中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Multi-objective optimization of battery thermal management system based on a novel embedded hybrid cooling plate considering time-based early shutdown strategy

文献类型:期刊论文

作者Cai, Yunxiang1,2,3; Sun, Qin1,2,3; Gu, Xiaobin2,3; Li, Yuping2,3; Luo, Weimin2,3; Zhang, Yanjun2,3; Zhang, Bobo2,3; Huang, Gongsheng4; Dong, Kaijun1,2,3
刊名ENERGY
出版日期2024-12-15
卷号312页码:19
关键词Battery thermal management Embedded hybrid cooling plate Phase change material Time-based early shutdown strategy Multi-objective optimization
ISSN号0360-5442
DOI10.1016/j.energy.2024.133419
通讯作者Sun, Qin(sunqinsq@hotmail.com) ; Dong, Kaijun(dongkj@ms.giec.ac.cn)
英文摘要To enhance the operating performance of the lithium-ion battery module during high-rate discharge with lower energy consumption, a novel embedded hybrid cooling plate (EHCP) coupled with wavy liquid cooling channels and phase change material (PCM) was proposed for the thermal management of a prismatic battery module. The numerical model of the battery thermal management system (BTMS) was developed and validated by experimental data. The effects of key operating parameters on the thermal management performance were systematically investigated through single-factor analysis. Three different control strategies were compared, and the timebased early shutdown strategy exhibited a better performance in reducing the maximum temperature difference and flow energy consumption for active cooling. Then, a reliable multi-objective optimization algorithm (MOGA) was adopted to obtain the optimal operating parameters of the BTMS including PCM thermophysical properties, coolant inlet temperature and velocity, and liquid cooling shutdown time. The result showed that the maximum temperature and maximum single-cell temperature difference of the battery module could be controlled at 39.75 degrees C and 4.91 degrees C, while the flow energy consumption was reduced by 80.80 % compared to the continuous liquid cooling mode under 3C discharge with an ambient temperature of 30 degrees C. These results imply that the proposed BTMS has adequate thermal management capacity and the potential for practical application.
WOS关键词PHASE-CHANGE MATERIALS ; PERFORMANCE ANALYSIS ; PCM
资助项目Beijing Natural Science Foundation[L245004] ; Guangzhou Development Zone International Science and Technology Cooperation Project Funding[2021GH07] ; Shenzhen Science and Technology Program[KCXST20221021111216038] ; National Natural Science and Foundation of China[52474445]
WOS研究方向Thermodynamics ; Energy & Fuels
语种英语
WOS记录号WOS:001341047300001
出版者PERGAMON-ELSEVIER SCIENCE LTD
资助机构Beijing Natural Science Foundation ; Guangzhou Development Zone International Science and Technology Cooperation Project Funding ; Shenzhen Science and Technology Program ; National Natural Science and Foundation of China
源URL[http://ir.giec.ac.cn/handle/344007/43345]  
专题中国科学院广州能源研究所
通讯作者Sun, Qin; Dong, Kaijun
作者单位1.Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou 510640, Peoples R China
2.Univ Sci & Technol China, Sch Energy Sci & Engn, Hefei 230026, Peoples R China
3.Guangdong Prov Key Lab New & Renewable Energy Res, Guangzhou, Peoples R China
4.City Univ Hong Kong, Dept Architecture & Civil Engn, Hong Kong, Peoples R China
推荐引用方式
GB/T 7714
Cai, Yunxiang,Sun, Qin,Gu, Xiaobin,et al. Multi-objective optimization of battery thermal management system based on a novel embedded hybrid cooling plate considering time-based early shutdown strategy[J]. ENERGY,2024,312:19.
APA Cai, Yunxiang.,Sun, Qin.,Gu, Xiaobin.,Li, Yuping.,Luo, Weimin.,...&Dong, Kaijun.(2024).Multi-objective optimization of battery thermal management system based on a novel embedded hybrid cooling plate considering time-based early shutdown strategy.ENERGY,312,19.
MLA Cai, Yunxiang,et al."Multi-objective optimization of battery thermal management system based on a novel embedded hybrid cooling plate considering time-based early shutdown strategy".ENERGY 312(2024):19.

入库方式: OAI收割

来源:广州能源研究所

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