An intelligent thermal management system for optimized lithium-ion battery pack

被引：86
作者：
Zhuang, Weichao [1 ]
Liu, Zhitao [1 ]
Su, Hongye [1 ]
Chen, Guangwei [1 ]
机构：
[1] Zhejiang Univ, Inst Cyber Syst & Control, State Key Lab Ind Control Technol, Hangzhou 310027, Peoples R China
来源：
APPLIED THERMAL ENGINEERING | 2021年 / 189卷
基金：
中国国家自然科学基金; 国家重点研发计划;
关键词：
Battery thermal management system; Battery pack optimization; Reciprocating air flow; Cooling strategy; Fuzzy model predictive control; EQUIVALENT-CIRCUIT; PERFORMANCE; MODEL; FLOW; CELL;
D O I：
10.1016/j.applthermaleng.2021.116767
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
Battery thermal management system is one of the most essential parts for the battery pack in electric vehicles. In this paper, a new battery thermal management system is developed through the combination of the battery pack structure optimization and the cooling strategy design. First, a new battery pack equipped with the hollow spoiler prisms based on the aligned battery pack is designed to improve the cooling performance. The best intervals design between cells and the optimal sizes of spoiler prisms are given. Second, the reciprocating air flow is applied to improve the temperature uniformity of the cells, and an indicator is put forward to determine the suitable reciprocation period of air flow. Third, the intelligent cooling method based on fuzzy model predictive control is adopted to adjust the cooling intensity according to heat dissipation needs and energy consumption. Finally, the ANSYS simulation results show that the proposed battery thermal management system can save 76.4% of energy compared to the conventional cooling system, while maintaining the average temperature of cells around the optimal operating temperature. And the temperature non-uniformity is reduced from 1.5 degrees C to around 0.6 degrees C.
引用
收藏
页数：14
相关论文
共 36 条
[1]  
[Anonymous], 1993, Readings in Fuzzy Sets for Intelligent Systems, DOI DOI 10.1016/B978-1-4832-1450-4.50045-6
[2]   A GENERAL ENERGY-BALANCE FOR BATTERY SYSTEMS [J].
BERNARDI, D ;
PAWLIKOWSKI, E ;
NEWMAN, J .
JOURNAL OF THE ELECTROCHEMICAL SOCIETY, 1985, 132 (01) :5-12
[3]   Air and PCM cooling for battery thermal management considering battery cycle life [J].
Chen, Fenfang ;
Huang, Rui ;
Wang, Chongming ;
Yu, Xiaoli ;
Liu, Huijun ;
Wu, Qichao ;
Qian, Keyu ;
Bhagat, Rohit .
APPLIED THERMAL ENGINEERING, 2020, 173
[4]   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
[5]  
Du JN, 2014, IEEE INT CONF CON AU, P1333, DOI 10.1109/ICCA.2014.6871117
[6]   Effects of the different air cooling strategies on cooling performance of a lithium-ion battery module with baffle [J].
E, Jiaqiang ;
Yue, Meng ;
Chen, Jingwei ;
Zhu, Hao ;
Deng, Yuanwang ;
Zhu, Yun ;
Zhang, Feng ;
Wen, Ming ;
Zhang, Bin ;
Kang, Siyi .
APPLIED THERMAL ENGINEERING, 2018, 144 :231-241
[7]   Orthogonal experimental design of liquid-cooling structure on the cooling effect of a liquid-cooled battery thermal management system [J].
E, Jiaqiang ;
Han, Dandan ;
Qiu, An ;
Zhu, Hao ;
Deng, Yuanwang ;
Chen, Jingwei ;
Zhao, Xiaohuan ;
Zuo, Wei ;
Wang, Hongcai ;
Chen, Jianmei ;
Peng, Qingguo .
APPLIED THERMAL ENGINEERING, 2018, 132 :508-520
[8]   Active Thermal Control of a Battery Pack Under Elevated Temperatures [J].
Gao, Xiaojing ;
Ma, Yan ;
Chen, Hong .
IFAC PAPERSONLINE, 2018, 51 (31) :262-267
[9]   Equivalent circuit model parameters of a high-power Li-ion battery: Thermal and state of charge effects [J].
Gomez, Jamie ;
Nelson, Ruben ;
Kalu, Egwu E. ;
Weatherspoon, Mark H. ;
Zheng, Jim P. .
JOURNAL OF POWER SOURCES, 2011, 196 (10) :4826-4831
[10]   A coupled nonlinear equivalent circuit - Thermal model for lithium ion cells [J].
Hariharan, Krishnan S. .
JOURNAL OF POWER SOURCES, 2013, 227 :171-176
1234