BATTERY MANAGEMENT SYSTEM WITH THERMAL MONITORING SYSTEM
Authors/Creators
Description
The proposed Battery Management System (BMS) introduces a sophisticated and integrated platform to ensure safe, efficient and long-life operation of modern battery packs across applications such as renewable energy storage, electric vehicles and industrial backup systems. At the heart of the system lies continuous monitoring of key electrical and environmental parameters voltage, current, temperature, and surrounding ambient conditions via dedicated sensors and analog front-end electronics. Real-time processing by a microcontroller enables detection of hazardous events including over-current, over-temperature and potential short-circuit conditions, thereby initiating protective responses such as load isolation or thermal mitigation. A visual interface on an LCD display presents system status, fault indicators and diagnostic messages, affording users immediate awareness of battery health. Simultaneously, wireless connectivity to an IoT cloud platform enables remote monitoring, data logging and trend-analysis of battery state-of-charge (SoC), state-of-health (SoH) and emerging degradation patterns, supporting predictive maintenance and life-cycle management. Thermal management strategies heating/cooling control, passive heat-sink design and intelligent fan activation alongside short-circuit protection mechanisms enhance battery reliability and lifespan. Modular architecture and scalable design facilitate adaptation to varied battery chemistries and pack sizes while maintaining cost-effectiveness. With its robust feature set, the system supports cell-balancing, fault detection, charge/discharge management and communication functions typical of advanced BMS frameworks. By combining embedded sensing, protective control, human-machine interface and cloud-connectivity, the proposed BMS addresses essential safety, reliability and performance challenges in energy-storage systems. The result is a comprehensive solution that enhances operational efficiency, minimizes risk of failure, extends battery life and delivers actionable intelligence to operators and stakeholders.
Files
86-89.pdf
Files
(325.6 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:70b09671ae1da16261a943ef558da6a1
|
325.6 kB | Preview Download |
Additional details
Identifiers
- ISSN
- 2455-5630
Related works
- Is published in
- Publication: 2455-5630 (ISSN)
Dates
- Accepted
-
2026-04-28
References
- 2455 - 5630