车用永磁同步电机的电磁噪声优化研究  

Research on the NVH Optimization of Vehicle IPM Motor

作　　者：陈致初 史俊旭 周洋 胡勇峰 杨斌 CHEN Zhichu;SHI Junxu;ZHOU Yang;HU Yongfeng;YANG Bin(Zhuzhou CRRC Times Electric Co.,Ltd.,Zhuzhou Hunan 412005,China;Yiduo Information Technology(Shanghai)Co.,Ld.,Shanghai 201108,China)

机构地区：[1]株洲中车时代电气股份有限公司,湖南株洲412001 [2]懿朵信息科技(上海)有限公司,上海201108

出　　处：《微电机》2023年第10期77-82,共6页Micromotors

基　　金：湖南省科技创新领军人才计划(2021RC4050)。

摘　　要：随着新能源汽车的普及,新能源电驱总成噪声问题越来越受到关注。新能源电驱总成噪声问题主要由电机本体、控制器、减速器引起。由于电机本体电磁力激励引起的噪声是主要来源,本文针对车用永磁同步电机的电磁噪声进行分析优化,通过遗传算法进行多目标寻优,降低电机本体电磁力所带来的噪声。经过计算,该优化方法可以显著降低目标电磁力,降低车用永磁同步电机的电磁噪声。With the widespread adoption of new energy vehicles,the electromagnetic noise issue in Electric Vehicle(EV)powertrain has gained significant attention.The noise problem of electric powertrain primarily originates from the electric motor,controller,and gearbox.Among these,noise induced by electromagnetic forces in the electric motor is the major contributor.This paper focused on the analysis and optimization of electromagnetic noise from permanent magnet synchronous motors(PMSMs)in EVs.Proposed a multi-objective genetic algorithm to achieve noise reduction by optimizing the electromagnetic forces generated within the motor.The results demonstrate that this optimization method significantly reduced the targeted electromagnetic forces,consequently mitigating the electromagnetic noise in automotive PMSMs.

关 键 词：车用电机 电磁噪声 遗传算法 多目标寻优 

分 类 号：TM351[电气工程—电机] TM341TM301.43