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operating conditions combination analysis method of optimal water management state for PEM fuel cell

Green Energy and Intelligent Transportation 2023年第4期2卷 28-42页

作者： Wenxin Wan Yang Yang Yang Li Changjun Xie Jie Song Zhanfeng Deng Jinting Tan Ruiming Zhang School of Automation Wuhan University of TechnologyWuhan430070China Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of TechnologyWuhan430070China Department of Electrical Engineering Chalmers University of TechnologyGothenburg41258Sweden Modern Industry College of Artificial Intelligence and New Energy Vehicles Wuhan University of TechnologyWuhan430070China Global Energy Interconnection Research Institute Beijing102211China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of TechnologyWuhan430070China Guangdong Hydrogen Energy Institute of Wuhan University of Technology Foshan528000China

The water content of proton exchange membrane fuel cells(PEMFCs)affects the transport of reactants and the conductivity of the *** water management measures can improve the performance and extend the lifespan of the fuel *** water management state of the stack is influenced by various external operating conditions,and optimizing the combination of these conditions can improve the water management state within the *** that the stack's internal resistance can reflect its water management state,this study first establishes an internal resistance-operating condition model that considers the coupling effect of temperature and humidity to determine the variation trend of total resistance and stack humidity with single-factor operating ***,the water management state optimization method based on the ANN-HGPSO algorithm is proposed,which not only quantitatively evaluates the influence weights of different operating conditions on the stack's internal resistance but also efficiently and accurately obtains the optimal combination of five operating conditions:working temperature,anode gas pressure,cathode gas pressure,anode gas humidity,and cathode gas humidity to achieve the optimal water management state in the stack,within the entire range of current ***,the response surface experimental results of the stack also validate the effectiveness and accuracy of the ANN-HGPSO *** method mentioned in this article can provide effective strategies for efficient water management and output performance optimization control of PEMFC stacks.

关键词： PEMFC Water management statue internal resistance-operating condition model operating condition optimization Response surface method

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