The efficiency of solar photovoltaic (PV) systems strongly depends on effective maximum power extraction and intelligent battery management. This project presents a Solar Panel Based Maximum Power Point Tracking (MPPT) system using a ZETA Converter to maximize energy harvesting under varying irradiance and temperature conditions. The ZETA converter is chosen due to its ability to operate in both buck and boost modes while providing a non-inverted and continuous output voltage, making it highly suitable for stable battery charging applications. A PIC microcontroller is employed to implement the MPPT algorithm by dynamically controlling the PWM duty cycle of the ZETA converter. Voltage sensing circuits continuously monitor solar panel and battery voltage to ensure accurate power regulation. The system calculates the State of Charge (SOC), State of Health (SOH), and the estimated time required for the battery to reach full charge, enabling comprehensive battery condition assessment. All real-time parameters such as battery voltage, solar voltage, SOC, SOH and the estimated time required for the battery to reach full chargeare displayed on an LCD and simultaneously transmitted to the ThingSpeak cloud platform via an ESP8266 Wi-Fi module for remote monitoring, visualization, and data analysis. The proposed system significantly enhances power conversion efficiency, improves battery lifespan through proactive health monitoring, and enables smart IoT-based supervision, making it suitable for standalone solar systems, smart energy storage, and IoT-enabled renewable energy applications.    

Major components presenting this system:

• Solar.
• Rechargeable Battery.
• PIC Micro controller.
• ZETAconverter.
• LCD display.
• Esp8266 wi-fi module.
• PWM signal.

     

Block Diagram:

video: