IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i3p484-d1573307.html

Computational Fluid Dynamic Modeling of Pack-Level Battery Thermal Management Systems in Electric Vehicles

Author

Listed:
  • Yifan Chen

    (Department of Mechanical Engineering, J. J. Lohr College of Engineering/Brookings, South Dakota State University, Brookings, SD 57007, USA)

  • Zhong Hu

    (Department of Mechanical Engineering, J. J. Lohr College of Engineering/Brookings, South Dakota State University, Brookings, SD 57007, USA)

Abstract

In electric vehicles (EVs), the batteries are arranged in the battery pack (BP), which has a small layout space and difficulty in dissipating heat. Therefore, in EVs, the battery thermal management systems (BTMSs) are critical to managing heat to ensure safety and performance, particularly under higher operating temperatures and longer discharge conditions. To solve this problem, in this article, the thermal analysis models of a 3-battery-cell BP were created, including scenarios (1) natural air cooling without a BTMS; (2) natural air cooling with water cooling hybrid BTMS; and (3) forced air cooling plus water cooling composite BTMS. The thermal performances of the pack-level BPs were simulated and analyzed based on computational fluid dynamics (CFD). A variety of boundary conditions and working parameters, such as ambient temperature, inlet coolant flow rate and initial temperature, discharge rate, air flow rate, and initial temperature, were considered. The results show that without a BTMS (Scenario 1), the maximum temperature in the BP rises rapidly and continuously to reach 63.8 °C, much higher than the upper bound of the recommended operating temperature range (ROTR between +20 °C to +35 °C) under the extreme discharge rate of 3 C and even if the discharge rate is 2 C. With a hybrid BTMS (Scenario 2), the maximum temperature in BP rises to about 38.7 °C, slightly above the upper bound of the ROTR. Lowering the coolant (water) initial temperature can effectively lower the temperature up to 5.7 °C in BP, but the water flow rate cannot since the turbulence model. While with a composite BTMS (Scenario 3), the temperature can be further lowered up to 1.5 °C under the extreme discharge rate of 3C, just reaching the upper bound of the ROTR. In addition, lowering the initial coolant temperature or air temperature can effectively decrease the temperatures up to 5.1 and 1.0 °C, respectively, in BP, but the coolant flow rate (due to the turbulence model) and the air flow rate cannot. Finally, the thermal performances of the different battery cells in the BP with different cooling systems and at the different positions of the BP were compared and analyzed. The present work may contribute to the design of BTMSs in the EV industry.

