Solar Panel V-I Curve Tracer Kit with Arduino Uno – See I-V Curves and MPP on OLED

Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.

With an MCP4725 DAC sweeping the load, an INA219 sensor recording voltage and current, and an OLED plotting the I-V curve in real time, this kit transforms your Arduino Uno into a precision solar panel characterization tool. You’ll understand exactly how a photovoltaic cell behaves under changing light, and why maximum power point tracking is essential for every solar installation. Whether you’re validating a small panel for a DIY project or demonstrating semiconductor physics, this project turns raw sunlight into data you can see and use.

What You'll Build

You’ll assemble a compact instrument that automatically measures a 6V solar panel’s output, plots the I-V and power curves on an OLED, and highlights the maximum power point (MPP). The MCP4725 acts as a programmable load, the INA219 captures precise voltage and current, and the Arduino computes the power curve and drives the display. The result is a self‑contained curve tracer that runs on a 9V battery, needs no PC after programming, and makes solar cell behavior instantly visible.

What You'll Learn

• How to use I2C sensors (INA219 for voltage/current, MCP4725 DAC) with Arduino
• Plotting real-time I-V curves on an OLED display using simple graphics libraries
• Calculating power and locating the maximum power point algorithmically
• Characterizing a solar panel under varying light and load conditions – a foundation for MPPT design

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

Ideal for CBSE Class 11–12 students exploring semiconductor physics, B.Tech ECE/EEE mini‑projects on renewable energy, and ATL Tinkering Labs where hands‑on solar experimentation is encouraged. With clear breadboard wiring and an AI companion that answers every doubt, even young makers aged 10+ can complete it under supervision, while engineering students from IIT, NIT, VIT, and BITS can use it for advanced characterization and Smart India Hackathon prototypes.

Built and Backed by Compoden

Every Compoden kit ships with an AI build companion trained on this exact project — accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.