考虑漏电流影响的燃料电池参数辨识方法研究

Identification of fuel cell parameters with leakage current taken into account

摘要: 研究旨在探寻船用质子交换膜燃料电池(Proton Exchange Membrane Fuel Cell, PEMFC)模型参数辨识的优化方法。PEMFC模型中通常包含一些未知参数，研究拟采用蝠鲼觅食优化算法，通过最小化平方和误差来寻找模型的最优参数。为了提高PEMFC系统辨识的精度，研究在实际电流参数基础上增加了漏电流参数。仿真结果表明，基于蝠鲼觅食优化，并考虑漏电流影响的PEMFC系统参数辨识优化方法能有效提高参数辨识的精度与速度。

Abstract: The method of optimizing parameter identification with Proton Exchange Membrane Fuel Cell（PEMFC） is researched. There exist some unknown parameters in a PEMFC model. The research focuses on finding the optimal estimation of those unknown parameters in the sense of least mean square error. The leakage current is added to the model for better identification accuracy.