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Open-Circuit Radial Stray Magnetic Flux Density Based Non-invasive Diagnosis for Mixed Eccentricity Parameters of Interior Permanent Magnet Synchronous Motors in Electric Vehicles
Conggan Ma1; Jiaming Li2; Nic Zhang3; Feifei Bu4; Zhixin Yang2
2022-04-12
Source PublicationIEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
ISSN0278-0046
Volume70Issue:2Pages:1983-1992
Abstract

By measuring the open-circuit radial stray magnetic flux density (RSMFD) of three spatial points, a novel diagnostic method for the eccentricity of interior permanent magnetic motors (IPMSMs) in electric vehicles (EVs) is proposed. Outperforming traditional methods, the proposed method can non-invasively diagnose not only the severities of static eccentricity (SE), dynamic eccentricity (DE), and mixed eccentricity (ME), but also the eccentricity location. In this paper, diagnosis results are described through three eccentricity parameters: SE ratio, DE ratio, and SE angle. Firstly, an analytical model of the open-circuit RSMFD of the IPMSM is proposed, with its accuracy validated by experiments. The pattern of the impact of the eccentricity parameters on the open-circuit RSMFD is analyzed to form the basis of the proposed method. Then, an eccentricity prototype motor, which can continuously emulate the eccentricity according to any listed eccentricity parameters, is developed. A test rig is built to collect the open-circuit RSMFD and validate the analytical calculation results. Finally, an eccentricity diagnostic model based on the open-circuit RSMFD is established. The diagnosis results proved the non-invasiveness, effectiveness, and viability of the proposed method.

KeywordAir-gap Eccentricity Fault Diagnosis Neural Networks Permanent Magnet Motors Stray Magnetic Field
DOI10.1109/TIE.2022.3165250
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaAutomation & Control Systems ; Engineering ; Instruments & Instrumentation
WOS SubjectAutomation & Control Systems ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS IDWOS:000865104500087
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141
Scopus ID2-s2.0-85128670168
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionTHE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Faculty of Science and Technology
DEPARTMENT OF ELECTROMECHANICAL ENGINEERING
Corresponding AuthorJiaming Li
Affiliation1.Harbin Institute of Technology-Weihai, Weihai 264209, China
2.State Key Laboratory of Internet of Things for Smart City, Department of Electromechanical Engineering, University of Macau, Macau SAR 999078, China
3.University of Bath, BA11NT Bath, U.K.
4.Nanjing University of Aeronautics and Astronautics, Nanjing 210000, China
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Conggan Ma,Jiaming Li,Nic Zhang,et al. Open-Circuit Radial Stray Magnetic Flux Density Based Non-invasive Diagnosis for Mixed Eccentricity Parameters of Interior Permanent Magnet Synchronous Motors in Electric Vehicles[J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 70(2), 1983-1992.
APA Conggan Ma., Jiaming Li., Nic Zhang., Feifei Bu., & Zhixin Yang (2022). Open-Circuit Radial Stray Magnetic Flux Density Based Non-invasive Diagnosis for Mixed Eccentricity Parameters of Interior Permanent Magnet Synchronous Motors in Electric Vehicles. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 70(2), 1983-1992.
MLA Conggan Ma,et al."Open-Circuit Radial Stray Magnetic Flux Density Based Non-invasive Diagnosis for Mixed Eccentricity Parameters of Interior Permanent Magnet Synchronous Motors in Electric Vehicles".IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 70.2(2022):1983-1992.
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