title: Determination of optimal parameters for dual-layer cathode of polymer electrolyte fuel cell using computational intelligence-aided design.
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.
authors.affiliation: School 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.
authors.forename: Yi
authors.initials: Y
authors.lastname: Chen
authors.affiliation: School 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.
authors.forename: Weina
authors.initials: W
authors.lastname: Huang
authors.affiliation: School 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.
authors.forename: Bei
authors.initials: B
authors.lastname: Peng
mesh_terms: D001185:Artificial Intelligence; D017076:Computer-Aided Design; D011211:Electric Power Supplies; D004566:Electrodes; D004573:Electrolytes / Q000737:chemistry*; D008956:Models, Chemical; D011108:Polymers / Q000737:chemistry*
chemical_list: D004573:Electrolytes; D011108:Polymers