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Undergraduate Project – Electronic Differential

Category :

Research | Electric Vehicles | Embedded Control

Institution:

University of Moratuwa

Research Period :

2016

Role:

Project Lead – Embedded Systems & Control

Overview

Designed and implemented an electronic differential system for an electric vehicle (EV) prototype, enabling dynamic torque distribution between two independent BLDC drive motors. The system replaced a conventional mechanical differential with embedded control logic to improve performance, efficiency, and handling.

Key Features

  • Dual-MCU Architecture — Utilized Arduino Due (ARM Cortex-M3) and Arduino Mega 2560 (ATmega2560) for real-time coordination and motor control.
  • BLDC Motor Control — Implemented torque regulation and synchronization algorithms for precise speed balancing.
  • Dynamic Torque Distribution — Adjusted motor outputs based on steering input and wheel speed feedback.
  • Embedded Control Algorithms — Designed closed-loop control for stability, traction, and efficiency.

Outcome

Achieved improved cornering stability, traction, and energy efficiency, validating the electronic differential as a cost-effective solution for electric vehicle research and development.

GitHub Repo

Automated Light Controller

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02 . The Solution

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