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Summary
This summary is machine-generated.

This study presents a decentralized smart battery management system (BMS) using cloud-connected controllers and networked sensors. The intelligent BMS enhances battery safety and lifespan through precise monitoring and a novel Petri Net modeling approach.

Keywords:
ESSSOCSOHbattery management systemcharge regulatorcloud computingtemperature sensor

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Area of Science:

  • Electrical Engineering
  • Computer Science
  • Energy Systems

Background:

  • Traditional battery management systems (BMS) often face limitations in precision and security.
  • Centralized BMS architectures can be vulnerable and less adaptable to complex energy storage systems.

Purpose of the Study:

  • To design and implement a decentralized, synchronized smart battery management system.
  • To enhance the safety, operational efficiency, and lifespan of battery banks.
  • To develop a transparent and organized modeling procedure for BMS operation.

Main Methods:

  • Utilized a general controller with cloud computing, four charge regulators, and sensorized battery monitors with networking and Bluetooth.
  • Developed a methodical modeling procedure based on Petri Nets for defining BMS operational conditions.
  • Implemented a distributed control system architecture for enhanced security and precision.

Main Results:

  • Achieved precise estimations of key battery parameters including state of charge (SOC), state of health (SOH), current, voltage, and temperature.
  • Demonstrated increased system security through a distributed BMS design compared to centralized systems.
  • Established a clear, organized, and precise model for BMS operation using Petri Nets.

Conclusions:

  • The designed decentralized BMS offers a secure and efficient solution for managing battery banks.
  • The Petri Net modeling approach provides a transparent and manageable framework for BMS control logic.
  • This intelligent BMS architecture contributes to extending the useful life of energy storage systems.