Suggested Citation

  • Yifan Chen & Zhong Hu, 2025. "Computational Fluid Dynamic Modeling of Pack-Level Battery Thermal Management Systems in Electric Vehicles," Energies, MDPI, vol. 18(3), pages 1-30, January.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:3:p:484-:d:1573307
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/3/484/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/18/3/484/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ping, Ping & Wang, Qingsong & Huang, Peifeng & Sun, Jinhua & Chen, Chunhua, 2014. "Thermal behaviour analysis of lithium-ion battery at elevated temperature using deconvolution method," Applied Energy, Elsevier, vol. 129(C), pages 261-273.
    2. Jixian Sun & Dan Dan & Mingshan Wei & Senlin Cai & Yihang Zhao & Edward Wright, 2023. "Pack-Level Modeling and Thermal Analysis of a Battery Thermal Management System with Phase Change Materials and Liquid Cooling," Energies, MDPI, vol. 16(15), pages 1-16, August.
    3. Wang, Tao & Tseng, K.J. & Zhao, Jiyun & Wei, Zhongbao, 2014. "Thermal investigation of lithium-ion battery module with different cell arrangement structures and forced air-cooling strategies," Applied Energy, Elsevier, vol. 134(C), pages 229-238.
    4. Zuo, Wei & Zhang, Yuntian & E, Jiaqiang & Li, Jing & Li, Qingqing & Zhang, Guangde, 2022. "Performance comparison between single S-channel and double S-channel cold plate for thermal management of a prismatic LiFePO4 battery," Renewable Energy, Elsevier, vol. 192(C), pages 46-57.
    5. Klein, M. & Tong, S. & Park, J.W., 2016. "In-plane nonuniform temperature effects on the performance of a large-format lithium-ion pouch cell," Applied Energy, Elsevier, vol. 165(C), pages 639-647.
    6. Zhang, Yuntian & Zuo, Wei & E, Jiaqiang & Li, Jing & Li, Qingqing & Sun, Ke & Zhou, Kun & Zhang, Guangde, 2022. "Performance comparison between straight channel cold plate and inclined channel cold plate for thermal management of a prismatic LiFePO4 battery," Energy, Elsevier, vol. 248(C).
    7. 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, Elsevier, vol. 371(C).
    8. Bizhong Xia & Yifan Liu & Rui Huang & Yadi Yang & Yongzhi Lai & Weiwei Zheng & Huawen Wang & Wei Wang & Mingwang Wang, 2019. "Thermal Analysis and Improvements of the Power Battery Pack with Liquid Cooling for Electric Vehicles," Energies, MDPI, vol. 12(16), pages 1-17, August.
    9. Jing Wang & Xuning Feng & Yongzheng Yu & Hai Huang & Mengting Zheng & Yunkai Xu & Junxiu Wu & Ying Yang & Jun Lu, 2024. "Rapid temperature-responsive thermal regulator for safety management of battery modules," Nature Energy, Nature, vol. 9(8), pages 939-946, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jiao, Juanjuan & Duan, Fei & Gong, Liang, 2025. "Multi-objective optimal design of hybrid liquid cooling system with manifold microchannels for data center server thermal management," Energy, Elsevier, vol. 337(C).
    2. Danijel Pavković & Mihael Cipek & Karlo Kvaternik & Nursultan Faiz & Alua Shambilova, 2025. "Enhancing Lithium Titanate Battery Charging: Investigating the Benefits of Open-Circuit Voltage Feedback," Energies, MDPI, vol. 18(15), pages 1-28, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Chengbin & Wang, Huijuan & Huang, Yongping & Zhang, Liangliang & Chen, Yongping, 2025. "Immersion liquid cooling for electronics: Materials, systems, applications and prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 208(C).
    2. Li, Li & Ling, Lei & Xie, Yajun & Zhou, Wencai & Wang, Tianbo & Zhang, Lanchun & Bei, Shaoyi & Zheng, Keqing & Xu, Qiang, 2023. "Comparative study of thermal management systems with different cooling structures for cylindrical battery modules: Side-cooling vs. terminal-cooling," Energy, Elsevier, vol. 274(C).
    3. Orhan Yalçınkaya & Ufuk Durmaz & Ahmet Ümit Tepe & Ali Cemal Benim & Ünal Uysal, 2024. "Heat and Flow Characteristics of Aerofoil-Shaped Fins on a Curved Target Surface in a Confined Channel for an Impinging Jet Array," Energies, MDPI, vol. 17(5), pages 1-21, March.
    4. Ćalasan, Martin & Abdel Aleem, Shady H.E. & Hasanien, Hany M. & Alaas, Zuhair M. & Ali, Ziad M., 2023. "An innovative approach for mathematical modeling and parameter estimation of PEM fuel cells based on iterative Lambert W function," Energy, Elsevier, vol. 264(C).
