Energy Management Control of Range-Extended Electric Vehicle Based on Fuzzy Control

ZHONG Yong; QIU Huangle; LI Fangzhou; FAN Zhouhui; YI Simin

doi:10.3969/j.issn.1001-2222.2024.02.010

Vehicle Engine ›› 2024, Vol. 0 ›› Issue (2) : 68. DOI: 10.3969/j.issn.1001-2222.2024.02.010

Energy Management Control of Range-Extended Electric Vehicle Based on Fuzzy Control

ZHONG Yong,QIU Huangle,LI Fangzhou,FAN Zhouhui,YI Simin

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Abstract

In order to improve the fuel economy and adapt to more complex driving conditions of range-extended electric vehicles(EVs), a conventional power following control strategy model, a fuzzy power following control strategy model and an acceleration fuzzy control power following control model were developed to control the battery SOC within the operating range and acquire the appropriate equivalent 100 km fuel consumption with the premise of ensuring the dynamics of the EVs. The vehicle model was built and its dynamics was verified with AVL_Cruise software, and the control strategy model was simulated and analyzed under WLTC and CLTC conditions using Matlab/Simulink software. The experiments show that the equivalent 100 km fuel consumption of traditional power following control strategy is lower than the other two control strategies under WLTC and CLTC conditions with the premise of meeting the dynamics requirements, but it is poorly adapted to the more complex conditions of CLTC, incorporating that the range of battery SOC is lower than the manufacturer-given range so as to affect the life of battery. The fuzzy power following control strategy introduces the battery SOC state to effectively improve the defects of poor adaptability to complex working conditions from the traditional power following, but there is a high equivalent 100 km fuel consumption and its own adaptability to complex working conditions still has defects. Considering the advantages and disadvantages of the first two control strategies, the factor of acceleration is introduced and the acceleration fuzzy control power following strategy is put forward, which solves the defects of the first two poor adaptability to complex working conditions and improves the fuel economy compared with the fuzzy power following control strategy.

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range-extended electric vehicle / fuel economy / energy management / fuzzy control

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ZHONG Yong,QIU Huangle,LI Fangzhou,FAN Zhouhui,YI Simin. Energy Management Control of Range-Extended Electric Vehicle Based on Fuzzy Control[J]. Vehicle Engine. 2024, 0(2): 68 https://doi.org/10.3969/j.issn.1001-2222.2024.02.010