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Investigation to Simulation of Control Strategy for Series-Parallel Hybrid Electric Vehicle

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3 Author(s)
Yunpeng Li ; Clean Energy Automotive Eng. Center, Tongji Univ., Shanghai, China ; Peng Yi ; Meng Wang

In the environment of ADVISOR developed from the Matlab/Simulink, a fuzzy control strategy is proposed for series - parallel hybrid electric vehicle (PSHEV) using fuzzy logic and the curve of maximum engine power. The fuzzy control strategy not only absorbs some benefits of the logic threshold control strategy, but also uses fuzzy logic to build torque distribution controller to distribute the torque of the hybrid system. In the progress of designing and researching fuzzy logic control strategy, the structural characteristics of the hybrid driving system and control objectives are analyzed in detail. Then use fuzzy logic technology to complete the design and development of control strategies. Finally, take the fuzzy strategy into the simulation of a variety of road conditions. Through the analysis and comparison, the simulation results show that the fuel economy of the fuzzy control strategy has been greatly improved by 6% compared to conventional logic threshold control strategy.

Published in:

Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2012 4th International Conference on  (Volume:2 )

Date of Conference:

26-27 Aug. 2012