IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i16p5962-d1216115.html
   My bibliography  Save this article

A J-Type Air-Cooled Battery Thermal Management System Design and Optimization Based on the Electro-Thermal Coupled Model

Author

Listed:
  • Hao Fan

    (School of Mechanical Engineering, Shijiazhuang Tiedao University, Shijiazhuang 050000, China)

  • Lan Wang

    (School of Mechanical Engineering, Shijiazhuang Tiedao University, Shijiazhuang 050000, China)

  • Wei Chen

    (School of Mechanical Engineering, Shijiazhuang Tiedao University, Shijiazhuang 050000, China)

  • Bin Liu

    (School of Mechanical Engineering, Shijiazhuang Tiedao University, Shijiazhuang 050000, China)

  • Pengxin Wang

    (School of Mechanical Engineering, Shijiazhuang Tiedao University, Shijiazhuang 050000, China)

Abstract

Air-cooled battery thermal management system (BTMS) is a widely adopted temperature control strategy for lithium-ion batteries. However, a battery pack with this type of BTMS typically suffers from high temperatures and large temperature differences (∆T). To address this issue, this study conducted an electro-thermal coupled model to optimize the flow channel structure for reducing the maximum temperature (T max ) and ∆T in a battery pack for a “J-type” air-cooled BTMS. The parameters required to predict battery heat generation were obtained from a single battery testing experiment. The flow and heat transfer model in a battery pack that had 24 18650 batteries was established by the Computational Fluid Dynamics software ANSYS Fluent 2020R2. The simulation results were validated by the measurement from the battery testing experiment. Using the proposed model, parameter analysis has been implemented. The flow channel structure was optimized in terms of the duct size, battery spacing, and battery arrangement for the air-cooled BTMS. The original BTMS was optimized to reduce T max and ∆T by 1.57 K and 0.80 K, respectively. This study may provide a valuable reference for designing air-cooled BTMS.

