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Identification of the Parameters of the Lithium-Ion Battery Used in Electric Vehicles for the SOC Estimation

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International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 714))

Abstract

With the development of new energy vehicle technology, lithium-ion batteries are an important component of energy storage systems used in various applications such as electric vehicles. Especially since this type of battery is the most used in the electric vehicle industry. The battery management systems used to control the state of the battery have been widely researched. The accuracy of the battery state is heavily reliant on the battery model parameters precision, and the accuracy of the estimate technique is directly proportional to the model used to characterize the batteries parameters. We apply a piecewise linear approximation with variable coefficients to express the intrinsically nonlinear link between the open-circuit voltage (VOC) and the battery's state of charge (SOC), while using a resistance–capacitance (RC)-equivalent circuit to simulate the battery dynamics. Both data from a simulated battery model and experimental data were used, to validate the moving window least squares parameter-identification algorithm.

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Authors and Affiliations

  1. Advanced Systems Engineering Laboratory, The National School of Applied Sciences, Ibn Tofail University, Kenitra, Morocco

    Nasri Elmehdi, Jarou Tarik & Salma Benchikh

  2. LPRI, SIA TEAM, EMSI, Tanger, Morocco

    Nabiha Saadi

Authors
  1. Nasri Elmehdi
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  2. Jarou Tarik
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  3. Salma Benchikh
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  4. Nabiha Saadi
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Corresponding author

Correspondence to Nasri Elmehdi .

Editor information

Editors and Affiliations

  1. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    Janusz Kacprzyk

  2. Abdelmalek Essaâdi University, Tangier, Morocco

    Mostafa Ezziyyani

  3. Department of Automatics and Applied Software, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

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Elmehdi, N., Tarik, J., Benchikh, S., Saadi, N. (2023). Identification of the Parameters of the Lithium-Ion Battery Used in Electric Vehicles for the SOC Estimation. In: Kacprzyk, J., Ezziyyani, M., Balas, V.E. (eds) International Conference on Advanced Intelligent Systems for Sustainable Development. AI2SD 2022. Lecture Notes in Networks and Systems, vol 714. Springer, Cham. https://doi.org/10.1007/978-3-031-35245-4_42

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