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Overview of the Research of Noise of Air Supply System in Fuel Cell Cars

KANG Qiang;ZUO Shu-guang

2012, 32 (1): 1-06. DOI: 10.3969/j.issn.1006-1355-2012.01.001

Abstract （1435）

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The research status of the overall noise of fuel cell cars is introduced. It is indicated that the air supply system is the main noise source of fuel cell cars. Then, the research status of noise of the air supply system and the air compressor is introduced. In addition, the noise spectral characteristic of the air supply system in a fuel cell car is presented. Finally, the research concentration of the noise of air supply systems in fuel cell cars is summarized.

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《Analysis of Sound Quality of Lowfrequency Noise for Fuel Cell Vehicles》

HE Rong;ZUO Shu-guang;SHEN Xiu-min;ZHANG Jiang-fen

2010, 30 (3): 97-99. DOI: 10.3969/j.issn.1006-355.2010.03.026

Abstract （2377）

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The internal and external noises of a fuel cell vehicle (FCV) are collected. Considering that low frequency noise occupies a large amount of energy, the noise signals in the range from 20Hz to 150Hz are extracted through the lowpass filter. Then, based on Zwicker model, the objective evaluation index is calculated. The score of subjective evaluation of the noise sample is given by means of the paired comparison method. Finally, the multiple linear regression model for lowfrequency sound quality analysis is established according to the linear correlation between subjective score and objective index, in order to get more accurate evaluation of sound quality of FCV noise in low frequency range.

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《NonSteadyState Noise Signal Analysis of Fans》

GUO Wei;ZUO Shu-guang;CEHN Rui-feng;HE Rong

2010, 30 (1): 78-81. DOI: 10.3969/j.issn.1006-1355.2010.01.078

Abstract （2435）

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Based on wavelet package transform technology, this paper proposes a method for analyzing the frequency characteristics of nonsteadystate signals in an energyratio and frequencyband coordinate system. Result of this method is compared with that of common frequency spectrum method. The correctness and feasibility of this method is verified. Meanwhile, taking the fan's noise signal of a fuel cell vehicle as an example with a lowfrequency sinusoidal interference signal chosen as the representation of periodic signals, the periodic signals hidden in the nonsteadystate signals are identified. Finally, the fan's noise signals are analyzed. The noise due to low and medium frequency vibration and the noise due to high frequency vibration in the signals are separated. Their information is extracted in timedomain. The measures for further noise reduction are proposed.