PyBikeBrain: Revolutionizing E-bike InteractionIntroducing PyBikeBrain: Lavigne Labs proudly presents the PyBikeBrain, a modular microPython multipurpose board designed to enhance the functionality and interactivity of E-bikes. Inspired by the versatile pyBoard, PyBikeBrain is capable of a wide range of digital electronic tasks, significantly enhancing the e-bike experience. Core Capabilities and Features:
- Versatile Functionality: PyBikeBrain serves as the brain of your E-bike, handling inputs and outputs, adding logic and logging, and connecting to various bike components.
- Advanced Interconnectivity: It can control displays, log data, manage lighting and security, and communicate with motor controllers and battery management systems.
- Main Control Layer: Acts as the heart of the system with extensive functionality packed into a compact design.
- Additional Layers: Each 'Layer' adds specific functionalities, from serial ports in the Serial Layer to power management in the Power Layer, and more.
- Control Layer: Central pyBoard v1.1 compatible board with USB, SD Card, Buzzer, and more.
- Serial Layer: Adds 4 Serial ports with debugging features.
- Input Layer: Facilitates switch and analog inputs.
- Power Layer: Manages power input and output controls.
- Kelly Layer: Tailored for Kelly KLS-S controllers with a variety of outputs and a UART.
- Battery Backup Layer: Ensures stable power supply and LiPo charging.
- IMU Layer: Integrates a WIT Motion IMU with GPS and IMU access ports.
- Test Layer: Offers extensive testing capabilities.