Robust optimal design for enhancing vehicle handling performance

Yunqing Zhang, Chaoyong Tang, Wei Chen, Liping Chen, Jingzhou Yang

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

A robust design procedure is applied to achieve improved vehicle handling performance as an integral part of simulation-based vehicle design. This paper presents a hybrid robust design method, the robust design process strategy (RDPS), which makes full use of the intense complementary action of characteristics between the Response Surface Methodology (RSM) and the Taguchi method, to get the robust design of the vehicle handling performance. The vehicle multi-body dynamic model is built in the platform that is constructed by the software of iSIGHT, ADAMS/CAR, and MATLAB. The design-of-experiment method of the Latin Hypercube (LHC) is used to obtain the approximate area values, and then the RDPS is utilized to achieve improved vehicle handling performance results. The validation is made by the Monte Carlo Simulation Technique (MCST) in terms of the effectiveness of the RDPS in solving robust design problems.

Original languageEnglish
JournalSAE Technical Papers
DOIs
StatePublished - 2008

Fingerprint Dive into the research topics of 'Robust optimal design for enhancing vehicle handling performance'. Together they form a unique fingerprint.

Cite this