IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i6p2284-d776001.html
   My bibliography  Save this article

An Electrothermal Model to Predict Thermal Characteristics of Lithium-Ion Battery under Overcharge Condition

Author

Listed:
  • Charles Mohamed Hamisi

    (The Joint Graduate School of Energy and Environment (JGSEE), King Mongkut’s University of Technology Thonburi (KMUTT), Bang Mod, Thung Kru, Bangkok 10140, Thailand
    Mobility & Vehicle Technology Research Center (MOVE), King Mongkut’s University of Technology Thonburi (KMUTT), Bang Mod, Thung Kru, Bangkok 10140, Thailand)

  • Pius Victor Chombo

    (The Joint Graduate School of Energy and Environment (JGSEE), King Mongkut’s University of Technology Thonburi (KMUTT), Bang Mod, Thung Kru, Bangkok 10140, Thailand
    Mobility & Vehicle Technology Research Center (MOVE), King Mongkut’s University of Technology Thonburi (KMUTT), Bang Mod, Thung Kru, Bangkok 10140, Thailand)

  • Yossapong Laoonual

    (Mobility & Vehicle Technology Research Center (MOVE), King Mongkut’s University of Technology Thonburi (KMUTT), Bang Mod, Thung Kru, Bangkok 10140, Thailand
    Department of Mechanical Engineering, Faculty of Engineering, King Mongkut’s University of Technology Thonburi (KMUTT), Bang Mod, Thung Kru, Bangkok 10140, Thailand)

  • Somchai Wongwises

    (Department of Mechanical Engineering, Faculty of Engineering, King Mongkut’s University of Technology Thonburi (KMUTT), Bang Mod, Thung Kru, Bangkok 10140, Thailand
    National Science and Technology Development Agency (NSTDA), Pathum Thani 12120, Thailand)

Abstract

Understanding the thermal characteristics of lithium-ion batteries (LIBs) under various operating situations is critical for improving battery safety. Although the application of LIBs in the real world is mostly transient, many previous models consider the phenomenon of the constant state. This study examines thermal behavior by developing a 2D electrothermal model to predict the thermal behavior of LIBs with overcharge abuse in high thermal conditions. The 18,650 cylindrical LiCoO 2 graphite is investigated in a thermally controlled chamber at 35, 50, and 60 °C with a K-type thermocouple mounted on the LIB surface under charging rates of 1C, 2C, and 3C to acquire quantitative data regarding the thermal response of LIBs. Maximum critical temperatures are found at 62.6 to 78.9 °C, 66.4 to 83.5 °C, and 72.1 to 86.6 °C at 1C, 2C, and 3C, respectively. Comparing simulation analysis and experimental conditions, the highest relative error of 1.71% was obtained. It was found that relative errors increase as the charging rate increases. Moreover, increasing the charging current and surrounding temperature significantly increases the battery’s surface temperature. Furthermore, battery heat distribution appears almost uniform and tends to increase towards the positive terminal because cathode material is highly resistant. In addition, increasing the LIB heat transfer coefficient could positively improve the battery performance by eventually curbing the rise in battery temperature and reducing non-uniformity.

