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Development of Cross-Platform Desktop Application for Ebike Motor Controller Configuration Automation

osedea.com

Automotive

Other industries

Challenges in Manual Ebike Controller Configuration

Manual configuration of IoT motor controllers required hardware engineers to input 200+ entries per device, leading to potential errors (e.g., omitted zeros), inconsistent behavior, and inefficient back-and-forth shipping between FTEX and clients for testing/adjustments. Lack of user-friendly tools prevented non-technical users from self-configuring devices.

About the Client

Montreal-based company specializing in advanced power management solutions and operating systems for ebikes, providing intelligent motor controllers and communication modules to ebike brands

Objectives for Automated Configuration Solution

Eliminate manual configuration errors through automated parameter validation
Enable non-technical users to configure controllers via intuitive UI
Support cross-platform compatibility (Windows, macOS, Linux)
Integrate with CAN analyzer hardware for real-time controller communication
Implement scalable architecture for future expansion to other light electric vehicles

Core Functional Requirements

Step-by-step configuration wizard with visual feedback
CAN bus communication interface for real-time parameter adjustment
Configuration template management (save/load/apply profiles)
Address mapping editor for firmware updates
Real-time hardware status monitoring dashboard
Automated validation of min/max parameter ranges

Technology Stack Requirements

Python

Qt for Python (PySide6)

GitHub Actions (CI/CD pipeline)

CAN protocol libraries

Hardware/Software Integrations

SeeedStudio CAN Analyzer hardware interface
Controller Area Network (CAN) protocol stack
Cross-platform USB device detection

Non-Functional Requirements

Cross-platform compatibility (Windows 10+, macOS 11+, Ubuntu 20.04+)
Sub-500ms latency for CAN bus communication
Automated daily release pipeline via GitHub Actions
Scalable architecture for adding new vehicle types
Hardware abstraction layer for future analyzer compatibility

Expected Business Impact

Elimination of manual configuration errors and shipping delays, reducing setup time from hours to minutes. Enables clients to self-configure controllers without engineering expertise, while providing FTEX with a scalable platform for expanding into scooter and other light electric vehicle markets. Daily CI/CD releases ensure rapid iteration based on user feedback.