AI-Powered Solar Charging System
An intelligent solar panel orientation system that maximizes energy capture using light sensors and servo control
Light-Sensitive Tracking
Uses dual light sensors to detect intensity differences and automatically adjusts panel orientation for optimal sunlight exposure.
Web Interface
Real-time monitoring and control through a web interface with data visualization, manual controls, and system status updates.
ESP32 Powered
Built on ESP32 with HTU21DF temperature/humidity sensor and servo motor control for precise panel positioning.
System Overview
This AI-powered solar tracking system automatically optimizes solar panel orientation to maximize energy capture. Key components include:
- ESP32 microcontroller with WiFi capabilities
- Dual light sensors (LDR) for light intensity comparison
- Servo motor for precise panel positioning
- HTU21DF temperature and humidity sensor
- Voltage sensor for panel output monitoring
- LCD display for local status updates
The system operates in both automatic and manual modes, with a web interface for remote monitoring and control.
Project Demonstration
Watch my demonstration of the AI Solar Tracking System featured on the university's Facebook page.
System Features
Web Control Interface
The responsive web interface allows real-time monitoring of system parameters and manual control of panel orientation.
Data Visualization
Graphical representation of light intensity differences, temperature, humidity, and voltage readings over time.
Hardware Implementation
The physical prototype showing the solar panel, light sensors, and servo mechanism for precise positioning.
Technical Specifications
| Component | Specification |
|---|---|
| Microcontroller | ESP32 with WiFi and Bluetooth |
| Light Sensors | Dual LDR (Light Dependent Resistors) |
| Servo Motor | Standard hobby servo (180° rotation) |
| Environmental Sensor | HTU21DF Temperature & Humidity |
| Voltage Measurement | Analog input with voltage divider |
| Display | 20x4 I2C LCD |
| Web Server | AsyncWebServer with SPIFFS |
| Control Modes | Automatic (AI) and Manual |
AI Control Algorithm
The system uses an intelligent algorithm to determine optimal panel positioning based on real-time light sensor data analysis.
Key Algorithm Features
Light Difference Threshold
Detects significant light intensity differences (10.0 units threshold)
Night Mode
Activates when light levels drop below 500.0 units
Smoothing Factor
0.2 smoothing for stable operation without jitter
Bi-directional Rotation
Automatic clockwise/counter-clockwise adjustment
Speed Prediction
Adjusts movement speed based on light difference
Web API Endpoints
{
"lightLeft": 845.0,
"lightRight": 920.0,
"temperature": 28.5,
"humidity": 65.2,
"voltage": 4.8,
"servoPosition": 90
}
Ready to Implement This Solution?
This project demonstrates my capabilities in AI, IoT, and renewable energy systems. I'd be happy to discuss how similar solutions could benefit your organization or to customize this system for your specific needs.