叶遥立, 毛正松, 倪俪文, 李嫣然, 周东凯, 陈涛. 燃料电池系统噪声源变分模态分解及偏相干分析识别研究[J]. 太阳能学报, 2024, 45(9): 20-27. DOI: 10.19912/j.0254-0096.tynxb.2023-0709
引用本文: 叶遥立, 毛正松, 倪俪文, 李嫣然, 周东凯, 陈涛. 燃料电池系统噪声源变分模态分解及偏相干分析识别研究[J]. 太阳能学报, 2024, 45(9): 20-27. DOI: 10.19912/j.0254-0096.tynxb.2023-0709
Ye Yaoli, Mao Zhengsong, Ni Liwen, Li Yanran, Zhou Dongkai, Chen Tao. VARIATIONAL MODE COMPOSITION AND PARTIAL COHERENCE ANALYSIS FOR FUEL CELL SYSTEM NOISE SOURCE[J]. Acta Energiae Solaris Sinica, 2024, 45(9): 20-27. DOI: 10.19912/j.0254-0096.tynxb.2023-0709
Citation: Ye Yaoli, Mao Zhengsong, Ni Liwen, Li Yanran, Zhou Dongkai, Chen Tao. VARIATIONAL MODE COMPOSITION AND PARTIAL COHERENCE ANALYSIS FOR FUEL CELL SYSTEM NOISE SOURCE[J]. Acta Energiae Solaris Sinica, 2024, 45(9): 20-27. DOI: 10.19912/j.0254-0096.tynxb.2023-0709

燃料电池系统噪声源变分模态分解及偏相干分析识别研究

VARIATIONAL MODE COMPOSITION AND PARTIAL COHERENCE ANALYSIS FOR FUEL CELL SYSTEM NOISE SOURCE

  • 摘要: 综合运用预处理、变分模态分析、偏相干分析等手段,对一款燃料电池系统不同运行工况下进行噪声测试及综合分析。结合不同工况下燃料电池系统零部件的工作特性,识别不同工况下主要噪声源零件及其贡献。在低负载工况下,主要噪声源零件是氢气循环泵、水泵,其特征频率分别为200、1280 Hz,贡献量分别为0.42、0.77;在高负载工况下,主要噪声源零件是空压机,其特征频率为8920 Hz,贡献量为0.24。该文分析得到不同工况燃料电池系统的噪声特性,并提出适合非消声室测试噪声数据的分析方法。

     

    Abstract: A signal processing approach combining pre-processing,variational mode analysis,and partial coherence analysis is employed to analyze acoustic noise measurement data in a fuel cell system under different operating conditions.Coupling with the analysis of components behaviors in the fuel cell system,the main noise sources,characteristic frequencies and their contributions are identified at each working condition.Under low-load power output condition,the dominant noise source is the hydrogen recirculation pump and water pump with characteristic frequencies of 200 and 1280 Hz,and contributions of 0.42 and 0.77,respectively.Under highload power output condition,the main noise source switches to the air compressor with characteristic frequency of 8920 Hz and contribution of 0.24.The fuel cell system noise characteristics is obtained in this study under different working conditions.The analysis method proposed in this study can be used for evaluating noise characteristic of fuel cell systems tested in non-anechoic chamber.

     

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