电池箱风冷热管理系统流动传热特性的试验与数值研究

杨祖林; 孙文轩; 李明飞; 饶睦敏; 贺顺江; 陈伟

doi:10.19799/j.cnki.2095-4239.2026.0218

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电池箱风冷热管理系统流动传热特性的试验与数值研究

储能科学与技术 | 更新时间：2026-05-07

- 电池箱风冷热管理系统流动传热特性的试验与数值研究
- Flow and Heat Transfer in an Air-Cooled Battery Thermal Management System: Experiments and Simulations
- 储能科学与技术 2026年页码：1-12
- 作者机构：
  
  1.四川大学空天科学与工程学院，四川成都6100651
  2.广东能源集团科学技术研究院有限公司，广东广州 510630
- 作者简介：
  
  杨祖林（1999—），男，硕士研究生（在读），研究方向为电池热管理技术，E-mail：1587031869@qq.com.
  陈伟，教授，研究方向为能源动力领域的流动传热与冷却技术研究，E-mail： chenwei2017@scu.edu.cn。
- 基金信息：
  
  四川省自然科学基金(2026NSFSCZY0046)
- DOI：10.19799/j.cnki.2095-4239.2026.0218
  中图分类号： TK 02
- 收稿：2026-03-16，
  
  修回：2026-05-02，
  
  网络首发：2026-05-06，
- 稿件说明：
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杨祖林, 孙文轩, 李明飞, 等. 电池箱风冷热管理系统流动传热特性的试验与数值研究[J]. 储能科学与技术, XXXX, XX(XX): 1-12.

Yang Zulin, Sun Wenxuan, Li Mingfei, et al. Flow and Heat Transfer in an Air-Cooled Battery Thermal Management System: Experiments and Simulations[J]. Energy Storage Science and Technology, XXXX, XX(XX): 1-12.
杨祖林, 孙文轩, 李明飞, 等. 电池箱风冷热管理系统流动传热特性的试验与数值研究[J]. 储能科学与技术, XXXX, XX(XX): 1-12. DOI： 10.19799/j.cnki.2095-4239.2026.0218.

Yang Zulin, Sun Wenxuan, Li Mingfei, et al. Flow and Heat Transfer in an Air-Cooled Battery Thermal Management System: Experiments and Simulations[J]. Energy Storage Science and Technology, XXXX, XX(XX): 1-12. DOI： 10.19799/j.cnki.2095-4239.2026.0218.

摘要

在电池储能装置设计中，风冷是常用的结构简单、成本低廉的热管理方式。本文以大容量磷酸铁锂储能电池箱为对象，采用试验测量与数值计算相结合的方法，研究了电池充放电过程中风冷热管理系统的耦合流动传热特性，分析了风道布局和风冷流速对热管理系统流动传热特性的影响。研究结果表明：风道设计是影响换热性能的核心因素，风冷流道长度流向距离越短，热管理作用效果越好，其中，在风速5m/s时，短风道布局的方案二（电池横向排列+中部拓宽风道）较方案一（电池纵向布局+长直风道）电池均温低2℃左右，仅入口流通盲区存在局部温度积聚；风冷流速的调控作用同样显著，风冷流速增大可降低电池平均温度和电池间温差，但不改变各电池的温度分布形态，对于横向风道布局而言，当风冷流速增大时，各电池的温度均匀性有了大幅改善，这源于流道长度与风冷热沉的协同作用。本文明确了流道长度优化、入口布局设计及流速调控的核心优化方向，为大容量风冷式电池箱热管理系统的设计优化提供了理论支撑与工程参考，助力提升储能系统运行安全性与经济性。

Abstract

In the design of battery energy storage systems

air cooling is a commonly used thermal management method due to its simple structure and low cost. This study focuses on a large-capacity lithium iron phosphate (LFP) battery pack. Using a combined approach of experimental measurement and numerical simulation

the coupled flow and heat transfer characteristics of the air-cooling thermal management system during battery charging and discharging are investigated. The effects of air duct layout and cooling airflow velocity on the flow and heat transfer performance of the thermal management system are analyzed. The results show that duct design is the core factor affecting heat exchange performance. A shorter flow length along the duct direction leads to better thermal management. Specifically

at an airflow velocity of 5 m/s

the average battery temperature in Scheme 2 (transverse battery arrangement + a widened central duct) is approximately 2℃ lower than that in Scheme 1 (longitudinal battery arrangement + a straight duct)

with localized temperature accumulation only occurring in the flow blind zone near the inlet. The regulation of airflow velocity also plays a significant role. Increasing the airflow velocity reduces both the average battery temperature and the temperature difference between batteries

although it does not alter the temperature distribution pattern of individual batteries. For the transverse duct layout

an increase in airflow velocity greatly improves the temperature uniformity among batteries

which stems from the synergistic effect of duct length and cooling capacity. This study clarifies the core optimization directions: duct length optimization

inlet layout design

and flow velocity regulation. It provides theoretical support and engineering references for the design optimization of thermal management systems in large-capacity air-cooled battery packs

contributing to enhanced operational safety and economic efficiency of energy storage systems.

