Optimization strategies of torque distribution for front and rear dual motor driven electric vehicles

被引：0
|
作者：
Qi, Xing [1 ,4 ]
Wang, Qun-Jing [2 ,3 ]
Zhang, Qian [1 ,5 ]
Li, Guo-Li [1 ,3 ]
机构：
[1] School of Electrical Engineering and Automation, Anhui University, Hefei,230601, China
[2] National Engineering Laboratory of Energy-Saving Motor & Control Technology, Anhui University, Hefei,230601, China
[3] Engineering Research Center of Power Quality, Ministry of Education, Anhui University, Hefei,230601, China
[4] Anhui Province Laboratory of Industrial Energy-Saving and Safety, Anhui University, Hefei,230601, China
[5] Collaborative Innovation Center of Industrial Energy-Saving and Power Quality Control, Anhui University, Hefei,230601, China
来源：
Dianji yu Kongzhi Xuebao/Electric Machines and Control | 2020年 / 24卷 / 03期
关键词：
Multiobjective optimization - Particle swarm optimization (PSO) - Vehicles;
D O I：
10.15938/j.emc.2020.03.008
中图分类号：
学科分类号：
摘要：
The promotion of front and rear independent drive strategy efficiency is discussed, and two efficiency-optimized of front and rear motor torque distribution strategies are proposed, which concern not only the motor but also the battery's efficiency. Meanwhile, a multi-objective particle swarm optimization was used to make sure both of the above efficiency-optimized strategies work without conflict. The multi-objective particle swarm optimization strategy was verified both in simulation and experiment, and the results show that the proposed strategy can improve electrical vehicle's efficiency and endurance mileage. Also, the vehicle dynamics analysis shows that the proposed strategy will not affect the stability and smoothness of the vehicle. © 2020, Harbin University of Science and Technology Publication. All right reserved.
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收藏
页码：62 / 70
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