Kayoung Park, Ruijing Gao, Magnus So, Tae Hyoung Noh, Naoki Kimura, Yoshifumi Tsuge, Gen Inoue
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引用次数: 0
摘要
了解聚合物电解质燃料电池(PEFC)阴极催化剂层(CCL)中促进质子传导和氧向Pt粒子转移的离聚体分布特性,是优化设计高性能阴极催化剂层(CCL)的关键。本文对Ketjen black (KB)多孔碳的模型结构进行了数值模拟。在验证模型后,研究了离聚体/碳重量比(I/C)与离聚体覆盖率之间的关系。并将模拟KB的相对质子电导率与无孔碳Vulcan XC-72 (VB)的参考数据进行比较。在相同的I/C比条件下,随碳载体的不同,离聚体覆盖率有显著差异。此外,在相同碳体积比条件下,模拟KB的相对质子电导率低于模拟VB,因为模拟KB的离聚体体积比低于模拟VB。随碳载体的不同,离聚体含量与性质之间的关系也不同。我们的研究结果有助于设计最佳的催化剂层。
Evaluation of ionomer distribution on porous carbon aggregates in catalyst layers of polymer electrolyte fuel cells
Understanding ionomer distribution properties that facilitate proton conduction and oxygen transfer to Pt particles in the cathode catalyst layer (CCL) of the polymer electrolyte fuel cell (PEFC) is essential for optimized design of CCL with high cell performance. In this study, the model structure of Ketjen black (KB) as porous carbon was numerically simulated. After validating the model, the relationship between the weight ratio of ionomer/carbon (I/C) and ionomer coverage was investigated. Moreover, relative proton conductivity of simulated KB was compared with the reference data of Vulcan XC-72 (VB) as non-porous carbon. Under the same I/C ratio conditions, ionomer coverage significantly differed depending on the carbon support. Moreover, under the same carbon volume ratio conditions, simulated KB exhibited lower relative proton conductivity than VB because simulated KB had the lower ionomer volume ratio than that of simulated VB. The relationship between ionomer content and ionomer properties differ depending on the carbon support. The results of our study can contribute to designing an optimal catalyst layer.