🚴‍♂️ Power Bike – Energy-Generating Bicycle System

This repository contains the complete source code and system description for an interactive energy-generating bicycle that monitors, transmits, and visualizes real-time electrical parameters such as RPM, voltage, current, and power output.

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🔧 System Overview

The project integrates multiple hardware components, including:

• 🧠 Raspberry Pi 4 – acts as the main display unit
• 📡 Two ESP32 microcontrollers – for sensor reading and control logic
• ⚙️ Dynamo – generates electricity as the user pedals
• 💡 120V LED strips – visually indicate energy production via relays

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🔁 How It Works

1. As the user pedals, the dynamo generates electricity.
2. A dedicated ESP32:
   • Reads raw sensor data (RPM, voltage, current).
   • Scales and processes the values.
   • Sends the data via Bluetooth to the Raspberry Pi 4.
   • Simultaneously broadcasts the power data over Wi-Fi (MAC-based protocol) to a second ESP32.
3. The Raspberry Pi 4:
   • Receives the data via Bluetooth.
   • Displays real-time metrics on a connected screen using a Python GUI (Tkinter) dashboard.
4. The second ESP32:
   • Receives power data over Wi-Fi.
   • Controls relay modules to turn on/off high-voltage LED strips.
   • The number of LEDs turned on increases with the pedaling effort and power output.

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📊 Features

• Real-time data visualization:
  • 🔵 Voltage
  • 🟢 Current
  • 🔁 RPM
  • 🔌 Power (W)
• Bluetooth communication for dashboard data
• Wi-Fi-based broadcast to auxiliary control system
• LED feedback system representing physical effort
• Modular and scalable architecture
• Educational and interactive energy awareness system

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📸 Screenshots

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📦 Requirements

• Python 3.x
• tkinter for GUI (pre-installed on Raspberry Pi OS)
• Serial libraries for ESP32 code (e.g., Arduino framework)
• Bluetooth configuration (for Raspberry Pi)
• Relay modules compatible with 120V LED strips

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👨‍💻 Author

Martín Felipe Bermúdez Romero
Student of Electronic Engineering
Universidad Distrital Francisco José de Caldas
martimrome13@gmail.com* mfbermudezr@udistrital.edu.co*

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🚀 Future Improvements (optional)

• Data logging to CSV or database
• Web dashboard for remote monitoring
• Energy storage monitoring (e.g., batteries or capacitors)
• Support for multiple bikes or users

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