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The wide use of lithium batteries in electric vehicles highlights the necessity for precise state estimation and effective temperature control to ensure safety and reliability. Thus, developing accurate battery models is crucial for optimizing Battery Management Systems (BMS) and enhancing battery performance and longevity. This paper introduces an Electro-thermal Equivalent Circuit Model (ET-ECM) tailored for Lithium-Ion batteries, focusing on efficient estimation, observation, and diagnosis. Additionally, it compares the effectiveness of Linear-State Observer and Sliding-Mode Observer for estimating State of Charge (SOC), core, and surface temperatures.

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Electro-thermal Equivalent Circuit Modeling and State of Charge Estimation of Lithium-Ion Batteries Using Recursive Least Square and Sliding-Mode Observers

  • 会议论文

  • 发表日期：

    2025年

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  • Houda Bouchareb,
  • Khadija Saqli,
  • Nacer-Kouider M’sirdi,
  • Mohammed Oudghiri Bentaie

摘要

The wide use of lithium batteries in electric vehicles highlights the necessity for precise state estimation and effective temperature control to ensure safety and reliability. Thus, developing accurate battery models is crucial for optimizing Battery Management Systems (BMS) and enhancing battery performance and longevity. This paper introduces an Electro-thermal Equivalent Circuit Model (ET-ECM) tailored for Lithium-Ion batteries, focusing on efficient estimation, observation, and diagnosis. Additionally, it compares the effectiveness of Linear-State Observer and Sliding-Mode Observer for estimating State of Charge (SOC), core, and surface temperatures.