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

机译:诊断电动汽车内装永磁同步电动机异常噪声的一种新的音质评估方法

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摘要

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.
机译:开发了一种新颖的声音质量(SQ)评估方法,以诊断电动汽车(EV)的内部永磁同步电动机(IPMSM)的异常噪声。通过SQ的客观评估,描述了IPMSM中噪声的A加权声压级(A-W SPL)和六个心理声学特性,包括清晰度,粗糙度,响度,清晰度指数,音调和波动强度。配对比较法(PCM)和等级评价法(GEM)分别应用于主观评价EVMS的IPMSM的相对烦恼和绝对烦恼,并提出了这两种方法的结合应用。最后,建立了用于IPMSM异常噪声SQ评估的BP神经网络模型,有效诊断了异常噪声的特征,条件和影响因素。这种新颖的评估方法有效地解决了烦恼程度无法通过PCM进行评估的问题,GEM依赖于​​丰富的评估对象试听经验。它还提高了用于电动汽车的IPMSM中异常噪声的诊断准确性。

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