scholarly journals Sound Quality Evaluation and Optimization for Interior Noise of Rail Vehicle

2014 ◽  
Vol 6 ◽  
pp. 820875 ◽  
Author(s):  
Kai Hu ◽  
Yansong Wang ◽  
Hui Guo ◽  
Hao Chen
Keyword(s):  
Sound Pressure ◽  
Quality Evaluation ◽  
Element Model ◽  
Sound Quality ◽  
Interior Noise ◽  
Orthogonal Experimental Design ◽  
Finite Model ◽  
Optimization Scheme ◽  
Acoustic Environment ◽  
Rail Vehicle

A procedure for sound filed simulation, sound quality (SQ) evaluation, and optimization of interior noise of a rail vehicle is investigated in this paper. Firstly, some interior noises are measured on site when the subway is running in tunnel at a speed of 60 km/h. The sound pressure levels (SPLs), loudness, sharpness, and roughness of the measured noise are analyzed. A finite element model for acoustical simulation of the carriage is established by using the Actran software. The accuracy and feasibility of the finite model are verified by comparing the psychoacoustical parameters from the simulations and measurements. By using orthogonal experimental design, finally, the best optimization scheme is put forward, which obtained a sound quality improvement with a 4.81 dB decrease in SPL and a 1.07 sone reduction in loudness. The proposed optimization scheme may be extended to other vehicles for improving interior acoustic environment.

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

2021 ◽  
Vol 11 (10) ◽  
pp. 4385
Author(s):  
Kun Qian ◽  
Zhichao Hou ◽  
Jie Liang ◽  
Ruixue Liu ◽  
Dengke Sun
Keyword(s):  
Electric Vehicles ◽  
Sound Quality ◽  
Interior Noise ◽  
Experimental Comparison ◽  
Noise Component ◽  
Acoustic Environment ◽  
Evaluation Indexes ◽  
Transfer Path ◽  
New Ideas ◽  
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 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.

Sound Quality Evaluation of the Interior Noise of Pure Electric Vehicle Based on Neural Network Model

2017 ◽  
Vol 64 (12) ◽  
pp. 9442-9450 ◽  
Author(s):  
Conggan Ma ◽  
Chaoyi Chen ◽  
Qinghe Liu ◽  
Haibo Gao ◽  
Qing Li ◽  
...  
Keyword(s):  
Neural Network ◽  
Electric Vehicle ◽  
Network Model ◽  
Neural Network Model ◽  
Quality Evaluation ◽  
Sound Quality ◽  
Interior Noise

Sound Quality Evaluation Control of Car Interior Noise

2013 ◽  
Vol 415 ◽  
pp. 569-573 ◽  
Author(s):  
Fang Li ◽  
Yan Yan Zuo
Keyword(s):  
Neural Network ◽  
Prediction Model ◽  
Network Model ◽  
Neural Network Model ◽  
Bp Neural Network ◽  
Quality Evaluation ◽  
Subjective Evaluation ◽  
Sound Quality ◽  
Interior Noise ◽  
Bp Neural Network Model

According to the complexity and non-linear characteristics of car interior sound quality evaluation, the technology of BP neural network is used in sound quality evaluation. The interior noise samples from actual cars were obtained by road experiment. The subjective evaluation test of sound quality annoyance was carried out. Meanwhile, several objective psycho-acoustical parameters of these samples were calculated. The sound quality prediction model of vehicle interior noise was established based on BP neural network. Annoyance of samples was obtained by means of the prediction model and the results were compared with that obtained by multiple liner regression prediction model. The results indicate that the prediction results from BP neural network model were close to the measured values. The BP neural network model was more effective than multiple liner regression model, and it can be used effectively to the evaluation of modern car noise.

Sound quality evaluation of high-speed train interior noise by adaptive Moore loudness algorithm

2017 ◽  
Vol 18 (9) ◽  
pp. 690-703 ◽  
Author(s):  
Le Luo ◽  
Xu Zheng ◽  
Zhi-yong Hao ◽  
Wen-qiang Dai ◽  
Wen-ying Yang
Keyword(s):  
High Speed ◽  
Quality Evaluation ◽  
Sound Quality ◽  
Interior Noise ◽  
High Speed Train

A Comparison of Psychoacoustical Evaluation Methods for Vehicle Engine Noises Based on Wavelet Shrinkage Denoising Technique

2011 ◽  
Vol 219-220 ◽  
pp. 93-97 ◽  
Author(s):  
Yan Song Wang ◽  
Yue Yan ◽  
Zhi Qiu ◽  
Jin Zhang
Keyword(s):  
Sound Pressure Level ◽  
Sound Pressure ◽  
Quality Evaluation ◽  
Sound Quality ◽  
Pressure Level ◽  
Signal Denoising ◽  
Subjective Feeling ◽  
Wavelet Shrinkage ◽  
Vehicle Engine ◽  
Shrinkage Method

Based on the measured and denoised vehicle engine noises, the sound quality evaluation (SQE) techniques in common use for A-weighting sound pressure level (SPL) and psychoacoustical parameters, such as loudness, sharpness and roughness, are performed and compared in this paper. The wavelet threshold shrinkage method is adopted for sound signal denoising. The comparisons suggest that the A-weighting SPL is not sufficient and can only be used as a reference in vehicle SQE, the psychoacoustical parameters can provide a complete description and more exactly reflect to the subjective feeling of vehicle noises, should be considered in vehicle designs.

Sound Quality Evaluation of Passenger Vehicle Interior Noise

1993 ◽  
Author(s):  
Hideki Murata ◽  
Hitoshi Tanaka ◽  
Hiroyuki Takada ◽  
Yoshihiro Ohsasa
Keyword(s):  
Quality Evaluation ◽  
Sound Quality ◽  
Interior Noise ◽  
Passenger Vehicle ◽  
Vehicle Interior ◽  
Vehicle Interior Noise
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