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Abstract <p>Efficient operation and improved reliability of proton exchange membrane fuel cells (PEMFCs) require new means for the operational assessment of their technical condition without significantly disrupting their operating mode. At present, impedance spectroscopy is one of the most informative operational methods for studying PEMFCs. Wavelet analysis and broadband probing signals can significantly reduce the analysis time and thus improve the efficiency of diagnostic decision-making. However, a significant loss of accuracy in assessing high-frequency impedance components has been identified. This loss of accuracy is due to the significant contribution of high-frequency spectral components with a low signal-to-noise ratio, reaching 4 dB. We propose a threshold signal processing technique based on wavelet transform, which allows the accuracy of estimated frequency response of impedance to be increased up to 0.3<InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\%\)</EquationSource> <!--OptelIns2570053Denisov-m1--> </InlineEquation> in the frequency range of 0.1–400 Hz without increasing the signal-to-noise ratio. The proposed means for high-precision impedance characterization on the basis of wavelet analysis of broadband signals can be used both in research laboratories and in real power plants based on PEMFCs.</p>

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Improving the Accuracy of Measured Impedance of Electrochemical Current Sources Using Wavelet Analysis

  • 期刊论文

  • 发表日期：

    2025年8月1日

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  • E. S. Denisov,
  • Yu. K. Evdokimov,
  • O. V. Shindor,
  • K. V. Kon’kov

摘要

Abstract

Efficient operation and improved reliability of proton exchange membrane fuel cells (PEMFCs) require new means for the operational assessment of their technical condition without significantly disrupting their operating mode. At present, impedance spectroscopy is one of the most informative operational methods for studying PEMFCs. Wavelet analysis and broadband probing signals can significantly reduce the analysis time and thus improve the efficiency of diagnostic decision-making. However, a significant loss of accuracy in assessing high-frequency impedance components has been identified. This loss of accuracy is due to the significant contribution of high-frequency spectral components with a low signal-to-noise ratio, reaching 4 dB. We propose a threshold signal processing technique based on wavelet transform, which allows the accuracy of estimated frequency response of impedance to be increased up to 0.3 \(\%\) in the frequency range of 0.1–400 Hz without increasing the signal-to-noise ratio. The proposed means for high-precision impedance characterization on the basis of wavelet analysis of broadband signals can be used both in research laboratories and in real power plants based on PEMFCs.