An Effective Computational Approach to the Parametric Study of the Cathode Catalyst Layer of PEM Fuel Cells
An Effective Computational Approach to the Parametric Study of the Cathode Catalyst Layer of PEM Fuel Cells
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DOI：
10.2320/matertrans.m2011101
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发表时间：
2011-10
影响因子：
1.2
通讯作者：
S. Ahadian;N. Khajeh-Hosseini-Dalasm;K. Fushinobu;K. Okazaki;Y. Kawazoe
中科院分区：
文献类型：
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作者：
S. Ahadian;N. Khajeh-Hosseini-Dalasm;K. Fushinobu;K. Okazaki;Y. Kawazoe
我们提出了一个集成建模、预测和分析框架，用于 PEM 燃料电池阴极催化剂层 (CCL) 的参数研究。对 CCL 的宏观均质薄膜模型进行了参数研究。然后使用人工神经网络 (ANN) 来建模和预测各种结构参数对 CCL 激活过电势的影响。人工神经网络方法的应用对于处理这个问题的复杂性来说是一种资产，可以大大节省计算时间和成本，并消除不需要的计算错误。所提出的计算方法表明，铂质量负载的增加会导致活化过电势降低，或者等效地提高 CCL 性能。增加碳质量负载、CCL中气体扩散层（GDL）体积分数和CCL厚度的主要影响是活化过电势上升。 GDL 孔隙率对 CCL 性能几乎没有影响，而 CCL 性能与 CCL 中的膜体积分数呈二次方关系。为了量化这些影响以及这些参数的综合影响，进行了进一步的研究。 [doi:10.2320/matertrans.M2011101]
We propose an integrated modeling, prediction, and analysis framework for the parametric study of the cathode catalyst layer (CCL) of PEM fuel cells. A parametric study is performed on a macro-homogeneous film model of the CCL. An artificial neural network (ANN) is then used in order to model and predict the effect of various structural parameters on the activation overpotential of the CCL. The application of the ANN approach is an asset to deal with the complexity of this problem and leads to considerably save the computational time and cost and to remove undesired computational errors. The proposed computational approach shows that an increase in the platinum mass loading causes a decrease in the activation overpotential or equivalently an increase in the CCL performance. The main effects of increasing the carbon mass loading, gas diffusion layer (GDL) volume fraction in the CCL, and CCL thickness are that the activation overpotential is going up. GDL porosity has almost no effect on the CCL performance while the CCL performance has a quadratic behavior with respect to the membrane volume fraction in the CCL. Further investigation is done in order to quantify these effects as well as the combined effects of these parameters. [doi:10.2320/matertrans.M2011101]