hybridization of an urban car(series): battery model
DESCRIPTION
Hybridization of an Urban Car(Series):Battery ModelTRANSCRIPT
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Hybridization of an Urban Car(Series)
Battery Model
Tariq Kareemulla 30-05-2013
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The Model
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• Battery-circuit(Matlab-SIMULINK) :
The Model
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• Dynamic Approach:
Battery Open-circuit voltage, Internal resistance & transient resistances/capacitances as a function of the SoC.
• Static Approach:
SoC is estimated by Coulomb Counting method (SOC is computed and corrected using a PI controller).
Proposed Methods
* Ref [1]
* Ref [6]
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Dynamic Model
* Ref [1]
Equations:
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Dynamic Model
Block Diagram of the Proposed Method
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Data Necessary For Simulation
* Ref [1]
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The MATLAB-Simulink model of the proposed technique was simulated , but the results were quite surprising compared to the reference*. Hence not shown in this presentation.
Simulation Results
* Ref [1]
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Static Model
Where,SoCi = Initial SoC
Qnom = Nominal Capacity of the battery
I = Current flowing through the battery
N.B- The magnitude of current is taken as positive for discharging process and negative for charging process.
nomi Q
dt ISoCSoC
Equations:
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Static Model
Block Diagram of the Proposed Method
* Ref [6]
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• The error signal produced is given by,ε = Vbat, meas – Vbat, model
• The actual SoC estimated i.e. SoCe is given by,
SoCe = SoCcc + SoCcf
The correction factor produced by the PI controller is given by, SoCcf = Gc(s). ε
Where, Gc(s) = Transfer Function of the PI Controller
Controller
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The remaining runtime “Tr” is calculated as,
Tr = [SoCe – SoC(EoD)] * Qnom
_____________________________ Ibat
Where, Qnom = Nominal Capacity of the Battery
SoC(EoD) = SoC at End of Discharge (EoD)
Ibat = Battery Current
SoCe = Actual estimated SoC
Remaining Time estimation
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The MATLAB-Simulink model of the proposed technique was simulated with the following parameters :• Qmax. (The capacity of the battery) =4.5Ah• The initial SoC(SoCi) =100%• OCV (Open-circuit voltage ) =3V
The model was simulated for a time-period of 75 seconds , for a discharge current and the SoC and terminal Voltage are estimated as shown in the following figures(Next slide)
Simulation Results
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Simulation Results
SO
C (%
)Volt
age (V
)
Time (s)
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Progress Report
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• The basic principle behind the Hybrid powertrain and the parameters and equations governing their operation were thoroughly studied throughout the project.
• With the rising importance for battery, both in the automotive industry and the energy sector, it is of critical importance to develop more accurate algorithms for SoC estimation of the battery.
• Despite sincere efforts to understand all the characteristics of HEV batteries, simulation and analysis were mostly carried out for Discharge currents, during the course of the project work.
Conclusion
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References[1] Ryan C. Kroeze and P. T. Krein, “Electrical Battery Model for Use in Dynamic Electric Vehicle Simulations”, in Power Electronics Specialists Conference, pp. 1336-1342, 15-19 June 2008.
[2] Vehicle Propulsion Systems- Lino Guzzella & Antonio Sciarretta
[3] Linden’s Handbook of Batteries - edited by Thomas B. Reddy
[4] Li-ion battery models for HEV simulator - M. Debert, G. Colin, M. Mensler, Y. Chamaillard, L. Guzzella
[5] Datasheet-A123 Systems (High Power AHR32113 Cylindrical Cell) http://www.a123systems.com/32113-lithium-iron-phosphate-high-power-batteries.htm
[6] SOC estimation of Rechargeable Batteries - Jeevan Reddy(M.Tech Power Electronics & Drives, VIT)
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THANK YOU
Team Series– Abijoe
– Raaj– Rohan
– Shankar– Tariq
– Venkat