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.

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.

Research on Bus Interior Sound Quality Based on Masking Effects

2018 ◽  
Vol 17 (04) ◽  
pp. 1850037 ◽  
Author(s):  
J. Yuan ◽  
X. Cao ◽  
D. Wang ◽  
J. Chen ◽  
S. Wang
Keyword(s):  
Evaluation Model ◽  
Subjective Evaluation ◽  
Sound Quality ◽  
Interior Noise ◽  
Masking Effect ◽  
Fuzzy Mathematics ◽  
Evaluation Indexes

Masking effect is a very common psychoacoustic phenomenon, which occurs when there is a suitable sound that masks the original sound. In this paper, we will discuss bus interior sound quality based on the masking effects and the appropriate masking sound selection to mask the original sounds inside a bus. We developed three subjective evaluation indexes which are noisiness, acceptability and anxiety. These were selected to reflect passengers’ feelings more accurately when they are subject to the masking sound. To analyze the bus interior sound quality with various masking sounds, the subjective–objective synthesis evaluation model was constructed using fuzzy mathematics. According to the study, the appropriate masking sound can mask the bus interior noise and optimize the bus interior sound quality.

scholarly journals An investigation into high-speed train interior noise with operational transfer path analysis method

2021 ◽  
Author(s):  
Muxiao Li ◽  
Ziwei Zhu ◽  
Tiesong Deng ◽  
Xiaozhen Sheng
Keyword(s):  
Sound Source ◽  
Reference Point ◽  
Source Identification ◽  
High Speed ◽  
Interior Noise ◽  
Target Point ◽  
High Speed Train ◽  
Transfer Path ◽  
Sound Source Identification ◽  
Transfer Path Analysis

AbstractPassengers' demands for riding comfort have been getting higher and higher as the high-speed railway develops. Scientific methods to analyze the interior noise of the high-speed train are needed and the operational transfer path analysis (OTPA) method provides a theoretical basis and guidance for the noise control of the train and overcomes the shortcomings of the traditional method, which has high test efficiency and can be carried out during the working state of the targeted machine. The OTPA model is established from the aspects of "path reference point-target point" and "sound source reference point-target point". As for the mechanism of the noise transmission path, an assumption is made that the direct sound propagation is ignored, and the symmetric sound source and the symmetric path are merged. Using the operational test data and the OTPA method, combined with the results of spherical array sound source identification, the path contribution and sound source contribution of the interior noise are analyzed, respectively, from aspects of the total value and spectrum. The results show that the OTPA conforms to the calculation results of the spherical array sound source identification. At low speed, the contribution of the floor path and the contribution of the bogie sources are dominant. When the speed is greater than 300 km/h, the contribution of the roof path is dominant. Moreover, for the carriage with a pantograph, the lifted pantograph is an obvious source. The noise from the exterior sources of the train transfer into the interior mainly through the form of structural excitation, and the contribution of air excitation is non-significant. Certain analyses of train parts provide guides for the interior noise control.

Perceptual Difference on HVAC Sound Quality between Electric and Conventional Vehicles

2021 ◽  
Vol 263 (2) ◽  
pp. 4189-4198
Author(s):  
Katsuya Yamauchi ◽  
Minori Dan ◽  
Federico Cioffi ◽  
Luigi Maffei ◽  
Massimiliano Masullo
Keyword(s):  
Electric Vehicles ◽  
Background Noise ◽  
Collaborative Research ◽  
Combustion Engine ◽  
Subjective Evaluation ◽  
Sound Quality ◽  
Hvac System ◽  
Air Flow Rate ◽  
Vehicle Noise ◽  
The Difference

The heating, ventilation and air-conditioning (HVAC) system is one of the most critical sources in in-vehicle noise environment, especially when cars are moving at low speed or at lower engine rotation. With the transition to electric vehicles (EV) from internal combustion engine vehicles (ICEV), the contribution of powertrain becomes lower on the background noise inside car cabins. The authors have been conducting a collaborative research on HVAC sound quality inside car cabins. In this paper the results of a subjective evaluation of HVAC sound quality were presented, that attempted to compare the perceptual differences among the two groups, i.e. EVs and ICEVs. The result revealed the difference in the noise perception among the two types of vehicles especially softer air flow rate conditions.

scholarly journals Subjective Experience of Speech Depending on the Acoustic Treatment in an Ordinary Room

2021 ◽  
Vol 18 (23) ◽  
pp. 12274
Author(s):  
Emma Arvidsson ◽  
Erling Nilsson ◽  
Delphine Bard-Hagberg ◽  
Ola J. I. Karlsson
Keyword(s):  
Speech Perception ◽  
Subjective Experience ◽  
Sound Quality ◽  
Reverberation Time ◽  
Acoustic Environment ◽  
Acoustic Environments ◽  
The Right ◽  
Acoustic Treatment ◽  
High Degree ◽  
Speech Clarity

In environments such as classrooms and offices, complex tasks are performed. A satisfactory acoustic environment is critical for the performance of such tasks. To ensure a good acoustic environment, the right acoustic treatment must be used. The relation between different room acoustic treatments and how they affect speech perception in these types of rooms is not yet fully understood. In this study, speech perception was evaluated for three different configurations using absorbers and diffusers. Twenty-nine participants reported on their subjective experience of speech in respect of different configurations in different positions in a room. They judged sound quality and attributes related to speech perception. In addition, the jury members ranked the different acoustic environments. The subjective experience was related to the different room acoustic treatments and the room acoustic parameters of speech clarity, reverberation time and sound strength. It was found that people, on average, rated treatments with a high degree of absorption as best. This configuration had the highest speech clarity value and lowest values for reverberation time and sound strength. The perceived sound quality could be correlated to speech clarity, while attributes related to speech perception had the strongest association with reverberation time.

Analysis and Optimization of Interior Noise Based on Transfer Path Analysis

2021 ◽  
pp. 542-551
Author(s):  
Wenqiang Liu ◽  
Junfeng Hu ◽  
Fengxin Jiang ◽  
Bing Gong ◽  
Xiaolong Deng ◽  
...  
Keyword(s):  
Path Analysis ◽  
Interior Noise ◽  
Transfer Path ◽  
Transfer Path Analysis
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