-based development (i.e. objective metrics – OM) desired to:
• Reduce cost and development time
• Increase customers satisfaction ( requirements)
However, current models are not able to predict steering and handling feel!
Therefore, SA and their relation with OM have to be understood
Why? - Research motivation
5
05/03/2015 TOWARDS VIRTUAL VEHICLE DYNAMICS EVALUATION - GASPAR GIL GÓMEZ
How can the knowledge about
the correlation between subjective assessments and objective metrics
be increased?
In addition, how can this knowledge enable
an efficient vehicle dynamics evaluation?
How - Research question
6
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Vehicle dynamics development: from tradition to virtual
TOWARDS VIRTUAL VEHICLE DYNAMICS EVALUATION - GASPAR GIL GÓMEZ
Subjective Assessments
EVALUATION ESTIMATION
Level 2 Level 3 Level 4 Level 5
Steering Feel
Parking/Manoeuvring
Effort
Returnability
Manoeuvrability
Straight-ahead Controllability
Response Window
Roll Control
Torque Feedback
Torque Deadband
Torque Buildup
Friction Feel
Damping
Modulation
Cornering Controllability
Response
Roll Control
Torque Feedback Torque Buildup
Returnability
Modulation
Objective Metrics
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Vehicle dynamics development: from tradition to virtual
TOWARDS VIRTUAL VEHICLE DYNAMICS EVALUATION - GASPAR GIL GÓMEZ
Subjective Assessments
EVALUATION ESTIMATION
Level 2 Level 3 Level 4 Level 5
Steering Feel
Parking/Manoeuvring
Effort
Returnability
Manoeuvrability
Straight-ahead Controllability
Response Window
Roll Control
Torque Feedback
Torque Deadband
Torque Buildup
Friction Feel
Damping
Modulation
Cornering Controllability
Response
Roll Control
Torque Feedback Torque Buildup
Returnability
Modulation
Objective Metrics
05/03/2015 9
Vehicle dynamics development: from tradition to virtual
TOWARDS VIRTUAL VEHICLE DYNAMICS EVALUATION - GASPAR GIL GÓMEZ
Subjective Assessments
EVALUATION ESTIMATION
Level 2 Level 3 Level 4 Level 5
Steering Feel
Parking/Manoeuvring
Effort
Returnability
Manoeuvrability
Straight-ahead Controllability
Response Window
Roll Control
Torque Feedback
Torque Deadband
Torque Buildup
Friction Feel
Damping
Modulation
Cornering Controllability
Response
Roll Control
Torque Feedback Torque Buildup
Returnability
Modulation
Objective Metrics
?
correlations
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Correlation between Om & sa
TOWARDS VIRTUAL VEHICLE DYNAMICS EVALUATION - GASPAR GIL GÓMEZ
Lin
ear
anal
ysis
LEVEL 2-4
LINEAR REGRESSION CONFIDENCE INTERVAL
LEVEL 5
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Correlation between Om & sa
TOWARDS VIRTUAL VEHICLE DYNAMICS EVALUATION - GASPAR GIL GÓMEZ
Non
-Lin
ear
anal
ysis
Artificial Neural networks
LEVEL 2-4
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OM – SA correlations (om PREFERRED RANGE)
Identified preferred OMs. DS1: C-, D- & E-class. DS2, DS3 and King. et al. (2002): only D-class.
Within parenthesis (): OM-SA correlation without high confidence, e.g. OM-12: (1.5 – 2.0 °/g)
Within brackets []: OM corresponding to the middle SA value for level 5, i.e. SA = 3, e.g. OM-1: [4°]
No Objective measure All DS DS2 DS1 King et al.
