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Automotive Engineering ›› 2019, Vol. 41 ›› Issue (6): 615-624.doi: 10.19562/j.chinasae.qcgc.2019.06.002

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Multi-Fuzzy Control Based Energy Management Strategy ofBattery/Super-capacitor Hybrid Energy System of Electric Vehicles

Yao Dizhao, Xie Changjun, Zeng Tian, Huang Liang   

  1. School of Automation, Wuhan University of Technology, Wuhan 430070
  • Received:2018-05-22 Published:2019-07-03

Abstract: The energy management strategy of multi fuzzy control is proposed and designed, in order to overcome the shortcomings of the single fuzzy control strategy for electric vehicle with lithium battery-super-capacitor hybrid energy system. According to the actual parameters of the test bench, the vehicle model is built under the MATLAB environment. Through the comparison and analysis of the pulse modulation fuzzy control strategy, power allocation factor fuzzy control strategy and modified fuzzy control strategy based on pulse modulation under the ECE and UDDS driving cycle, the optimal modified fuzzy control strategy based on pulse modulation is embedded into the experimental bench for verification. The experimental results show that the control strategy proposed in this paper can achieve smooth control of the charging and discharging current of lithium batteries within 1C under different SOC conditions, which is conducive to the safe operation of the lithium battery and can effectively reduce driving cost of the vehicle.

Key words: battery/super-capacitor hybrid energy electric vehicle, energy management strategy, multi fuzzy control, modified fuzzy control strategy based on pulse modulation