Model-based prediction of steering response

Author:

Lee Eun Jae1,Lee Jong Hyup2,Choi Seibum Ben2,Gil Gibin3

Affiliation:

1. Future Vehicle Division, KAIST, Daejeon, Republic of Korea

2. Department of Mechanical Engineering, KAIST, Daejeon, Republic of Korea

3. Research Division of Central Research Center, Hankook Tire co. Ltd., Daejeon, Republic of Korea

Abstract

To predict steering response, this paper proposes a string tire model based on relaxation length and a vehicle model designed by using effective cornering force. The cornering force, lateral static, and distortion characteristics of a tire are significant factors that describe steering response. Nevertheless, it is difficult to define the contribution of each factor when a tire’s cornering motion is evaluated through subjective assessment. A new concept of tire model, which adopts distortion stiffness ([Formula: see text]), is defined. A modified vehicle dynamics model is adapted to represent tire force lag and converted cornering stiffness ([Formula: see text]) based on effective cornering force. This integration scheme is proposed to provide a more accurate modeling for steering response performance. The integration model is confirmed by dynamic response and validated through comparison with a steering response assessment by a subjective test engineer. The test results demonstrate the ability of this approach to predict steering response.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Aerospace Engineering

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Research on the influence of heavy-duty tracked vehicles parameters on steering driving process;International Journal of Heavy Vehicle Systems;2024

2. Computation and optimization of rack and pinion steering mechanism considering kingpin parameters and tire side slip angle;Journal of Mechanical Science and Technology;2022-12-31

3. Modelling and analysis of longitudinal-vertical coupling dynamics for the tracked vehicle on uneven roads;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2022-08-02

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3