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Zhang Q.♦, Hou J.♦, Hu X.♦, Yuan L.♦, Jankowski Ł., An X.♦, Duan Z.♦, Vehicle parameter identification and road roughness estimation using vehicle responses measured in field tests,
MEASUREMENT, ISSN: 0263-2241, DOI: 10.1016/j.measurement.2022.111348, Vol.199, pp.111348-1-111348-17, 2022 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. Keywords:
road roughness, vehicle parameters, modal identification, frequency response function (FRF), vehicle response Affiliations:
| Zhang Q. | - | other affiliation | | Hou J. | - | Dalian University of Technology (CN) | | Hu X. | - | other affiliation | | Yuan L. | - | Harbin Institiute of Technology (CN) | | Jankowski Ł. | - | IPPT PAN | | An X. | - | Dalian University of Technology (CN) | | Duan Z. | - | Shenzhen Graduate School of Harbin Institute of Technology (CN) |
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