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Advanced Battery Management System Design and Validation Using Simulink for Enhanced Efficiency and Longevity

  • Kushagra Singh Lodha*
  • , Narendra Khatri
  • , Harish Sharma
  • *Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    An effective Battery Management System (BMS) is a key to guaranteeing safe operation, maximum efficiency, and prolonged lifespan of batteries in varied charge-discharge cycles and environmental conditions. A proper BMS is always tracking voltage and temperature in cells, analyzing the state-of-charge (SoC) and state-of-health (SoH), synchronizing power supply for minimizing overcharge and thermal runaway risks, enhancing the charging process, balancing the SoC quantity among individual cells, and disconnecting the battery pack from the load when needed to avoid possible failures. BMSs are widely employed in industrial and commercial applications, maximizing battery efficiency while keeping the battery state within safe limits to ensure maximum lifespan. Simulink is a suitable tool to simulate BMS, since it is full of modeling and simulation capabilities. It allows for the generation of single-cell-equivalent circuits, parameter estimation, electronic circuit design, generation of control logic, code generation, and verification processes. Electrical networks that simulate real system topologies can be used to model battery packs, parameterize circuit components from test data to accurately model cell chemistry, and power electronics circuits interconnecting the pack to control systems. With Simulink, it is possible to simulate closed-loop control algorithms dedicated to fault detection and supervisory logic, as well as state observers for online SoC and SoH estimation. By simulating a BMS in various operating and fault conditions, Simulink allows for exhaustive pre-hardware testing. Its real-time simulation capabilities also allow for hardware-in-the-loop (HIL) testing, thus ensuring a validated BMS design before hardware implementation.

    Original languageEnglish
    Title of host publicationSIST 2025 - 2025 IEEE 5th International Conference on Smart Information Systems and Technologies, Conference Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9798331515140
    DOIs
    Publication statusPublished - 2025
    Event5th IEEE International Conference on Smart Information Systems and Technologies, SIST 2025 - Astana, Kazakhstan
    Duration: 14-05-202516-05-2025

    Publication series

    NameSIST 2025 - 2025 IEEE 5th International Conference on Smart Information Systems and Technologies, Conference Proceedings

    Conference

    Conference5th IEEE International Conference on Smart Information Systems and Technologies, SIST 2025
    Country/TerritoryKazakhstan
    CityAstana
    Period14-05-2516-05-25

    All Science Journal Classification (ASJC) codes

    • Artificial Intelligence
    • Computer Science Applications
    • Computer Vision and Pattern Recognition
    • Information Systems
    • Decision Sciences (miscellaneous)
    • Control and Optimization

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