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Research on Online Diagnosis Method of Fuel Cell Centrifugal Air Compressor Surge Fault

Author

Listed:
  • Su Zhou

    (School of Automotive Studies, Tongji University, Cao An 4800, Shanghai 201804, China)

  • Jie Jin

    (School of Automotive Studies, Tongji University, Cao An 4800, Shanghai 201804, China)

  • Yuehua Wei

    (School of Automotive Studies, Tongji University, Cao An 4800, Shanghai 201804, China)

Abstract

Stable operation of fuel cell air compressions is constrained by rotating surge in low flowrate conditions. In this paper, a diagnosis criterion based on wavelet transform to solve the surge fault is proposed. First of all, the Fourier transform was used to analyze the spectral characteristics of the outlet flowrate. Before wavelet transform was used, the data are standardized. This step eliminated the influence of the flowrate’s absolute value. Then, the wavelet coefficients under characteristic frequencies were extracted. Finally, the diagnosis criterion’s threshold, which indicates the surge occurrence, was defined from the perspective of safety margin. The criterion threshold alerted a surge only 1 s after it occurred. The analysis results show that the criterion meets with the expectation, and it can be used for the control of anti-surge valve.

Suggested Citation

  • Su Zhou & Jie Jin & Yuehua Wei, 2021. "Research on Online Diagnosis Method of Fuel Cell Centrifugal Air Compressor Surge Fault," Energies, MDPI, vol. 14(11), pages 1-15, May.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:11:p:3071-:d:561809
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    References listed on IDEAS

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    1. Priya, K. & Sathishkumar, K. & Rajasekar, N., 2018. "A comprehensive review on parameter estimation techniques for Proton Exchange Membrane fuel cell modelling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 121-144.
    2. Wee, Jung-Ho, 2007. "Applications of proton exchange membrane fuel cell systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(8), pages 1720-1738, October.
    3. Nistor, Silviu & Dave, Saraansh & Fan, Zhong & Sooriyabandara, Mahesh, 2016. "Technical and economic analysis of hydrogen refuelling," Applied Energy, Elsevier, vol. 167(C), pages 211-220.
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    Cited by:

    1. Weiwei Huo & Weier Li & Chao Sun & Qiang Ren & Guoqing Gong, 2022. "Research on Fuel Cell Fault Diagnosis Based on Genetic Algorithm Optimization of Support Vector Machine," Energies, MDPI, vol. 15(6), pages 1-15, March.

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