Uncertainty Analysis of Vehicle Suspension Systems Based on Polynomial Chaos Methods

Author

Ling Feng ; Ma Ze-Yu ; Tang Zheng-Fei ; Chen Yong-Fu

Author_Institution

Center for Comput.-Aided Design, Huazhong Univ. of Sci. & Technol., Wuhan, China

fYear

2013

fDate

6-7 Nov. 2013

Firstpage

732

Lastpage

735

Abstract

In this paper, a parametrical uncertainty analysis of vehicle suspension system was presented. Four degree-of-freedom(DOF) mathematical model of vehicle passive suspension has been set up and uncertainty of the model has been studied using polynomial chaos methods. By comparing with Monte Carlo simulation method, the results show that polynomial chaos methods are more efficient than Monte Carlo method and are a relatively powerful approach for the simulation of multibody dynamic system with uncertainties.

Keywords

Monte Carlo methods; automotive components; chaos; polynomials; uncertainty handling; vehicle dynamics; Monte Carlo simulation method; four DOF mathematical model; four degree-of-freedom mathematical model; multibody dynamic system; parametrical uncertainty analysis; polynomial chaos methods; vehicle suspension systems; Chaos; Polynomials; Stochastic processes; Suspensions; Uncertainty; Vehicle dynamics; Vehicles; electromagnetic; field-circuit coupling; flux density; loss; traction transformer;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Design and Engineering Applications, 2013 Fourth International Conference on

Conference_Location

Zhangjiajie

Print_ISBN

978-1-4799-2791-3

Type

conf

DOI

10.1109/ISDEA.2013.575

Filename

6843552