文章基本信息

标题：Parameters optimization of two-speed powertrain of electric vehicle based on genetic algorithm
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作者：Yuhang Li ; Bo Zhu ; Nong Zhang 等
期刊名称：Advances in Mechanical Engineering
印刷版ISSN：1687-8140
电子版ISSN：1687-8140
出版年度：2020
卷号：12
期号：1
页码：1-16
DOI：10.1177/1687814020901652
出版社：Sage Publications Ltd.
摘要：Aiming at the shortcomings of only optimizing the gear ratios of two-speed transmission in the optimization process of two-speed powertrain parameters of electric vehicles, the optimization of two-speed powertrain parameters of electric vehicles based on genetic algorithm is proposed. The optimization process is to optimize the main performance parameters of the drive motor and the gear ratios of two-speed transmission. That is, taking the economy and dynamic of the electric vehicle as the fitness function, the gear ratios of two-speed transmission is optimized under the main performance parameters of different drive motors, so as to find the powertrain parameter with the best fitness function value. Among them, the AMESim software is used to build the vehicle optimization model, the genetic algorithm is improved by MATLAB, and the improved genetic algorithm is used to optimize the vehicle optimization model. The results show that the optimization of the vehicle’s economic and dynamic performance has been improved, indicating that this optimization method is effective.
关键词：Electric vehicle; powertrain optimization; dynamic performance; economical performance; genetic algorithm; two-speed; transmission
其他关键词：Electric vehicle ; powertrain optimization ; dynamic performance ; economical performance ; genetic algorithm ; two-speed transmission