Electromagnetic noise analysis and optimization for permanent magnet synchronous motor used on electric vehicles

定子 噪音(视频) 电磁场 磁铁 电磁噪声 计算机科学 同步电动机 声学 电动机 电磁学 物理 工程类 电气工程 电子工程 人工智能 图像(数学) 量子力学
作者
Y.S. Wang,Hui Guo,Tao Yuan,Lianjie Ma,Changcheng Wang
出处
期刊:Engineering Computations [Emerald Publishing Limited]
卷期号:38 (2): 699-719 被引量:6
标识
DOI:10.1108/ec-02-2020-0070
摘要

Purpose Electromagnetic noise of permanent magnet synchronous motor (PMSM) seriously affects the sound quality of electric vehicles (EVs). This paper aims to present a comprehensive process for the electromagnetic noise analysis and optimization of a water-cooled PMSM. Design/methodology/approach First, the noises of an eight-pole 48-slot PMSM in at speeds up to 10,000 rpm are measured. Furthermore, an electromagnetic-structural-acoustic model of the PMSM is established for multi-field coupling simulations of electromagnetic noises. Finally, the electromagnetic noise of the PMSM is optimized by using the multi-objective genetic algorithm, where a multi-objective function related to the slot width of PMSM stator is defined for radial electromagnetic force (REF) optimization. Findings The experimental results show that main electromagnetic noises are the 8n-order ( n = 1, 2, 3, …) and 12-order noises. The simulated results show that the REFs are mainly generated by the 8n-order ( n = 1, 2, 3, 4, 5, 6) vibrations, especially those of the 8th, 16th, 24th and 32th orders. The 12-order noise is a mechanical noise, which might be caused by the bearings and other structures of the PMSM. Comparing the simulated results before and after optimization, both the REFs and electromagnetic noises are effectively reduced, which suggests that an appropriate design of stator slot is important for reducing electromagnetic noise of the PMSM. Originality/value In view of applications, the methods proposed in this paper can be applied to other types of PMSM for generation mechanism analysis of electromagnetic noise, optimal design of PMSM and thereby noise improvement of EVs.

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