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Automotive Engineering ›› 2022, Vol. 44 ›› Issue (1): 64-72.doi: 10.19562/j.chinasae.qcgc.2022.01.009

Special Issue: 新能源汽车技术-电驱动&能量管理2022年

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Research on Optimization Control Strategy for Braking Energy Recovery of a Battery Electric Vehicle Based on EMB System

Jiujian Chang,Yufan Zhang()   

  1. 1.Intelligent Manufacturing Institute of Hefei University of Technology,Hefei  230000
    2.School of Automobile and Traffic Engineering,Hefei University of Technology,Hefei  230000
  • Received:2021-09-22 Revised:2021-10-28 Online:2022-01-25 Published:2022-01-21
  • Contact: Yufan Zhang E-mail:244678736@qq.com

Abstract:

In order to increase the energy recovered during electric vehicle braking and reduce energy waste, a regenerative braking force distribution method based on electro-mechanical braking (EMB) system is proposed. Firstly, the current braking strength is obtained according to the signal of brake pedal, and the braking forces of the front and rear axle are obtained respectively based on the strategy for braking force distribution between the front and rear axles. Then, the fuzzy controller is created with the vehicle speed, the battery SOC and the travel of brake pedal as inputs and the proportion of regenerative braking as output, and the fuzzy controller is optimized by using PSO algorithm, with maximizing the energy recovered during braking as optimization objective. Finally, a Simulink/AVL-Cruise joint-simulation is carried out. The results show that the energy recovered is increased by 2.5% under NEDC condition and by 1.56% under CLTC-P condition.

Key words: battery electric vehicles, braking energy recovery, electro-mechanical braking, particle swarm optimization, joint simulation