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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Main Authors: Kun Qian, Zhichao Hou, Jie Liang, Ruixue Liu, Dengke Sun
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/10/4385
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spelling doaj-55c8002c21444de6b32414b4e5907eef2021-05-31T23:49:03ZengMDPI AGApplied Sciences2076-34172021-05-01114385438510.3390/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
collection DOAJ
language English
format Article
sources DOAJ
author Kun Qian
Zhichao Hou
Jie Liang
Ruixue Liu
Dengke Sun
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
author_facet Kun Qian
Zhichao Hou
Jie Liang
Ruixue Liu
Dengke Sun
author_sort Kun Qian
title 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_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_sort interior sound quality prediction of pure electric vehicles based on transfer path synthesis
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2021-05-01
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.
topic pure electric vehicles
noise
sound quality
transfer path synthesis
url https://www.mdpi.com/2076-3417/11/10/4385
work_keys_str_mv AT kunqian interiorsoundqualitypredictionofpureelectricvehiclesbasedontransferpathsynthesis
AT zhichaohou interiorsoundqualitypredictionofpureelectricvehiclesbasedontransferpathsynthesis
AT jieliang interiorsoundqualitypredictionofpureelectricvehiclesbasedontransferpathsynthesis
AT ruixueliu interiorsoundqualitypredictionofpureelectricvehiclesbasedontransferpathsynthesis
AT dengkesun interiorsoundqualitypredictionofpureelectricvehiclesbasedontransferpathsynthesis
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