Review of intelligent fault diagnosis for permanent magnet synchronous motors in electric vehicles
Permanent magnet synchronous motors are the main power output components of electric vehicles. Once a failure occurs, it will affect the vehicle’s power, stability, and safety. While as a complex field-circuit coupling system composed of machine-electric-magnetic-thermal, the permanent magnet synchr...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2020-07-01
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| Series: | Advances in Mechanical Engineering |
| Online Access: | https://doi.org/10.1177/1687814020944323 |
| _version_ | 1818826064392093696 |
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| author | Xiaowei Xu Xue Qiao Nan Zhang Jingyi Feng Xiaoqing Wang |
| author_facet | Xiaowei Xu Xue Qiao Nan Zhang Jingyi Feng Xiaoqing Wang |
| author_sort | Xiaowei Xu |
| collection | DOAJ |
| description | Permanent magnet synchronous motors are the main power output components of electric vehicles. Once a failure occurs, it will affect the vehicle’s power, stability, and safety. While as a complex field-circuit coupling system composed of machine-electric-magnetic-thermal, the permanent magnet synchronous motor of electric vehicle has various operating conditions and complicated condition environment. There are various forms of failure, and the signs of failure are crossed or overlapped. Randomness, secondary, concurrency, and communication characteristics make it difficult to diagnose faults. Based on the research of a list of related references, this article reviews the methods of intelligent fault diagnosis for electric vehicle permanent magnet synchronous motors. The research status and development trend of fault diagnosis are analyzed. It provides theoretical basis for motor fault diagnosis and health management in multi-variable working conditions and multi-physics environment. |
| first_indexed | 2024-12-19T00:21:43Z |
| format | Article |
| id | doaj.art-88719d81b64142038394153e8ff464ab |
| institution | Directory Open Access Journal |
| issn | 1687-8140 |
| language | English |
| last_indexed | 2024-12-19T00:21:43Z |
| publishDate | 2020-07-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Advances in Mechanical Engineering |
| spelling | doaj.art-88719d81b64142038394153e8ff464ab2022-12-21T20:45:31ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402020-07-011210.1177/1687814020944323Review of intelligent fault diagnosis for permanent magnet synchronous motors in electric vehiclesXiaowei Xu0Xue Qiao1Nan Zhang2Jingyi Feng3Xiaoqing Wang4Wuhan University of Science and Technology, Wuhan, ChinaWuhan University of Science and Technology, Wuhan, ChinaUniversity of Nottingham, Nottingham, UKWuhan University of Science and Technology, Wuhan, ChinaThe University of Alabama, Tuscaloosa, AL, USAPermanent magnet synchronous motors are the main power output components of electric vehicles. Once a failure occurs, it will affect the vehicle’s power, stability, and safety. While as a complex field-circuit coupling system composed of machine-electric-magnetic-thermal, the permanent magnet synchronous motor of electric vehicle has various operating conditions and complicated condition environment. There are various forms of failure, and the signs of failure are crossed or overlapped. Randomness, secondary, concurrency, and communication characteristics make it difficult to diagnose faults. Based on the research of a list of related references, this article reviews the methods of intelligent fault diagnosis for electric vehicle permanent magnet synchronous motors. The research status and development trend of fault diagnosis are analyzed. It provides theoretical basis for motor fault diagnosis and health management in multi-variable working conditions and multi-physics environment.https://doi.org/10.1177/1687814020944323 |
| spellingShingle | Xiaowei Xu Xue Qiao Nan Zhang Jingyi Feng Xiaoqing Wang Review of intelligent fault diagnosis for permanent magnet synchronous motors in electric vehicles Advances in Mechanical Engineering |
| title | Review of intelligent fault diagnosis for permanent magnet synchronous motors in electric vehicles |
| title_full | Review of intelligent fault diagnosis for permanent magnet synchronous motors in electric vehicles |
| title_fullStr | Review of intelligent fault diagnosis for permanent magnet synchronous motors in electric vehicles |
| title_full_unstemmed | Review of intelligent fault diagnosis for permanent magnet synchronous motors in electric vehicles |
| title_short | Review of intelligent fault diagnosis for permanent magnet synchronous motors in electric vehicles |
| title_sort | review of intelligent fault diagnosis for permanent magnet synchronous motors in electric vehicles |
| url | https://doi.org/10.1177/1687814020944323 |
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