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Development of a fuzzy diagnostic model for polymer electrolyte fuel cells

conference contribution
posted on 04.11.2015, 15:23 by Ben Davies, Lisa Jackson, Sarah Dunnett
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.

Funding

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.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

European Safety and Reliability Conference

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.

Publisher

© CRC Press (Taylor & Francis Group)

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2015

Notes

Closed access. Presented at ESREL 2015, 7-10 September, Zurich, Switzerland.

ISBN

978-1-138-02879-1

Language

en

Location

Switzerland

Usage metrics

Loughborough Publications

Keywords

Exports