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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
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    References listed on IDEAS

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    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.
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    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.

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