DocumentCode
3525819
Title
Electric rear axle torque vectoring for combined yaw stability and velocity control near the limit of handling
Author
Siampis, Efstathios ; Massaro, Matteo ; Velenis, Efstathios
Author_Institution
Dept. of Automotive Eng., Cranfield Univ., Cranfield, UK
fYear
2013
fDate
10-13 Dec. 2013
Firstpage
1552
Lastpage
1557
Abstract
In this paper we propose a control architecture to stabilize a vehicle during cornering near the limit of lateral acceleration using the rear axle electric torque vectoring configuration of a hybrid vehicle. A vehicle model incorporating nonlinear tyre characteristics and coupling of tyre forces along longitudinal and lateral directions is used to calculate reference steady-state cornering conditions, as well as to design a linear controller with wheel slip ratio inputs. A backstepping controller then provides the necessary motor torques to achieve the wheel slip ratio requested by the linear controller. The controller provides stability of the lateral vehicle dynamics and regulates the longitudinal velocity to ensure feasibility of the reference trajectory.
Keywords
acceleration control; axles; control system synthesis; hybrid electric vehicles; linear systems; mechanical stability; nonlinear control systems; torque control; trajectory control; tyres; vehicle dynamics; velocity control; wheels; backstepping controller; control architecture; electric rear axle torque vectoring; handling limit; hybrid vehicle; lateral acceleration; lateral directions; lateral vehicle dynamics; linear controller design; longitudinal directions; longitudinal velocity; motor torques; nonlinear tyre characteristics; reference steady-state cornering conditions; reference trajectory; tyre forces coupling; vehicle model; vehicle stability; velocity control; wheel slip ratio inputs; yaw stability; Force; Mathematical model; Steady-state; Tires; Torque; Vehicles; Wheels;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location
Firenze
ISSN
0743-1546
Print_ISBN
978-1-4673-5714-2
Type
conf
DOI
10.1109/CDC.2013.6760103
Filename
6760103
Link To Document