电源技术2025，Vol.49Issue(6)：1246-1255,10.DOI:10.3969/j.issn.1002-087X.2025.06.020
基于Simulink的质子交换膜燃料电池模型参数优化
Parameter optimization of proton exchange membrane fuel cell model based on Simulink
鲍振杰 1缪雪龙 1王淙进 1狄亚格 1郑金保1
作者信息
- 1. 上海工程科技大学机械与汽车工程学院,上海 201620
- 折叠
摘要
Abstract
In order to solve the problems of optimization complexity and high experimental cost caused by the influence of various parameters such as temperature,humidity,and pressure on the performance of fuel cell stacks,a parameter optimization method for proton exchange membrane fuel cells(PEMFC)stacks based on particle swarm optimization algorithm(PSO)was proposed.The tradi-tional parameter optimization often relies on a large number of experiments,which is time-consuming and costly.A voltage output characteristic model of PEMFC stack was established based on MATLAB/Simulink.The output voltage at the moment when the relative error between experiment and simula-tion was the minimum was selected as the optimization objective.The input parameters were opti-mized by using PSO algorithm.The results show that the voltage output characteristics of the stack significantly improve,and especially in the medium and high current density range,the model predic-tion accuracy enhances.The parameter optimization method provides a more accurate model for pre-dicting the performance of fuel cells,which not only improves the efficiency of the fuel cell stack de-sign process,but also lays a solid foundation for future performance optimization research.关键词
Simulink/PEMFC/粒子群算法/电流密度/电压输出Key words
Simulink/PEMFC/particle swarm optimization/current density/voltage output分类
信息技术与安全科学引用本文复制引用
鲍振杰,缪雪龙,王淙进,狄亚格,郑金保..基于Simulink的质子交换膜燃料电池模型参数优化[J].电源技术,2025,49(6):1246-1255,10.
