Research on Multi-Objective Compound Energy Management Strategy Based on Fuzzy Control for FCHEV

Cuixia Lin, Wenguang Luo, Hongli Lan and Cong Hu
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Cuixia Lin: Guangxi Key Laboratory of Auto Parts and Vehicle Technology, School of Electrical and Information Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China
Wenguang Luo: Guangxi Key Laboratory of Auto Parts and Vehicle Technology, School of Electrical and Information Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China
Hongli Lan: Guangxi Key Laboratory of Auto Parts and Vehicle Technology, School of Electrical and Information Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China
Cong Hu: Guangxi Key Laboratory of Automatic Detecting Technology and Instruments, School of Electronic Engineering and Automation, Guilin University of Electronic Science and Technology, Guilin 541004, China

Energies, 2022, vol. 15, issue 5, 1-14

Abstract: A compound energy management strategy is proposed to improve the fuel cell’s durability and the economy of fuel cell hybrid electric vehicles (FCHEV). A control strategy that combines fuzzy control and switching control is proposed, taking into account factors that affect the fuel cell’s durability and the supercapacitor park’s safety. To smooth the output power of fuel cells under frequent variable load conditions, a moving average filtering algorithm has been added. Finally, co-simulation using Advisor and Matlab/Simulink under the World Light Vehicle Test Cycle (WLTC) compares the proposed strategy with fuzzy control and power following strategies. The experimental results show that the proposed strategy ensures the safety of the supercapacitor park and improves the durability of the fuel cell while improving the economy of the whole vehicle.

Keywords: FCHEV; fuzzy control; moving average filter; durability; economy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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