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Lithium batteries are playing major roles in field of EVs, Renewable Integration in Smart grid and Robotics. Cell balancing is an essential procedure, especially for electric vehicles (EVs) where several cells are coupled in parallel or series arrangements. This cell’s state of charge, impedance, self-discharge rate, temperature, and capacity characteristics all vary slightly by nature. Cell balancing procedures are used to maximize EV battery pack’s performance, safety, and lifespan. Series-connected cells use a variety of external circuitry, such as resistor, capacitors, or active balancing circuits, to redistribute the surplus charge from cells with greater state-of-charge (SOC) to cells with lower SOC. An algorithm and monitoring system for battery management system (BMS) is proposed in this work to optimize cell balancing using MATLAB and the results obtained are discussed.

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Mitigating Cell-To-Cell Variation of Lithium Iron Phosphate Battery Packs

  • 会议论文

  • 发表日期：

    2025年

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  • S. Barath,
  • S. T. Kavin Kumar,
  • M. Lingeshvar,
  • S. Banumathi

摘要

Lithium batteries are playing major roles in field of EVs, Renewable Integration in Smart grid and Robotics. Cell balancing is an essential procedure, especially for electric vehicles (EVs) where several cells are coupled in parallel or series arrangements. This cell’s state of charge, impedance, self-discharge rate, temperature, and capacity characteristics all vary slightly by nature. Cell balancing procedures are used to maximize EV battery pack’s performance, safety, and lifespan. Series-connected cells use a variety of external circuitry, such as resistor, capacitors, or active balancing circuits, to redistribute the surplus charge from cells with greater state-of-charge (SOC) to cells with lower SOC. An algorithm and monitoring system for battery management system (BMS) is proposed in this work to optimize cell balancing using MATLAB and the results obtained are discussed.