Stiffness matching and ride comfort optimization of heavy vehicle's suspension based on ADAMS

Hui Pang, Hongyan Li, Zongde Fang, Jifeng Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

In order to reasonably match suspension stiffness and realize the optimization of vehicle ride comfort, a time-domain virtual prototyping model of the 8×4 heavy vehicle is established based on dynamic software ADAMS, and its vertical vibration responses are simulated and analyzed on road level B. After that, an optimal design method for heavy vehicle's suspension system is put forward. In this proposed method, the first, the second axle suspension stiffness and the balance suspension stiffness are taken as the optimal variables and the maximum values of Z-direction power spectral density (PSD) of the cab and cargo boxes mass center are chosen as the optimal target. By using SQP (Sequential Quadratic Programming) algorithms to conduct optimizing calculation, thus the optimal suspension stiffness parameters are obtained, which promotes and improves the heavy vehicle's ride comfort.

Original languageEnglish
Title of host publicationFrontiers of Manufacturing and Design Science
Pages1734-1738
Number of pages5
DOIs
StatePublished - 2011
Event2010 International Conference on Frontiers of Manufacturing and Design Science, ICFMD2010 - Chongqing, China
Duration: 11 Dec 201012 Dec 2010

Publication series

NameApplied Mechanics and Materials
Volume44-47
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference2010 International Conference on Frontiers of Manufacturing and Design Science, ICFMD2010
Country/TerritoryChina
CityChongqing
Period11/12/1012/12/10

Keywords

  • ADAMS
  • Heavy vehicle
  • Ride comfort optimization
  • Stiffness matching
  • Suspension

Fingerprint

Dive into the research topics of 'Stiffness matching and ride comfort optimization of heavy vehicle's suspension based on ADAMS'. Together they form a unique fingerprint.

Cite this