Feasibility Assessment of Fast Numerical Simulations for Real-Time Monitoring and Control of PEM Fuel Cells

被引:11
作者
Ghasemi, Abbas [1 ]
Shahgaldi, Samaneh [1 ]
Li, Xianguo [1 ]
机构
[1] Univ Waterloo, Dept Mech & Mechatron Engn, Waterloo, ON N2L 3G1, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
PEM fuel cell; Relative humidity; Real-time control; Gas diffusion layer; Catalyst layer; TRANSPORT PHENOMENA; RELATIVE-HUMIDITY; TRANSIENT MODEL; PERFORMANCE; WATER; IMPACT; SORPTION; 2-PHASE;
D O I
10.1007/s12209-022-00347-6
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Computational models that ensure accurate and fast responses to the variations in operating conditions, such as the cell temperature and relative humidity (RH), are essential monitoring tools for the real-time control of proton exchange membrane (PEM) fuel cells. To this end, fast cell-area-averaged numerical simulations are developed and verified against the present experiments under various RH levels. The present simulations and measurements are found to agree well based on the cell voltage (polarization curve) and power density under variable RH conditions (RH = 40%, RH = 70%, and RH = 100%), which verifies the model accuracy in predicting PEM fuel cell performance. In addition, computationally feasible reduced-order models are found to deliver a fast output dataset to evaluate the charge/heat/mass transfer phenomena as well as water production and two-phase flow transport. Such fast and accurate evaluations of the overall fuel cell operation can be used to inform the real-time control systems that allow for the improved optimization of PEM fuel cell performance.
引用
收藏
页码:31 / 45
页数:15
相关论文
共 41 条
[1]   A systematic approach for matching simulated and experimental polarization curves for a PEM fuel cell [J].
Arif, Muhammad ;
Cheung, Sherman C. P. ;
Andrews, John .
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2020, 45 (03) :2206-2223
[2]   Modelling of polymer electrolyte membrane fuel cells with variable degrees of water flooding [J].
Baschuk, JJ ;
Li, XH .
JOURNAL OF POWER SOURCES, 2000, 86 (1-2) :181-196
[3]   A MATHEMATICAL-MODEL OF THE SOLID-POLYMER-ELECTROLYTE FUEL-CELL [J].
BERNARDI, DM ;
VERBRUGGE, MW .
JOURNAL OF THE ELECTROCHEMICAL SOCIETY, 1992, 139 (09) :2477-2491
[4]  
Bird R.B., 2007, Transport phenomena, V2nd ed.
[5]  
Cha S.-W., 2016, FUEL CELLS
[6]  
Cownden R., 2001, Exergy, An International Journal, V1, DOI DOI 10.1016/S1164-0235(01)00017-6
[7]  
Dekker K., 1984, Stability of Runge-Kutta methods for stiff nonlinear differential equations
[8]  
Doe U, 2010, MULT RES DEV DEM PLA, P1
[9]   Evaporation Modeling for Polymer Electrolyte Membrane Fuel Cells [J].
Fritz, D. L., III ;
Allen, J. S. .
PROTON EXCHANGE MEMBRANE FUEL CELLS 9, 2009, 25 (01) :49-58
[10]   A 1+1-D Multiphase Proton Exchange Membrane Fuel Cell Model for Real-Time Simulation [J].
Gong, Zhichao ;
Wang, Bowen ;
Wu, Kangcheng ;
Miao, Tianwei ;
Yang, Kai ;
Zhai, Shuang ;
Ma, Rui ;
Gao, Fei ;
Jiao, Kui .
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2022, 8 (02) :2928-2944