Virtual Sensor for Vehicle Sideslip Angle Based on Extended Kalman Filter

Author

Shenghui, Pan ; Chuan, Lin ; Menghe, Li ; Lezhu, Chen

Author_Institution

Dept. of Electr. Inf. & Control Eng., Guangxi Univ. of Technol., Liuzhou, China

Volume

3

fYear

2011

fDate

6-7 Jan. 2011

Firstpage

1131

Lastpage

1134

Abstract

The vehicle sideslip angle is one of the most important variables to evaluate vehicle stability during dynamic maneuvers. The vehicle dynamic represented by the single track vehicle model with linear tire is firstly introduced, a novel method of virtual sensor based on extended Kalman filter for the estimation of vehicle sideslip angle is proposed. Results of simulation using CarSim and co-simulation between CarSim and Simulink show an accurate and low-cost estimation of vehicle sideslip angle is achieved and virtual sensor estimation method is feasible in measurement of vehicle state.

Keywords

Kalman filters; automobiles; sensors; slip; tyres; vehicle dynamics; CarSim; Simulink; dynamic maneuvers; extended Kalman filter; linear tire; low-cost estimation; single track vehicle model; vehicle sideslip angle; vehicle stability; virtual sensor estimation; Kalman filters; Mathematical model; Observers; Tires; Vehicle dynamics; Vehicles; Extended Kalman Filter; Vehicle Sideslip Angle; Virtual Sensor;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on

Conference_Location

Shangshai

Print_ISBN

978-1-4244-9010-3

Type

conf

DOI

10.1109/ICMTMA.2011.851

Filename

5721688