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Degradation prediction of proton exchange membrane fuel cell stack using semi-empirical and data-driven methods

Energy and AI 2023年第1期11卷 1-11页

作者： Yupeng Wang Kangcheng Wu Honghui Zhao Jincheng Li Xia Sheng Yan Yin Qing Du Bingfeng Zu Linghai Han Kui Jiao State Key Laboratory of Engines Tianjin University135 Yaguan RoadTianjin300350China Powertrain Department General R&D InstituteFAWNo.1 Xinhongqi StreetChangchunJilin 130013China Internal Combustion Engine Research Institute Tianjin University92 Weijin RoadTianjin300072China

Degradation prediction of proton exchange membrane fuel cell(PEMFC)stack is of great significance for improving the rest useful *** this study,a PEMFC system including a stack of 300 cells and subsystems has been tested under semi-steady operations for about 931 ***,two different models are respectively established based on semi-empirical method and data-driven method to investigate the degradation of stack *** is found that the root mean square error(RMSE)of the semi-empirical model in predicting the stack voltage is around 1.0 V,while the predicted voltage has no local dynamic characteristics,which can only reflect the overall degradation trend of stack *** RMSE of short-term voltage degradation predicted by the DDM can be less than 1.0 V,and the predicted voltage has accurate local variation ***,for the long-term prediction,the error will accumulate with the iterations and the deviation of the predicted voltage begins to fluctuate gradually,and the RMSE for the long-term predictions can increase to 1.63 *** on the above characteristics of the two models,a hybrid prediction model is further *** prediction results of the semi-empirical model are used to modify the input of the data-driven model,which can effectively improve the oscillation of prediction results of the data-driven model during the long-term *** is found that the hybrid model has good error distribution(RSEM=0.8144 V,R2=0.8258)and local performance dynamic characteristics which can be used to predict the process of long-term stack performance degradation.

关键词： proton exchange membrane fuel cell system Data-driven method Semi-empirical equation Degradation experiments

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