卡西姆
卡尔曼滤波器
滑移角
打滑(空气动力学)
表(数据库)
汽车工程
摩擦系数
滑移率
制动距离
计算机科学
车辆动力学
工程类
模拟
方向盘
人工智能
数据挖掘
航空航天工程
复合材料
材料科学
制动器
作者
Chih-Hsien Hsu,Sheng-Ping Ni,Tesheng Hsiao
出处
期刊:IEEE Control Systems Letters
日期:2022-01-01
卷期号:6: 2168-2173
被引量:4
标识
DOI:10.1109/lcsys.2021.3137722
摘要
The tire-road friction coefficient conveys critical information for advanced vehicular active safety systems to significantly enhance driving safety and maneuverability. In this letter, a look-up table based method is proposed to estimate the tire-road friction coefficient of each driving wheel in real time. The table that represents the relations among the normalized longitudinal tire force, tire slip ratio and slip angle, and the tire-road friction coefficient is constructed off-line by collecting data from common onboard sensors under different driving scenarios. By applying the perspective projection procedure, only data from two different road surfaces are required, which facilitates table construction. Then the table is used for estimating the tire-road friction coefficient in real time and the results are post-processed by the Kalman filter to render smooth and reliable estimates. Simulations in the CarSim-Simulink environment are conducted to verify the satisfactory performance of the proposed estimation method for various driving scenarios and sudden changes of road conditions.
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