Multi-objective optimization of battery thermal management system combining response surface analysis and NSGA-II algorithm
文献类型：期刊论文
| 作者 | Zhao, Ding1,2; Chen, Mingbiao1; Lv, Jie1; Lei, Zhiguo2; Song, Wenji1 |
| 刊名 | ENERGY CONVERSION AND MANAGEMENT
 |
| 出版日期 | 2023-09-15 |
| 卷号 | 292页码:14 |
| 关键词 | Large surface cooling PCM microchannel coupled Response surface method Optimal design |
| ISSN号 | 0196-8904 |
| DOI | 10.1016/j.enconman.2023.117374 |
| 通讯作者 | Song, Wenji(songwj@ms.giec.ac.cn) |
| 英文摘要 | To keep the operating temperature of lithium-ion batteries (LiBs) in the ideal range, a phase change material (PCM)/microchannel coupled battery thermal management system (BTMS) was proposed in this paper. The range of values for each factor was first determined by single-factor analysis. The significance of each factor on the response was then investigated by the response surface method (RSM), and the effect of interaction terms was analyzed. Finally, the proposed BTMS was optimally designed based on the Non-dominated Sorting Genetic Algorithm-II (NSGA-II). Compared with the initial design, the maximum temperature of the optimal design was increased by 0.2 & DEG;C, but the maximum temperature difference and Pressure drop were reduced by 9.3% and 93.7%, respectively. In addition, the liquid phase fraction of PCM has increased by 25.9%. At the same time, the volume of the optimal design was reduced by 15.6% compared to the initial design. In the proposed BTMS, the liquid cooling plate was fitted to the largest surface of the prismatic LiBs, increasing the heat transfer area. Compared to the aluminum liquid cooling plate, PCM acts as a thermal buffer, avoiding significant temperature differences between LiBs along the coolant flow path and improving temperature uniformity. |
| 资助项目 | National Key Research and Development Program of China[2021YFE0112500] ; European Union[101007976] |
| WOS研究方向 | Thermodynamics ; Energy & Fuels ; Mechanics |
| 语种 | 英语 |
| WOS记录号 | WOS:001040870100001 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 资助机构 | National Key Research and Development Program of China ; European Union |
| 源URL | [http://ir.giec.ac.cn/handle/344007/39165]  |
| 专题 | 中国科学院广州能源研究所 |
| 通讯作者 | Song, Wenji |
| 作者单位 | 1.Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou 510640, Peoples R China 2.Fujian Agr & Forestry Univ, Coll Mech & Elect Engn, Fuzhou 350108, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhao, Ding,Chen, Mingbiao,Lv, Jie,et al. Multi-objective optimization of battery thermal management system combining response surface analysis and NSGA-II algorithm[J]. ENERGY CONVERSION AND MANAGEMENT,2023,292:14. |
| APA | Zhao, Ding,Chen, Mingbiao,Lv, Jie,Lei, Zhiguo,&Song, Wenji.(2023).Multi-objective optimization of battery thermal management system combining response surface analysis and NSGA-II algorithm.ENERGY CONVERSION AND MANAGEMENT,292,14. |
| MLA | Zhao, Ding,et al."Multi-objective optimization of battery thermal management system combining response surface analysis and NSGA-II algorithm".ENERGY CONVERSION AND MANAGEMENT 292(2023):14. |
入库方式： OAI收割
来源：广州能源研究所
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