Range Extension Autonomous Driving for Electric Vehicle Based on Optimal Vehicle Velocity Profile in Consideration of Cornering
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- Ikezawa Yuta
- Graduate School of Frontier Sciences, The University of Tokyo
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- Fujimoto Hiroshi
- Graduate School of Frontier Sciences, 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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- Takeda Yusuke
- Ono Sokki Co., Ltd.
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- Sato Koji
- Ono Sokki Co., Ltd.
Bibliographic Information
- Other Title
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- 電気自動車における旋回を考慮した速度軌道最適化による航続距離延長自動運転
- デンキ ジドウシャ ニ オケル センカイ オ コウリョ シタ ソクド キドウ サイテキカ ニ ヨル コウゾク キョリ エンチョウ ジドウ ウンテン
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Abstract
<p>Electric vehicles (EVs) have been intensively studied in the last decade due to their environment-friendly characteristics. However, the miles-per-charge of EVs is less than that of internal combustion engine vehicles. To improve the miles-per-charge, the authors' group proposed a Range Extension Autonomous Driving (READ) system that minimizes consumption energy by optimizing the velocity profile. However, conventional systems can be applied to driving on only straight roads. Therefore, this study extends READ system to be applied to driving not only on straight roads but also on curved roads by modeling the vehicle rotation motion and the cornering resistance. The effectiveness of the proposed method is verified by simulations and experiments.</p>
Journal
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- IEEJ Transactions on Industry Applications
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IEEJ Transactions on Industry Applications 137 (12), 899-907, 2017
The Institute of Electrical Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390001204657640448
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- NII Article ID
- 130006235445
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- NII Book ID
- AN10012320
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- ISSN
- 13488163
- 09136339
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- NDL BIB ID
- 028724691
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed