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Predictive Approaches to Rear Axle Regenerative Braking Control in Hybrid Vehicles

Paolo Falcone (Institutionen för signaler och system, Mekatronik) ; Sina Khoshfetrat Pakazad ; Stefan Solyom
48th IEEE Conference on Decision and Control and 28th Chinese Control Conference (2009)
[Konferensbidrag, refereegranskat]

We consider the problem of controlling the regenerative braking at rear axle in hybrid vehicles. In particular, the focus of this work is the maximization of regenerative braking in cornering maneuvers on low friction surfaces. In such cases, excessive braking at the rear axle might induce 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 scenarios, showing that the proposed approaches are able to distribute the requested braking at the four wheels in order to counteract undesired effects, on vehicle stability, introduced by regenerative braking.

Nyckelord: Model Predictive Control, Hybrid Vehicles, Regenerative Braking

Denna post skapades 2009-07-09. Senast ändrad 2017-06-28.
CPL Pubid: 95574


Institutioner (Chalmers)

Institutionen för signaler och system, Mekatronik (2005-2017)



Chalmers infrastruktur