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An Electro-Thermal Model for LFP Cells: Calibration Procedure and Validation

Author

Listed:
  • Michele Barbieri

    (Department of Energy, Systems, Territory and Constructions, University of Pisa, 56126 Pisa, Italy)

  • Massimo Ceraolo

    (Department of Energy, Systems, Territory and Constructions, University of Pisa, 56126 Pisa, Italy)

  • Giovanni Lutzemberger

    (Department of Energy, Systems, Territory and Constructions, University of Pisa, 56126 Pisa, Italy)

  • Claudio Scarpelli

    (Department of Energy, Systems, Territory and Constructions, University of Pisa, 56126 Pisa, Italy)

Abstract

Lithium batteries for energy storage systems are a prominent solution for both stationary and mobile applications. Electro-thermal modelling of the cell is a useful tool for monitoring voltage and temperature in order to predict battery behaviour especially in cases of critical operative conditions. This paper provides a modelling approach focusing on the calibration of parameters of an electro-thermal model for large prismatic LFP lithium cells. The designed model is tuned by means of experimental tests that identify a set of parameters that are function of a cell’s state-of-charge and temperature. The model outputs are voltage, cell surface, and internal temperature profiles, which are validated against experimental data referring to realistic working conditions, even providing an intense level of thermal stress. The model accuracy is marked by a voltage mean average error lower than 1% and a mean cell surface temperature deviation lower than 1 K.

Suggested Citation

  • Michele Barbieri & Massimo Ceraolo & Giovanni Lutzemberger & Claudio Scarpelli, 2022. "An Electro-Thermal Model for LFP Cells: Calibration Procedure and Validation," Energies, MDPI, vol. 15(7), pages 1-14, April.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:7:p:2653-:d:787084
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    References listed on IDEAS

    as
    1. Jan Kleiner & Lidiya Komsiyska & Gordon Elger & Christian Endisch, 2019. "Thermal Modelling of a Prismatic Lithium-Ion Cell in a Battery Electric Vehicle Environment: Influences of the Experimental Validation Setup," Energies, MDPI, vol. 13(1), pages 1-18, December.
    2. Akash Samanta & Sheldon S. Williamson, 2021. "A Comprehensive Review of Lithium-Ion Cell Temperature Estimation Techniques Applicable to Health-Conscious Fast Charging and Smart Battery Management Systems," Energies, MDPI, vol. 14(18), pages 1-25, September.
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    Cited by:

    1. Xingxing Wang & Peilin Ye & Yujie Zhang & Hongjun Ni & Yelin Deng & Shuaishuai Lv & Yinnan Yuan & Yu Zhu, 2022. "Parameter Optimization Method for Power System of Medium-Sized Bus Based on Orthogonal Test," Energies, MDPI, vol. 15(19), pages 1-26, October.

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