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Design and development of a scalable laboratory model of a decentralized  Battery Pack Management System

School: School of Engineering

Project Incharge:Dr. Ilango Karuppasamy
Co-Project Incharge:Prathibha S. Babu
Design and development of a scalable laboratory model of a decentralized  Battery Pack Management System

Battery management systems (BMSs) are real-time systems controlling many functions vital to the correct and safe operation of the electrical energy storage system in EVs and PHEVs.It includes monitoring temperatures, voltages and currents, maintenance scheduling, battery performance optimization, failure prediction and /or prevention, and battery data collection/analysis.

The primary aim of the BMS is to guarantee the safety of facility operation while also monitoring and optimizing the use and efficiency of its supervised subsystems to allow more efficient operation. The battery management system also ensures battery charging and discharging at the cell level, by which the battery cell life cycle can be increased, and battery damage can be avoided. Currently, conventional battery management systems (BMSs) generally undertake hierarchical master-module architectures, which require a separate pack management system operating as a master and a battery management system in each battery pack configured as a slave.

The shortcoming of the existing master-slave configured BMS are:

  • This significantly affects the scalability of such systems, as the number of battery packs that can be connected in parallel is completely dependent on the capacity of the master.
  • The installation of centralized master-slave BMSs architecture may fail the entire system if the master BMS fails.

To avoid failure of the system due to master-slave arrangements, the algorithm to be designed does not require the master-slave configuration and does not require any centralized hardware to manage the battery packs.

Decentralized BPMS is an arrangement where this system enables:

  • Individual battery packs to communicate independently.
  • The scalability of the system, as the number of batteries connected in parallel, is dependent on the capacity of the master. This allows the system to scale up to meet virtually any size, small, medium, or large.
  • The entire system is not dependent on a single module, as it removes master-slave configuration.

Amrita seed funding-Amount:12,71,772/-

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