Surrogate based multi-objective design optimization of lithium-ion battery air-cooled system in electric vehicles

被引:76
作者
Cheng, Liu [1 ]
Garg, Akhil [1 ]
Jishnu, A. K. [1 ]
Gao, Liang [1 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Mech Sci & Engn, State Key Lab Digital Mfg Equipment & Technol, Wuhan, Hubei, Peoples R China
关键词
Energy storage; Hydrodynamics performance; Air cooling; Fins structure; Surrogates; THERMAL MANAGEMENT-SYSTEM; PERFORMANCE; PACK; FLOW;
D O I
10.1016/j.est.2020.101645
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
An effective and efficient lithium-ion Battery Thermal Management System (BTMS) design can significantly improve the performance of the battery pack. However, it is difficult to achieve an effective design of BTMS as there are several parameters from multidisciplinary fields that are needed to be optimized simultaneously. Thus, to solve this multi-objective optimization problem, a new type of finned forced air-cooled BTMS is designed. An optimization design method based on the surrogate is then proposed. This method decomposes the BTMS optimization problem into three subproblems such as thermodynamic problem, fluid dynamics problem, and mechanical structure problem. The optimization goal is to minimize the average battery temperature, the standard deviation of battery temperature, and the pressure drop of the BTMS system. Besides, the lightweight design of the heat dissipation system structure is also discussed. Finally, the optimal design involving multiple conflicting objectives in BTMS is generated by Multi-objective Genetic Algorithm (MOGA). From set of solutions, an optimal solution is selected. The optimized BTMS find a balance between cooling efficiency, system volume and power consumption.
引用
收藏
页数:12
相关论文
共 25 条
[1]   Configuration, design, and optimization of air-cooled battery thermal management system for electric vehicles: A review [J].
Akinlabi, A. Hakeem ;
Solyali, Davut .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2020, 125
[2]   Performance assessment of a new hydrogen cooled prismatic battery pack arrangement for hydrogen hybrid electric vehicles [J].
Al-Zareer, Maan ;
Dincer, Ibrahim ;
Rosen, Marc A. .
ENERGY CONVERSION AND MANAGEMENT, 2018, 173 :303-319
[3]   Electrochemical modeling and performance evaluation of a new ammonia-based battery thermal management system for electric and hybrid electric vehicles [J].
Al-Zareer, Maan ;
Dincer, Ibrahim ;
Rosen, Marc A. .
ELECTROCHIMICA ACTA, 2017, 247 :171-182
[4]   Safety mechanisms in lithium-ion batteries [J].
Balakrishnan, PG ;
Ramesh, R ;
Kumar, TP .
JOURNAL OF POWER SOURCES, 2006, 155 (02) :401-414
[5]   Efficient multiobjective optimization employing Gaussian processes, spectral sampling and a genetic algorithm [J].
Bradford, Eric ;
Schweidtmann, Artur M. ;
Lapkin, Alexei .
JOURNAL OF GLOBAL OPTIMIZATION, 2018, 71 (02) :407-438
[6]  
Campanari S., ENERGY ANAL EV USING
[7]   Structure optimization of parallel air-cooled battery thermal management system with U-type flow for cooling efficiency improvement [J].
Chen, Kai ;
Song, Mengxuan ;
Wei, Wei ;
Wang, Shuangfeng .
ENERGY, 2018, 145 :603-613
[8]  
China Association for Science and Technology, 2019, 2019 WORLD NEW EN VE
[9]   A parametric study on thermal management of an air-cooled lithium-ion battery module for plug-in hybrid electric vehicles [J].
Fan, Liwu ;
Khodadadi, J. M. ;
Pesaran, A. A. .
JOURNAL OF POWER SOURCES, 2013, 238 :301-312
[10]   Experimental study on the thermal management performance of air cooling for high energy density cylindrical lithium-ion batteries [J].
Fan, Yuqian ;
Bao, Yun ;
Ling, Chen ;
Chu, Yanyan ;
Tan, Xiaojun ;
Yang, Shuting .
APPLIED THERMAL ENGINEERING, 2019, 155 :96-109