The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 01, 2025

Filed:

Mar. 05, 2020
Applicant:

Zf Friedrichshafen Ag, Friedrichshafen, DE;

Inventors:

Valerie Engel, Markdorf, DE;

Andreas Wendzel, Grünkraut, DE;

Michael Wechs, Weißensberg, DE;

Maik Dreher, Tettnang, DE;

Lorenz Fischer, Friedrichshafen, DE;

Oliver Schneider, Tettnang, DE;

Christian Baumann, Friedrichshafen, DE;

Edgar Menezes, Ravensburg, DE;

Felix Spura, Friedrichshafen, DE;

Assignee:

ZF Friedrichshafen AG, Friedrichshafen, DE;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B60W 20/11 (2016.01); B60W 50/00 (2006.01); G01C 21/34 (2006.01);
U.S. Cl.
CPC ...
B60W 20/11 (2016.01); B60W 50/0097 (2013.01); G01C 21/3469 (2013.01); B60W 2050/0037 (2013.01); B60W 2050/0075 (2013.01); B60W 2300/10 (2013.01); B60W 2300/125 (2013.01); B60W 2555/60 (2020.02); B60W 2556/50 (2020.02); B60W 2720/103 (2013.01);
Abstract

A processor unit () for model-based predictive control of a vehicle () taking into account an arrival time factor is configured to calculate a trajectory for the vehicle () based at least in part on at least one arrival time factor, with the trajectory including an entire route () to a specified destination () at which the vehicle () is to arrive, and with the at least one arrival time factor influencing an arrival time of the vehicle () at the specified destination (). Additionally, the processor unit () is configured to optimize a section of the trajectory for the vehicle () for a sliding prediction horizon by executing a model-based predictive control (MPC) algorithm (), where the MPC algorithm () includes a longitudinal dynamic model () of a drive train () of the vehicle () and a cost function () to be minimized.


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