Numerical analysis on influence of surface structures of cathode catalyst layers on performance of polymer electrolyte fuel cells

IF 4.1 Q2 ELECTROCHEMISTRY Electrochemical science advances Pub Date : 2022-04-27 DOI:10.1002/elsa.202200003
Kayoung Park, Yuting Wei, Magnus So, Tae Hyoung Noh, Naoki Kimura, Yoshifumi Tsuge, Gen Inoue
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Abstract

Because it is time-consuming to optimize the design of a cathode catalyst layer (CCL), a numerical simulation to predict the reaction and mass transport characteristics without trial and error is desirable. This study used numerical analysis to investigate how the mass transport occurring in CCLs with flat and three-dimensional (3D) structures influenced the performance. The simulations included the reconstruction of the CCLs and their electrochemical calculation using our multi-block model. The simulation results showed the reduction of the proton resistance in the ionomer was a factor in improving the performance in the 3D structure in comparison with the flat structure. An increasing aspect ratio of the 3D structure improved the cell performance and decreased the proton resistance in the ionomer. These results were due to the shortened conductive path of the protons from the polymer electrolyte membrane to the gas diffusion layer side surface in the 3D structure. Finally, the cell performance with an increase in the ionomer content was predicted. This numerical analysis made it possible to understand the reaction of the 3D structure and mass transport and predict ways to optimize the structural design to improve cell performance.

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阴极催化剂层表面结构对聚合物电解质燃料电池性能影响的数值分析
由于优化阴极催化剂层(CCL)的设计是耗时的,因此需要在没有试错的情况下进行数值模拟来预测反应和传质特性。本研究使用数值分析来研究具有平面和三维(3D)结构的CCL中发生的质量传输如何影响性能。模拟包括CCL的重建和使用我们的多块模型进行的电化学计算。模拟结果表明,与平面结构相比,离聚物中质子电阻的降低是提高3D结构性能的一个因素。3D结构的长宽比的增加提高了离聚物中的电池性能并降低了质子电阻。这些结果是由于在3D结构中质子从聚合物电解质膜到气体扩散层侧表面的导电路径缩短。最后,预测了离聚物含量增加时的电池性能。这种数值分析使我们能够理解3D结构和质量传输的反应,并预测优化结构设计以提高电池性能的方法。
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