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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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<?xml version='1.0' encoding='utf-8'?>
<identifier identifierType="DOI">10.5281/zenodo.3631187</identifier>
<creators>
<creator>
<creatorName>Ivar J. Halvorsen</creatorName>
<affiliation>SINTEF Digital</affiliation>
</creator>
<creator>
<creatorName>Ivan Pivac</creatorName>
<affiliation>FESB University of Split</affiliation>
</creator>
<creator>
<creatorName>Dario Bezmalinovic</creatorName>
<affiliation>FESB University of Split</affiliation>
</creator>
<creator>
<creatorName>Frano Barbir</creatorName>
<affiliation>FESB University of Split</affiliation>
</creator>
<creator>
<creatorName>Federico Zenith</creatorName>
<nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-4329-120X</nameIdentifier>
<affiliation>SINTEF Digital</affiliation>
</creator>
</creators>
<titles>
<title>Electrochemical low-frequency impedance spectroscopy algorith for diagnostics of PEM fuel cell degradation</title>
</titles>
<publisher>Zenodo</publisher>
<publicationYear>2020</publicationYear>
<subjects>
<subject>fuel cell diagnostics, impedance spectroscopy</subject>
</subjects>
<dates>
<date dateType="Issued">2020-01-30</date>
</dates>
<resourceType resourceTypeGeneral="Dataset"/>
<alternateIdentifiers>
<alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3631187</alternateIdentifier>
</alternateIdentifiers>
<relatedIdentifiers>
<relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3631186</relatedIdentifier>
</relatedIdentifiers>
<rightsList>
<rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
</rightsList>
<descriptions>
<description descriptionType="Abstract">&lt;p&gt;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.&lt;/p&gt;

&lt;p&gt;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.&lt;/p&gt;

&lt;p&gt;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.&lt;/p&gt;

&lt;p&gt;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.&lt;/p&gt;</description>
<description descriptionType="Other">Data published under ODbL.</description>
</descriptions>
<fundingReferences>
<fundingReference>
<funderName>European Commission</funderName>
<funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
<awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/700101/">700101</awardNumber>
<awardTitle>Giantleap Improves Automation of Non-polluting Transportation with Lifetime Extension of Automotive PEM fuel cells</awardTitle>
</fundingReference>
</fundingReferences>
</resource>

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