Design and Optimization of Interior Permanent Magnet (IPM) Motor for Electric Vehicle Applications

Lavanya Balasubramanian;Nurul Azim Bhuiyan;Asad Javied;Ashraf A. Fahmy;Fawzi Belblidia;Johann Sienz
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引用次数: 1

Abstract

This paper explores some design parameters of an interior permanent magnet synchronous motor that contribute to enhancing motor performance. Various geometry parameters such as magnet dimension, machine diameter, stator teeth height, and number of poles are analyzed to compare overall torque, power, and torque ripples in order to select the best design parameters and their ranges. Pyleecan, an open-source software, is used to design and optimize the motor for electric vehicle applications. Following optimization with Non-dominated Sorting Genetic Algorithm (NSGA-II), two designs A and B were obtained for two objective functions and the corresponding torque ripples values of the design A and B were later reduced by 32% and 77%. Additionally, the impact of different magnet grades on the output performances is analyzed.
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电动汽车用内部永磁电机的设计与优化
本文探讨了内装永磁同步电动机的一些设计参数,这些参数有助于提高电动机的性能。分析了各种几何参数,如磁体尺寸、机器直径、定子齿高和极数,以比较整体扭矩、功率和扭矩波纹,从而选择最佳设计参数及其范围。Pyleecan是一款开源软件,用于设计和优化电动汽车应用的电机。采用非支配排序遗传算法(NSGA-II)进行优化,得到了两个目标函数的两个设计A和B,设计A和设计B的相应转矩脉动值分别降低了32%和77%。此外,还分析了不同磁体等级对输出性能的影响。
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