A Novel Sound Quality Evaluation Method of the Diagnosis of Abnormal Noise in Interior Permanent-Magnet Synchronous Motors for Electric Vehicles

A novel sound quality (SQ) evaluation method is developed to diagnose abnormal noise of interior permanent-magnet synchronous motors (IPMSM) for electric vehicle (EV). A-weighted sound pressure level (A-W SPL) of noise in IPMSM and six psychoacoustic characteristics, which include sharpness, roughne...

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Bibliographic Details
Published inIEEE transactions on industrial electronics (1982) Vol. 64; no. 5; pp. 3883 - 3891
Main Authors Ma, Conggan, Li, Qing, Deng, Liwei, Chen, Chaoyi, Liu, Qinghe, Gao, Haibo
Format Journal Article
LanguageEnglish
Published New York IEEE 01.05.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Artificial intelligence
Back propagation networks
Diagnosis
electric vehicle (EV)
Electric vehicles
Fluctuations
Indexes
Loudness
Noise
Permanent magnet motors
Permanent magnets
permanent-magnet synchronous motors (PMSMs)
Phase change materials
Psychoacoustics
Quality assessment
Sharpness
Sound pressure
sound quality (SQ)
Synchronous motors
Torque
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Summary:A novel sound quality (SQ) evaluation method is developed to diagnose abnormal noise of interior permanent-magnet synchronous motors (IPMSM) for electric vehicle (EV). A-weighted sound pressure level (A-W SPL) of noise in IPMSM and six psychoacoustic characteristics, which include sharpness, roughness, loudness, articulation index, tonality, and fluctuation strength, are described through the objective evaluation of SQ. The paired comparison method (PCM) and the grade evaluation method (GEM) are respectively applied in subjective evaluation on relative annoyance and absolute annoyance of IPMSM for EV, and the combined application of these two methods is proposed originally. Finally, the BP neural network model for SQ evaluation of abnormal noise in IPMSM is established, the characteristics, conditions, and influencing factors of abnormal noise are effectively diagnosed. This novel evaluation method effectively solves the problem that the annoyance level is unable to be evaluated through the PCM, and the GEM relies on rich audition experience of evaluation subject. It also improves the accuracy of diagnosis of abnormal noise in IPMSM for EV.
ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2017.2652718