Determination of Optimal Parameters for Dual-Layer Cathode of Polymer Electrolyte Fuel Cell Using Computational Intelligence-Aided Design

被引:3
|
作者
Chen, Yi [1 ,2 ,3 ]
Huang, Weina [1 ,2 ]
Peng, Bei [1 ,2 ]
机构
[1] Univ Elect Sci & Technol China, Sch Mech Engn, Chengdu 611731, Peoples R China
[2] Univ Elect Sci & Technol China, Robot Res Ctr, Chengdu 611731, Peoples R China
[3] Glasgow Caledonian Univ, Sch Engn & Built Environm, Glasgow G4 0BA, Lanark, Scotland
来源
PLOS ONE | 2014年 / 9卷 / 12期
基金
中国国家自然科学基金;
关键词
SERPENTINE FLOW-FIELD; SENSITIVITY EXAMINATION; MODEL; OPTIMIZATION; SIMULATION; PERFORMANCE; VALIDATION; TRANSPORT;
D O I
10.1371/journal.pone.0114223
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 g 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.
引用
收藏
页数:21
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