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Integrated electro-thermal model for pouch lithium ion batteries

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  • Barcellona, Simone
  • Piegari, Luigi

Abstract

Lithium ion batteries are being used in an increasing number of applications. However, one of their major weaknesses is their sensitivity to temperature. Indeed, their safety and aging strongly depend on their temperature. In order to control cell temperatures, each cell in a battery pack is usually equipped with a thermal sensor. This paper proposes an integrated electro-thermal model that is capable of predicting the thermal behavior of a battery cell based only on its current and ambient conditions. The proposed model was tuned and validated by means of experimental results. The obtained precision is sufficient to predict the temperature of a battery with an acceptable accuracy considering the low complexity of the proposed model.

Suggested Citation

  • Barcellona, Simone & Piegari, Luigi, 2021. "Integrated electro-thermal model for pouch lithium ion batteries," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 183(C), pages 5-19.
    • Handle: RePEc:eee:matcom:v:183:y:2021:i:c:p:5-19
    DOI: 10.1016/j.matcom.2020.03.010
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    References listed on IDEAS

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    1. Simone Barcellona & Luigi Piegari, 2017. "Lithium Ion Battery Models and Parameter Identification Techniques," Energies, MDPI, vol. 10(12), pages 1-24, December.
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    Cited by:

    1. Huang, Zhiliang & Wang, Huaixing & Yang, Tongguang & Chen, Zeye & Li, Hangyang & Chen, Jie & Wu, Shengben, 2023. "An efficient multi-state evaluation approach for lithium-ion pouch cells under dynamic conditions in pressure/current/temperature," Applied Energy, Elsevier, vol. 340(C).
    2. Xie, Jiahang & Yang, Rufan & Gooi, Hoay Beng & Nguyen, Hung Dinh, 2023. "PID-based CNN-LSTM for accuracy-boosted virtual sensor in battery thermal management system," Applied Energy, Elsevier, vol. 331(C).

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