A Vehicle Dynamics Tire Model for Both Pavement and Off-Road Conditions

Allen, Robert B.; Rosenthal, Theodore J.; Chrstos, Jeffrey P.

doi:10.4271/970559

Cited by 44 publications

(21 citation statements)

References 1 publication

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“…Although, the model was originally developed for the paved surfaces, it has been further improved by implementing the capability of modelling offroad [2,7]. The base model takes into account the experimentally provided tyre data to derive analytical and nonlinear solutions to the vehicle dynamics simulations.…”

Section: Tyre Modelmentioning

confidence: 99%

“…As it is already mentioned, Metz's model is based on exponential function of tyre slip angle with the parameter relating to cornering stiffness being a function of vertical load [7]. This exponential model is given in the equations 7 and 8, below.…”

Section: Tyre Modelmentioning

confidence: 99%

“…Further details about the model can be found in the studies of Allen et al, in the literature [2,7,9,12].…”

Section: Tyre Modelmentioning

confidence: 99%

“…He considers wheels as simple loading surfaces having similar forms but different lengths and widths [6]. Especially, under soft terrain conditions, tyres penetrate the surface due to the individual tyre load and the amount of shear displacement [7]. As a result of these, rolling resistance also increases.…”

Section: Introductionmentioning

confidence: 99%

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Yol ve Yol-Dışı Yüzeylerde Taşıt Dinamiği Benzetimleri – Karşılaştırmalı Bir Analiz

Uzunsoy¹

2018

SAÜ Fen Bilimleri Enstitüsü Dergisi

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Tyre models used in vehicle dynamics models are generally developed based on the behaviour of vehicles on specially constructed roads with prescribed adhesion characteristics. The behaviour of road and offroad vehicles on two different surfaces is different. In this study; on the basis of a tyre model that can be adapted both on the road and off-road, an approach is shown to the actual or encountered situations with simulated comparisons over standard vehicle dynamics manoeuvres. Matlab / Simulink is used as modelling and simulation environment.

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Section: Tyre Modelmentioning

confidence: 99%

Section: Tyre Modelmentioning

confidence: 99%

“…Further details about the model can be found in the studies of Allen et al, in the literature [2,7,9,12].…”

Section: Tyre Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Yol ve Yol-Dışı Yüzeylerde Taşıt Dinamiği Benzetimleri – Karşılaştırmalı Bir Analiz

Uzunsoy¹

2018

SAÜ Fen Bilimleri Enstitüsü Dergisi

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“…The lateral or longitudinal slip value at which the maximum friction µ max is located varies significantly with the road characteristics and the tyre tread. As a reference, low values are seen on competition tyres (high longitudinal and lateral tyre stiffness), and high values are obtained on loose surfaces (e.g., deep snow, gravel) [2,31,[69][70][71]. The most extended friction models are the Magic Formula [67] presented by Hans B. Pacejka, the Dugoff [14,72] tyre model, and the Brush analytical formulation [16,17,67].…”

Section: Tyre Friction Force As a Function Of Stress Frequencymentioning

confidence: 99%

Road Friction Virtual Sensing: A Review of Estimation Techniques with Emphasis on Low Excitation Approaches

2017

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Abstract:In this paper, a review on road friction virtual sensing approaches is provided. In particular, this work attempts to address whether the road grip potential can be estimated accurately under regular driving conditions in which the vehicle responses remain within low longitudinal and lateral excitation levels. This review covers in detail the most relevant effect-based estimation methods; these are methods in which the road friction characteristics are inferred from the tyre responses: tyre slip, tyre vibration, and tyre noise. Slip-based approaches (longitudinal dynamics, lateral dynamics, and tyre self-alignment moment) are covered in the first part of the review, while low frequency and high frequency vibration-based works are presented in the following sections. Finally, a brief summary containing the main advantages and drawbacks derived from each estimation method and the future envisaged research lines are presented in the last sections of the paper.

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Tire lateral force estimation and grip potential identification using Neural Networks, Extended Kalman Filter, and Recursive Least Squares

Acosta

Kanarachos

2017

Neural Comput & Applic

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A Vehicle Dynamics Tire Model for Both Pavement and Off-Road Conditions

Cited by 44 publications

References 1 publication

Yol ve Yol-Dışı Yüzeylerde Taşıt Dinamiği Benzetimleri – Karşılaştırmalı Bir Analiz

Yol ve Yol-Dışı Yüzeylerde Taşıt Dinamiği Benzetimleri – Karşılaştırmalı Bir Analiz

Road Friction Virtual Sensing: A Review of Estimation Techniques with Emphasis on Low Excitation Approaches

Tire lateral force estimation and grip potential identification using Neural Networks, Extended Kalman Filter, and Recursive Least Squares

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