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:
Feb. 25, 2025

Filed:

Nov. 14, 2019
Applicant:

Zf Friedrichshafen Ag, Friedrichshafen, DE;

Inventors:

Timon Busse, Munich, DE;

Matthias Friedl, Friedrichshafen, DE;

Timo Wehlen, Friedrichshafen, DE;

Valerie Engel, Markdorf, DE;

Christian Baumann, Friedrichshafen, DE;

Assignee:

ZF Friedrichshafen AG, Friedrichshafen, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 10/08 (2006.01); B60W 10/18 (2012.01); B60W 50/00 (2006.01);
U.S. Cl.
CPC ...
B60W 50/0097 (2013.01); B60W 10/08 (2013.01); B60W 10/18 (2013.01); B60W 2050/0022 (2013.01); B60W 2050/0031 (2013.01); B60W 2510/08 (2013.01); B60W 2510/18 (2013.01);
Abstract

A processor unit () is configured for executing an MPC algorithm () for model predictive control of a first component () of a motor vehicle () and of a second component () of the motor vehicle (). The MPC algorithm () includes a cost function () to be minimized and a dynamic model () of the motor vehicle (). The dynamic model () includes a loss model () of the motor vehicle (). The loss model () describes an overall loss of the motor vehicle (). The cost function () includes a first term, which represents the overall loss of the motor vehicle (). The overall loss depends on a combination of operating values, which includes a first value of a first operating parameter and a second value of a second operating parameter. The processor unit () is also configured for determining, by executing the MPC algorithm () as a function of the loss model (), that combination of operating values, by which the first term of the cost function () is minimized.


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