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A Review of physics-based and data-driven models for real-time control of polymer electrolyte membrane fuel cells

Energy and AI 2021年第4期6卷 97-129页

作者： Jian Zhao Xianguo Li chris shum John McPhee Department of Mechanical and Mechatronics Engineering University of WaterlooWaterlooOntarioCanada Department of Systems Design Engineering University of WaterlooWaterlooOntarioCanada

The real-time model-based control of polymer electrolyte membrane(PEM)fuel cells requires a computationally efficient and sufficiently accurate model to predict the transient and long-term performance under various operational conditions,involving the pressure,temperature,humidity,and stoichiometry *** this article,recent progress on the development of PEM fuel cell models that can be used for real-time control is *** major operational principles of PEM fuel cells and the associated mathematical description of the transport and electrochemical phenomena are *** reduced-dimensional physics-based models(pseudo-twodimensional,one-dimensional numerical and zero dimensional analytical models)and the non-physics-based models(zero-dimensional empirical and data-driven models)have been systematically examined,and the comparison of these models has been *** is found that the current trends for the real-time control models are(i)to couple the single cell model with balance of plants to investigate the system performance,(ii)to incorporate aging effects to enable long-term performance prediction,(iii)to increase the computational speed(especially for one-dimensional numerical models),and(iv)to develop data-driven models with artificial intelligence/machine learning *** review will be beneficial for the development of physics or nonphysics based models with sufficient accuracy and computational speed to ensure the real-time control of PEM fuel cells.

关键词： Polymer electrolyte membrane fuel cell Physics-based model Real-time control Reduced dimensionality Empirical model Data-driven model Artificial intelligence

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