Nonlinear State Estimation of Tire-Road Contact Forces Using a 14 DoF Vehicle Model

Lawrence Louis; Dieter Schramm

doi:10.4028/www.scientific.net/AMM.165.155

Paper Titles

Characterisation of the Sound and Vibration Signal of Impact Testing on Automotive Component Materials
p.135

A Study on Validation of Fatigue Damage Clustering Analysis Technique Based on Clustering Validation Index
p.140

Experimental Study of an Internal Heat Exchanger Influence on R134a Automobile Air Conditioning System
p.145

Underhood Fluid Flow and Thermal Analysis for Passenger Vehicle
p.150

Nonlinear State Estimation of Tire-Road Contact Forces Using a 14 DoF Vehicle Model
p.155

Experimental Investigation on the Effect of Container Geometry Change to Liquid Sloshing
p.160

Noise, Vibration and Harshness (NVH) Study on Malaysian Armed Forces (MAF) Tactical Vehicle
p.165

Vehicle Speed Control Using Gain Scheduling PID Controller
p.170

Wet Sump Design for a FSAE Racing Car
p.175

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 165Nonlinear State Estimation of Tire-Road Contact...

Nonlinear State Estimation of Tire-Road Contact Forces Using a 14 DoF Vehicle Model

Abstract:

The knowledge of the wheel forces is fundamental to the development of Advanced Driver Assistance Systems (ADAS) such as Electronic Stability Control (ESC) and Anti-Roll Control (ARC). However the direct measurement of the wheel forces has been very difficult. To overcome this drawback, it has been a common practice in the industry to estimate the forces at the tire-road contact using mathematical vehicle models and estimators, especially the Extended Kalman Filter (EKF). In this contribution, the performance of the EKF is evaluated using a complete spatial model with 14 degrees of freedom.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 165)

Pages:

155-159

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.165.155

Citation:

Cite this paper

Online since:

April 2012

Authors:

Lawrence Louis, Dieter Schramm

Keywords:

Extended Kalman Flter (EKF), Nonlinear Estimation, Spatial Vehicle Model

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Göbel, M.: Potenzial der Radkraftmessung für fahrdynamische Regelsysteme. Aachen, Braunschweig (2008).

Google Scholar

[2] Doumiati, M.: A method to estimate the lateral tire force and sideslip angle of a vehicle: Experimental Validation. In: American Control Conference (2010).

DOI: 10.1109/acc.2010.5531319

Google Scholar

[3] Schramm, D.; Hiller, M.; Bardini, R.: Modellbildung und Simulation der Dynamik von Kraftfahrzeugen. Heidelberg [u. a. ] (2010).

DOI: 10.1007/978-3-540-89315-8

Google Scholar

[4] Grewal, M. S.; Andrews, A. P.: Kalman filtering. Theory and practice using MATLAB, Includes bibliographical references and index, 3. Auflage. Hoboken, N. J (2008).

Google Scholar

[5] http: /www. ipg. de.

Google Scholar