The scope of this paper is the development of a model predictive control allocation (MPCA)
algorithm for over-actuated electric vehicles with individually steered and driven wheels. The …

This contribution describes a real-time model predictive control allocation algorithm for over-
actuated electric vehicles with individually driven wheels. The proposed method allows to …

This contribution proposes a nonlinear model predictive control allocation algorithm for
control of an over-actuated electric vehicle in challenging driving situations. Based on a …

A model predictive control (MPC) approach for the integrated control of active front steering
(AFS), direct yaw moment control (DYC) and motor torque allocation in four in-wheel driving …

To improve the vehicle stability of an electric vehicle (EV) with four in‐wheel motors, the
authors investigate the use of a non‐linear control allocation scheme based on model …

In this paper we propose a constrained optimal control architecture for combined velocity,
yaw and sideslip regulation for stabilisation of the vehicle near the limit of lateral …

In this paper we propose a constrained optimal control architecture to stabilize a vehicle
near the limit of lateral acceleration using the rear axle electric torque vectoring …

We present torque vectoring algorithm for the electric car with four independent drives using
the model predictive control (MPC). The presented method uses the linearized model of the …

In this paper we present two torque vectoring control algorithms for an electric racing car
with independent all-wheel drive. A nonlinear, two-track vehicle model is used for the design …

Propulsion control systems for electrified over-actuated vehicles of ten need to cope with
and exploit redundancies within the drive-train. In addition to optimal utilization of the …