Fardriver specializes in manufacturing high-performance programmable electronic motor controllers and displays for e-bikes, scooters, and electric motorcycles.
Nanjing Fardriver Controller Co., Ltd., established in 2008, is a high-tech enterprise specializing in automotive safety electronic products and high-performance programmable motor controllers. Fardriver controllers are widely utilized by electric vehicle builders for electric motorcycles, e-bikes, and e-scooters to precisely manage motor speed, torque, and power efficiency.
Fardriver products support advanced features, including compatibility with Hall sensors, custom encoders, CAN communication, and Bluetooth module connectivity. With dedicated Android and iOS mobile applications, users can easily monitor real-time performance data, configure driving parameters, and upgrade their controller software wirelessly.
Últimos manuales de manuals+ Curada para esta marca.
Vea videos de configuración, instalación y solución de problemas de esta marca.
Preguntas comunes sobre manuales, registro y soporte para esta marca.
Ensure your controller is powered on and Bluetooth is enabled on your phone. Open the Fardriver app, go to the 'Comm' tab, click 'Scan', select your controller (e.g., YuanQuFOC), and click 'connect'. Ensure GPS/Location services are enabled on Android devices, as this is required for Bluetooth scanning.
With your vehicle wheel suspended so it has no load, open the app's Graph interface and click 'self-learning'. Hold the throttle open fully; the motor will cycle in reverse and forward. Once the beeping sound stops, the procedure is complete and parameters will automatically be saved into the software.
You can download the latest PC tuning software, mobile app installation files, and control parameter adjustment instructions directly from the official Fardriver site at https://www.far-driver.com/download/.
Phase shift identifies the precise angular position configuration of your electric hub motor, typically 30°, 90°, or 210°. The Fardriver controller is designed to find and calibrate this value automatically during the initial self-learning process.