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Vehicle parameter identification and road roughness estimation using vehicle responses measured in field tests

  • Qingxia Zhang
  • , Jilin Hou
  • , Xiaoyang Hu
  • , Li Yuan
  • , Łukasz Jankowski
  • , Xinhao An
  • , Zhongdong Duan
  • Dalian Minzu University
  • Dalian University of Technology
  • Harbin Institute of Technology Shenzhen
  • Institute of Fundamental Technological Research of the Polish Academy of Sciences

Research output: Contribution to journalArticlepeer-review

Abstract

Accurate information about vehicle parameters and road roughness is of great significance in vehicle dynamic analysis, road driving quality, etc. In this study, a method for estimating vehicle parameters and road roughness was developed using the measured vehicle responses from field tests which is efficient, economical, and accurate. First, the full-vehicle model was introduced. Then, vehicle modal parameters were identified using the consequent free responses of a vehicle passing over bumps. Second, the expression of the vehicle frequency response function (FRF) with respect to the wheel contact point was derived from the vehicle equation of motion, and a road roughness estimation method based on the vehicle FRF was developed. Third, field tests in which the vehicle passes over bumps were performed for vehicle model identification. Finally, field tests for road roughness estimation were carried out using a calibrated vehicle to verify the effectiveness of the proposed methods.

Original languageEnglish
Article number111348
JournalMeasurement: Journal of the International Measurement Confederation
Volume199
DOIs
StatePublished - Aug 2022
Externally publishedYes

Keywords

  • Frequency response function (FRF)
  • Modal identification
  • Road roughness
  • Vehicle parameters
  • Vehicle response

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