IoT-Based Mobile Interface and Real-Time Parameter Estimation in Smart Battery Management Systems (BMS)
13th International Conference on Electrical and Electronics Engineering, ICEEE 2026, Antalya, Türkiye, 27 - 29 Nisan 2026, ss.55-60, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/iceee69936.2026.11598433
- Basıldığı Şehir: Antalya
- Basıldığı Ülke: Türkiye
- Sayfa Sayıları: ss.55-60
- Anahtar Kelimeler: Battery Management System, Cell Balancing, Edge Computing, Internet of Things, State of Charge (SOC)
- Kayseri Üniversitesi Adresli: Evet
Özet
Advances in energy storage technologies have led to lithium-ion and LiFePO4 batteries becoming the industry standard. However, the risk of thermal runaway and the aging processes of these batteries necessitate the use of advanced Battery Management Systems (BMS). While traditional BMS architectures typically operate in a closed-loop system, this study designed a smart BMS based on the Internet of Things (IoT) that can perform real-time data estimation and provides cloud synchronization via a mobile interface. The developed system was tested on 100 Ah LiFePO4 battery pack configured in a 16 S arrangement. Using ESP32 at the hardware layer, telemetry data such as voltage, current, and temperature are collected to calculate State of Charge (SOC) and State of Health (SOH) parameters, which cannot be measured directly. The collected data is visualized through a multi-page mobile application (QTWAY BMS) developed on an infrastructure supported by FastAPI and PostgreSQL; passive cell balancing, historical data analysis, and a user-defined autonomous alert infrastructure have been successfully validated. The proposed system enables predictive maintenance in industrial settings by transparently monitoring battery health.