Simulation investigation of tractive energy conservation for a cornering rear-wheel-independent-drive electric vehicle through torque vectoring

作     者：SUN Wen WANG JunNian WANG QingNian ASSADIAN Francis FU Bo 

作者机构：State Key Laboratory of Automotive Simulation and ControlJilin UniversityChangchun 130022China Department of Mechanical and Aerospace EngineeringUniversity of CaliforniaDavisCA 9561USA 

出 版 物：《Science China(Technological Sciences)》 (中国科学（技术科学英文版）)

年 卷 期：2018年第61卷第2期

页      面：257-272页

核心收录：

学科分类：08[工学] 0807[工学-动力工程及工程热物理] 

基　　金：supported by the National Natural Science Foundation of China(Grant No.51205153) the Natural Science Foundation of Jilin Province(Grant No.20140101072JC) the 2018"13th Five-Year"Scientific Research Planning Project of the Education Department of Jilin Province as well as the 2018 Science and Technology Development Plan of Jilin Province-International Science and Technology Cooperation Project(Grant No.20180414011GH) 

主　　题：electric vehicle (EV) independent drive cornering resistance torque vectoring energy saving optimization 

摘      要：Although electric vehicle fully exhibits its comparative merits of energy conservation and environmental friendliness, further improvement of its traction energy efficiency lacks comprehensive investigations in the past. In this paper, the effect of the torque vectoring on traction energy conservation during cornering for a rear-wheel-independent-drive electric vehicle is ***, turning resistance coefficient and energy conservation mechanism of torque vectoring are derived from the single track dynamic model. Next, an optimal torque vectoring control strategy based on genetic algorithm is proposed, with the consideration of the influence of the operation-point change of the in-wheel motors, to find out the best torque vectoring ratio offline. Finally,various simulation tests are conducted to validate the energy conservation effect after Simulink modelling. The results verify that though the optimization of the operating region of the motors is the main part for tractive energy conservation, the contribution of torque vectoring itself can reach up to 1.7% in some typical cases.