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Modeling and Optimizing Method for Axial Flux Induction Motor of Electric Vehicles
IEEE Transactions on Vehicular Technology ( IF 6.8 ) Pub Date : 2020-11-01 , DOI: 10.1109/tvt.2020.3030280
Jie Mei , Yuefei Zuo , Christopher H. T. Lee , James L. Kirtley

Axial flux induction motors have attracted attention in electric vehicles due to their advantages over conventional motors, including higher efficiency, compact structure, high utilization of materials, and good ventilation and cooling. This paper provides a fast design method for two-stator-one-rotor axial flux induction motor of electric vehicle applications. The proposed method consisting of an accurate motor analytical model and a design variables optimization method based on genetic algorithm. Unlike traditional design of axial flux induction motor with single objective, multi-objective is considered in this work. Based on the proposed method, the performance of axial flux induction motor can be simulated and optimized in much shorter time compared with finite element analysis in ANSYS Maxwell. The comparison results from ANSYS Maxwell can prove the effectiveness and accuracy of the proposed method, and the performance of the final designed motor can meet all the design requirements.

中文翻译:

电动汽车轴向磁通感应电机建模及优化方法

轴向磁通感应电机由于具有比传统电机更高的效率、结构紧凑、材料利用率高以及良好的通风和冷却等优点,在电动汽车中引起了人们的关注。本文为电动汽车应用的两定子单转子轴向磁通感应电机提供了一种快速设计方法。所提出的方法由精确的电机分析模型和基于遗传算法的设计变量优化方法组成。与传统的单目标轴向磁通感应电机设计不同,这项工作考虑了多目标。基于所提出的方法,与 ANSYS Maxwell 中的有限元分析相比,可以在更短的时间内对轴向磁通感应电机的性能进行仿真和优化。
更新日期:2020-11-01
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