Fuel cell health state estimation based on a novel dynamic degradation model under non-fixed dynamic vehicle working conditions

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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Publication Details

Journal
Applied Energy
Published
2025-04-21
DOI
https://doi.org/10.1016/j.apenergy.2025.125955
Citations
4
Primary Topic
Fuel Cells and Related Materials
Type
article
Field-Weighted Citation Impact
2.92

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article

Fuel cell health state estimation based on a novel dynamic degradation model under non-fixed dynamic vehicle working conditions

Weitao Zou, Chenyu Zhang, Jianwei Li, Zhanxing Mao et al.
4 citations
Applied Energy
Fuel Cells and Related Materials
2.92
article

Fuel cell health state estimation based on a novel dynamic degradation model under non-fixed dynamic vehicle working conditions

Weitao Zou, Chenyu Zhang, Jianwei Li, Zhanxing Mao, Hongwen He, Shuang Zhai, Xinming Wan
article en
4 citations

Abstract

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.

Applied EnergyVol. 391
Beijing Institute of Technology (CN), Electric Power Research Institute (US), Shanghai Electric (China) (CN), China Automotive Engineering Research Institute (CN), Institute of Refrigeration (GB), Zhuhai Institute of Advanced Technology (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 9%
Fuel Cells and Related Materials
2.92
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