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 …

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 …

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 …

Optimal control methods are being employed to solve the energy management problem
between the energy convertors of hybrid automotive power trains. The focus thereby was on …

This paper presents the use of telematics information for a predictive powertrain control in
hybrid electric vehicles. By estimating the inclination and velocity profile of the road ahead …

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 …

The paper discusses novel computationally efficient torque distribution strategies for electric
vehicles with individually controlled drivetrains, aimed at minimizing the overall power …

A Vehicle with multiple drivetrains, like a hybrid electric one, is an over-actuated system that
means there is an infinite number of combinations of torques that individual drivetrains can …

Electrification of vehicle propulsion is also applied to motorcycles, allowing for new power
train architectures like all-wheel driven motorcycles by using hub motors. The additional …

The new vehicle platforms for electric vehicles (EVs) that are becoming available are
characterised by actuator redundancy, which makes it possible to jointly optimise different …