IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i9p5541-d808821.html

Analysis of Heat Dissipation Performance of Battery Liquid Cooling Plate Based on Bionic Structure

Author

Listed:
  • Bo Li

    (Automotive and Transportation Engineering, Jiangsu University of Technology, Changzhou 213001, China)

  • Wenhao Wang

    (Automotive and Transportation Engineering, Jiangsu University of Technology, Changzhou 213001, China)

  • Shaoyi Bei

    (Automotive and Transportation Engineering, Jiangsu University of Technology, Changzhou 213001, China)

  • Zhengqiang Quan

    (Automotive and Transportation Engineering, Jiangsu University of Technology, Changzhou 213001, China)

Abstract

To provide a favorable temperature for a power battery liquid cooling system, a bionic blood vessel structure of the power battery liquid cooling plate is designed based on the knowledge of bionics and the human blood vessel model. For three different discharge rates of 1C, 2C, and 3C, FLUENT is used to simulate and analyze the heat dissipation performance of the liquid cooling plate with a bionic vascular structure. The influence of the pipe distance ( A1 and A2 ) at the coolant outlet, the thickness of the liquid cooling plate, the inner pipe turning radius R of the pipe in the channel, and the mass flow of coolant on the heat dissipation performance are studied. The results show that the pipe distance ( A1 and A2 ), plate thickness, and inner pipe turning radius R have significant effects on the heat dissipation of the liquid cooling plate, especially under a 3C discharge. In addition, the channel area at the coolant outlet also has great influence on the heat dissipation performance of the liquid cooling plate, and the variable width optimization of the channel area at the outlet greatly improves the heat dissipation performance of the liquid cooling plate. Increasing the inlet mass flow rate can improve the heat dissipation capacity, but at the expense of a pressure drop. A verification experiment is designed for 3C discharge. The results show that the error between the experiment and simulation results is within 9.8%; therefore, the simulation is accurate, and the liquid cooling plate has a significant heat dissipation effect.

Suggested Citation

  • Bo Li & Wenhao Wang & Shaoyi Bei & Zhengqiang Quan, 2022. "Analysis of Heat Dissipation Performance of Battery Liquid Cooling Plate Based on Bionic Structure," Sustainability, MDPI, vol. 14(9), pages 1-16, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:5541-:d:808821
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/9/5541/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/9/5541/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chuan-Wei Zhang & Shang-Rui Chen & Huai-Bin Gao & Ke-Jun Xu & Zhan Xia & Shuai-Tian Li, 2019. "Study of Thermal Management System Using Composite Phase Change Materials and Thermoelectric Cooling Sheet for Power Battery Pack," Energies, MDPI, vol. 12(10), pages 1-14, May.
    2. Wei, Zhongbao & Zhao, Jiyun & Xiong, Binyu, 2014. "Dynamic electro-thermal modeling of all-vanadium redox flow battery with forced cooling strategies," Applied Energy, Elsevier, vol. 135(C), pages 1-10.
    3. Fengyan Yi & Dagang Lu & Xingmao Wang & Chaofeng Pan & Yuanxue Tao & Jiaming Zhou & Changli Zhao, 2022. "Energy Management Strategy for Hybrid Energy Storage Electric Vehicles Based on Pontryagin’s Minimum Principle Considering Battery Degradation," Sustainability, MDPI, vol. 14(3), pages 1-17, January.
    4. Zhao, Rui & Gu, Junjie & Liu, Jie, 2017. "Optimization of a phase change material based internal cooling system for cylindrical Li-ion battery pack and a hybrid cooling design," Energy, Elsevier, vol. 135(C), pages 811-822.
    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. Hongkai Liu & Chentong Shi & Chenghao Liu & Wei Chang, 2025. "A Review of Lithium-Ion Battery Thermal Management Based on Liquid Cooling and Its Evaluation Method," Energies, MDPI, vol. 18(17), pages 1-27, August.
    2. Ya Wang & Fengbin Li & Feng Cao & Shaozhong Liang & Jian Fu, 2025. "Study on Flow and Heat Transfer Characteristics of Battery Thermal Management System with Supercritical CO 2 for Energy Storage Stations," Energies, MDPI, vol. 18(8), pages 1-18, April.
    3. Junhao Dong & Xipo Lu & Yang Sun & Vladislav Mitin & Huaping Xu & Wei Kong, 2022. "Design of Battery Thermal Management System with Considering the Longitudinal and Transverse Temperature Difference," Energies, MDPI, vol. 15(19), pages 1-13, October.

