Interior Sound Quality Prediction of Pure Electric Vehicles Based on Transfer Path Synthesis
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 synthes...
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MDPI AG
2021-05-01
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Online Access: | https://www.mdpi.com/2076-3417/11/10/4385 |
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author | Kun Qian Zhichao Hou Jie Liang Ruixue Liu Dengke Sun |
author_facet | Kun Qian Zhichao Hou Jie Liang Ruixue Liu Dengke Sun |
author_sort | Kun Qian |
collection | DOAJ |
description | 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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issn | 2076-3417 |
language | English |
last_indexed | 2024-03-10T11:29:37Z |
publishDate | 2021-05-01 |
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spelling | doaj.art-55c8002c21444de6b32414b4e5907eef2023-11-21T19:22:11ZengMDPI AGApplied Sciences2076-34172021-05-011110438510.3390/app11104385Interior Sound Quality Prediction of Pure Electric Vehicles Based on Transfer Path SynthesisKun Qian0Zhichao Hou1Jie Liang2Ruixue Liu3Dengke Sun4State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, ChinaState Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, ChinaState Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, ChinaState Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, ChinaSchool of Mechanical Electronic and Information Engineering, China University of Mining and Technology-Beijing, Beijing 100083, ChinaThe 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.https://www.mdpi.com/2076-3417/11/10/4385pure electric vehiclesnoisesound qualitytransfer path synthesis |
spellingShingle | Kun Qian Zhichao Hou Jie Liang Ruixue Liu Dengke Sun Interior Sound Quality Prediction of Pure Electric Vehicles Based on Transfer Path Synthesis Applied Sciences pure electric vehicles noise sound quality transfer path synthesis |
title | Interior Sound Quality Prediction of Pure Electric Vehicles Based on Transfer Path Synthesis |
title_full | Interior Sound Quality Prediction of Pure Electric Vehicles Based on Transfer Path Synthesis |
title_fullStr | Interior Sound Quality Prediction of Pure Electric Vehicles Based on Transfer Path Synthesis |
title_full_unstemmed | Interior Sound Quality Prediction of Pure Electric Vehicles Based on Transfer Path Synthesis |
title_short | Interior Sound Quality Prediction of Pure Electric Vehicles Based on Transfer Path Synthesis |
title_sort | interior sound quality prediction of pure electric vehicles based on transfer path synthesis |
topic | pure electric vehicles noise sound quality transfer path synthesis |
url | https://www.mdpi.com/2076-3417/11/10/4385 |
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