IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v7y2014i11p7586-7601d42462.html
   My bibliography  Save this article

Three-Dimensional Modeling of the Thermal Behavior of a Lithium-Ion Battery Module for Hybrid Electric Vehicle Applications

Author

Listed:
  • Jaeshin Yi

    (Department of Energy Systems Research, Ajou University, Suwon 443-749, Korea)

  • Boram Koo

    (Department of Energy Systems Research, Ajou University, Suwon 443-749, Korea)

  • Chee Burm Shin

    (Department of Energy Systems Research, Ajou University, Suwon 443-749, Korea)

Abstract

This paper reports a modeling methodology to predict the effects of operating conditions on the thermal behavior of a lithium-ion battery (LIB) module. The potential and current density distributions on the electrodes of an LIB cell are predicted as a function of discharge time based on the principle of charge conservation. By using the modeling results of the potential and current density distributions of the LIB cell, the non-uniform distribution of the heat generation rate in a single LIB cell within the module is calculated. Based on the heat generation rate in the single LIB cell determined as a function of the position on the electrode and time, a three-dimensional thermal modeling of an LIB module is performed to calculate the three-dimensional velocity, pressure, and temperature distributions within the LIB module as a function of time at various operating conditions. Thermal modeling of an LIB module is validated by the comparison between the experimental measurements and the modeling results. The effect of the cooling condition of the LIB module on the temperature rise of the LIB cells within the module and the uniformity of the distribution of the cell temperatures are analyzed quantitatively based on the modeling results.

Suggested Citation

  • Jaeshin Yi & Boram Koo & Chee Burm Shin, 2014. "Three-Dimensional Modeling of the Thermal Behavior of a Lithium-Ion Battery Module for Hybrid Electric Vehicle Applications," Energies, MDPI, vol. 7(11), pages 1-16, November.
    • Handle: RePEc:gam:jeners:v:7:y:2014:i:11:p:7586-7601:d:42462
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/7/11/7586/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/7/11/7586/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nicholas Williard & Wei He & Christopher Hendricks & Michael Pecht, 2013. "Lessons Learned from the 787 Dreamliner Issue on Lithium-Ion Battery Reliability," Energies, MDPI, vol. 6(9), pages 1-14, September.
    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. Van-Thanh Ho & Kyoungsik Chang & Sang Wook Lee & Sung Han Kim, 2020. "Transient Thermal Analysis of a Li-Ion Battery Module for Electric Cars Based on Various Cooling Fan Arrangements," Energies, MDPI, vol. 13(9), pages 1-15, May.
    2. Wang, Shunli & Shang, Liping & Li, Zhanfeng & Deng, Hu & Li, Jianchao, 2016. "Online dynamic equalization adjustment of high-power lithium-ion battery packs based on the state of balance estimation," Applied Energy, Elsevier, vol. 166(C), pages 44-58.
    3. Jiangong Zhu & Zechang Sun & Xuezhe Wei & Haifeng Dai, 2017. "Battery Internal Temperature Estimation for LiFePO 4 Battery Based on Impedance Phase Shift under Operating Conditions," Energies, MDPI, vol. 10(1), pages 1-17, January.
    4. Kai Chen & Zeyu Li & Yiming Chen & Shuming Long & Junsheng Hou & Mengxuan Song & Shuangfeng Wang, 2017. "Design of Parallel Air-Cooled Battery Thermal Management System through Numerical Study," Energies, MDPI, vol. 10(10), pages 1-22, October.
    5. Zhichao He & Geng Yang & Languang Lu, 2016. "A Parameter Identification Method for Dynamics of Lithium Iron Phosphate Batteries Based on Step-Change Current Curves and Constant Current Curves," Energies, MDPI, vol. 9(6), pages 1-24, June.

