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Electric vehicles (EVs) have been intensively studied over the past decade, owing to their environmentally-friendly characteristics. However, the miles-per-charge of typical EVs is lower than the cruising range of typical internal combustion engine vehicles. To increase miles-per-charge, the authors’ research group has proposed a series of control systems, including Range Extension Control Systems (RECS) and Range Extension Autonomous Driving (READ) systems. In this paper, by considering the load transfer, slip ratio, motor losses, a READ system is proposed that optimizes the velocity trajectory and the front and rear driving-braking force distribution ratio; these techniques help reduce the consumption energy of the autonomous vehicle. The effectiveness of the proposed method is verified by simulations and experiments.

ieej journal of industry applications

Range Extension Autonomous Driving for Electric Vehicles Based on Optimal Velocity Trajectory Generation and Front-Rear Driving-Braking Force Distribution