发电技术2025，Vol.46Issue(3)：541-555,15.DOI:10.12096/j.2096-4528.pgt.25146
基于人工智能的质子交换膜燃料电池状态估计及故障诊断
State Estimation and Fault Diagnosis of Proton Exchange Membrane Fuel Cells Based on Artificial Intelligence
摘要
Abstract
[Objectives]The proton exchange membrane fuel cell(PEMFC),as a highly promising clean energy technology,has attracted much attention in the field of energy conversion.However,the high complexity and operational uncertainties of PEMFC systems pose significant challenges to state estimation and fault diagnosis,seriously affecting system reliability and safety.To effectively address these challenges,the application strategies and effectiveness of artificial intelligence(AI)technology in PEMFC state estimation and fault diagnosis are studied.[Methods]Current research progress on PEMFC state estimation and fault diagnosis is analyzed.In the field of state estimation,the nonlinear model characteristics of PEMFC are analyzed,AI-based state estimation technologies are introduced,and the application principles and advantages of different algorithms for PEMFC state estimation are analyzed.In the field of fault diagnosis,common fault types of PEMFC are summarized,their fault manifestations and internal causes are analyzed,and AI-based fault diagnosis technologies are introduced.Finally,the future prospects for AI-based PEMFC state estimation and fault diagnosis technologies are discussed.[Conclusions]With its powerful data processing and pattern recognition capabilities,AI technology can accurately estimate the state of PEMFC and effectively diagnose potential system faults,thereby significantly improving the the operational efficiency and stability of PEMFC systems and enhancing their reliability and safety.Future research can focus on areas such as AI algorithm innovation,optimization of state estimation and fault diagnosis,intelligent system development,and collaboration with other technologies.关键词
清洁能源/氢能/人工智能(AI)/质子交换膜燃料电池(PEMFC)/状态估计/故障诊断/深度学习Key words
clean energy/hydrogen energy/artificial intelligence(AI)/proton exchange membrane fuel cell(PEMFC)/state estimation/fault diagnosis/deep learning分类
能源科技引用本文复制引用
郑如意,杨博,周率,蒋林,李鸿彪,郜登科..基于人工智能的质子交换膜燃料电池状态估计及故障诊断[J].发电技术,2025,46(3):541-555,15.基金项目
国家自然科学基金项目(62263014) （62263014）
云南省自然科学基金项目(202401AT070344).Project Supported by National Natural Science Foundation of China(62263014) （202401AT070344）
Natural Science Foundation of Yunnan Province(202401AT070344). （202401AT070344）
