共 165 条
Classification, summarization and perspective on modeling techniques for polymer electrolyte membrane fuel cell
被引:32
作者:
Zhao, Xiuliang
[1
,2
]
Zhou, Yinglong
[1
]
Wang, Lei
[1
]
Pan, Bangxiong
[1
]
Wang, Ruochen
[1
]
Wang, Limei
[1
]
机构:
[1] Jiangsu Univ, Sch Automot & Traff Engn, Zhenjiang 212013, Peoples R China
[2] Chongqing Univ Technol, Key Lab Adv Manufacture Technol Automobile Parts, Minist Educ, Chongqing 400054, Peoples R China
基金:
中国国家自然科学基金;
关键词:
Proton exchange membrane fuel cell;
Modeling scale;
Modeling method;
Model development trend;
ELECTRICAL CIRCUIT MODEL;
GAS-DIFFUSION LAYER;
WATER TRANSPORT;
EXPERIMENTAL VALIDATION;
2-PHASE FLOW;
PERFORMANCE ANALYSIS;
EQUIVALENT-CIRCUIT;
PREDICTIVE CONTROL;
CATALYST LAYERS;
NEURAL-NETWORK;
D O I:
10.1016/j.ijhydene.2023.03.033
中图分类号:
O64 [物理化学(理论化学)、化学物理学];
学科分类号:
070304 ;
081704 ;
摘要:
Proton Exchange Membrane Fuel cell (PEMFC) model is helpful to understand the physical and chemical properties of the PEMFC and predict the performance of the PEMFC under different working conditions. Moreover, it can also provide essential references for evaluating new designs, new materials, and new control strategies. This paper specifically discusses PEMFC modeling at different scales, including single cell scale, stack scale and system scale. In addition, the main modeling approaches of the PEMFC are introduced indepth, including mechanism approach, empirical approach, semi-empirical approach, equivalent circuit approach, and data-driven approach. The relationship between modeling approaches and different modeling scales is also discussed. At the same time, according to the different characteristics of the model, the modeling research in the last decade is summarized. On this basis, the development trend of the PEMFC modeling research is further analyzed by the statistical analysis method.& COPY; 2023 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
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页码:21864 / 21885
页数:22
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