重庆理工大学学报2024，Vol.38Issue(1)：319-327,9.DOI:10.3969/j.issn.1674-8425(z).2024.01.035
动态工况下基于WOA-BiGRU的PEMFC性能退化预测
Performance degradation prediction of PEMFC under dynamic operating conditions based on WOA-BiGRU
摘要
Abstract
Proton exchange membrane fuel cell(PEMFC)is an important modern sustainable energy power generation device,and accurate estimation of its performance degradation is crucial for practical applications.Conventional data-driven approaches lack consideration of aging mechanisms,leading to unsatisfying handling of voltage recovery during performance degradation.By analyzing various characteristic information in PEMFC operational data,this paper proposes a dynamic operational condition-based prediction method for PEMFC performance degradation.First,the random forest algorithm is employed for data feature analysis to determine the features used for model training.Subsequently,a bidirectional gated recurrent units(BiGRU)model is built,and parameter optimization is performed using the whale optimization algorithm(WOA).Finally,the optimized BiGRU model is utilized for predicting PEMFC performance degradation,and the prediction effectiveness is evaluated.Experimental results on the PEMFC dynamic data set show the prediction accuracy is improved by 28.1％～33.7％compared with that of GRU and increased by 25.5％～31.2％compared with that of BiGRU.关键词
质子交换膜燃料电池/性能退化预测/电压恢复现象/双向机制/鲸鱼优化算法Key words
proton exchange membrane cell/performance degradation prediction/voltage recovery phenomenon/bidirectional mechanism/whale optimization algorithm分类
信息技术与安全科学引用本文复制引用
杨柳,王巍..动态工况下基于WOA-BiGRU的PEMFC性能退化预测[J].重庆理工大学学报,2024,38(1):319-327,9.基金项目
湖北省教育厅科学技术研究计划青年人才项目(16G333) （16G333）
湖北省自然科学基金青年基金项目(2023AFB561) （2023AFB561）
