基于阿基米德优化算法对质子交换膜燃料电池的模型参数估计  

Model Parameter Estimation of Proton Exchange Membrane Fuel Cell Based on Archimedes Optimization Algorithm

作　　者：姚斌[1] Yao Bin

机构地区：[1]浙江农业商贸职业学院汽车技术系,浙江绍兴312000

出　　处：《时代汽车》2024年第10期124-126,共3页Auto Time

基　　金：2022年浙江省教育厅一般科研项目“基于阿基米德优化算法的质子交换膜燃料电池模型参数预测与优化识别”(Y202248763)。

摘　　要：随着新能源汽车市场占有率不断提高,燃料电池电动汽车也在不断地发展,质子交换膜燃料电池作为其关键部件之一,设计制造成本尤为重要。在文章研究中,提出了一种新的模型识别方法,用于质子交换膜燃料电池的最佳参数识别。所提出的方法使用了改进型阿基米德设计优化算法,然后在实验研究中,实施了该设计的模型,并将结果与一些众所周知的方法进行比较。最终结果表明,所提出的方法对于Nexa模型的误差值为0.10,比较其他算法中,本研究提供了最佳解决方案。With the continuous improvement of the market share of new energy vehicles,fuel cell electric vehicles are also developing,and the design and manufacturing cost of proton exchange membrane fuel cell is particularly important as one of its key components.In this study,a new model recognition method is proposed for the identification of the best parameters of proton exchange membrane fuel cells.The proposed method uses an improved Archimedes design optimization algorithm,and then in experimental studies,the model of this design is implemented and the results are compared with some well-known methods.The results show that the proposed method has an error value of 0.10 for the Nexa model,and compared with other algorithms,this study provides the best solution.

关 键 词：阿基米德优化算法 质子交换膜燃料电池 模型 仿真 

分 类 号：TM9[电气工程—电力电子与电力传动]