Inversion-based control of a double parallel Hybrid Electric Vehicle: Validation in a structural software

This paper deals with the validation of the control structure of a double parallel Hybrid Electric Vehicle (HEV). Indeed, using inversion-based rules of Energetic Macroscopic Representation (EMR), a systematic control structure can be deduced. The objective of this paper is to test this control in the structural software of PSA Peugeot Citroën.

[1]  Ali Emadi,et al.  Modeling and Simulation of Electric and Hybrid Vehicles , 2007, Proceedings of the IEEE.

[2]  Ching Chuen Chan,et al.  Electric, Hybrid, and Fuel-Cell Vehicles: Architectures and Modeling , 2010, IEEE Transactions on Vehicular Technology.

[3]  Walter Lhomme,et al.  Switched Causal Modeling of Transmission With Clutch in Hybrid Electric Vehicles , 2006, IEEE Transactions on Vehicular Technology.

[4]  Xavier Guillaud,et al.  Energetic Macroscopic Representation and Inversion-Based Control Illustrated on a Wind-Energy-Conversion System Using Hardware-in-the-Loop Simulation , 2009, IEEE Transactions on Industrial Electronics.

[5]  Dean Karnopp,et al.  Analysis and simulation of multiport systems : the bond graph approach to physical system dynamics , 1968 .

[6]  P. Naderi,et al.  Driving/regeneration and stability driver assist in 4WD hybrid vehicles , 2008, 2008 Australasian Universities Power Engineering Conference.

[7]  Sung-Ho Hwang,et al.  Vehicle Stability Enhancement of Four-Wheel-Drive Hybrid Electric Vehicle Using Rear Motor Control , 2008, IEEE Transactions on Vehicular Technology.

[8]  P. Gawthrop,et al.  Bond graph based control , 1995, 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century.

[9]  Xiao-hua Zeng,et al.  Co-simulation with AMESim and MATLAB for differential dynamic coupling of Hybrid Electric Vehicle , 2009, 2009 IEEE Intelligent Vehicles Symposium.

[10]  A. Bouscayrol,et al.  Different models of a traction drive for an electric vehicle simulation , 2010, 2010 IEEE Vehicle Power and Propulsion Conference.

[11]  Yimin Gao,et al.  Hybrid Electric Vehicle: Overview and State of the Art , 2005, Proceedings of the IEEE International Symposium on Industrial Electronics, 2005. ISIE 2005..

[12]  Ho-Gi Kim,et al.  A new topology and control scheme for 4WD HEV using a DFIM with a reduced size converter-inverter , 2005, Fourtieth IAS Annual Meeting. Conference Record of the 2005 Industry Applications Conference, 2005..

[13]  C. C. Chan,et al.  The State of the Art of Electric, Hybrid, and Fuel Cell Vehicles , 2007, Proceedings of the IEEE.

[14]  K. B. Wipke,et al.  ADVISOR 2.1: a user-friendly advanced powertrain simulation using a combined backward/forward approach , 1999 .

[15]  A. Bouscayrol,et al.  Modelling and control of a double parallel hybrid electric vehicle using Energetic Macroscopic Representation , 2009, 2009 8th International Symposium on Advanced Electromechanical Motion Systems & Electric Drives Joint Symposium.

[16]  A. Bouscayrol,et al.  Energetic Macroscopic representation and PSIM® simulation: Application to a DC/DC converter input filter stability , 2010, 2010 IEEE Vehicle Power and Propulsion Conference.

[17]  F. R. Salmasi,et al.  Control Strategies for Hybrid Electric Vehicles: Evolution, Classification, Comparison, and Future Trends , 2007, IEEE Transactions on Vehicular Technology.