A Modular Battery Management System with Active Balancing, Fault Detection and IoT Integration

DOI

10.2991/978-94-6463-884-4_78How to use a DOI?

Keywords

Modular; Batteries; active balancing; fault detection; IoT

Abstract

The efficient and safe operation of lithium-ion battery packs is critical for applications such as electric vehicles, renewable energy storage, and portable electronics. This research presents a Modular Battery Management System (BMS) that combines active cell balancing, fault detection, and real-time monitoring to ensure optimal battery performance and longevity. The system employs a scalable architecture, allowing seamless adaptation to battery packs of varying sizes. The BMS incorporates active balancing circuits using MOSFETs and inductors, enabling energy redistribution among cells to maintain voltage uniformity during charging and discharging. Fault detection mechanisms, including over-voltage, under-voltage, over-current, and over-temperature protections, are implemented using comparators and a microcontroller. Cell voltage, current, and temperature are monitored in real time using precision sensing ICs, and the data is processed by an ESP32 microcontroller. The system is equipped with a CC/CV charging circuit that ensures safe and efficient charging of multi-cell battery packs, complemented by the active balancing circuit to prevent cell overcharging. Additionally, IoT integration via MQTT enables remote monitoring and diagnostics, providing detailed insights into battery health and operational status. This modular BMS design demonstrates enhanced energy efficiency, improved battery safety, and scalability for diverse applications. Experimental results highlight its effectiveness in maintaining balanced cell voltages, protecting the battery pack from faults, and providing accurate real-time monitoring. The proposed system offers a reliable, cost-effective, and scalable solution for modern energy storage challenges.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Md. Sadikur Rahman
AU  - Atia Sadika
AU  - Asifur Rahman Siyam
PY  - 2025
DA  - 2025/11/18
TI  - A Modular Battery Management System with Active Balancing, Fault Detection and IoT Integration
BT  - Proceedings of the 8th International Conference on Engineering Research, Innovation, and Education 2025 (ICERIE 2025)
PB  - Atlantis Press
SP  - 645
EP  - 653
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-884-4_78
DO  - 10.2991/978-94-6463-884-4_78
ID  - Rahman2025
ER  -