Zf Friedrichshafen Ag

Nils Mühl

Ulrich Mair

Knut Heidsieck

Peter Kontermann

Holger Lohmüller

Alexander Neu

Michael Fleps-Dezasse

Michel Wilde

Philipp Grevemeyer

The disclosure relates to a process of ascertaining an input variable of a vehicle actuator using a model-based predictive control. A processor unit accesses trajectory information and a state data set, which represents a state of surroundings of a vehicle, the vehicle, and/or the vehicle, by an interface. The processor unit carries out a secondary condition algorithm in order to calculate a secondary condition and an MPC algorithm for a model-based predictive control. By carrying out the secondary condition algorithm, a secondary condition is ascertained for the MPC algorithm based on the trajectory information and the state data set. By carrying out the MPC algorithm, an input variable is ascertained for an actuator of the vehicle based on the secondary condition. This is carried out such that in a future predicted trajectory, the vehicle follows the specified trajectory with a specified degree of reliability.

Ascertaining an input variable of a vehicle actuator using a model-based predictive control

A transverse control arm () of an axle arrangement for a vehicle having two transverse control arm struts () and at least three kinematics points (). Each of the two transverse control arm struts () has a carrier hub end () and a carriage end (). At least one of the two transverse control arm struts () has a curvature () in a spatial direction, and this spatial direction being along a vertical axis that extends generally perpendicular relative to the plane defined by the at least three kinematic points ().

Transverse control arm

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Friedrichshafen, Germany

Nils Mühl