Skip to main navigation Skip to search Skip to main content

Research on relation between two evaluation methods of random input ride comfort for off-road vehicle

  • Fan Lu*
  • , Sizhong Chen
  • , Zhicheng Wu
  • , Lin Yang
  • , Junwei Zhang
  • , Junyan Li
  • *Corresponding author for this work
  • Beijing Institute of Technology
  • China Dingyuan Automotive Proving Ground

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

Abstract

Based on ISO standard 2631 and average absorbed power method, the data of half-load sand road test of EQ2050 are processed, and the overall weighted acceleration RMS and average absorbed power are calculated respectively. By using the least squares method, the relation between the two evaluation indexes is fitted and the estimation formula of average absorbed power is proposed. By changing the load of vehicle or the test road, the vehicle is tested and the accuracy is verified. The results show that the estimation formula is independent of loading and road and it can be used to realize the rapid estimation of average absorbed power of off-road vehicles.

Original languageEnglish
Title of host publicationICMET 2010 - 2010 International Conference on Mechanical and Electrical Technology, Proceedings
Pages367-369
Number of pages3
DOIs
Publication statusPublished - 2010
Event2010 International Conference on Mechanical and Electrical Technology, ICMET 2010 - Singapore, Singapore
Duration: 10 Sept 201012 Sept 2010

Publication series

NameICMET 2010 - 2010 International Conference on Mechanical and Electrical Technology, Proceedings

Conference

Conference2010 International Conference on Mechanical and Electrical Technology, ICMET 2010
Country/TerritorySingapore
CitySingapore
Period10/09/1012/09/10

Keywords

  • Evaluation of ride comfort
  • Off-road vehicle
  • Relation

Fingerprint

Dive into the research topics of 'Research on relation between two evaluation methods of random input ride comfort for off-road vehicle'. Together they form a unique fingerprint.

Cite this