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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/19282

Title: Development of a fuzzy diagnostic model for polymer electrolyte fuel cells
Authors: Davies, Benjamin
Jackson, Lisa M.
Dunnett, Sarah J.
Issue Date: 2015
Publisher: © CRC Press (Taylor & Francis Group)
Citation: DAVIES, B., JACKSON, L.M. and DUNNETT, S.J., 2015. Development of a fuzzy diagnostic model for polymer electrolyte fuel cells. IN: Podofillini, L. ... et al. (eds.) Safety and Reliability of Complex Engineered Systems ESREL 2015. London: Taylor & Francis Group, pp. 2373–2378.
Abstract: Polymer Electrolyte Fuel Cells (PEFCs) offer a number of advantages over traditional power generation systems, including high efficiency, high power density, and no local carbon-emissions. However, even the best demonstrator projects suffer in lifetime durability; only surviving up to half the current US Department of Energy (2006) targets. Prognostics and Health Management (PHM) has been identified as a methodology that could be applied to PEFCs to enhance and extend functional lifetime. PHM techniques would be applied through the control systems for the fuel cell; monitoring and managing the operational parameters, and measuring state of health. The approach selected in this investigation is to call upon expert knowledge and understanding of the PEFC functionality; this produces a rule-based fuzzy-logic model. This paper introduces a diagnosticorientated fuzzy-inference model of a PEFC. This combines with existing fuel cell control and monitoring processes, to diagnose a range of commonly documented failure modes.
Description: Closed access. Presented at ESREL 2015, 7-10 September, Zurich, Switzerland.
Sponsor: This research project is funded by the Engineering and Physical Sciences Research Council (EP/G037116/6) and supported by the Doctoral Training Centre for Hydrogen, Fuel Cells and their Applications.
Version: Accepted for publication
DOI: 10.1201/b19094-311
URI: https://dspace.lboro.ac.uk/2134/19282
Publisher Link: http://dx.doi.org/10.1201/b19094-311
ISBN: 978-1-138-02879-1
Appears in Collections:Closed Access (Aeronautical and Automotive Engineering)

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