降级(电信)
计算机科学
控制理论(社会学)
估计
国家(计算机科学)
汽车工程
燃料电池
工程类
算法
人工智能
控制(管理)
化学工程
电信
系统工程
作者
Jianwei Li,Weitao Zou,Hongwen He,Chenyu Zhang,Shuang Zhai,Xinming Wan,Zhanxing Mao
出处
期刊:Applied Energy
[Elsevier BV]
日期:2025-04-21
卷期号:391: 125955-125955
被引量:4
标识
DOI:10.1016/j.apenergy.2025.125955
摘要
Proton exchange membrane fuel cells (PEMFCs) hold significant promise for vehicle applications due to their low carbon emissions and high efficiency. Accurate assessment of the state of health (SOH) of fuel cells is crucial for extending system life and minimizing overall costs. The SOH of a fuel cell is typically defined by the voltage decay under constant current. However, evaluating the health of fuel cells under dynamic vehicle conditions is challenging, as it is difficult to obtain the voltage decay pattern under constant current in such settings. Existing research has focused primarily on SOH estimation under steady-state or fixed-cycle conditions, yielding relatively good results, but there is a lack of studies on SOH evaluation under dynamic conditions. To address this gap, this paper presents a durability experiment conducted on a 120 kW automotive fuel cell system under non-fixed cycle dynamic conditions. Focusing on ohmic polarization decay as the key degradation index, we integrated an equivalent circuit model with a steady-state empirical model to establish a nonlinear fuel cell degradation model suitable for dynamic conditions. Using unscented Kalman filtering (UKF), the polarization curves are reconstructed at different stages of decay to evaluate the fuel cell’s health status. The feasibility and accuracy of the proposed method were verified through experimental data. • A fuel cell durability experiment under non-fixed dynamic conditions is designed. • A dynamic degradation model is proposed for on-line dynamic health estimation. • The influence of current and temperature on ohmic polarization is taken into account. • Polarization curves is reconstructed for fuel cell health status assessment.
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