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Electrochemical low-frequency impedance spectroscopy algorith for diagnostics of PEM fuel cell degradation

Ivar J. Halvorsen; Ivan Pivac; Dario Bezmalinovic; Frano Barbir; Federico Zenith


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{
  "description": "<p>In order to estimate fuel-cell degradation status on-line and inexpensively, a diagnostic technique based on relay feedback is developed. The technique can obtain critical parameters within seconds of start-up and is robust to measurement bias.</p>\n\n<p>Electrochemical impedance spectroscopy (EIS) is a popular laboratory technique to perform diagnostics on electrochemical systems such as fuel cells, but its application to real-life fuel-cell systems is difficult because of the size and cost of the apparatus. In this study, we present a more detailed equivalent-circuit model for a PEM fuel cell, able to explain the positive reactance shown at low frequencies.</p>\n\n<p>Some of these characteristics, measured at several stages during an Accelerated Stress Test (AST), progress gradually with catalyst degradation, providing an effective prognostic variable. In order to measure these characteristics, a relay-based feedback excitation algorithm is developed to estimate the low-frequency intercept in the Nyquist plane of the cell impedance without resorting to a full-fledged EIS.</p>\n\n<p>The simulations indicate that the algorithm converges to an estimate within about 5 seconds, and is robust to bias. The algorithm can be run within the standard control system that fuel cells are usually equipped with, with no additional hardware.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "SINTEF Digital", 
      "@type": "Person", 
      "name": "Ivar J. Halvorsen"
    }, 
    {
      "affiliation": "FESB University of Split", 
      "@type": "Person", 
      "name": "Ivan Pivac"
    }, 
    {
      "affiliation": "FESB University of Split", 
      "@type": "Person", 
      "name": "Dario Bezmalinovic"
    }, 
    {
      "affiliation": "FESB University of Split", 
      "@type": "Person", 
      "name": "Frano Barbir"
    }, 
    {
      "affiliation": "SINTEF Digital", 
      "@id": "https://orcid.org/0000-0003-4329-120X", 
      "@type": "Person", 
      "name": "Federico Zenith"
    }
  ], 
  "url": "https://zenodo.org/record/3631187", 
  "datePublished": "2020-01-30", 
  "keywords": [
    "fuel cell diagnostics, impedance spectroscopy"
  ], 
  "@context": "https://schema.org/", 
  "distribution": [
    {
      "contentUrl": "https://zenodo.org/api/files/31be3b60-7d87-45d5-a926-9acb4585c4d8/poor_mans_eis_data_publishable.csv", 
      "encodingFormat": "csv", 
      "@type": "DataDownload"
    }
  ], 
  "identifier": "https://doi.org/10.5281/zenodo.3631187", 
  "@id": "https://doi.org/10.5281/zenodo.3631187", 
  "@type": "Dataset", 
  "name": "Electrochemical low-frequency impedance spectroscopy algorith for diagnostics of PEM fuel cell degradation"
}
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