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Tyre Shear Force and Moment Descriptions by Normalisation of Parameters and the 'Magic Formula'

机译:通过参数归一化和“魔术公式”对轮胎的剪切力和弯矩进行描述

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摘要

Previous work by Radt on the use of normalised parameters to bring economy to the task of measuring, describing and computing tyre shear forces and parallel works of Pacejka on the 'similarity method' are reviewed, extended and applied. Similarity ideas are used in association with the 'Magic Formula'. Some published tyre force and moment results are divided into basic and nonbasic sets. The basic set contains a notional minimum amount of information from which the full spectrum of results can be obtained by applying similarity ideas. Calculations are carried out to show how the nonbasic results can be reconstructed from the basic set. Advantages are obtained by using a novel nonlinear transformation of the longitudinal and sideslip variables. The results are shown to be qualitatively excellent and quantitatively quite good. Of course, the accuracy is not as high as with a full Magic Formula treatment but the economy is remarkable. The process is captured in a MATLAB algorithm, included as an appendix. It is thought that this provides a useful facility for enabling vehicle dynamics studies of a more generic flavour, in which circumstances conspire to make high precision of tyre force descriptions inappropriate or impossible.
机译:Radt先前关于使用归一化参数使测量,描述和计算轮胎剪力的工作变得经济的工作,以及Pacejka在“相似性方法”上的并行工作得到了审查,扩展和应用。相似的想法与“魔术公式”结合使用。一些已发布的轮胎力和弯矩结果分为基本组和非基本组。基本集包含名义上的最小信息量,通过应用相似性思想可以从中获得全部结果。进行了计算以显示如何从基本集中重建非基本结果。通过使用纵向和侧滑变量的新型非线性变换可获得优势。结果显示在质量上很好,在数量上也很好。当然,准确性不如完整的Magic Formula处理高,但经济性显着。该过程以MATLAB算法(作为附录包含)捕获。认为这提供了一种有用的设施,用于使汽车动力学研究更通用的风味,在这种情况下,合谋使轮胎力描述的高精度变得不合适或不可能。

著录项

  • 来源
    《Vehicle System Dynamics》 |2003年第1期|p.27-56|共30页
  • 作者

    R.S. SHARP; M. BETTELLA;

  • 作者单位

    Electrical and Electronic Engineering, Imperial College of Science, Engineering and Medicine, Exhibition Road, London SW7 2BT, U.K.;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 汽车工程;
  • 关键词

  • 入库时间 2022-08-17 23:46:56

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