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Determination of optimal parameters for dual-layer cathode of polymer electrolyte fuel cell using computational
Yi Chen1, Weina Huang2, Bei Peng2
1School of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China; Robotic Research Center, University of Electronic Science and Technology of China, Chengdu, 611731, China; School of Engineering and Built Environment, Glasgow Caledonian University, Glasgow, G4 0BA, United Kingdom.
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.