    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. Mohammed, Abubakar Gambo & Elfeky, Karem Elsayed & Wang, Qiuwang, 2022. "Recent advancement and enhanced battery performance using phase change materials based hybrid battery thermal management for electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    2. Shu-Ling Huang & Chi-Ping Li & Chia-Chin Chang & Chen-Chen Tseng & Ming-Wei Wang & Mei-Ling Chen, 2020. "Real-Time Monitoring of the Thermal Effect for the Redox Flow Battery by an Infrared Thermal Imaging Technology," Energies, MDPI, vol. 13(24), pages 1-19, December.
    3. Jiaming Zhou & Chunxiao Feng & Qingqing Su & Shangfeng Jiang & Zhixian Fan & Jiageng Ruan & Shikai Sun & Leli Hu, 2022. "The Multi-Objective Optimization of Powertrain Design and Energy Management Strategy for Fuel Cell–Battery Electric Vehicle," Sustainability, MDPI, vol. 14(10), pages 1-19, May.
    4. Wei, Zhongbao & Zhao, Jiyun & Ji, Dongxu & Tseng, King Jet, 2017. "A multi-timescale estimator for battery state of charge and capacity dual estimation based on an online identified model," Applied Energy, Elsevier, vol. 204(C), pages 1264-1274.
    5. Gharehghani, Ayat & Rabiei, Moeed & Mehranfar, Sadegh & Saeedipour, Soheil & Mahmoudzadeh Andwari, Amin & García, Antonio & Reche, Carlos Mico, 2024. "Progress in battery thermal management systems technologies for electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 202(C).
    6. 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).
    7. Ghadim, H. Benisi & Godin, A. & Veillere, A. & Duquesne, M. & Haillot, D., 2025. "Review of thermal management of electronics and phase change materials," Renewable and Sustainable Energy Reviews, Elsevier, vol. 208(C).
    8. Wei, Zhongbao & Lim, Tuti Mariana & Skyllas-Kazacos, Maria & Wai, Nyunt & Tseng, King Jet, 2016. "Online state of charge and model parameter co-estimation based on a novel multi-timescale estimator for vanadium redox flow battery," Applied Energy, Elsevier, vol. 172(C), pages 169-179.
    9. Nie, Zhigen & Feng, Yaxing & Lian, Yufeng, 2025. "Deep reinforcement learning-based hierarchical control strategy for energy management of intelligent fuel cell hybrid electric vehicles," Energy, Elsevier, vol. 326(C).
    10. Ivan Kuzmin & Alexey Loskutov & Evgeny Osetrov & Andrey Kurkin, 2022. "Source for Autonomous Power Supply System Based on Flow Battery," Energies, MDPI, vol. 15(9), pages 1-15, April.
    11. Nie, Binjian & Zou, Boyang & She, Xiaohui & Zhang, Tongtong & Li, Yongliang & Ding, Yulong, 2020. "Development of a heat transfer coefficient based design method of a thermal energy storage device for transport air-conditioning applications," Energy, Elsevier, vol. 196(C).
    12. 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).
    13. Zichen, Wang & Changqing, Du, 2021. "A comprehensive review on thermal management systems for power lithium-ion batteries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    14. Zhang, Jiangyun & Shao, Dan & Jiang, Liqin & Zhang, Guoqing & Wu, Hongwei & Day, Rodney & Jiang, Wenzhao, 2022. "Advanced thermal management system driven by phase change materials for power lithium-ion batteries: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    15. Zhiming Zhang & Sai Wu & Huimin Miao & Tong Zhang, 2022. "Numerical Investigation of Flow Channel Design and Tapered Slope Effects on PEM Fuel Cell Performance," Sustainability, MDPI, vol. 14(18), pages 1-15, September.
    16. Ardani, M.I. & Patel, Y. & Siddiq, A. & Offer, G.J. & Martinez-Botas, R.F., 2018. "Combined experimental and numerical evaluation of the differences between convective and conductive thermal control on the performance of a lithium ion cell," Energy, Elsevier, vol. 144(C), pages 81-97.
    17. Shen, Zu-Guo & Chen, Shuai & Liu, Xun & Chen, Ben, 2021. "A review on thermal management performance enhancement of phase change materials for vehicle lithium-ion batteries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    18. Zha, Yunfei & Meng, Xianfeng & Qin, Shuaishuai & Hou, Nairen & He, Shunquan & Huang, Caiyuan & Zuo, Hongyan & Zhao, Xiaohuan, 2023. "Performance evaluation with orthogonal experiment method of drop contact heat dissipation effects on electric vehicle lithium-ion battery," Energy, Elsevier, vol. 271(C).
    19. Wang, Yichun & Zhang, Yuanzhi & Zhang, Caizhi & Zhou, Jiaming & Hu, Donghai & Yi, Fengyan & Fan, Zhixian & Zeng, Tao, 2023. "Genetic algorithm-based fuzzy optimization of energy management strategy for fuel cell vehicles considering driving cycles recognition," Energy, Elsevier, vol. 263(PF).
    20. Lee, Seunghoon & Lee, Hyoseong & Jun, Yong Joo & Lee, Hoseong, 2024. "Hybrid battery thermal management system coupled with paraffin/copper foam composite phase change material," Applied Energy, Elsevier, vol. 353(PA).

    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:jsusta:v:14:y:2022:i:9:p:5541-:d:808821. 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.