IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v330y2025ics0360544225025277.html

A high-efficiency immersion cooling system with integrated flow distribution plates for vehicle-scale high-energy-density battery modules

Author

Listed:
  • Jiang, Zekun
  • Xuan, Weicheng
  • Ma, Ruixin
  • Xu, Changtian
  • Yu, Binbin
  • Wang, Dandong
  • Shi, Junye
  • Chen, Jiangping

Abstract

Immersion cooling battery thermal management systems (BTMSs) have attracted increasing attention for their high thermal efficiency and significant potential for application in electric vehicles (EVs). In this study, to meet the extreme heat dissipation demands of a high-energy-density, vehicle-scale module during fast charging, an advanced immersion cooling architecture incorporating flow distribution plates (FDPs) was proposed. The target module comprises 48 high-nickel prismatic lithium-ion cells (175 Ah each), with a total capacity of 30.7 kWh. Under 3C charging conditions, the time-averaged volumetric heat generation rate of a battery cell during constant-current charging exceeds 177,000 W/m3. An experimentally validated numerical model was developed to assess thermal performance and guide structural optimization. Key design parameters—including FDP configuration, inlet/outlet orientation, flow direction, cell spacing, and dielectric fluid type—were systematically investigated. The optimized system, featuring chamber flow distribution plates (CFDPs), delivered the best performance, achieving an energy density of 242.94 Wh·kg−1. The optimal design reduced the temperature difference and pressure drop by 79.26 % and 13.43 %, respectively, while maintaining the same maximum temperature as the baseline. Moreover, at a coolant mass flow rate of 80 g s−1, the proposed system outperformed a conventional bottom cold plate BTMS, lowering the maximum temperature and temperature difference to 61.82 °C and 0.67 °C—corresponding to reductions of 18.07 % and 91.82 %, respectively. The pressure drop was also reduced by 79.91 %. This study provides a comprehensive design framework and practical reference for the development of high-performance immersion cooling BTMSs at the large-module or EV battery pack scale.

