Thermal management system for liquid-cooling PEMFC stack: From primary configuration to system control strategy

被引:102
作者
Yu, Yang [1 ,2 ]
Chen, Ming [1 ,2 ]
Zaman, Shahid [1 ,2 ]
Xing, Shuang [1 ,2 ]
Wang, Min [2 ,3 ]
Wang, Haijiang [1 ,2 ]
机构
[1] Southern Univ Sci & Technol, Dept Mech & Energy Engn, Shenzhen 518055, Peoples R China
[2] Southern Univ Sci & Technol, Key Lab Energy Convers & Storage Technol, Shenzhen 518055, Peoples R China
[3] Southern Univ Sci & Technol, Acad Adv Interdisciplinary Studies, Shenzhen 518055, Peoples R China
关键词
Proton exchange membrane fuel cell (PEMFC); Thermal management system (TMS); Temperature control strategy; Cooling channel; Nanofluids coolant; Modeling algorithm; MEMBRANE FUEL-CELL; ETHYLENE-GLYCOL MIXTURE; ELECTRICAL-CONDUCTIVITY; TEMPERATURE REGULATION; HEAT MANAGEMENT; WATER; PERFORMANCE; NANOFLUID; AL2O3; COOLANT;
D O I
10.1016/j.etran.2022.100165
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
Of various interacting and coupling factors acting on efficiency and durability of PEM fuel cell (PEMFC), comfort temperature level with good homogeneity maintains a dominant role in stack-level, and even integrated system which confronted with load changes frequently. Featured with low-grade reaction heat generation (60-80 degrees C) and its high proportion (similar to 50%) accounting for entire yield, liquid-cooling PEMFC stack considerably relies on the construction of thermal management scheme to achieve dynamic heat balance. Furthermore, to improve the efficiency and lifetime goals, coordinate operation of thermal management components is highly activated by robust control-oriented strategy with advanced modeling algorithm. Hence, this review focus on thermal management system (TMS) for liquid-cooling PEMFC stack, from the perspectives of primary configuration and system control strategy. Firstly, temperature control configurations with dual-control targets of TMS are introduced, followed by the development status of cooling channel design and novel coolant adoption. Then, thermal management scheme with coupling architecture is analyzed and discussed in order to address the necessity of decoupling the temperature regulation to improve the dynamic response of TMS. Based on the current situation of typical robust non-PID feedback and feedforward control strategy, novel control strategies with emerging modeling algorithms are presented to show the feasibility targets of comfort temperature grade, the robust response against varying loads as well as high efficiency with lower parasitic power. Finally, in conclusion and perspectives, the guideline and outlook of TMS for liquid-cooling PEMFC are provided to highlight its extensive potentials in low-grade heat recovery of large-power and high-efficiency PEMFC-based powertrain or FCEVs. (C) 2022 Elsevier B.V. All rights reserved.
引用
收藏
页数:19
相关论文
共 111 条
[1]   Coolant controls of a PEM fuel cell system [J].
Ahn, Jong-Woo ;
Choe, Song-Yul .
JOURNAL OF POWER SOURCES, 2008, 179 (01) :252-264
[2]   Technical and Commercial Challenges of Proton-Exchange Membrane (PEM) Fuel Cells [J].
Alaswad, Abed ;
Omran, Abdelnasir ;
Sodre, Jose Ricardo ;
Wilberforce, Tabbi ;
Pignatelli, Gianmichelle ;
Dassisti, Michele ;
Baroutaji, Ahmad ;
Olabi, Abdul Ghani .
ENERGIES, 2021, 14 (01)
[3]  
Amamiya IT. S., 2019, Hydrogen, Fuel Cell Project Evaluation, and Issue Sharing Week
[4]  
[Anonymous], 2011, FY 2011 MER REV M
[5]   Analysis of electrochemical and thermal models and modeling techniques for polymer electrolyte membrane fuel cells [J].
Asensio, F. J. ;
San Martin, J. I. ;
Zamora, I. ;
Saldana, G. ;
Onederra, O. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2019, 113
[6]  
Bargal MHS, INT J ENERGY RES, V45, P6831
[7]   Liquid cooling techniques in proton exchange membrane fuel cell stacks: A detailed survey [J].
Bargal, Mohamed H. S. ;
Abdelkareem, Mohamed A. A. ;
Tao, Qi ;
Li, Jing ;
Shi, Jianpeng ;
Wang, Yiping .
ALEXANDRIA ENGINEERING JOURNAL, 2020, 59 (02) :635-655
[8]  
Baroutaji A., 2021, Int J Thermofluids, V9, DOI DOI 10.1016/J.IJFT.2021.100064
[9]   Artificial neural networks: fundamentals, computing, design, and application [J].
Basheer, IA ;
Hajmeer, M .
JOURNAL OF MICROBIOLOGICAL METHODS, 2000, 43 (01) :3-31
[10]  
Cao H, IEEE T ENERGY CONVER, V31, P596