Suspension State Estimation Based on Wheelbase Preview at Variable Speed

被引：0
|
作者：
Chen J. [1 ]
Xu Z. [1 ]
Zhang Z. [1 ]
机构：
[1] School of Mechanical and Vehicle Engineering, Chongqing University, Chongqing
来源：
Qiche Gongcheng/Automotive Engineering | 2023年 / 45卷 / 06期
关键词：
Kalman filtering; state estimation; suspension; wheelbase preview;
D O I：
10.19562/j.chinasae.qcgc.2023.06.014
中图分类号：
学科分类号：
摘要：
In order to realize the estimation of relative suspension speed and absolute speed of sprung mass at varying vehicle speed，and reduce the number of on-board sensors at the same time，a simplified model of vehicle suspension system with vertical wheel velocity as input is constructed without considering wheel dynamics. A method based on speed-adaptive wheelbase preview and Kalman filter algorithm is designed to estimate the relative speed of suspension and absolute speed of sprung mass of the vehicle. The simulation results show that the proposed method can accurately estimate the relative suspension speed and sprung absolute speed of vehicles traveling at variable speed through low-frequency sinusoidal road，speed bumps，pits and typical random road，and the application of speed adaptive wheelbase preview reduces the number of sensors used. © 2023 SAE-China. All rights reserved.
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页码：1040 / 1049
页数：9
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