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Development of a fuzzy diagnostic model for polymer electrolyte fuel cells
conference contribution
posted on 2015-11-04, 15:23 authored by Ben Davies, Lisa JacksonLisa Jackson, Sarah DunnettSarah DunnettPolymer 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 ConferenceCitation
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
2015Notes
Closed access. Presented at ESREL 2015, 7-10 September, Zurich, Switzerland.ISBN
978-1-138-02879-1Publisher version
Language
- en