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Volume 31Issue 2
Apr. 2022
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Article Navigation> JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY> 2022> 31(2): 208-223
Tao Huang, Zhi’en Liu, Binyu Zhang, Jinyan Bi, Lipin Xie. Objective Quantification of Small Motor Sound Quality Based on Psychoacoustic Metrics[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2022, 31(2): 208-223. doi: 10.15918/j.jbit1004-0579.2022.043
Citation: Tao Huang, Zhi’en Liu, Binyu Zhang, Jinyan Bi, Lipin Xie. Objective Quantification of Small Motor Sound Quality Based on Psychoacoustic Metrics[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2022, 31(2): 208-223.doi:10.15918/j.jbit1004-0579.2022.043
shu

Objective Quantification of Small Motor Sound Quality Based on Psychoacoustic Metrics

doi:10.15918/j.jbit1004-0579.2022.043
  • 1.

    Automotive Engineering Institute, Guangzhou Automobile Group (GAC), Guangzhou 511434, China

  • 2.

    Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070, China

Funds:This work was supported by the National Natural Science Foundation of China (No. 5217051173).
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  • Author Bio:

    Tao Huangreceived the M.S. degree in the College of Automotive Engineering from Wuhan University of Technology, Wuhan, Hubei, China, in 2019. Since 2019, he has been involved in research in the areas of sound quality and signal processing

    Zhi’en Liureceived the Ph.D. degree from Huazhong University of Science and Technology，Wuhan, China, in 2007. He has been involved in the research of vibration and sound control, sound design for the automobile

    Binyu Zhangreceived the M.S. degree in the College of Automotive from Tongji University, Shanghai, China, in 2012. He has been involved in the research of automotive wind noise control, sound quality

    Jinyan Bireceived the M.S. degree in the College of Mechanical and Automotive Engineering from South China University of Technology, Guangzhou, China, in 2008. He has been involved in the research of vehicle NVH and sound quality

    Lipin Xiereceived the B.S. degree from Hainan University, Hainan, China in 2017. She is currently pursuing the Ph.D. degree in Wuhan University of Technology. Her current research interests include the active sound control and design of electric vehicle

  • Corresponding author:Lzen@whut.edu.cn
  • Received Date:2022-03-22
  • Rev Recd Date:2022-03-30
  • Accepted Date:2022-04-06
  • Publish Date:2022-04-26
    Abstract
  • With the widespread application of electrification and intelligence of automobiles, the number of electric devices with small DC motors in automobiles has gradually increased, and the interior of electric vehicles is quieter. The sound quality (SQ) of small motor directly affects the passenger experience. Therefore, the research on the SQ of small motor is of great significance. In this paper, the objective quantification of small motor sound quality was investigated based on traditional psychoacoustic metrics. The time-frequency characteristics of sound signal was analyzed to quantify the subjective perception caused by the sound of small motor. And a new psychoacoustic metrics of objective evaluation which were suitable for small motor SQ evaluation were proposed, namely specific loudness energy (SLE), specific prominence ratio index (SPRI), relative pitch exceedance (RPE) and tremolo index (TI). Then, two objective evaluation models of small motor SQ were established to characterize the multi-dimensional subjective perception attributes by using multiple linear regression (MLR) and support vector regression (SVR) respectively, which can be used for the prediction and evaluation of the small motor SQ. The results show that the prediction accuracy of the model established by SVR method was higher than that of MLR, and SVR has stronger robustness. The objective evaluation model of small motors SQ established in this study is of great importance for improving the sound quality of small motors.
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