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Improvement and application of electromagnetic vibration and noise suppression method for electric vehicle motor

Motor induced Electromagnetic Vibration and Noise (EVN) are mainly affected by Radial Electromagnetic Force Wave (REFW) and related harmonic amplitude. Therefore, in the past discussion on the suppression of motor induced EVN, it usually starts from this aspect. For this reason, this study proposes...

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Detalles Bibliográficos
Autores principales: Lou, Xuehui, Zhang, Shangyue, Chen, Xiaoqiang, Gao, Yun, Ji, Wujun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590938/
https://www.ncbi.nlm.nih.gov/pubmed/37876431
http://dx.doi.org/10.1016/j.heliyon.2023.e20900
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author Lou, Xuehui
Zhang, Shangyue
Chen, Xiaoqiang
Gao, Yun
Ji, Wujun
author_facet Lou, Xuehui
Zhang, Shangyue
Chen, Xiaoqiang
Gao, Yun
Ji, Wujun
author_sort Lou, Xuehui
collection PubMed
description Motor induced Electromagnetic Vibration and Noise (EVN) are mainly affected by Radial Electromagnetic Force Wave (REFW) and related harmonic amplitude. Therefore, in the past discussion on the suppression of motor induced EVN, it usually starts from this aspect. For this reason, this study proposes a method to suppress EVN. Firstly, the influence of the quantity of rotor slots on the function of Induction Motor (IM) is analyzed; Then, the optimization strategy of rotor slot fit is proposed according to the results; Finally, an optimization strategy for the skewness of IM is proposed. Based on the above contents, the experiment realized the suppression of EVN induced by electric vehicle motor. The experimental results show that the parameters of the motor are optimal when the quantity of rotor slots is 53. It is better to weaken the harmonic amplitude related to the low-order REFW. The peak values of the motor using the research strategy at the second and third vibration modes are - 35 db Hz and - 38 db Hz respectively, which are lower than those of the traditional motor. To sum up, the strategies proposed in the study can remarkably suppress the EVN of IM and improve the function of electric vehicles, which will promote the electric vehicle industry ‘s development.
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spelling pubmed-105909382023-10-24 Improvement and application of electromagnetic vibration and noise suppression method for electric vehicle motor Lou, Xuehui Zhang, Shangyue Chen, Xiaoqiang Gao, Yun Ji, Wujun Heliyon Research Article Motor induced Electromagnetic Vibration and Noise (EVN) are mainly affected by Radial Electromagnetic Force Wave (REFW) and related harmonic amplitude. Therefore, in the past discussion on the suppression of motor induced EVN, it usually starts from this aspect. For this reason, this study proposes a method to suppress EVN. Firstly, the influence of the quantity of rotor slots on the function of Induction Motor (IM) is analyzed; Then, the optimization strategy of rotor slot fit is proposed according to the results; Finally, an optimization strategy for the skewness of IM is proposed. Based on the above contents, the experiment realized the suppression of EVN induced by electric vehicle motor. The experimental results show that the parameters of the motor are optimal when the quantity of rotor slots is 53. It is better to weaken the harmonic amplitude related to the low-order REFW. The peak values of the motor using the research strategy at the second and third vibration modes are - 35 db Hz and - 38 db Hz respectively, which are lower than those of the traditional motor. To sum up, the strategies proposed in the study can remarkably suppress the EVN of IM and improve the function of electric vehicles, which will promote the electric vehicle industry ‘s development. Elsevier 2023-10-14 /pmc/articles/PMC10590938/ /pubmed/37876431 http://dx.doi.org/10.1016/j.heliyon.2023.e20900 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Lou, Xuehui
Zhang, Shangyue
Chen, Xiaoqiang
Gao, Yun
Ji, Wujun
Improvement and application of electromagnetic vibration and noise suppression method for electric vehicle motor
title Improvement and application of electromagnetic vibration and noise suppression method for electric vehicle motor
title_full Improvement and application of electromagnetic vibration and noise suppression method for electric vehicle motor
title_fullStr Improvement and application of electromagnetic vibration and noise suppression method for electric vehicle motor
title_full_unstemmed Improvement and application of electromagnetic vibration and noise suppression method for electric vehicle motor
title_short Improvement and application of electromagnetic vibration and noise suppression method for electric vehicle motor
title_sort improvement and application of electromagnetic vibration and noise suppression method for electric vehicle motor
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590938/
https://www.ncbi.nlm.nih.gov/pubmed/37876431
http://dx.doi.org/10.1016/j.heliyon.2023.e20900
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