Modeling and Control Strategy of Series Hybrid Electric Vehicles

Liang Zhang; Bin Jiao; Lei Li

doi:10.4028/www.scientific.net/AMM.543-547.1246

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547Modeling and Control Strategy of Series Hybrid...

Modeling and Control Strategy of Series Hybrid Electric Vehicles

Abstract:

The modeling method and control strategy for series hybrid electric vehicles were presented in this paper. Firstly, the system structure and operation principles are discussed systematically; and then a control strategy is proposed based on the modeling of powertrain. Control strategy focus on the multi-modes switch logic and power distribution. In the last part of this paper, the simulation made in MATLAB/Simulink was introduced, which results indicate that the model and control strategy are correct.

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Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

1246-1249

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.1246

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Online since:

March 2014

Authors:

Liang Zhang*, Bin Jiao, Lei Li

Keywords:

Control Strategy, Hybrid Electric Vehicle, Modeling Method, Simulation

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* - Corresponding Author

References

[1] A. M. Phillips, M. Jankovic, K. Bailey, Vehicle system controller design for a hybrid electric vehicle, J. Proc. IEEE Int. Conf. Control Appl. 9(2000) 297–302.

DOI: 10.1109/cca.2000.897440

Google Scholar

[2] D. Sun, M. L. Hong. Fuzzy control of power management for a plug-in hybrid electric vehicle . J. Proc. Inst. Mech. Eng. D: Automobile Eng. 210(2003) 1071–1078.

Google Scholar

[3] F. Syed, M. Kuang, M. Smith, et al. Fuzzy gainscheduling proportional–integral control for improving engine power and speed behavior in a hybrid electric vehicle, J. IEEE Trans. Veh. Technol. 58(2009) 69–84.

DOI: 10.1109/tvt.2008.923690

Google Scholar

[4] K. Ahn, S. Cho, S. Cha, et al, Engine operation for the planetary gear hybrid powertrain, J. Proc. Inst. Mech. Eng. D: Automobile Eng. 220(2006) 1727–1735.

DOI: 10.1243/09544070jauto279

Google Scholar

[5] F. Syed, M. Kuang, J. Czubay, et al, Derivation and experimental validation of a power-split hybrid electric vehicle model, J. IEEE Trans. Veh. Technol. 55(2006)1731–1747.

DOI: 10.1109/tvt.2006.878563

Google Scholar

[6] S. G. Wirasingha, A. Emadi, Classification and review of control strategies for plug-in hybrid electric vehicles, J. IEEE Trans. Veh. Technol. 60(2011) 111–122.

DOI: 10.1109/tvt.2010.2090178

Google Scholar

[7] J. H. Yan,W. S. Li, Q. Y. Zhan, Failure mechanism of valve-regulated lead-acid batteries under high-power cycling, J. Power Sources, 133(2004) 135–140.

DOI: 10.1016/j.jpowsour.2003.11.075

Google Scholar