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电动车用永磁同步电机定子铁心固有频率研究
引用本文:骆开军,林曦鹏,陈海生,梁志松,张少朋.电动车用永磁同步电机定子铁心固有频率研究[J].汽车技术,2021(1).
作者姓名:骆开军  林曦鹏  陈海生  梁志松  张少朋
作者单位:国家能源大规模物理储能技术(毕节)研发中心;中国科学院工程热物理研究所
基金项目:国家地方联合工程研究中心(发改办高技[2019]180号);贵州省科技平台及人才团队计划项目(黔科合平台人才[2017]5308);毕节市科技支撑计划项目(毕科合字[2017]15号);贵州省科研机构创新能力建设专项资金(黔科合服企[2019]4011);贵州省基础研究项目(黔科合基础[2019]1284号)。
摘    要:为了准确预测永磁同步电机定子的固有频率,对某8极36槽永磁同步电机定子铁心进行等效和假设处理,建立其模态分析有限元模型,将定子铁心、绕组按等质量法解析,计算定子铁心的固有频率,并分析了其谐响应,发现在568.84 Hz频率下定子振动位移最大,当电机激振力频率与其接近时,电机噪声显著增大,电机空载噪声频谱分析试验结果表明,该模型具有较高的准确性。基于该模型研究了定子轭不同材料属性、定子齿宽、轭厚和定子铁心轴向长度对固有频率变化的影响。

关 键 词:定子铁心  固有频率  有限元法  频谱分析

Research on Natural Frequency of Stator Core of Permanent Magnet Synchronous Motor for Electric Vehicle
Luo Kaijun,Lin Xipeng,Chen Haisheng,Liang Zhisong,Zhang Shaopeng.Research on Natural Frequency of Stator Core of Permanent Magnet Synchronous Motor for Electric Vehicle[J].Automobile Technology,2021(1).
Authors:Luo Kaijun  Lin Xipeng  Chen Haisheng  Liang Zhisong  Zhang Shaopeng
Institution:(National Energy Large Scale Physical Energy Storage Technologies R&D Center(Bijie),Bijie 551700;Institute of Engineering Thermophysics,Chinese Academy of Sciences,Beijing 100190)
Abstract:In order to accurately predict the natural frequency of the stator of a permanent magnet synchronous motor,the stator core of an 8-pole 36 slot permanent magnet synchronous motor is treated as equivalent and hypothetical,and its finite element model of modal analysis is established.The stator core and winding are analyzed according to the equal mass method,and the natural frequency of the stator core is calculated,and its harmonic response is analyzed.It is found that the stator vibration displacement is the largest at the frequency of 568.84 Hz.When the frequency of excitation force is close to it,the motor noise increases significantly.The test results of no-load noise spectrum analysis show that the model has high accuracy.Based on the model,the effects of different material properties of stator yoke,tooth width,yoke thickness and axial length of stator core on natural frequency variation are studied.
Keywords:Stator core  Natural frequency  Finite element method  Spectrum analysis
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