Soft sensor of vehicle state based on UKF and vehicle dynamics

Author

Zhenhai Gao ; Tao Wu

Author_Institution

State Key Lab. of Automobile Dynamic Simulation, Jilin Univ., Changchun, China

Volume

4

fYear

2011

fDate

12-14 Aug. 2011

Firstpage

2143

Lastpage

2147

Abstract

A method of tire force state estimation is presented, which bases on Unscented Kalman Filter algorithm and a 7 degree of freedom vehicle dynamics model. Without available tire model, so it can still estimate the tire forces as well as vehicle longitudinal and lateral speed synchronously by this method. And a comparison with simulation result of CarSim is showed that the soft-sensing algorithm is effective. Therefore, it provides a new approach in the development of ESP and other advanced chassis electronic control system.

Keywords

Kalman filters; sensors; state estimation; tyres; vehicle dynamics; CarSim; ESP; UKF; chassis electronic control system; soft sensor; tire force state estimation; unscented Kalman filter algorithm; vehicle dynamics; vehicle dynamics model; Equations; Kalman filters; Mathematical model; Tires; Vehicle dynamics; Vehicles; Wheels; dynamics model; soft sensor; tire force; unscented kalman filter; vehicle state estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on

Conference_Location

Harbin, Heilongjiang, China

Print_ISBN

978-1-61284-087-1

Type

conf

DOI

10.1109/EMEIT.2011.6023524

Filename

6023524