During the operation of solid oxide fuel cell (SOFC),complex physicochemical phenomenas such as convection,diffusion,surface reactions,and charge transfer reactions will occur. Coupling the reaction kinetics model with electrode simulation model canpredict the performance of SOFC. Compared to the Butler-Volmer equation,the multi-step elementary reaction model can better describethe actual electrode kinetics. However,parameters of multi-step elementary reaction model usually contain significant uncertainties,whichaffects the accuracy of model predictions. To reduce model prediction uncertainty,an anode model for SOFC using humidified hydrogengas (H2/H2O) as fuel is eatablished in this study,and polarization curve of the anode is calculated. Sensitivity analysis is conducted onthe kinetic and thermodynamic parameters,with 11 sensitive parameters being identified. Forward and reverse uncertainty analysis areperformed on the anode model separately,and the model prediction performance is optimized based on the results of uncertainty analysis.The results show that the optimized anode model reduces the prediction errors of the polarization curves at temperatures of 1 023.15 K and1 123.15 K from original 33.12% and 34.51% to 8.61% and 15.47% respectively,the model prediction accuracy is improved.

刘姣(2000—),女,湖南衡阳人,硕士研究生。E-mail:2133506@tongji.edu.cn

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LIU Jiao,YANG Jianfei,CAI Liming. Uncertainty analysis for prediction performance of solid oxide fuel cell (SOFC)anode model[J].Clean Coal Technology,2025,31(1):111−120.