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
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| 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 |
| DOI | 10.1016/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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