    5. Zuo, Wei & Li, Dexin & Li, Qingqing & Cheng, Qianju & Huang, Yuhan, 2024. "Effects of intermittent pulsating flow on the performance of multi-channel cold plate in electric vehicle lithium-ion battery pack," Energy, Elsevier, vol. 294(C).
    6. Cao, Qiang & Chen, Yuji & Wang, Zhiping & Wang, Miaomiao & Wang, Pengcheng & Ge, Lichun & Li, Peng & Zhao, Qinyu & Wang, Bo & Gan, Zhihua, 2025. "Improving the cooling efficiency of cryo-compressed hydrogen based on the temperature-distributed method in regenerative refrigerators," Energy, Elsevier, vol. 314(C).
    7. Shan, Shuai & Li, Li & Xu, Qiang & Ling, Lei & Xie, Yajun & Wang, Hongkang & Zheng, Keqing & Zhang, Lanchun & Bei, Shaoyi, 2023. "Numerical investigation of a compact and lightweight thermal management system with axially mounted cooling tubes for cylindrical lithium-ion battery module," Energy, Elsevier, vol. 274(C).
    8. Kumar, Vijay & Choudhary, Akhilesh Kumar, 2024. "Prediction of the Performance and emission characteristics of diesel engine using diphenylamine Antioxidant and ceria nanoparticle additives with biodiesel based on machine learning," Energy, Elsevier, vol. 301(C).
    9. Feng, Xuning & Weng, Caihao & Ouyang, Minggao & Sun, Jing, 2016. "Online internal short circuit detection for a large format lithium ion battery," Applied Energy, Elsevier, vol. 161(C), pages 168-180.
    10. Guo, Chao & Liu, Huan-ling & Guo, Qi & Shao, Xiao-dong & Zhu, Ming-liang, 2022. "Investigations on a novel cold plate achieved by topology optimization for lithium-ion batteries," Energy, Elsevier, vol. 261(PA).
    11. Liu, Binghe & Yin, Sha & Xu, Jun, 2016. "Integrated computation model of lithium-ion battery subject to nail penetration," Applied Energy, Elsevier, vol. 183(C), pages 278-289.
    12. Yang, Huizhu & Li, Mingxuan & Wang, Zehui & Ma, Binjian, 2023. "A compact and lightweight hybrid liquid cooling system coupling with Z-type cold plates and PCM composite for battery thermal management," Energy, Elsevier, vol. 263(PE).
    13. Li, Dexin & Zuo, Wei & Li, Qingqing & Zhang, Guangde & Zhou, Kun & E, Jiaqiang, 2023. "Effects of pulsating flow on the performance of multi-channel cold plate for thermal management of lithium-ion battery pack," Energy, Elsevier, vol. 273(C).
    14. Oh, Ki-Yong & Epureanu, Bogdan I., 2016. "Characterization and modeling of the thermal mechanics of lithium-ion battery cells," Applied Energy, Elsevier, vol. 178(C), pages 633-646.
    15. Zuo, Wei & Li, Dexin & Li, Qingqing & Cheng, Qianju & Zhou, Kun & E, Jiaqiang, 2023. "Multi-objective optimization of multi-channel cold plate under intermittent pulsating flow by RSM and NSGA-Ⅱ for thermal management of electric vehicle lithium-ion battery pack," Energy, Elsevier, vol. 283(C).
    16. Yan, Dongxiang & Lu, Languang & Li, Zhe & Feng, Xuning & Ouyang, Minggao & Jiang, Fachao, 2016. "Durability comparison of four different types of high-power batteries in HEV and their degradation mechanism analysis," Applied Energy, Elsevier, vol. 179(C), pages 1123-1130.
    17. Fu, Zhiao & Zuo, Wei & Li, Qingqing & Zhou, Kun & Huang, Yuhan & Li, Yawei, 2024. "Numerical investigations on liquid cooling plate partially filled with porous medium for thermal management of lithium-ion battery pack," Energy, Elsevier, vol. 313(C).
    18. Shi, Chenwei & Xu, Jun & Guo, Zhechen & Wang, Xingzao & Mei, Xuesong, 2025. "Passive flow rate regulation and unequally spaced channel based battery thermal management system," Energy, Elsevier, vol. 320(C).
    19. Wang, Ningbo & Wei, Zuyuan & Tian, Bo & Wang, Fei & Shao, Shuangquan, 2025. "Integrated cooling system with multiple operating modes for temperature control of energy storage containers: Experimental insights into energy saving potential," Energy, Elsevier, vol. 321(C).
    20. Zuo, Wei & Wang, Zijie & E, Jiaqiang & Li, Qingqing & Cheng, Qianju & Wu, Yinkun & Zhou, Kun, 2023. "Numerical investigations on the performance of a hydrogen-fueled micro planar combustor with tube outlet for thermophotovoltaic applications," Energy, Elsevier, vol. 263(PC).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:18:y:2025:i:3:p:484-:d:1573307. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.