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作 者:SUN Wen WANG JunNian WANG QingNian ASSADIAN Francis FU Bo
机构地区:[1]State Key Laboratory of Automotive Simulation and Control,Jilin University,Changchun 130022,China [2]Department of Mechanical and Aerospace Engineering,University of California,Davis,CA 9561,USA
出 处:《Science China(Technological Sciences)》2018年第2期257-272,共16页中国科学(技术科学英文版)
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)
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 investigated.Firstly, 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.
关 键 词:electric vehicle (EV) independent drive cornering resistance torque vectoring energy saving optimization
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