The optimal operation of fuel cells in changing environmental and variable load conditions requires mathematical modeling. The electrochemical behavior of polymer electrolyte membrane fuel cells (PEMFC) is commonly described with a semi‐empirical model requiring fuel cell specific model parameter values. A large number of different nature inspired, heuristic optimization methods have been proposed for this PEMFC parameter estimation problem. In this study, those studies are listed and critically reviewed. In particular, the aim is to elaborate the generalization ability of the results and discuss the fair comparison of the algorithms used for the parameter estimation of the polarization curve. The observations made in this review could further increase the quality of future contributions in this particular area, as well as applications of heuristic optimization methods in other related problems in fuel cell systems.

中文翻译：

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聚合物电解质膜燃料电池极化曲线参数估计问题的观察

在变化的环境和可变负载条件下，燃料电池的最佳运行需要数学模型。通常使用需要燃料电池特定模型参数值的半经验模型来描述聚合物电解质膜燃料电池（PEMFC）的电化学行为。针对该PEMFC参数估计问题，已经提出了许多不同性质的启发式优化方法。在本研究中，列出了这些研究并进行了严格审查。尤其是，目的是阐述结果的泛化能力，并讨论用于极化曲线参数估计的算法的公平比较。此次审核中的观察结果可以进一步提高该特定领域未来捐款的质量，