Suggested Citation

  • Hao Fan & Lan Wang & Wei Chen & Bin Liu & Pengxin Wang, 2023. "A J-Type Air-Cooled Battery Thermal Management System Design and Optimization Based on the Electro-Thermal Coupled Model," Energies, MDPI, vol. 16(16), pages 1-19, August.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:16:p:5962-:d:1216115
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/16/5962/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/16/5962/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Perez Estevez, Manuel Antonio & Calligaro, Sandro & Bottesi, Omar & Caligiuri, Carlo & Renzi, Massimiliano, 2021. "An electro-thermal model and its electrical parameters estimation procedure in a lithium-ion battery cell," Energy, Elsevier, vol. 234(C).
    2. Chen, Kai & Wu, Weixiong & Yuan, Fang & Chen, Lin & Wang, Shuangfeng, 2019. "Cooling efficiency improvement of air-cooled battery thermal management system through designing the flow pattern," Energy, Elsevier, vol. 167(C), pages 781-790.
    3. Liu, Yuanzhi & Zhang, Jie, 2020. "Self-adapting J-type air-based battery thermal management system via model predictive control," Applied Energy, Elsevier, vol. 263(C).
    4. Qiaohua Fang & Xuezhe Wei & Tianyi Lu & Haifeng Dai & Jiangong Zhu, 2019. "A State of Health Estimation Method for Lithium-Ion Batteries Based on Voltage Relaxation Model," Energies, MDPI, vol. 12(7), pages 1-18, April.
    5. Tingting Wang & Xin Liu & Dongchen Qin & Yuechen Duan, 2022. "Thermal Modeling and Prediction of The Lithium-ion Battery Based on Driving Behavior," Energies, MDPI, vol. 15(23), pages 1-22, November.
    6. Wenzhe Li & Youhang Zhou & Haonan Zhang & Xuan Tang, 2023. "A Review on Battery Thermal Management for New Energy Vehicles," Energies, MDPI, vol. 16(13), pages 1-20, June.
    7. Li, Dongdong & Yang, Lin & Li, Chun, 2021. "Control-oriented thermal-electrochemical modeling and validation of large size prismatic lithium battery for commercial applications," Energy, Elsevier, vol. 214(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. Robby Dwianto Widyantara & Muhammad Adnan Naufal & Poetro Lebdo Sambegoro & Ignatius Pulung Nurprasetio & Farid Triawan & Djati Wibowo Djamari & Asep Bayu Dani Nandiyanto & Bentang Arief Budiman & Muh, 2021. "Low-Cost Air-Cooling System Optimization on Battery Pack of Electric Vehicle," Energies, MDPI, vol. 14(23), pages 1-14, November.
    2. Wenzhe Li & Youhang Zhou & Haonan Zhang & Xuan Tang, 2023. "A Review on Battery Thermal Management for New Energy Vehicles," Energies, MDPI, vol. 16(13), pages 1-20, June.
    3. 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).
    4. Lu, Xin & Chen, Ning & Li, Hui & Guo, Shiyu & Chen, Zengtao, 2023. "Simulation of the temperature distribution of lithium-ion battery module considering the time-delay effect of the porous electrodes," Energy, Elsevier, vol. 284(C).
    5. 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).
    6. Shehzar Shahzad Sheikh & Mahnoor Anjum & Muhammad Abdullah Khan & Syed Ali Hassan & Hassan Abdullah Khalid & Adel Gastli & Lazhar Ben-Brahim, 2020. "A Battery Health Monitoring Method Using Machine Learning: A Data-Driven Approach," Energies, MDPI, vol. 13(14), pages 1-16, July.
    7. Liu, Jiahao & Fan, Yining & Wang, Jinhui & Tao, Changfa & Chen, Mingyi, 2022. "A model-scale experimental and theoretical study on a mineral oil-immersed battery cooling system," Renewable Energy, Elsevier, vol. 201(P1), pages 712-723.
    8. Zhou, Zhizuan & Wang, Dong & Peng, Yang & Li, Maoyu & Wang, Boxuan & Cao, Bei & Yang, Lizhong, 2022. "Experimental study on the thermal management performance of phase change material module for the large format prismatic lithium-ion battery," Energy, Elsevier, vol. 238(PC).
    9. Wang, Gongquan & Kong, Depeng & Ping, Ping & He, Xiaoqin & Lv, Hongpeng & Zhao, Hengle & Hong, Wanru, 2023. "Modeling venting behavior of lithium-ion batteries during thermal runaway propagation by coupling CFD and thermal resistance network," Applied Energy, Elsevier, vol. 334(C).
    10. Ko, Chi-Jyun & Chen, Kuo-Ching, 2024. "Using tens of seconds of relaxation voltage to estimate open circuit voltage and state of health of lithium ion batteries," Applied Energy, Elsevier, vol. 357(C).
    11. Nguyen, T.D. & Deng, J. & Robert, B. & Chen, W. & Siegmund, T., 2022. "Experimental investigation on cooling of prismatic battery cells through cell integrated features," Energy, Elsevier, vol. 244(PA).
    12. Al-Zareer, Maan & Dincer, Ibrahim & Rosen, Marc A., 2019. "Comparative assessment of new liquid-to-vapor type battery cooling systems," Energy, Elsevier, vol. 188(C).
    13. 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).
    14. Qaderi, Alireza & Veysi, Farzad, 2022. "Investigation of a water-NEPCM cooling thermal management system for cylindrical 18650 Li-ion batteries," Energy, Elsevier, vol. 244(PA).
    15. 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).
    16. 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).
    17. Fan Fei & Dong Wang, 2023. "Application of Neural Network Feedforward in Fuzzy PI Controller for Electric Vehicle Thermal Management System: Modeling and Simulation Studies," Energies, MDPI, vol. 17(1), pages 1-29, December.
    18. Yijun Li & Stéphane Roux & Cathy Castelain & Yilin Fan & Lingai Luo, 2023. "Design and Optimization of Heat Sinks for the Liquid Cooling of Electronics with Multiple Heat Sources: A Literature Review," Energies, MDPI, vol. 16(22), pages 1-26, November.
    19. Mina Naguib & Aashit Rathore & Nathan Emery & Shiva Ghasemi & Ryan Ahmed, 2023. "Robust Electro-Thermal Modeling of Lithium-Ion Batteries for Electrified Vehicles Applications," Energies, MDPI, vol. 16(16), pages 1-20, August.
    20. Chen, Yiming & Chen, Kai & Dong, Yuan & Wu, Xiaoling, 2022. "Bidirectional symmetrical parallel mini-channel cold plate for energy efficient cooling of large battery packs," Energy, Elsevier, vol. 242(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:jeners:v:16:y:2023:i:16:p:5962-:d:1216115. 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.