Porous Flow Field for Next-Generation Proton Exchange Membrane Fuel Cells: Materials, Characterization, Design, and Challenges

被引:148
作者
Zhang, Guobin [1 ]
Qu, Zhiguo [1 ]
Tao, Wen-Quan [1 ]
Wang, Xueliang [1 ]
Wu, Lizhen [2 ]
Wu, Siyuan [3 ]
Xie, Xu [2 ]
Tongsh, Chasen [2 ]
Huo, Wenming [2 ]
Bao, Zhiming [2 ]
Jiao, Kui [4 ,5 ]
Wang, Yun [6 ]
机构
[1] Xi An Jiao Tong Univ, Sch Energy & Power Engn, MOE Key Lab Thermofluid Sci & Engn, Xian, Peoples R China
[2] State Key Lab Engines, Tianjin 300350, Peoples R China
[3] Univ Calif Davis, Dept Mech & Aerosp Engn, Davis, CA 95616 USA
[4] Tianjin Univ, State Key Lab Engines, Tianjin 300350, Peoples R China
[5] Tianjin Univ, Natl Ind Educ Platform Energy Storage, Tianjin 300350, Peoples R China
[6] Univ Calif Irvine, Dept Mech & Aerosp Engn, Renewable Energy Resources Lab RERL, Irvine, CA 92697 USA
基金
中国国家自然科学基金; 美国国家科学基金会; 中国博士后科学基金;
关键词
GAS-DIFFUSION LAYER; CONTACT RESISTANCE PREDICTION; 3-DIMENSIONAL MULTIPHASE SIMULATION; EFFECTIVE THERMAL-CONDUCTIVITY; CONVECTIVE HEAT-TRANSFER; REDUCED GRAPHENE OXIDE; MODELING 2-PHASE FLOW; METAL BIPOLAR PLATES; PORE CELLULAR FOAM; COLD-START;
D O I
10.1021/acs.chemrev.2c00539
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Porous flow fields distribute fuel and oxygen for the electrochemical reactions of proton exchange membrane (PEM) fuel cells through their pore network instead of conventional flow channels. This type of flow fields has showed great promises in enhancing reactant supply, heat removal, and electrical conduction, reducing the concentration performance loss and improving operational stability for fuel cells. This review presents the research and development progress of porous flow fields with insights for next-generation PEM fuel cells of high power density (e.g., similar to 9.0 kW L-1). Materials, fabrication methods, fundamentals, and fuel cell performance associated with porous flow fields are discussed in depth. Major challenges are described and explained, along with several future directions, including separated gas/liquid flow configurations, integrated porous structure, full morphology modeling, data-driven methods, and artificial intelligence-assisted design/ optimization.
引用
收藏
页码:989 / 1039
页数:51
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