(2002)
1 Window [°] < 3.5
Lv.5 [4] <3.7
2 Response Gain Straight Path
[°/s/100°SWA] > 25 29.5-33.5 25-30 20-25
3 Lateral Acc. Resp. Gain [g/100°SWA] LS > 1.1 >1.125 >1.25
4 Lateral Acc. Resp. Gain [g/100°SWA] HS > 1.7 >1.8
5 Gain Linearity [-] (<1.4)
7 Roll Control Straight Path [°/s/g] < 31.25 <30.5
8 Torque Deadband [°] 1.2-2.0
Lv.5 [2] <1.6 <2.2
... ... ...
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OM - 2Response gain straight path
OM - 3Lateral acceleration
response gain
low speed
OM - 4Lateral acceleration
response gain
high speed
OM - 11Yaw response
gain
OM - 24Low speed
response gain
OM - 12Response gain
understeer
OM - 17Ay - Yaw phase
time lag @ 4m/s2
OM - 1Window
OM - 9Torque build-up
OM - 19Torque build-up into the corner
OM - 8Torque deadband
OM - 23Effort level
OM - 15Yaw - SWA phase time lag @ 4m/s2
OM - 16Ay - SWA phase
time lag @ 4m/s2
High correlation
Medium correlation
SA-SA & OM-OM auto-Correlations
12/06/2015 16
Driver rating tendency and repeatability
TOWARDS EFFICIENT VEHICLE DYNAMICS EVALUATION USING CORRELATIONS OF OBJECTIVE METRICS AND SUBJECTIVE ASSESSMENTS - GASPAR GIL GÓMEZ
It has been identified the need to improve SA:
• Different drivers’ test procedures.
• Different drivers’ rating tendency.
• Different usage of the rating scale.
• Rating repeatability
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Vehicle dynamics development: from tradition to virtual
TOWARDS VIRTUAL VEHICLE DYNAMICS EVALUATION - GASPAR GIL GÓMEZ
Subjective Assessments Objective Metrics
Ph
ys
ica
l
Te
sti
ng
Vir
tua
l
Te
sti
ng
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Vehicle dynamics development: from tradition to virtual
TOWARDS VIRTUAL VEHICLE DYNAMICS EVALUATION - GASPAR GIL GÓMEZ
Subjective Assessments Objective Metrics
Ph
ys
ica
l
Te
sti
ng
Vir
tua
l
Te
sti
ng
• Improve quality-efficiency of SA• rating spread
• time required
• non answered questions
• Focusing in key-questions
• Complement numerical data
• Study of OM on winter conditions• To allow winter OM-SA
correlations
• Continue with OM-SA ANN studies
12/06/2015 19
• Increase knowledge on SA in the Moving Based Driving Simulator• MBDS-SA Validation
Further REQUIRED steps TOWARDS VIRTUAL VERIFICATION
TOWARDS EFFICIENT VEHICLE DYNAMICS EVALUATION USING CORRELATIONS OF OBJECTIVE METRICS AND SUBJECTIVE ASSESSMENTS - GASPAR GIL GÓMEZ
3 MSc Thesis
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MBDS SA VALIDATION – MODEL CONSTRUCTION
TOWARDS VIRTUAL VEHICLE DYNAMICS EVALUATION - GASPAR GIL GÓMEZ
Vehicles Configurations
EPAS
tyres
dampers
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MBDS SA VALIDATION – MODEL VALIDATION (om vs OM)
TOWARDS VIRTUAL VEHICLE DYNAMICS EVALUATION - GASPAR GIL GÓMEZ
05/03/2015 23
MBDS SA VALIDATION – MBDS VALIDATION (SA vs SA)
TOWARDS VIRTUAL VEHICLE DYNAMICS EVALUATION - GASPAR GIL GÓMEZ
Driver Gender Age Experience
Skill Role
A Male 54 30 5 Technical leader
B Male 35 7 5 Development Engineer
C Male 29 0.5 3 Development Engineer
D Male 34 4 4 Development Engineer
Test Drivers
Vehicles Configurations
Contact: [email protected]
THANK YOU FOR YOUR ATTENTION!
Tack så mycket! ¡MUCHAS Gracias!
QUESTIONS ?Contact: [email protected]