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

• Published in: Measurement : journal of the International Measurement Confederation Vol. 199; p. 111348
• Main Authors: Zhang, Qingxia, Hou, Jilin, Hu, Xiaoyang, Yuan, Li, Jankowski, Łukasz, An, Xinhao, Duan, Zhongdong
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.08.2022
• Subjects: Frequency response function (FRF); Modal identification; Road roughness; Vehicle parameters; Vehicle response; Vehicle response; Vehicle parameters; Modal identification; Road roughness; Frequency response function (FRF)
• ISSN: 0263-2241; 1873-412X
• DOI: 10.1016/j.measurement.2022.111348

•Vehicle modal parameters are identified using the free responses from the field tests of a vehicle passing over humps.•The road roughness can be estimated accurately using the measured vehicle responses from the field tests.•The proposed method can be easily and effectively performed with a few accelerometers only. 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.