Multi-objective optimization of efficient liquid cooling-based battery thermal management system using hybrid manifold channels
文献类型：期刊论文
| 作者 | Sui, Zengguang1; Lin, Haosheng1; Sun, Qin2; Dong, Kaijun2; Wu, Wei1 |
| 刊名 | APPLIED ENERGY
 |
| 出版日期 | 2024-10-01 |
| 卷号 | 371页码:13 |
| 关键词 | Battery thermal management Hybrid manifold channel Response surface method Multi -objective optimization Thermal performance Pressure drop |
| ISSN号 | 0306-2619 |
| DOI | 10.1016/j.apenergy.2024.123766 |
| 通讯作者 | Wu, Wei(weiwu53@cityu.edu.hk) |
| 英文摘要 | Maintaining a battery cell at an optimal temperature improves both its performance and lifespan. This study proposes a cold plate equipped with hybrid manifold channels, positioned at the bottom of a high -capacity 280 Ah LiFeO 4 battery pack. Based on the developed whole battery pack model, the response surface method elucidates the functional relationship between design parameters (i.e., the width of parallel channels, the width of manifold channels, the height of parallel channels, and the inlet velocity) and responses (i.e., the flow pressure drop, the temperature difference of the entire battery modules, and the temperature difference of the cold plate). Multi -objective optimization of design parameters is performed to search the Pareto front to maximize thermal performance and minimize flow pressure drop, employing the NSGA-II algorithm. Results reveal that the maximum battery temperature can be limited to 30.73 - 33.78 degrees C with a coolant pressure drop ranging from 7.66 kPa to 1.76 kPa, at a heating power of 10 kW/m 3 for the battery cell. The optimal design configuration, identified through TOPSIS, limits the maximum battery temperature to an acceptable temperature of 45 degrees C at a discharging rate of 3C, with a pressure drop below 4.2 kPa. Compared to the 280 Ah LiFeO 4 battery with natural air cooling and forced flow immersion cooling systems, the maximum battery temperature with a discharging rate of 1C is reduced by 17.6 degrees C and 11.7 degrees C, respectively. |
| WOS关键词 | LITHIUM-ION BATTERY ; DESIGN ; PERFORMANCE ; FLOW |
| 资助项目 | Research Grants Council of Hong Kong[11218922] ; National Nat- ural Science Foundation of China[52322812] ; Applied Research Grant of City University of Hong Kong[9667263] |
| WOS研究方向 | Energy & Fuels ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:001259573700001 |
| 出版者 | ELSEVIER SCI LTD |
| 资助机构 | Research Grants Council of Hong Kong ; National Nat- ural Science Foundation of China ; Applied Research Grant of City University of Hong Kong |
| 源URL | [http://ir.giec.ac.cn/handle/344007/42264]  |
| 专题 | 中国科学院广州能源研究所 |
| 通讯作者 | Wu, Wei |
| 作者单位 | 1.City Univ Hong Kong, Sch Energy & Environm, Hong Kong, Peoples R China 2.Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou, Peoples R China |
| 推荐引用方式 GB/T 7714 | Sui, Zengguang,Lin, Haosheng,Sun, Qin,et al. Multi-objective optimization of efficient liquid cooling-based battery thermal management system using hybrid manifold channels[J]. APPLIED ENERGY,2024,371:13. |
| APA | Sui, Zengguang,Lin, Haosheng,Sun, Qin,Dong, Kaijun,&Wu, Wei.(2024).Multi-objective optimization of efficient liquid cooling-based battery thermal management system using hybrid manifold channels.APPLIED ENERGY,371,13. |
| MLA | Sui, Zengguang,et al."Multi-objective optimization of efficient liquid cooling-based battery thermal management system using hybrid manifold channels".APPLIED ENERGY 371(2024):13. |
入库方式： OAI收割
来源：广州能源研究所
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