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A Novel Black and White Box Method for Diagnosis and Reduction of Abnormal Noise of Hub Permanent-Magnet Synchronous Motors for Electric Vehicles

2015; Institute of Electrical and Electronics Engineers; Volume: 63; Issue: 2 Linguagem: Inglês

10.1109/tie.2015.2481361

1557-9948

Conggan Ma, Qinghe Liu, Dafang Wang, Qing Li, Lei Wang,

Induction Heating and Inverter Technology

This paper presents a novel black and white box method for diagnosis and reduction of abnormal noise of the hub permanent-magnet synchronous motors (HPMSMs). The black and white box method is divided into three steps. In the first step, a black-box method is used to identify and diagnose all of the abnormal noise sources and corresponding working conditions including rotational speeds and loading moments of the HPMSM. The proposed black method is independent of the detailed internal parameters of the HPMSM. In the second step, considering the abnormal noise sources and the corresponding working conditions diagnosed by the black-box method, a white-box method is used to propose and verify the electromagnetic field model, the structure vibration model, and the acoustic computation model of the HPMSM. Then, the components of the HPMSM whose vibrations and/or acoustic emissions are the most important are predicted. In the third step, the noise reduction method, which is aimed at the diagnosed abnormal noise source under the corresponding working conditions and the diagnosed components, is proposed. The proposed method in this paper observably raises the efficiency of diagnosis and optimization for abnormal noise of the HPMSM.