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

被引：8

作者：

Ikezawa, Yuta ^{[1
]}

Fujimoto, Hiroshi ^{[1
]}

Kawano, Daisuke ^{[2
]}

Goto, Yuichi ^{[2
]}

Takeda, Yusuke ^{[3
]}

Sato, Koji ^{[3
]}

机构：

[1] Univ Tokyo, Tokyo, Japan

[2] Natl Traff Safety & Environm Lab, Tokyo, Japan

[3] Ono Sokki Co Ltd, Yokohama, Kanagawa, Japan

来源：

ELECTRICAL ENGINEERING IN JAPAN | 2019年 / 207卷 / 01期

关键词：

electric vehicle; range extension autonomous driving; cornering resistance; nonlinear optimal control; DRIVEN;

D O I：

10.1002/eej.23088

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：43 / 54

页数：12

共 16 条

[1]

[Anonymous], 1992, Vehicle System Dynamics, DOI DOI 10.1080/00423119208969994

[2]

Ferreira M., 2002, IEEE T INTELL TRANSP, V13, P284

[3] Model-Based Range Extension Control System for Electric Vehicles With Front and Rear Driving-Braking Force Distributions [J].