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Modeling and Simulation of the Thermal Runaway Behavior of Cylindrical Li-Ion Cells—Computing of Critical Parameters

Author

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  • Andreas Melcher

    (Institute for Applied Materials-Applied Materials Physics, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz-1, Eggenstein-Leopoldshafen 76344, Germany)

  • Carlos Ziebert

    (Institute for Applied Materials-Applied Materials Physics, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz-1, Eggenstein-Leopoldshafen 76344, Germany)

  • Magnus Rohde

    (Institute for Applied Materials-Applied Materials Physics, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz-1, Eggenstein-Leopoldshafen 76344, Germany)

  • Hans Jürgen Seifert

    (Institute for Applied Materials-Applied Materials Physics, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz-1, Eggenstein-Leopoldshafen 76344, Germany)

Abstract

The thermal behavior of Li-ion cells is an important safety issue and has to be known under varying thermal conditions. The main objective of this work is to gain a better understanding of the temperature increase within the cell considering different heat sources under specified working conditions. With respect to the governing physical parameters, the major aim is to find out under which thermal conditions a so called Thermal Runaway occurs. Therefore, a mathematical electrochemical-thermal model based on the Newman model has been extended with a simple combustion model from reaction kinetics including various types of heat sources assumed to be based on an Arrhenius law. This model was realized in COMSOL Multiphysics modeling software. First simulations were performed for a cylindrical 18650 cell with a L i C o O 2 -cathode to calculate the temperature increase under two simple electric load profiles and to compute critical system parameters. It has been found that the critical cell temperature T crit , above which a thermal runaway may occur is approximately 400 K , which is near the starting temperature of the decomposition of the Solid-Electrolyte-Interface in the anode at 393 . 15 K . Furthermore, it has been found that a thermal runaway can be described in three main stages.

Suggested Citation

  • Andreas Melcher & Carlos Ziebert & Magnus Rohde & Hans Jürgen Seifert, 2016. "Modeling and Simulation of the Thermal Runaway Behavior of Cylindrical Li-Ion Cells—Computing of Critical Parameters," Energies, MDPI, vol. 9(4), pages 1-19, April.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:4:p:292-:d:68365
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    References listed on IDEAS

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    1. Man Chen & Qiujuan Sun & Yongqi Li & Ke Wu & Bangjin Liu & Peng Peng & Qingsong Wang, 2015. "A Thermal Runaway Simulation on a Lithium Titanate Battery and the Battery Module," Energies, MDPI, vol. 8(1), pages 1-11, January.
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    Cited by:

    1. 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.
    2. Xiaogang Wu & Siyu Lv & Jizhong Chen, 2017. "Determination of the Optimum Heat Transfer Coefficient and Temperature Rise Analysis for a Lithium-Ion Battery under the Conditions of Harbin City Bus Driving Cycles," Energies, MDPI, vol. 10(11), pages 1-17, October.
    3. Ping, Ping & Wang, Qingsong & Chung, Youngmann & Wen, Jennifer, 2017. "Modelling electro-thermal response of lithium-ion batteries from normal to abuse conditions," Applied Energy, Elsevier, vol. 205(C), pages 1327-1344.
    4. Daniels, Rojo Kurian & Langeh, Harsh & Kumar, Vikas & Chouhan, Satyendra Singh & Prabhakar, Aneesh, 2024. "Faulty cell prediction accuracy comparison of machine learning algorithms using temperature sensor placement optimization approach in immersion cooled Li-ion battery modules," Applied Energy, Elsevier, vol. 367(C).

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