Range Extension Autonomous Driving for Electric Vehicles Based on Optimal Velocity Trajectory Generation and Front-Rear Driving-Braking Force Distribution
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- Ikezawa Yuta
- The University of Tokyo
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- Fujimoto Hiroshi
- The University of Tokyo
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- Hori Yoichi
- The University of Tokyo
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- Kawano Daisuke
- National Traffic Safety and Environment Laboratory
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- Goto Yuichi
- National Traffic Safety and Environment Laboratory
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- Tsuchimoto Misaki
- Ono Sokki Co., Ltd.
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- Sato Koji
- Ono Sokki Co., Ltd.
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Abstract
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.
Journal
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- IEEJ Journal of Industry Applications
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IEEJ Journal of Industry Applications 5 (3), 228-235, 2016
The Institute of Electrical Engineers of Japan
