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Energy management system based on fuzzy control approach for hybrid electric vehicle

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4 Author(s)
Wang Yifeng ; Sch. of Mech. & Automotive Eng., Zhejiang Univ. of Sci. & Technol., Hangzhou, China ; Zhang Yun ; Wu Jian ; Chen Ning

In order to realize optimal distribution between two types of energy in hybrid electric vehicle (HEV) and assure the reasonable operation of motor and battery, an optimal method based on energy fuzzy control strategy is presented. The proposed energy fuzzy control strategy is modeled in SIMULINK and incorporated into the vehicle simulation software ADVISOR. Then, to the lack of the traditional method of getting membership function and fuzzy rules, it is presented that using the genetic algorithms optimizes the membership function of the original fuzzy logic controller. Finally, using simulation compares the optimized fuzzy logic controller and the original fuzzy logic controller, and the results show that the optimized fuzzy logic control strategy is effective in improving the fuel economy of HEV.

Published in:

Control and Decision Conference, 2009. CCDC '09. Chinese

Date of Conference:

17-19 June 2009