IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v12y2024i20p3261-d1501052.html
   My bibliography  Save this article

Electrochemical–Thermal Fluid Coupled Analysis and Statistical Analysis of Cooling System for Large Pouch Cells

Author

Listed:
  • Hamin Lee

    (Graduate School of Mechanical Engineering, Konkuk University, Seoul 05029, Republic of Korea)

  • Seokjun Park

    (Graduate School of Mechanical Engineering, Konkuk University, Seoul 05029, Republic of Korea)

  • Chang-Wan Kim

    (School of Mechanical Engineering, Konkuk University, Seoul 05029, Republic of Korea)

Abstract

In large-format pouch cells for electric vehicles, the issues of elevated and non-uniform temperatures resulting from heat generation are intensified, necessitating the use of liquid cooling systems. The design factors of the liquid cooling system influence the maximum temperature and temperature differences in the module as well as the pumping power of the cooling system. Although it is known that these design factors interact, research on these interactions and their effects is currently lacking. In this study, the individual as well as interaction effects of design factors on the performance of the liquid cooling system for a large-format pouch cell module were investigated using design of experiment and analyzed through statistical methods. Electrochemical–thermal fluid coupled analysis was used to calculate the performance according to the design factors of the liquid cooling system. The wall and channel widths are factors that directly determine the coolant flow velocity and cooling plate heat capacity, and they exhibited major effects on all three responses. Moreover, the influence of each design factor tended to change in response to variations in the other design factors. Thus, the effects of each factor individually and of interactions between factors were quantitatively compared and evaluated for significance. The width of the walls was found to contribute the most to the maximum temperature (36.00%) and pumping power (57.56%), while the width of the channels contributed the most to the temperature difference (38.24%), indicating that they are the main influencing factors.

