Nowadays, the electric vehicle-based automotive industry is moving toward various techniques to improve the performance of the electric battery. The battery management system (BMS) is one of the techniques which is mostly preferred to improve battery performance. Cell balancing system is among the crucial parts of the management system, which is required for accurate monitoring of each cell’s voltage as well as timely identification of any voltage imbalances. Different techniques are used for cell balancing, such as passive and active balancing. In this study, an active cell balancing mechanism is presented, which consists of an inductor-based lithium-ion battery for electrical vehicles (EV). In this paper, a DC/DC bidirectional converter is utilized to analyze the effect of cell balancing of the lithium-ion battery when it is being charged and discharged. The simulation outcomes are displayed to be able to confirm the model’s effectiveness under different conditions.

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Active Cell Balancing of Lithium-Ion Battery During the Charging/Discharging Mode

  • Jatin Sheoran,
  • Javed Dhillon,
  • Sachin Mishra

摘要

Nowadays, the electric vehicle-based automotive industry is moving toward various techniques to improve the performance of the electric battery. The battery management system (BMS) is one of the techniques which is mostly preferred to improve battery performance. Cell balancing system is among the crucial parts of the management system, which is required for accurate monitoring of each cell’s voltage as well as timely identification of any voltage imbalances. Different techniques are used for cell balancing, such as passive and active balancing. In this study, an active cell balancing mechanism is presented, which consists of an inductor-based lithium-ion battery for electrical vehicles (EV). In this paper, a DC/DC bidirectional converter is utilized to analyze the effect of cell balancing of the lithium-ion battery when it is being charged and discharged. The simulation outcomes are displayed to be able to confirm the model’s effectiveness under different conditions.