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references

VERMA S P, SARASWATI S. Numerical and experimental analysis of air-cooled Lithium-ion battery pack for the evaluation of the thermal performance enhancement. Journal of Energy Storage, 2023, 73(B): 10893. https://doi.org/10.1016/j.est.2023.108983

LUO X, WANG J H, DOONER M, CLARKE J. Overview of current development in electrical energy storage technologies and the application potential in power system operation. Applied Energy, 2015, 137: 511-536. https://doi.org/10.1016/j.apenergy.2014.09.081

FENG X N, OUYANG M G, LIU X, LU L G, XIA Y, HE X M. Thermal runaway mechanism of lithium ion battery for electric vehicles: A review. Energy Storage Materials, 2018, 10:246-267. https://doi.org/10.1016/j.ensm.2017.05.013

WANG M W, TENG S Y, XI H, LI Y Q. Cooling performance optimization of air-cooled battery thermal management system. Applied Thermal Engineering, 2021, 195: 117242. https://doi.org/10.1016/j.applthermaleng.2021.117242

SHI Y, AHMAD S, LIU H Q, LAU K T, ZHAO J Y. Optimization of air-cooling technology for LiFePO4 battery pack based on deep learning. Journal of Power Sources, 2021, 497: 229894. https://doi.org/10.1016/j.jpowsour.2021.229894

SAW L H, YE Y H, TAY A A.O., CHONG W T, KUAN S H, YEW M C. Computational fluid dynamic and thermal analysis of Lithium-ion battery pack with air cooling. Applied Energy, 2016, 177: 783-792, https://doi.org/10.1016/j.apenergy.2016.05.122

MAHAMUD R, PARK C. Reciprocating air flow for Li-ion battery thermal management to improve temperature uniformity[J]. Journal of Power Sources, 2011, 196(13): 5685-5696. https://doi.org/10.1016/j.jpowsour.2011.02.076

姜洋,龙曦,朱禹,等.风冷电池包风道设计与仿真优化分析[J].汽车工程师,2020,(05):27-30.

JIANG Y, LONG X, ZHU Y, et al. Simulation-Driven Optimization of Air Duct Design for Air-Cooled Battery Packs[J]. Automotive Engineer, 2020, (05):27-30.

董晨,魏学哲,戴海峰,等.车用电池包风道设计与仿真[J].机电一体化,2013,19(09):82-88.

DONG C,WEI X Z, DAI H F, et al. Design and Simulation of Air Ducts for Air-Cooled Automotive Battery Packs[J]. Mechatronics, 2013, 19(09):82-88.

王一凡,杨哩娜,牛钰森,等.多轴重载特种车的电池排布及散热研究[J].弹箭与制导学报,2025,45(04):466-473.

WANG Y F, YANG L N, NIU Y S, et al. Research on Battery Layout and Heat Dissipation for Multi-Axle Heavy-Duty Special Vehicles[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2025, 45(04):466-473.

ZHANG F R, YI M F, WANG P W, LIU C W. Optimization design for improving thermal performance of T-type air-cooled lithium-ion battery pack. Journal of Energy Storage, 2021, 44(B): 103464. https://doi.org/10.1016/j.est.2021.103464

HAO F, WANG L, CHEN W, LIU B, WANG P X. A J-Type Air-Cooled Battery Thermal Management System Design and Optimization Based on the Electro-Thermal Coupled Model. Energies, 2023, 16: 5962. https://doi.org/10.3390/en16165962

GOGOI B, DEKA H, SHARMA P, BARIK D, MEDHI B J, BORA B J, PARAMASIVAM P, AGBULUT Ü. Maximizing efficiency: exploring the crucial role of ducts in air-cooled lithium-ion battery thermal management. Journal of Thermal Analysis and Calorimetry, 2025, 150: 3121–3138. https://doi.org/10.1007/s10973-024-13883-1

王晓松, 游峰, 张敏吉, 孙洋州. 集装箱式储能系统数值仿真模拟与优化[J]. 储能科学与技术, 2016, 5(4): 577-582.

WANG X S, YOU F, ZHANG M J, SUN Y Z. Numerical Simulation and Optimization of Containerized Energy Storage Systems[J]. Energy Storage Science and Technology, 2016, 5(4):577-582.

BERNARDI D, PAWLIKOWSKI E, NEWMAN J. A general energy balance for battery systems. Journal of The Electrochemical. 1985; 132: 5–12. https://doi.org/10.1149/1.2113792

MENTER F R. Zonal Two Equation k-w Turbulence Models For Aerodynamic Flows. NASA STI/Recon Technical Report N, 1992; 93. https://doi.org/10.2514/6.1993-2906

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