EFC19152.pdf (215.44 kB)
Diagnosis of electrocatalyst degradation in polymer electrolyte fuel cells under automotive conditions
conference contribution
posted on 2020-02-19, 09:36 authored by Derek Low, Lisa JacksonLisa Jackson, Sarah DunnettSarah DunnettThis paper presents a fuzzy inference system approach for diagnosis of electrocatalyst degradation in polymer electrolyte fuel cells (PEFC’s) under automotive conditions. The fuzzy inference system enables diagnosis of electrocatalyst degradation based on fuel cell operating conditions. The method incorporates classification of selected input parameters on a scale of membership to fuzzy sets or categories and provides connection to any consequential degradation through a database of diagnostic rules. Experimental procedures involved drive cycle durability testing including the world harmonized light-duty vehicle test procedure (WLTP) and start/stop cycling. The observed results support the validation of the proposed membership functions within the fuzzy inference system and the database of diagnostic rules. This approach can provide a fast and effective diagnosis of electrocatalyst degradation in PEFC’s and enable proactive decision support for planning operation and maintenance strategies for improved fuel cell reliability, availability and durability.
Funding
(EPSRC) Fuel cells and their fuels - Clean Power for the 21st Century - Student: Derek Low : EP/L015749/1
History
School
- Aeronautical, Automotive, Chemical and Materials Engineering
Department
- Aeronautical and Automotive Engineering
Published in
Proceedings of the 8th European Fuel Cell Piero Lunghi Conference (EFC2019)Pages
245 -246Source
8th European Fuel Cell Technology & Applications Piero Lunghi Conference (EFC19)Publisher
ENEAVersion
- AM (Accepted Manuscript)
Publication date
2019-12-09Copyright date
2019ISBN
9788882863869Publisher version
Language
- en
Editor(s)
Viviana CigolottiLocation
Naples, ItalyEvent dates
9th December 2019 - 11th December 2019Depositor
Dr Sarah Dunnett. Deposit date: 14 February 2020Article number
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