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 is proposed. Outperforming traditional methods, the proposed method can noninvasively diagnose not only the severities of static eccentricity (SE), dynamic eccentricity (DE), and mixed eccentricity (ME), but also the eccentricity location. In this article, diagnosis results are described through three eccentricity parameters: SE ratio, DE ratio, and SE angle. First, 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 noninvasiveness, effectiveness, and viability of the proposed method.
Original language | English |
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Pages (from-to) | 1983-1992 |
Number of pages | 10 |
Journal | IEEE Transactions on Industrial Electronics |
Volume | 70 |
Issue number | 2 |
Early online date | 12 Apr 2022 |
DOIs | |
Publication status | Published - 1 Feb 2023 |
Bibliographical note
This work was supported in part by National Natural Science Foundation of China under Grant 51975141 and Grant 51605112, in part by Natural Science Foundation of Shandong Province under Grant ZR2015EQ020, in part by the 2018 Open Fund of State Key Laboratory of Comprehensive Technology on Automobile Vibration and Noise & Safety Control under Grant 2018-03, and in part by the Science and Technology Development Fund, Macau (Grant no. 0018/2019/AKP,Keywords
- Air-gap eccentricity
- fault diagnosis
- neural networks
- permanent magnet motors
- stray magnetic field
ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering