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A Study on Fuzzy Control of Energy Management System in Hybrid Electric Vehicle

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4 Author(s)
Zhang Danhong ; Sch. of Electr. Eng., Wuhan Univ., Wuhan ; Zhou Yan ; Liu Kai-Pei ; Chen Qing-Quan

In order to realize optimal distribution between two types of energy in 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:

Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific

Date of Conference:

27-31 March 2009