Range Extension Autonomous Driving for Electric Vehicle Based on Optimal Vehicle Velocity Profile in Consideration of Cornering

SUMMARY 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 Exte...

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Bibliographic Details
Published inElectrical engineering in Japan Vol. 207; no. 1; pp. 43 - 54
Main Authors Ikezawa, Yuta, Fujimoto, Hiroshi, Kawano, Daisuke, Goto, Yuichi, Takeda, Yusuke, Sato, Koji
Format Journal Article
LanguageEnglish
Published Hoboken Wiley Subscription Services, Inc 01.04.2019
Subjects
Automobile industry
Computer simulation
Cornering
cornering resistance
Driving
electric vehicle
Electric vehicles
Internal combustion engines
Motional resistance
nonlinear optimal control
Optimization
range extension autonomous driving
Roads
Velocity distribution
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Summary:SUMMARY 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.
ISSN:0424-7760
1520-6416
DOI:10.1002/eej.23088