Aug 2026· International Conference on Circuit, Power and Computing Technologies· pp. 491-496· 0 citations· 17 references
Abstract
Modern energy storage systems depend on Battery Management Systems (BMS) to be safe, effective and long-lasting. In order to improve battery performance and reliability, this paper integrate a Smart BMS with Phase Change Material (PCM) Cooling Technique and Predictive Maintenance. For real-time monitoring and control, the system uses a number of sensors, including temperature, voltage, current and flame sensors, which are connected to an Arduino Uno and an ESP32-based Internet of Things module. Sensor data is analyzed to anticipate any malfunctions, allowing for proactive maintenance and preventing unplanned downtime. By efficiently controlling battery temperature, PCM cooling method reduces thermal runaway and lengthens battery life. Real-time warnings and remote monitoring are made possible by IoT architecture through a web or mobile interface. Improved safety, operational effectiveness and battery lifespan are demonstrated by experimental evaluation, which makes this strategy a viable option for cutting-edge energy storage applications.
The rapid growth of electric vehicles (EVs) has increased the demand for intelligent battery management systems capable of ensuring operational safety, reliability, and extended battery life. Battery failures caused by overvoltage, undervoltage, overcurrent, overheating, and gas leakage can significantly degrade batter...
Sahitya Kiran P, Sujatha Kadagala, prasanna laxmi Kinthada et al.· International Journal of Sci...· 0 citations
Battery energy storage (BES) systems are vital in the enhancement of sustainability, performance and reliability in today’s power systems particularly for Backup Power Systems (BES), electric vehicles (EV) and for requiring renewable energy integration. This paper presents the development/evaluation of an ESP32-based s...
B. Rohini, S. Amosedinakaran, G. Hemachandra et al.· International Conference on...· 0 citations
In this document, an advanced intelligent energy storage management system solution for clean energy sources from solar power will be outlined through the use predictive controls. The integrated intelligent energy management architecture includes a solar panel array, battery bank, local users, two-way converter, and ut...
Shokhrukh Shoyimov, Zufar Qoryog’diyev· EPJ Web of Conferences· 0 citations
The rapid adoption of electric vehicles has significantly increased the demand for efficient and reliable energy storage systems. Among various energy storage technologies, lithium-ion batteries have emerged as the preferred choice for electric two-wheelers due to their high energy density, long service life, and super...
Mr. Kharat Sagar Balasaheb, Mr. Sarwade Aniket Kai, Ms. Wale Yogita Kisan, Ms. Pawar Harshada Santosh· International Journal of Adv...· 0 citations
Renewable energy has become a key solution for addressing the increasing global demand for sustainable and environmentally friendly power generation. Effective monitoring of renewable energy systems is essential to ensure efficient operation, minimize energy losses, and improve system reliability. This paper presents a...
Lenkalapally Harika, Biram Rasagna, A. K. Rathod· International Journal of Sci...· 0 citations
This study explores an intelligent energy management framework for hybrid energy storage systems (HESS) that combine lithium-ion batteries and supercapacitors in electric vehicle applications. A Python-based simulation model incorporating a hierarchical AI controller was developed and evaluated using a 60-second real-w...
K. M, N. Latha, R. Devika et al.· 2026 6th International Confe...· 0 citations
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