| 题名 | Modeling and optimization of liquid-based battery thermal management system considering battery electrochemical characteristics |
| 作者 | |
| 通讯作者 | Zhao, Tianshou; Ni, Meng |
| 发表日期 | 2023-10-15
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| DOI | |
| 发表期刊 | |
| ISSN | 2352-152X
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| EISSN | 2352-1538
|
| 卷号 | 70 |
| 摘要 | In this research, a novel multi-physics model is proposed to facilitate battery thermal management system (BTMS) design and optimization. For parametric simulations and optimization, a new optimization framework is developed for BTMS by utilizing numerical simulations, artificial intelligence and multi-objective genetic algorithm. It is found that BTMS is inadequate in addressing thermal issues that arise in aged battery pack, primarily because of the increased total heat generation rate resulting from battery aging effect. Besides, it has also been observed that BTMS plays a significant role in managing battery electrochemical performance. Meanwhile, optimizing mini-channel geometrical parameters, mini-channel arrangement and nanoparticle volume fraction are found to be an effective method to further control battery thermal issues. However, it is observed that reducing battery temperature invariably incurs a reduction in battery average potential. Therefore, multivariables global optimizations are conducted based on various combinations of weighted coefficients and optimization strategies. It is found that all obtained optimization schemes can achieve the trade-offs among battery thermal behaviors, pressure loss and electrochemical performance, with meeting the desired temperature requirements even during long-term operation. Furthermore, the selection about weighted coefficient and optimization strategy can be tailored to meet the specific demands and prerequisites of various engineering applications. |
| 关键词 | |
| 相关链接 | [来源记录] |
| 收录类别 | |
| 语种 | 英语
|
| 学校署名 | 通讯
|
| 资助项目 | Research Grants Council, Uni-versity Grants Committee, Hong Kong SAR[T23-601/17-R]
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| WOS研究方向 | Energy & Fuels
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| WOS类目 | Energy & Fuels
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| WOS记录号 | WOS:001034568300001
|
| 出版者 | |
| EI入藏号 | 20232514276745
|
| EI主题词 | Battery management systems
; Battery Pack
; Economic and social effects
; Genetic algorithms
; Geometry
; Global optimization
; Temperature control
; Thermal management (electronics)
|
| EI分类号 | Secondary Batteries:702.1.2
; Artificial Intelligence:723.4
; Specific Variables Control:731.3
; Mathematics:921
; Optimization Techniques:921.5
; Social Sciences:971
|
| 来源库 | Web of Science
|
| 引用统计 |
被引频次[WOS]：6
|
| 成果类型 | 期刊论文 |
| 条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/553274 |
| 专题 | 工学院_机械与能源工程系 工学院 |
| 作者单位 | 1.Hong Kong Polytech Univ, Res Inst Sustainable Urban Dev RISUD, Res Inst Smart Energy RISE, Dept Bldg & Real Estate,Hung Hom,Kowloon, Hong Kong, Peoples R China 2.Southern Univ Sci & Technol, Coll Engn, Dept Mech & Energy Engn, Shenzhen, Peoples R China |
| 通讯作者单位 | 机械与能源工程系; 工学院 |
| 推荐引用方式 GB/T 7714 |
Guo, Zengjia,Wang, Yang,Zhao, Siyuan,et al. Modeling and optimization of liquid-based battery thermal management system considering battery electrochemical characteristics[J]. JOURNAL OF ENERGY STORAGE,2023,70.
|
| APA |
Guo, Zengjia,Wang, Yang,Zhao, Siyuan,Zhao, Tianshou,&Ni, Meng.(2023).Modeling and optimization of liquid-based battery thermal management system considering battery electrochemical characteristics.JOURNAL OF ENERGY STORAGE,70.
|
| MLA |
Guo, Zengjia,et al."Modeling and optimization of liquid-based battery thermal management system considering battery electrochemical characteristics".JOURNAL OF ENERGY STORAGE 70(2023).
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| 条目包含的文件 | 条目无相关文件。 | |||||
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