Suggested Citation

  • Hamin Lee & Seokjun Park & Chang-Wan Kim, 2024. "Electrochemical–Thermal Fluid Coupled Analysis and Statistical Analysis of Cooling System for Large Pouch Cells," Mathematics, MDPI, vol. 12(20), pages 1-16, October.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:20:p:3261-:d:1501052
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/12/20/3261/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/12/20/3261/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ling, Ziye & Cao, Jiahao & Zhang, Wenbo & Zhang, Zhengguo & Fang, Xiaoming & Gao, Xuenong, 2018. "Compact liquid cooling strategy with phase change materials for Li-ion batteries optimized using response surface methodology," Applied Energy, Elsevier, vol. 228(C), pages 777-788.
    2. Román-Ramírez, L.A. & Marco, J., 2022. "Design of experiments applied to lithium-ion batteries: A literature review," Applied Energy, Elsevier, vol. 320(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. Nie, Binjian & She, Xiaohui & Du, Zheng & Xie, Chunping & Li, Yongliang & He, Zhubing & Ding, Yulong, 2019. "System performance and economic assessment of a thermal energy storage based air-conditioning unit for transport applications," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    2. Takyi-Aninakwa, Paul & Wang, Shunli & Zhang, Hongying & Yang, Xiao & Fernandez, Carlos, 2023. "A hybrid probabilistic correction model for the state of charge estimation of lithium-ion batteries considering dynamic currents and temperatures," Energy, Elsevier, vol. 273(C).
    3. Takyi-Aninakwa, Paul & Wang, Shunli & Zhang, Hongying & Yang, Xiaoyong & Fernandez, Carlos, 2022. "An optimized long short-term memory-weighted fading extended Kalman filtering model with wide temperature adaptation for the state of charge estimation of lithium-ion batteries," Applied Energy, Elsevier, vol. 326(C).
    4. Zareie, Zahra & Ahmadi, Rouhollah & Asadi, Mahdi, 2024. "A comprehensive numerical investigation of a branch-inspired channel in roll-bond type PVT system using design of experiments approach," Energy, Elsevier, vol. 286(C).
    5. 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).
    6. Hong Shi & Mengmeng Cheng & Yi Feng & Chenghui Qiu & Caiyue Song & Nenglin Yuan & Chuanzhi Kang & Kaijie Yang & Jie Yuan & Yonghao Li, 2023. "Thermal Management Techniques for Lithium-Ion Batteries Based on Phase Change Materials: A Systematic Review and Prospective Recommendations," Energies, MDPI, vol. 16(2), pages 1-23, January.
    7. Li, Jing & Zuo, Wei & E, Jiaqiang & Zhang, Yuntian & Li, Qingqing & Sun, Ke & Zhou, Kun & Zhang, Guangde, 2022. "Multi-objective optimization of mini U-channel cold plate with SiO2 nanofluid by RSM and NSGA-II," Energy, Elsevier, vol. 242(C).
    8. Cao, Jiahao & He, Yangjing & Feng, Jinxin & Lin, Shao & Ling, Ziye & Zhang, Zhengguo & Fang, Xiaoming, 2020. "Mini-channel cold plate with nano phase change material emulsion for Li-ion battery under high-rate discharge," Applied Energy, Elsevier, vol. 279(C).
    9. Behi, Hamidreza & Karimi, Danial & Jaguemont, Joris & Gandoman, Foad Heidari & Kalogiannis, Theodoros & Berecibar, Maitane & Van Mierlo, Joeri, 2021. "Novel thermal management methods to improve the performance of the Li-ion batteries in high discharge current applications," Energy, Elsevier, vol. 224(C).
    10. Mahesh Suresh Patil & Satyam Panchal & Namwon Kim & Moo-Yeon Lee, 2018. "Cooling Performance Characteristics of 20 Ah Lithium-Ion Pouch Cell with Cold Plates along Both Surfaces," Energies, MDPI, vol. 11(10), pages 1-19, September.
    11. Xu, Xinhai & Li, Wenzheng & Xu, Ben & Qin, Jiang, 2019. "Numerical study on a water cooling system for prismatic LiFePO4 batteries at abused operating conditions," Applied Energy, Elsevier, vol. 250(C), pages 404-412.
    12. 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).
    13. Saedpanah, Ehsan & Lahonian, Mansour & Malek Abad, Mahdi Zare, 2023. "Optimization of multi-source renewable energy air conditioning systems using a combination of transient simulation, response surface method, and 3E lifespan analysis," Energy, Elsevier, vol. 272(C).
    14. Chao Wang & Feng Yao & Juan Shi & Liangyu Wu & Mengchen Zhang, 2018. "Visualization Study on Thermo-Hydrodynamic Behaviors of a Flat Two-Phase Thermosyphon," Energies, MDPI, vol. 11(9), pages 1-13, August.
    15. Yetik, Ozge & Karakoc, Tahir Hikmet, 2020. "A numerical study on the thermal performance of prismatic li-ion batteries for hibrid electric aircraft," Energy, Elsevier, vol. 195(C).
    16. Aghabalazadeh, Mohammad & Neshat, Elaheh, 2024. "Proposal and optimization of a novel biomass-based tri-generation system using energy, exergy and exergoeconomic analyses and design of experiments method," Energy, Elsevier, vol. 288(C).
    17. Chongmao Mo & Guoqing Zhang & Xiaoqing Yang & Xihong Wu & Xinxi Li, 2022. "A Battery Thermal Management System Coupling High-Stable Phase Change Material Module with Internal Liquid Cooling," Energies, MDPI, vol. 15(16), pages 1-15, August.
    18. Huang, Zhiliang & Wang, Huaixing & Gan, Zhouwang & Yang, Tongguang & Yuan, Cong & Lei, Bing & Chen, Jie & Wu, Shengben, 2024. "An mechanical/thermal analytical model for prismatic lithium-ion cells with silicon‑carbon electrodes in charge/discharge cycles," Applied Energy, Elsevier, vol. 365(C).
    19. Lin, Shao & Ling, Ziye & Li, Suimin & Cai, Chuyue & Zhang, Zhengguo & Fang, Xiaoming, 2023. "Mitigation of lithium-ion battery thermal runaway and inhibition of thermal runaway propagation using inorganic salt hydrate with integrated latent heat and thermochemical storage," Energy, Elsevier, vol. 266(C).
    20. Luo, Guiling & Li, Xiaowei & Chen, Linlin & Gu, Jun & Huang, Yuhong & Sun, Jing & Liu, Haiyan & Chao, Yanhong & Zhu, Wenshuai & Liu, Zhichang, 2023. "Electrochemical recovery lithium from brine via taming surface wettability of regeneration spent batteries cathode materials," Applied Energy, Elsevier, vol. 337(C).

    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:jmathe:v:12:y:2024:i:20:p:3261-:d:1501052. 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.