4.6 Article

Interior Sound Quality Prediction of Pure Electric Vehicles Based on Transfer Path Synthesis

期刊

APPLIED SCIENCES-BASEL
卷 11, 期 10, 页码 -

出版社

MDPI
DOI: 10.3390/app11104385

关键词

pure electric vehicles; noise; sound quality; transfer path synthesis

资金

  1. China Postdoctoral Science Foundation [2019M650657]

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This paper proposes the use of objective psychoacoustic parameters as evaluation indexes for interior PEV noise, and designs a virtual interior SQ synthesis model based on Transfer path analysis (TPA) and transfer path synthesis (TPS). By combining experimentation and simulation, each noise component contribution in a PEV is demonstrated through new SQ separation technology. The accuracy of the prediction model is verified through simulation and experimental comparison studies, providing effective reference and new ideas for the development of interior SQ in PEVs.
The interior sound quality (SQ) of pure electric vehicles (PEVs) has become an important consideration for users purchasing vehicles. At present, it is insufficient to take the sound pressure level as the interior acoustics design index of PEVs. Transfer path analysis (TPA) and transfer path synthesis (TPS) that take the SQ of interior noise as the improvement target remains in the preliminary exploration stage. In this paper, objective psychoacoustic parameters of SQ were taken as evaluation indexes of interior PEV noise. A virtual interior SQ synthesis model was designed on the basis of TPA and TPS, which combines experimentation and simulation. The SQ synthesis model demonstrates each noise component contribution in a PEV by new SQ separation technology. First, the interior noise transfer path and noise source of the PEV were determined in a synthesis analysis method of the interior PEV noise. Second, on the basis of the composition mechanism of interior noise and the basic principle of TPA, the excitation signal and transfer function of each interior noise path in the PEV were tested. On the basis of TPS, the interior SQ synthesis model of PEV was then established. Finally, the accuracy of the prediction model was verified in simulation and experimental comparison studies on the psychoacoustic objective parameters of SQ. The SQ objective parameter value of each transfer path was quantified by using contribution analysis. The results are expected to improve the comfort of the interior acoustic environment and enhance the competitiveness of vehicle products. They also provide an effective reference and new ideas for the development of interior SQ in PEVs.

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