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@article{200359,
        author = {Murali Krishnan R and Naveen Kumar M and Sakthibalan P},
        title = {Tracking Analysis Reliability and Safety Battery Management System [TARS BMS]},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {1128-1132},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=200359},
        abstract = {This paper presents the development of the Tracking, Analysis, Reliability & Safety Battery Management System (TARS BMS), an advanced embedded and IoT-based solution designed to enhance the performance and safety of rechargeable battery systems. Traditional battery management often lacks the real-time precision and remote accessibility required for modern applications like electric vehicles and renewable energy storage. The proposed system addresses these gaps by utilizing an ESP32 microcontroller as a central processing unit to monitor individual cell voltages, total pack voltage, current flow, and temperature via a sophisticated sensing layer.
Key analytical metrics, including State of Charge (SOC), State of Health (SOH), and Depth of Discharge (DOD), are calculated to provide continuous diagnostics of the battery's operational status. To prevent hazardous conditions such as thermal runaway and deep discharge, the system implements automated protection mechanisms-including overvoltage, undervoltage, overcurrent, and overtemperature cutoffs-using MOSFET-based switching circuits. Furthermore, an inductor-based active cell balancing technique is integrated to redistribute energy among cells, thereby improving efficiency and extending the battery's lifespan compared to traditional passive methods.
The system incorporates IoT connectivity through the Blynk platform, enabling users to visualize battery data and receive fault alerts remotely via a smartphone interface. Experimental results demonstrate that the TARS BMS provides an efficient, scalable, and intelligent approach to battery management, significantly improving reliability and safety for small to medium-scale energy storage applications.},
        keywords = {Battery Management System (BMS), ESP32, IoT, Active Cell Balancing, Real-time Monitoring.},
        month = {May},
        }