Determination of optimal parameters for dual-layer cathode of polymer electrolyte fuel cell using computational intelligence-aided design

Yi Chen, Weina Huang, Bei Peng

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Abstract

Because of the demands for sustainable and renewable energy, fuel cells have become increasingly popular, particularly the polymer electrolyte fuel cell (PEFC). Among the various components, the cathode plays a key role in the operation of a PEFC. In this study, a quantitative dual-layer cathode model was proposed for determining the optimal parameters that minimize the over-potential difference η and improve the efficiency using a newly developed bat swarm algorithm with a variable population embedded in the computational intelligence-aided design. The simulation results were in agreement with previously reported results, suggesting that the proposed technique has potential applications for automating and optimizing the design of PEFCs.

Original languageEnglish
Pages (from-to)e114223
JournalPLoS ONE
Volume9
Issue number12
DOIs
Publication statusPublished - 9 Dec 2014

Keywords

  • cathode
  • renewable energy
  • sustainable energy
  • electrolyte fuel cell

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