    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. Suchandra Paul, 2018. "Crisis in Boeing 787 Dreamliner: An Investigation from Project Management Control Perspective," International Journal of Human Resource Studies, Macrothink Institute, vol. 8(4), pages 242251-2422, December.
    2. Jin, Changyong & Sun, Yuedong & Wang, Huaibin & Zheng, Yuejiu & Wang, Shuyu & Rui, Xinyu & Xu, Chengshan & Feng, Xuning & Wang, Hewu & Ouyang, Minggao, 2022. "Heating power and heating energy effect on the thermal runaway propagation characteristics of lithium-ion battery module: Experiments and modeling," Applied Energy, Elsevier, vol. 312(C).
    3. Yi Wu & Saurabh Saxena & Yinjiao Xing & Youren Wang & Chuan Li & Winco K. C. Yung & Michael Pecht, 2018. "Analysis of Manufacturing-Induced Defects and Structural Deformations in Lithium-Ion Batteries Using Computed Tomography," Energies, MDPI, vol. 11(4), pages 1-22, April.
    4. Jianxun Zhang & Xiao He & Xiaosheng Si & Changhua Hu & Donghua Zhou, 2017. "A Novel Multi-Phase Stochastic Model for Lithium-Ion Batteries’ Degradation with Regeneration Phenomena," Energies, MDPI, vol. 10(11), pages 1-24, October.
    5. Shengjin Tang & Chuanqiang Yu & Xue Wang & Xiaosong Guo & Xiaosheng Si, 2014. "Remaining Useful Life Prediction of Lithium-Ion Batteries Based on the Wiener Process with Measurement Error," Energies, MDPI, vol. 7(2), pages 1-28, January.
    6. Xingxing Wang & Yujie Zhang & Hongjun Ni & Shuaishuai Lv & Fubao Zhang & Yu Zhu & Yinnan Yuan & Yelin Deng, 2022. "Influence of Different Ambient Temperatures on the Discharge Performance of Square Ternary Lithium-Ion Batteries," Energies, MDPI, vol. 15(15), pages 1-22, July.
    7. Gandoman, Foad H. & Jaguemont, Joris & Goutam, Shovon & Gopalakrishnan, Rahul & Firouz, Yousef & Kalogiannis, Theodoros & Omar, Noshin & Van Mierlo, Joeri, 2019. "Concept of reliability and safety assessment of lithium-ion batteries in electric vehicles: Basics, progress, and challenges," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    8. Zhang, Caiping & Jiang, Yan & Jiang, Jiuchun & Cheng, Gong & Diao, Weiping & Zhang, Weige, 2017. "Study on battery pack consistency evolutions and equilibrium diagnosis for serial- connected lithium-ion batteries," Applied Energy, Elsevier, vol. 207(C), pages 510-519.
    9. Sivakumar, Senthilkumar, 2022. "A novel Integrated Risk Management Method for Airport operations," Journal of Air Transport Management, Elsevier, vol. 105(C).
    10. Feng, Xuning & Weng, Caihao & Ouyang, Minggao & Sun, Jing, 2016. "Online internal short circuit detection for a large format lithium ion battery," Applied Energy, Elsevier, vol. 161(C), pages 168-180.
    11. Bonnin Roca, Jaime & O'Sullivan, Eoin, 2022. "The role of regulators in mitigating uncertainty within the Valley of Death," Technovation, Elsevier, vol. 109(C).
    12. Shuai Wang & Lingling Zhao & Xiaohong Su & Peijun Ma, 2014. "Prognostics of Lithium-Ion Batteries Based on Battery Performance Analysis and Flexible Support Vector Regression," Energies, MDPI, vol. 7(10), pages 1-17, October.
    13. Victor Osvaldo Vega-Muratalla & César Ramírez-Márquez & Luis Fernando Lira-Barragán & José María Ponce-Ortega, 2024. "Review of Lithium as a Strategic Resource for Electric Vehicle Battery Production: Availability, Extraction, and Future Prospects," Resources, MDPI, vol. 13(11), pages 1-20, October.
    14. Yu Peng & Yandong Hou & Yuchen Song & Jingyue Pang & Datong Liu, 2018. "Lithium-Ion Battery Prognostics with Hybrid Gaussian Process Function Regression," Energies, MDPI, vol. 11(6), pages 1-20, June.
    15. Feng, Xuning & Lu, Languang & Ouyang, Minggao & Li, Jiangqiu & He, Xiangming, 2016. "A 3D thermal runaway propagation model for a large format lithium ion battery module," Energy, Elsevier, vol. 115(P1), pages 194-208.
    16. Bing Long & Xiangnan Li & Xiaoyu Gao & Zhen Liu, 2019. "Prognostics Comparison of Lithium-Ion Battery Based on the Shallow and Deep Neural Networks Model," Energies, MDPI, vol. 12(17), pages 1-13, August.
    17. Michael Bosello & Carlo Falcomer & Claudio Rossi & Giovanni Pau, 2023. "To Charge or to Sell? EV Pack Useful Life Estimation via LSTMs, CNNs, and Autoencoders," Energies, MDPI, vol. 16(6), pages 1-17, March.
    18. Mario Eduardo Carbonó dela Rosa & Graciela Velasco Herrera & Rocío Nava & Enrique Quiroga González & Rodolfo Sosa Echeverría & Pablo Sánchez Álvarez & Jaime Gandarilla Ibarra & Víctor Manuel Velasco H, 2023. "A New Methodology for Early Detection of Failures in Lithium-Ion Batteries," Energies, MDPI, vol. 16(3), pages 1-18, January.
    19. Zhang, Zhendong & Kong, Xiangdong & Zheng, Yuejiu & Zhou, Long & Lai, Xin, 2019. "Real-time diagnosis of micro-short circuit for Li-ion batteries utilizing low-pass filters," Energy, Elsevier, vol. 166(C), pages 1013-1024.
    20. Ye, Jiana & Chen, Haodong & Wang, Qingsong & Huang, Peifeng & Sun, Jinhua & Lo, Siuming, 2016. "Thermal behavior and failure mechanism of lithium ion cells during overcharge under adiabatic conditions," Applied Energy, Elsevier, vol. 182(C), pages 464-474.

    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:7:y:2014:i:11:p:7586-7601:d:42462. 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.