Suggested Citation

  • Jiang, Zekun & Xuan, Weicheng & Ma, Ruixin & Xu, Changtian & Yu, Binbin & Wang, Dandong & Shi, Junye & Chen, Jiangping, 2025. "A high-efficiency immersion cooling system with integrated flow distribution plates for vehicle-scale high-energy-density battery modules," Energy, Elsevier, vol. 330(C).
  • Handle: RePEc:eee:energy:v:330:y:2025:i:c:s0360544225025277
    DOI: 10.1016/j.energy.2025.136885
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544225025277
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2025.136885?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Alkhulaifi, Yousif M. & Qasem, Naef A.A. & Zubair, Syed M., 2022. "Exergoeconomic assessment of the ejector-based battery thermal management system for electric and hybrid-electric vehicles," Energy, Elsevier, vol. 245(C).
    2. Murali, G. & Sravya, G.S.N. & Jaya, J. & Naga Vamsi, V., 2021. "A review on hybrid thermal management of battery packs and it's cooling performance by enhanced PCM," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    3. Huang, Chu & Zhu, Haixi & Ma, Yinjie & E, Jiaqiang, 2023. "Evaluation of lithium battery immersion thermal management using a novel pentaerythritol ester coolant," Energy, Elsevier, vol. 284(C).
    4. Lionello, Michele & Rampazzo, Mirco & Beghi, Alessandro & Varagnolo, Damiano & Vesterlund, Mattias, 2020. "Graph-based modelling and simulation of liquid immersion cooling systems," Energy, Elsevier, vol. 207(C).
    5. Gao, Qiang & Lu, Yue & Liu, Xiangdong & Chen, Yongping, 2024. "A novel pulse liquid immersion cooling strategy for Lithium-ion battery pack," Energy, Elsevier, vol. 310(C).
    6. Chao-Yang Wang & Teng Liu & Xiao-Guang Yang & Shanhai Ge & Nathaniel V. Stanley & Eric S. Rountree & Yongjun Leng & Brian D. McCarthy, 2022. "Fast charging of energy-dense lithium-ion batteries," Nature, Nature, vol. 611(7936), pages 485-490, November.
    7. Lin, Xiang-Wei & Li, Yu-Bai & Wu, Wei-Tao & Zhou, Zhi-Fu & Chen, Bin, 2024. "Advances on two-phase heat transfer for lithium-ion battery thermal management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    8. Donglin Han & Yingjing Zhang & Cenling Huang & Shanyu Zheng & Dongyuan Wu & Qiang Li & Feihong Du & Hongxiao Duan & Weilin Chen & Junye Shi & Jiangping Chen & Gang Liu & Xin Chen & Xiaoshi Qian, 2024. "Self-oscillating polymeric refrigerator with high energy efficiency," Nature, Nature, vol. 629(8014), pages 1041-1046, May.
    9. Wu, Chunxia & Sun, Yalong & Tang, Heng & Zhang, Shiwei & Yuan, Wei & Zhu, Likuan & Tang, Yong, 2024. "A review on the liquid cooling thermal management system of lithium-ion batteries," Applied Energy, Elsevier, vol. 375(C).
    10. Choi, Hongseok & Jun, Yongjoo & Chun, Heechan & Lee, Hoseong, 2024. "Comprehensive feasibility study on metal foam use in single-phase immersion cooling for battery thermal management system," Applied Energy, Elsevier, vol. 375(C).
    11. Qiang Li & Luqi Wei & Ni Zhong & Xiaoming Shi & Donglin Han & Shanyu Zheng & Feihong Du & Junye Shi & Jiangping Chen & Houbing Huang & Chungang Duan & Xiaoshi Qian, 2024. "Low-k nano-dielectrics facilitate electric-field induced phase transition in high-k ferroelectric polymers for sustainable electrocaloric refrigeration," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    12. Dai, Hongsong & Yang, Chenxu & Zhang, Feng & Liao, Gaoliang & Zhang, Bolun & E, Jiaqiang, 2025. "Transient heat dissipation performance investigation on the battery thermal management system based on S-CO2 immersion cooling," Energy, Elsevier, vol. 318(C).
    13. Daniels, Rojo Kurian & Langeh, Harsh & Kumar, Vikas & Chouhan, Satyendra Singh & Prabhakar, Aneesh, 2024. "Faulty cell prediction accuracy comparison of machine learning algorithms using temperature sensor placement optimization approach in immersion cooled Li-ion battery modules," Applied Energy, Elsevier, vol. 367(C).
    14. Hwang, Foo Shen & Confrey, Thomas & Reidy, Colin & Picovici, Dorel & Callaghan, Dean & Culliton, David & Nolan, Cathal, 2024. "Review of battery thermal management systems in electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    15. Liu, Qian & Sun, Chen & Zhang, Jingshu & Shi, Qianlei & Li, Kaixuan & Yu, Boxu & Xu, Chao & Ju, Xing, 2023. "The electro-thermal equalization behaviors of battery modules with immersion cooling," Applied Energy, Elsevier, vol. 351(C).
    Full references (including those not matched with items on IDEAS)

