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Analytical modeling framework for performance degradation of PEM fuel cells during startup-shutdown cycles

机译：分析型燃料电池在启动关机周期期间的分析模拟框架

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摘要

Startup-shutdown cycling is one of the main factors that contribute to fuel cell deterioration related to high cathode potential. In this study, a coupled model with the carbon corrosion model and agglomerate model of the cathode catalyst layer is built to predict performance degradation during startup-shutdown cycles. The carbon corrosion model calculates the carbon loading loss through the rate equations and material balance expressions of seven reactions, while the agglomerate model describes the catalyst layer performance according to the computed structural parameters. A set of operational and structural parametric studies are used to investigate their effects on initial performance and voltage degradation rate. The maximum voltage of the cyclic load is found to have a greater influence over the voltage degradation rate compared with relative humidity, pressure, and minimum voltage of the cyclic load. Among the structural parameters, the carbon loading and platinum loading have the greatest and least impact on voltage degradation rate, respectively, while ionomer fraction has a complex and nonmonotonic effect. An optimal design strategy is provided with a case demonstration. Results may provide a fundamental and important tool for degradation prediction in startup-shutdown conditions and guidance for catalyst layer design and operation.
机译：启动关机循环是有助于燃料电池劣化与高阴极电位相关的主要因素之一。在该研究中，建立了具有碳腐蚀模型和阴极催化剂层的附聚模型的耦合模型，以预测启动停机周期期间的性能劣化。碳腐蚀模型通过速率方程和7个反应的速率方程和物质平衡表达来计算碳负载损失，而聚集模型根据计算的结构参数描述了催化剂层性能。一系列操作和结构参数研究用于研究它们对初始性能和电压劣化率的影响。发现循环负载的最大电压与循环负载的相对湿度，压力和最小电压相比，对电压劣化速率具有更大的影响。在结构参数中，碳载荷和铂负载分别对电压降解速率分别具有最大，最小影响，而离聚物级分具有复杂和非单调效应。提供了一个最佳的设计策略，提供了案例演示。结果可以为催化剂层设计和操作的启动关闭条件和指导提供劣化预测的基本和重要的工具。

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  • 来源
    《RSC Advances》 |2020年第4期|共11页
  • 作者

    Li Yunqi; Chen Xiran; Liu Yuwei; Xiong Danping; Li Jing; Yin Sha; Chen Liang; Li Congxin; Xu Jun;

  • 作者单位

    Beihang Univ Sch Transportat Sci &

    Engn Dept Automot Engn Beijing 100191 Peoples R China;

    Beihang Univ Sch Transportat Sci &

    Engn Dept Automot Engn Beijing 100191 Peoples R China;

    Beihang Univ Sch Transportat Sci &

    Engn Dept Automot Engn Beijing 100191 Peoples R China;

    Beihang Univ Sch Transportat Sci &

    Engn Dept Automot Engn Beijing 100191 Peoples R China;

    Beihang Univ Sch Transportat Sci &

    Engn Dept Automot Engn Beijing 100191 Peoples R China;

    Beihang Univ Sch Transportat Sci &

    Engn Dept Automot Engn Beijing 100191 Peoples R China;

    Beijing New Energy Vehicle Technol Innovat Ctr Co Beijing 100176 Peoples R China;

    Beijing New Energy Vehicle Technol Innovat Ctr Co Beijing 100176 Peoples R China;

    Univ N Carolina Dept Mech Engn &

    Engn Sci Charlotte NC 28223 USA;

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  • 正文语种 eng
  • 中图分类 化学;
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