| 储能锂离子电池包强制风冷系统热仿真分析与优化 |
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| 引用本文： | 吕 超,张 爽,朱世怀,宋彦孔,葛亚明.储能锂离子电池包强制风冷系统热仿真分析与优化[J].电力系统保护与控制,2021,49(12):48-55. |
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| 作者姓名： | 吕 超 张 爽 朱世怀 宋彦孔 葛亚明 |
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| 作者单位： | 哈尔滨工业大学电气工程及自动化学院,黑龙江 哈尔滨 150001;哈尔滨工业大学(深圳)机电工程与自动化学院,广东 深圳 518055;哈尔滨工业大学(深圳)实验与创新实践教育中心,广东 深圳 518055 |
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| 基金项目： | 广东省重点领域研发计划项目资助(2020B090919004) |
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| 摘 要： | 基于电化学-热耦合模型借助ANSYS Fluent平台对储能系统中的锂离子电池包进行仿真分析与结构优化。首先建立电池的热仿真模型,基于该模型利用ANSYSFluent仿真软件得到电池单体温度分布,并通过与实验测量的结果对比验证所建立的仿真模型的准确性。接着进行了电池包风冷系统的仿真分析,完成了对电池包温度分布和风道流速分布的求解。最后通过改变出风孔数量和风扇挡板形状改善了冷却系统的冷却效果。研究结果表明,基于电化学-热耦合模型对储能电池包的温度与内部流速分布的分析是可行的,对强制风冷系统的结构优化能够大幅度提高系统的散热性能,实现更低的最高温度与更均匀的温度分布。
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| 关 键 词： | 锂离子电池 热管理系统 仿真分析 ANSYS Fluent |
| 收稿时间： | 2020/12/31 0:00:00 |
| 修稿时间： | 2021/2/23 0:00:00 |
Thermal simulation analysis and optimization of forced air cooling system for energy
storage lithium-ion battery pack |
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| Affiliation: | 1. School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China; 2. School of
Mechanical Engineering and Automation, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China; 3. Education
Center of Experiments and Innovations, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China |
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| Abstract: | This paper uses the ANSYS Fluent platform to perform simulation analysis and structural optimization of a lithium-ion battery pack in an energy storage system based on an electrochemical-thermal coupling model. First, a thermal simulation model of the battery is established. With it, the temperature distribution of the battery cell is obtained. The accuracy of the established simulation model is verified by comparison with the experimental measurement results. Then the simulation analysis of the air cooling system of the battery pack is carried out, and the solution of the temperature distribution of the battery pack and the flow velocity distribution of the air duct is completed. Finally, the cooling effect of the cooling system is improved by changing the number of air outlets and the shape of the fan baffle. The results show that it is feasible to analyze the temperature and internal flow velocity distribution of energy storage battery packs based on the electrochemical-thermal coupling simulation model. The structural optimization of the forced air cooling system can greatly improve the heat dissipation performance of the system, and achieve a lower maximum temperature and a more uniform temperature distribution.
This work is supported by the Key Research and Development Program of Guangdong Province (No. 2020B090919004). |
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| Keywords: | lithium-ion battery thermal management system simulation analysis ANSYS Fluent |
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