    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. Bao, Rongqing & Wang, Zhaohui & Gao, Quanjie & Yang, Haonan & Zhang, Bowen & Chen, Si, 2025. "Dynamic-static composite immersion cooling for improving thermal equalization behavior in lithium-ion battery packs," Energy, Elsevier, vol. 330(C).
    2. Wang, Chuang & Liu, Qixing & Wang, Zhiqiang & Cheng, Xingxing, 2025. "A review of power battery cooling technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 213(C).
    3. Liu, Jiahao & Tao, Liyanyu & Yang, Qinyuan & Wang, Jinhui, 2026. "Recent advances in immersion cooling for thermal management of lithium-ion batteries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 226(PE).
    4. Xin, Zhicheng & Tang, Weiyu & Yao, Wen & Wu, Zan, 2025. "A review of thermal management of batteries with a focus on immersion cooling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 217(C).
    5. Suresh, C. & Awasthi, Abhishek & Kumar, Binit & Im, Seong-kyun & Jeon, Yongseok, 2025. "Advances in battery thermal management for electric vehicles: A comprehensive review of hybrid PCM-metal foam and immersion cooling technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 208(C).
    6. Wahab, Abdul & Najmi, Aezid-Ul-Hassan & Senobar, Hossein & Amjady, Nima & Kemper, Hans & Khayyam, Hamid, 2025. "Immersion cooling innovations and critical hurdles in Li-ion battery cooling for future electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 211(C).
    7. Li, Yuming & Wang, Tingyu & Li, Xinxi & Zhang, Guoqing & Chen, Kai & Yang, Wensheng, 2022. "Experimental investigation on thermal management system with flame retardant flexible phase change material for retired battery module," Applied Energy, Elsevier, vol. 327(C).
    8. Li, Jiaxing & Ou, Jingrong & Zeng, Shaohong & Chen, Long & Qiao, Yajun & Tan, Zijian & Li, Yubai & Wu, Weixiong, 2025. "Immersion cooling enabled thermal runaway prevention in overcharged batteries: Mechanisms and metrics," Applied Energy, Elsevier, vol. 401(PC).
    9. Zhu, Zehua & Zhang, Zhendong & Kuang, Zhiwei & Qin, Wenjin & Yin, Congbo, 2025. "Multi-objective optimization of immersion cooling system for large-capacity lithium-ion battery with collaborative thermal management structures," Energy, Elsevier, vol. 328(C).
    10. Wang, Zhangzhou & He, Yurong & Tang, Tianqi & Cheng, Gong, 2025. "Optimized thermal management and safety assurance with flame-retardant phase change materials for lithium-ion batteries," Energy, Elsevier, vol. 335(C).
    11. Liu, Qian & Shi, Qianlei & He, Kehan & He, Hao & Yu, Boxu & Ju, Xing & Zhu, Xiaoqing & Xu, Chao, 2025. "Experimental study on the effect of discharge modes and coolant types for single-phase immersion cooling of LiFePO4 batteries," Renewable Energy, Elsevier, vol. 243(C).
    12. Liu, Qian & Liu, Yingying & Zhang, Mingjie & Wang, Shuping & Li, Wenlong & Zhu, Xiaoqing & Ju, Xing & Xu, Chao & Wei, Bin, 2024. "Comprehensive investigation of the electro-thermal performance and heat transfer mechanism of battery system under forced flow immersion cooling," Energy, Elsevier, vol. 298(C).
    13. Huang, Yongping & Liu, Chendong & Zhong, Yangfan & Zhang, Chengbin, 2025. "Experimental study on jet-enhanced immersion liquid cooling for energy-efficient data centers," Energy, Elsevier, vol. 334(C).
    14. 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).
    15. Khoharo, Hafeez & Selvaraj, Jeyraj & Hasanuzzaman, M. & Kumar, Laveet & Manghwar, Roshan, 2025. "Global advancement, prospect and challenges of battery thermal management systems: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 222(C).
    16. Zhou, Yu & Liu, Yi & Zhang, Hanfei & Kou, Zihang & Sun, Yongkang & Zhao, Yanhua & Zhao, Luyao & Chen, Mingyi, 2025. "Aloe vera-inspired boron nitride/expanded graphite/melamine phosphate polymer composites for battery temperature management," Energy, Elsevier, vol. 336(C).
    17. Lin, Xiang-Wei & Zhou, Zhi-Fu & Li, Ming-Xuan & Zhan, Wei & Yuan, Qiang & Liu, Bo & Wen, Xian-Liang, 2024. "Exploration on the liquid-based energy storage battery system from system design, parametric optimization, and control strategy," Renewable Energy, Elsevier, vol. 237(PD).
    18. Najmi, Aezid-Ul-Hassan & Wahab, Abdul & Prakash, Rohith & Schopen, Oliver & Esch, Thomas & Shabani, Bahman, 2025. "Thermal management of fuel cell-battery electric vehicles: Challenges and solutions," Applied Energy, Elsevier, vol. 387(C).
    19. Wang, Yuan & Wang, Yutao & He, Tianbiao & Mao, Ning, 2024. "A numerical study on a hybrid battery thermal management system based on PCM and wavy microchannel liquid cooling," Renewable Energy, Elsevier, vol. 235(C).
    20. Sun, Shulei & Ma, Chunyu & Wang, Xiyu & Yang, Ye & Mei, Jun, 2024. "Design and optimisation of a novel serpentine flow channel with branch structure," Energy, Elsevier, vol. 293(C).

    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:eee:energy:v:330:y:2025:i:c:s0360544225025277. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.