Suggested Citation

  • Charles Mohamed Hamisi & Pius Victor Chombo & Yossapong Laoonual & Somchai Wongwises, 2022. "An Electrothermal Model to Predict Thermal Characteristics of Lithium-Ion Battery under Overcharge Condition," Energies, MDPI, vol. 15(6), pages 1-16, March.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:6:p:2284-:d:776001
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/6/2284/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/6/2284/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pius Victor Chombo & Yossapong Laoonual & Somchai Wongwises, 2021. "Lessons from the Electric Vehicle Crashworthiness Leading to Battery Fire," Energies, MDPI, vol. 14(16), pages 1-21, August.
    2. Li, Junqiu & Sun, Danni & Jin, Xin & Shi, Wentong & Sun, Chao, 2019. "Lithium-ion battery overcharging thermal characteristics analysis and an impedance-based electro-thermal coupled model simulation," Applied Energy, Elsevier, vol. 254(C).
    3. Zhu, Xiaoqing & Wang, Zhenpo & Wang, Yituo & Wang, Hsin & Wang, Cong & Tong, Lei & Yi, Mi, 2019. "Overcharge investigation of large format lithium-ion pouch cells with Li(Ni0.6Co0.2Mn0.2)O2 cathode for electric vehicles: Thermal runaway features and safety management method," Energy, Elsevier, vol. 169(C), pages 868-880.
    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. Li, Xiaoyu & Zhang, Zuguang & Wang, Wenhui & Tian, Yong & Li, Dong & Tian, Jindong, 2020. "Multiphysical field measurement and fusion for battery electric-thermal-contour performance analysis," Applied Energy, Elsevier, vol. 262(C).
    2. Qin, Yudi & Du, Jiuyu & Lu, Languang & Gao, Ming & Haase, Frank & Li, Jianqiu & Ouyang, Minggao, 2020. "A rapid lithium-ion battery heating method based on bidirectional pulsed current: Heating effect and impact on battery life," Applied Energy, Elsevier, vol. 280(C).
    3. E, Jiaqiang & Xiao, Hanxu & Tian, Sicheng & Huang, Yuxin, 2024. "A comprehensive review on thermal runaway model of a lithium-ion battery: Mechanism, thermal, mechanical, propagation, gas venting and combustion," Renewable Energy, Elsevier, vol. 229(C).
    4. Hou, Liubin & Dong, Ao & Ma, Ruifei & Lin, Hejie & Deng, Yelin, 2024. "The sensitive detection of the early-stage internal short circuit triggered by lithium plating through the simplified electrochemical model at various working conditions," Energy, Elsevier, vol. 304(C).
    5. Chen, Mingyi & Yu, Yue & Ouyang, Dongxu & Weng, Jingwen & Zhao, Luyao & Wang, Jian & Chen, Yin, 2024. "Research progress of enhancing battery safety with phase change materials," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    6. Lingyu Meng & Guofa Wang & Khay Wai See & Yunpeng Wang & Yong Zhang & Caiyun Zang & Rulin Zhou & Bin Xie, 2022. "Large-Scale Li-Ion Battery Research and Application in Mining Industry," Energies, MDPI, vol. 15(11), pages 1-31, May.
    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. Wang, Cong-jie & Zhu, Yan-li & Gao, Fei & Bu, Xin-ya & Chen, Heng-shuai & Quan, Ting & Xu, Yi-bo & Jiao, Qing-jie, 2022. "Internal short circuit and thermal runaway evolution mechanism of fresh and retired lithium-ion batteries with LiFePO4 cathode during overcharge," Applied Energy, Elsevier, vol. 328(C).
    9. Zhang, Liwen & Zhao, Peng & Xu, Meng & Wang, Xia, 2020. "Computational identification of the safety regime of Li-ion battery thermal runaway," Applied Energy, Elsevier, vol. 261(C).
    10. Liu, Yanhui & Zhang, Lei & Ding, Yifei & Huang, Xianjia & Huang, Xinyan, 2024. "Effect of thermal impact on the onset and propagation of thermal runaway over cylindrical Li-ion batteries," Renewable Energy, Elsevier, vol. 222(C).
    11. Li, Kangqun & Zhou, Fei & Chen, Xing & Yang, Wen & Shen, Junjie & Song, Zebin, 2023. "State-of-charge estimation combination algorithm for lithium-ion batteries with Frobenius-norm-based QR decomposition modified adaptive cubature Kalman filter and H-infinity filter based on electro-th," Energy, Elsevier, vol. 263(PC).
    12. He, Tengfei & Zhang, Teng & Wang, Zhirong & Cai, Qiong, 2022. "A comprehensive numerical study on electrochemical-thermal models of a cylindrical lithium-ion battery during discharge process," Applied Energy, Elsevier, vol. 313(C).
    13. Sun, Zhenyu & Han, Yang & Wang, Zhenpo & Chen, Yong & Liu, Peng & Qin, Zian & Zhang, Zhaosheng & Wu, Zhiqiang & Song, Chunbao, 2022. "Detection of voltage fault in the battery system of electric vehicles using statistical analysis," Applied Energy, Elsevier, vol. 307(C).
    14. Li, Junqiu & Sun, Danni & Jin, Xin & Shi, Wentong & Sun, Chao, 2019. "Lithium-ion battery overcharging thermal characteristics analysis and an impedance-based electro-thermal coupled model simulation," Applied Energy, Elsevier, vol. 254(C).
    15. Jie, Deng & Baohui, Chen & Jiazheng, Lu & Tiannian, Zhou & Chuanping, Wu, 2024. "Thermal runaway and combustion characteristics, risk and hazard evaluation of lithium‑iron phosphate battery under different thermal runaway triggering modes," Applied Energy, Elsevier, vol. 368(C).
    16. Yulu Han & Yongmin Zhao & Anjie Ming & Yanyan Fang & Sheng Fang & Shansong Bi & Jiezhi Chen & Ran Xu & Feng Wei & Changhui Mao, 2023. "Application of an NDIR Sensor System Developed for Early Thermal Runaway Warning of Automotive Batteries," Energies, MDPI, vol. 16(9), pages 1-13, April.
    17. Xiong, Ruoyu & Zhang, Tengfang & Huang, Tianlun & Li, Maoyuan & Zhang, Yun & Zhou, Huamin, 2020. "Improvement of electrochemical homogeneity for lithium-ion batteries enabled by a conjoined-electrode structure," Applied Energy, Elsevier, vol. 270(C).
    18. Md Junaed Al Hossain & Md. Zakir Hasan & Md Hasanuzzaman & Md. Ziaur Rahman Khan & Mohammad Ahsan Habib, 2022. "Affordable Electric Three-Wheeler in Bangladesh: Prospects, Challenges, and Sustainable Solutions," Sustainability, MDPI, vol. 15(1), pages 1-26, December.
    19. Liu, Fen & Wang, Jianfeng & Yang, Na & Wang, Fuqiang & Chen, Yaping & Lu, Dongchen & Liu, Hui & Du, Qian & Ren, Xutong & Shi, Mengyu, 2022. "Experimental study on the alleviation of thermal runaway propagation from an overcharged lithium-ion battery module using different thermal insulation layers," Energy, Elsevier, vol. 257(C).
    20. Jiang, Lulu & Deng, Zhongwei & Tang, Xiaolin & Hu, Lin & Lin, Xianke & Hu, Xiaosong, 2021. "Data-driven fault diagnosis and thermal runaway warning for battery packs using real-world vehicle data," Energy, Elsevier, vol. 234(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:15:y:2022:i:6:p:2284-:d:776001. 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.