一种快速的基于物理的PEM燃料电池阻抗矩阵模型：包含功能梯度催化层和通道阻抗
A fast physics-based matrix model for the impedance of a PEM fuel cell: Incorporating functionally graded catalyst layer and channel impedances
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中文总结 AI 辅助
该研究扩展了基于物理的矩阵模型，用于快速计算PEM燃料电池阻抗，支持功能梯度催化层，速度比传统求解器快近千倍，且精度高，可替代等效电路模型拟合EIS数据。
中文摘要 AI 辅助
我们将近期提出的用于计算PEM燃料电池阻抗的基于物理的矩阵模型（doi: https://doi.org/10.1149/2754-2734/ad6ce8）扩展到低空气流量化学计量比和功能梯度阴极催化层（CCL）的情形。我们证明该矩阵模型能够生成准确的频谱，并且比基于标准边值问题求解器的模型快近三个数量级。该基于物理的矩阵模型在拟合实验EIS频谱方面可与等效电路模型竞争，特别是对于从具有功能梯度CCL的电池测量的频谱。
英文摘要
We extend a recent physics-based matrix model for calculating PEM fuel cell impedance (doi:10.1149/2754-2734/ad6ce8) to cases of low air flow stoichiometry and functionally graded cathode catalyst layers (CCLs). We demonstrate that the matrix model produces accurate spectra and is almost three orders of magnitude faster than a model based on the standard boundary-value problem solver. The physics-based matrix model can compete with equivalent circuit models for fitting experimental EIS spectra, particularly those measured from cells with functionally graded CCL.
发表机构
- Forschungszentrum Jülich GmbH（于利希研究中心）
- Institute of Energy and Climate Research（能源与气候研究所）
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