• Apr 24, 2017 News! Vol.6, No.4 has been indexed by EI (Inspec).   [Click]
  • Apr 24, 2017 News! Vol.6, No.3 has been indexed by EI (Inspec).   [Click]
  • Jun 26, 2017 News!Vol 7, No 4 has been published with online version 12 original aritcles from 6 countries are published in this issue   [Click]
General Information
    • ISSN: 2010-3697
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: Engineering & Technology Digital Library, ProQuest, Crossref, Electronic Journals Library, Google Scholar, EI (INSPEC, IET).
    • E-mail ijmo@iacsitp.com
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2013 Vol.3(1): 20-24 ISSN: 2010-3697
DOI: 10.7763/IJMO.2013.V3.227

Virtual Optimization of the Interaction between Tires and the Vehicle

F. Niedermeier, U. Peckelsen, F. Gauterin, and M. Gobbi

Abstract—This article presents a new method to virtually optimize the tire–vehicle interaction in the early vehicle development phase. The basic principle of the method is the definition of characteristic values (CVs) for the tire and the specification of objective maneuver criteria (OMC) describing the driving behavior using a double-track model for the vehicle. The first ones are the design variables, the second ones are used to calculate the fitness/objective function of the optimization. The strategy for their choice is presented and illustrated with examples. After having analyzed this kind of optimization problem, a genetic algorithm proved to be the most suitable, especially if taking into account the presence of many local optima. Its parameter settings and its implementation into the structure of the algorithm are presented. Finally, the method is validated in a case study: a ―real‖ tire (parameterized on a tire test bench) could be reproduced using only its driving behavior as an input. Finally, future prospects and sample applications for this method are presented.

Index Terms—Genetic algorithm, optimization, tire characteristics, vehicle dynamic.

F. Niedermeier and U. Peckelsen are with BMW Group, Munich, 80796 Germany (e-mail: Florian.Niedermeier@bmw.de, Ulrico.Peckelsen@bmw.de).
F. Gauterin is with vehicle technology at Karlsruher Institute of Technology, Karlsruhe, 76131, Germany (e-mail: Frank.Gauterin@kit.edu).
M. Gobbi is with Optimal Design at Politecnico di Milano, Milan, 20133, Italy (e-mail: Massimiliano.Gobbi@polimi.it).

[PDF]

Cite: F. Niedermeier, U. Peckelsen, F. Gauterin, and M. Gobbi, "Virtual Optimization of the Interaction between Tires and the Vehicle," International Journal of Modeling and Optimization vol. 3, no. 1, pp. 20-24, 2013.

Copyright © 2008-2015.International Journal of Modeling and Optimization. All rights reserved.
E-mail: ijmo@iacsitp.com