质子交换膜燃料电池
燃料电池
膜
国家(计算机科学)
质子
化学
工程类
化学工程
计算机科学
物理
生物化学
核物理学
算法
作者
K. J. Li,Jichao Hong,Chi Zhang,Fengwei Liang,Haixu Yang,Fei Ma,Facheng Wang
标识
DOI:10.1016/j.jpowsour.2024.234828
摘要
Proton exchange membrane fuel cell (PEMFC) is characterized by environmental protection and energy saving, clean and pollution-free, which is consistent with the development background of the current era. At present, it has become the development direction of many countries. The short lifetime and poor durability of PEMFC are the main problems restricting their application and industrial development. Especially in the transportation field, there is still a big gap between PEMFC and internal combustion engine in terms of lifetime. State of health (SOH) monitoring and prediction is an important approach to improve the durability and reliability of PEMFCs. By analyzing the mechanism of fuel cell degradation, extracting the parameters that characterize the degradation process and monitoring them in real time can realize the SOH prediction of PEMFC, which can effectively avoid the damage and loss of life of the fuel cell. The improvement of the accuracy of SOH monitoring under dynamic operating conditions and the exploration of more efficient and comprehensive prediction models and methods are key challenges in SOH monitoring and prediction of PEMFC systems. This paper mainly summarizes the different monitoring and prediction methods applied in PEMFCs, and explores the strategies for evaluating the prediction results.
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