The design illustrates the functioning of a battery, emphasizing battery management systems (BMS) that monitor packs composed of multiple cells. BMS ensures the delivery of specific voltage and current tailored to predicted usage scenarios. As microgrids (MGs) and plug-in hybrid electric vehicles (PEVs) grow in popularity, batteries increasingly contribute to the development of power systems. Battery bank management systems consist of cells arranged in series and parallel configurations, playing a vital role in the performance of MGs and PEVs. Temperature variations and state of charge (SOC) of individual cells influence the efficiency of these systems in energy conversion. Imbalances in thermal conditions and SOC increase the risk of critical failures in battery banks. To address these challenges, the design introduces a fuzzy logic-based mechanism for battery bank operation. Featuring self-correcting capabilities, this system balances temperature and SOC during charging and discharging. The proposed design, validated through Simulink, effectively regulates temperature and maintains SOC balance across cells. This innovative battery bank management system enhances safety, reliability, and energy efficiency while mitigating SOC and temperature imbalances.

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Simulation Model for Protection of Battery Management System

  • Bhanu Ganesh Lukka,
  • Balauday Burunolla,
  • Vasu Padala,
  • Anirvesh Kalavena,
  • Santhosh Banothu

摘要

The design illustrates the functioning of a battery, emphasizing battery management systems (BMS) that monitor packs composed of multiple cells. BMS ensures the delivery of specific voltage and current tailored to predicted usage scenarios. As microgrids (MGs) and plug-in hybrid electric vehicles (PEVs) grow in popularity, batteries increasingly contribute to the development of power systems. Battery bank management systems consist of cells arranged in series and parallel configurations, playing a vital role in the performance of MGs and PEVs. Temperature variations and state of charge (SOC) of individual cells influence the efficiency of these systems in energy conversion. Imbalances in thermal conditions and SOC increase the risk of critical failures in battery banks. To address these challenges, the design introduces a fuzzy logic-based mechanism for battery bank operation. Featuring self-correcting capabilities, this system balances temperature and SOC during charging and discharging. The proposed design, validated through Simulink, effectively regulates temperature and maintains SOC balance across cells. This innovative battery bank management system enhances safety, reliability, and energy efficiency while mitigating SOC and temperature imbalances.