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

Kun Qian,Jie Liang,Dengke Sun,Ruixue Liu,Zhichao Hou

doi:10.3390/app11104385

Kun Qian, Jie Liang + Show 3 more

Open Access

https://doi.org/10.3390/app11104385

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Abstract

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.

Highlights

The following section analyzes the contribution of each transfer path, so that the noise sources and transfer path that have a greater impact on the interior sound quality (SQ) of the pure electric vehicles (PEVs) can be found
Even when the mesh density does not meet these requirements, airborne source quantification (ASQ) is more accurate than traditional measurements of the airborne noise transfer function
As the noise transfer functions of the electric drive system were determined by ASQ, they did not require reference points, but a unidirectional acceleration sensor was placed at the center of each noise source point in the electric drive system

Summary

Introduction

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. The hybrid TPA method developed in [9,10] predicts the interior noise caused by the structure-borne path of a powertrain This technique is useful for design modification of the powertrain and tuning of the target noise in the early stages of vehicle development. Albers et al [18] measured and analyzed the transfer path of acoustic phenomena in the driver cabin of a battery electric vehicle using TPA, and Qian et al [19] accurately predicted the interior electromagnetic noise of an EV by combining TPA with motor electromagnetic vibration simulations. This paper predicts the interior SQ of a PEV using TPA and TPS methods and demonstrates each noise component contribution in a PEV by a new SQ separation technology.

PEV Transfer Path Analysis

PEV Transfer Path Synthesis

Psychoacoustic Parameters of SQ

Transfer Function Measurements

Airborne Noise Transfer Function Measurements

Structure-Borne Noise Transfer Function Measurements

Noise Source Excitation Measurements

Airborne Noise Source Excitation Measurements

Structure-Borne Noise Source Excitation Measurements

Interior Sound Quality Synthesis

Discussions

Conclusions