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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM.RACCES063
Volume:
10 |
4 |
April 2026
Pages:
1-5
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Electronics and Communication Engineering
Bharathiyar Institute of Engineering for women (Autonomous) Salem, TamilNadu, India
Electronics and Communication Engineering
Bharathiyar Institute of Engineering for women (Autonomous) Salem, TamilNadu, India
Electronics and Communication Engineering
Bharathiyar Institute of Engineering for women (Autonomous) Salem, TamilNadu, India
Electronics and Communication Engineering
Bharathiyar Institute of Engineering for women (Autonomous) Salem, TamilNadu, India
Electronics and Communication Engineering
The rapid adoption of electric vehicles (EVs) has increased the demand for efficient battery monitoring and safety systems. Battery Management Systems (BMS) play a vital role in ensuring battery performance, lifespan, and safety. This paper proposes an IoT-based real-time BMS using an ESP32 microcontroller for continuous monitoring of lithium-ion batteries. The system measures key parameters such as voltage, current, temperature, and state of charge (SOC), and transmits data to a cloud platform for remote access. Additional safety features such as smoke detection and over-temperature alerts are integrated. The proposed system improves battery reliability, prevents hazardous conditions, and enables predictive maintenance. The results demonstrate effective real-time monitoring and fault detection, making it suitable for next-generation EV applications.
KEYWORDS
The system was tested under various conditions. Results show: · Accurate parameter monitoring · Real-time cloud data transmission · Early fault detection · Improved battery safety,
1. P. Pusdekar et al., “IoT-Based Battery Management System,” 2025. 2. G. V. Lohar et al., “Wireless BMS using IoT,” 2023. 3. E. Gomez-Huaylla et al., “Battery Monitoring using ESP32,” 2024. 4. K. Insia et al., “Smart IoT Battery Monitoring,” 2024. 5. Scientific Reports, “Battery Life Prediction using ML,” 2024. 6. Dr. P. Karuppsamy et al., 7. “Applying IoT to an Electric Vehicle Battery Monitoring System,” International Journal of Engineering Research & Technology (IJERT), vol. 12, issue 3, 2023. � 8. IJERT 9. S. F. Shamili et al., 10. “IoT Based Battery Management System in Electric Vehicle,” IJSART, vol. 11, issue 4, 2025. � 11. IJSART 12. K. Haridoss et al., 13. “Wireless Battery Management System: A Comprehensive Review,” IJRASET, 2025. 14. IJRASET 15. X. Huang et al., 16. “Wireless Smart Battery Management System for Electric Vehicles,” IEEE Energy Conversion Congress and Exposition (ECCE
Publication Date
5/2/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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