Title :
Predictive approaches to rear axle regenerative braking control in hybrid vehicles
Author :
Falcone, P. ; Pakazad, S. Khoshfetrat ; Solyom, S.
Author_Institution :
Dept. of Signals & Syst., Chalmers Univ. of Technol., Goteborg, Sweden
Abstract :
We consider the problem of rear axle regenerative braking maximization in hybrid vehicles. We focus on cornering maneuvers on low friction surfaces, where excessive braking at the rear axle might induce vehicle instability. We present and compare two predictive control approaches, where the objective is maximizing the regenerative braking and distributing the friction braking at the four wheels, while (i) delivering the braking force requested by the driver, (ii) preserving vehicle stability and (iii) fulfilling system constraints, e.g., bounds on regenerative braking set by the hybrid powertrain. We present simulation results in combined braking and cornering manoeuvres, showing that the proposed approaches are able to effectively balance regenerative and friction braking, while preserving vehicle stability.
Keywords :
predictive control; regenerative braking; vehicle dynamics; braking force; cornering maneuvers; excessive braking; friction braking; hybrid powertrain; hybrid vehicles; low friction surfaces; predictive control; rear axle regenerative braking control; rear axle regenerative braking maximization; vehicle instability; Axles; Buffer storage; Control systems; Friction; Predictive control; Stability; Vehicle driving; Vehicle dynamics; Vehicle safety; Wheels;
Conference_Titel :
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3871-6
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2009.5400611