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Sound Quality Evaluation of Noise of Hub Permanent-Magnet Synchronous Motors for Electric Vehicles

机译:电动汽车轮毂永磁同步电动机噪声的音质评估

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摘要

The existing evaluation methods and indexes of noise of electric motors cannot comprehensively reflect all the physical characteristics of noise of hub permanent-magnet synchronous motors (HPMSM) and human subjective sensations. In this paper, a method of the sound quality (SQ) evaluation of HPMSM for electric vehicles is proposed. The method is divided into three steps. In the first step, a noise objective evaluation of HPMSM with seven acoustical objective indexes, including loudness, roughness, A-weighted sound pressure level (A-W SPL), tonality, sharpness, articulation index (AI), and fluctuation strength, is made. In the second step, a noise subjective evaluation of HPMSM by using the grade evaluation method is made. The subjective annoyances (SA) of noise samples of HPMSM are obtained. In the last step, the SQ evaluation model of HPMSM by using the BP neural network theory is established. The average error rate of the proposed model is only 3.97%. By means of weight analysis, a comparison between the relative importance of acoustical objective parameters is found out. The main original contribution of this paper is that the proposed method can comprehensively reflect all the physical sound characteristics of HPMSM as well as their influence on human subjective sensations.
机译:现有的电动机噪声评估方法和指标不能全面反映轮毂永磁同步电动机(HPMSM)噪声的所有物理特性和人类的主观感觉。本文提出了一种用于电动汽车的HPMSM的声音质量(SQ)评估方法。该方法分为三个步骤。第一步,对HPMSM的噪声客观评估,包括响度,粗糙度,A加权声压级(A-W SPL),音调,清晰度,清晰度指数(AI)和波动强度等七个声学客观指标。在第二步中,使用等级评估方法对HPMSM进行噪声主观评估。获得HPMSM噪声样本的主观烦恼(SA)。最后,运用BP神经网络理论建立了HPMSM的SQ评估模型。该模型的平均错误率仅为3.97%。通过权重分析,发现了声学目标参数的相对重要性之间的比较。本文的主要原始贡献在于,所提出的方法能够全面反映HPMSM的所有物理声音特征及其对人类主观感觉的影响。

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