Range Extension Autonomous Driving for Electric Vehicles Based on Optimal Velocity Trajectory Generation and Front-Rear Driving-Braking Force Distribution
Range Extension Autonomous Driving for Electric Vehicles Based on Optimal Velocity Trajectory Generation and Front-Rear Driving-Braking Force Distribution
カテゴリ: 論文誌(論文単位)
グループ名: 【D】産業応用部門(英文)
発行日: 2016/05/01
タイトル(英語): Range Extension Autonomous Driving for Electric Vehicles Based on Optimal Velocity Trajectory Generation and Front-Rear Driving-Braking Force Distribution
著者名: Yuta Ikezawa (The University of Tokyo), Hiroshi Fujimoto (The University of Tokyo), Yoichi Hori (The University of Tokyo), Daisuke Kawano (National Traffic Safety and Environment Laboratory), Yuichi Goto (National Traffic Safety and Environment Laboratory
著者名(英語): Yuta Ikezawa (The University of Tokyo), Hiroshi Fujimoto (The University of Tokyo), Yoichi Hori (The University of Tokyo), Daisuke Kawano (National Traffic Safety and Environment Laboratory), Yuichi Goto (National Traffic Safety and Environment Laboratory), Misaki Tsuchimoto (Ono Sokki Co., Ltd.), Koji Sato (Ono Sokki Co., Ltd.)
キーワード: electric vehicle,driving and braking force distribution,range extension autonomous driving,slip ratio,motor loss
要約(英語): 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.
本誌: IEEJ Journal of Industry Applications Vol.5 No.3 (2016)
本誌掲載ページ: 228-235 p
原稿種別: 論文/英語
電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejjia/5/3/5_228/_article/-char/ja/
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