Running Stabilization Control of Electric Vehicle Based on Cornering Stiffness Estimation

被引:1
|
作者
Tsumasaka, Akio [1 ]
Fujimoto, Hiroshi [2 ]
Noguchi, Toshihiko [1 ]
机构
[1] Nagaoka Univ Technol, Nagaoka, Niigata, Japan
[2] Yokohama Natl Univ, Yokohama, Kanagawa, Japan
关键词
cornering stiffness; real-time estimation; yaw moment observer; running stabilization control; anti-slip control; electric vehicle; DRIVEN;
D O I
10.1002/eej.20569
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
In this paper, novel direct yaw moment control (DYC) with road condition estimation and anti-slip control is proposed for electric vehicles. An inner-loop observer controls the vehicle traction, and an outer-loop observer stabilizes the yawing motion of the vehicle. An immeasurable parameter known as cornering stiffness is estimated from the detected yaw-rate, steering angle, wheel speed and yaw moment observer output in real time. Thus, the accurate control input can be generated with the estimated parameters. The proposed adaptive control is compared with a conventional robust control method under dry and snowy terrain conditions. Experimental results show that the proposed control algorithm properly attenuates the yaw-rate error. (C) 2008 Wiley Periodicals, Inc. Electr Eng Jpn, 166(4): 97-104, 2009; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/eej.20569
引用
收藏
页码:97 / 104
页数:8
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