@article{ref1,
title="Model-based prediction of steering response",
journal="Proceedings of the Institution of Mechanical Engineers, Part D: Journal of automobile engineering",
year="2018",
author="Lee, Eun Jae and Lee, Jong Hyup and Choi, Seibum Ben and Gil, Gibin",
volume="232",
number="4",
pages="511-520",
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 (KDKD<math display=&quot;inline&quot; id=&quot;math1-0954407017703230&quot; overflow=&quot;scroll&quot; altimg=&quot;eq-00001.gif&quot;><mrow><msub><mrow><mi>K</mi></mrow><mrow><mi>D</mi></mrow></msub></mrow></math>), is defined. A modified vehicle dynamics model is adapted to represent tire force lag and converted cornering stiffness (CαCα<math display=&quot;inline&quot; id=&quot;math2-0954407017703230&quot; overflow=&quot;scroll&quot; altimg=&quot;eq-00002.gif&quot;><mrow><msub><mrow><mi>C</mi></mrow><mrow><mi>α</mi></mrow></msub></mrow></math>) 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.<p /> <p>Language: en</p>",
language="en",
issn="0954-4070",
doi="10.1177/0954407017703230",
url="http://dx.doi.org/10.1177/0954407017703230"
}