DESIGN AND IMPLEMENTATION OF SMART BATTERY MANAGEMENT SYSTEM FOR SOLAR PV (PHOTOVOLATIC) SYSTEMS

This project focuses on the design and implementation of a Smart Battery Management System (BMS) for Solar Photovoltaic (PV) systems. The BMS is an intelligent system that monitors, controls, and protects battery performance using real-time data. It incorporates terms such as State of Charge (SOC), ESP32 microcontroller, thermal runaway, and predictive maintenance. The aim is to extend battery life, enhance energy efficiency, and ensure operational safety. The aim is to develop an intelligent system that ensures efficient energy storage, extends battery lifespan, and enhances safety using real-time monitoring and control. Key terms applied include State of Charge (SOC), thermal runaway, and ESP32 microcontroller. The objectives are to monitor battery parameters such as voltage, current, and temperature in real time, estimate SOC accurately, implement safety responses for overcharge and overheating, design an interactive user interface, and simulate system behavior using MATLAB and Simulink. The methodology used is the Waterfall Model, involving sequential stages of system analysis, simulation, hardware implementation, and testing. The ESP32 microcontroller was programmed using Arduino IDE and connected to sensors for live data collection and control. Findings show that the system accurately tracks SOC, triggers protective measures when thresholds are exceeded, and delivers real-time updates through a responsive dashboard. It is recommended that future work should involve AI integration for advanced analytics, outdoor deployment for real-world evaluation, and support for hybrid renewable energy systems.