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:
May. 27, 2025

Filed:

May. 14, 2021
Applicant:

Fpt Motorenforschung Ag, Arbon, CH;

Inventors:

Johannes Ritzmann, Bulach, CH;

Oscar Chinellato, Tubach, CH;

Georg Lins, Wallisellen, CH;

Mauro Salazar, Breganzona, CH;

Christopher Onder, Weisslingen, CH;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B60W 20/11 (2016.01); B60W 10/06 (2006.01); B60W 10/08 (2006.01); B60W 20/16 (2016.01); B60W 30/188 (2012.01); B60W 50/00 (2006.01);
U.S. Cl.
CPC ...
B60W 20/11 (2016.01); B60W 10/06 (2013.01); B60W 10/08 (2013.01); B60W 20/16 (2016.01); B60W 30/188 (2013.01); B60W 50/00 (2013.01); B60W 2050/0031 (2013.01); B60W 2510/0208 (2013.01); B60W 2510/0638 (2013.01); B60W 2510/0666 (2013.01); B60W 2510/085 (2013.01); B60W 2510/1005 (2013.01); B60W 2510/244 (2013.01);
Abstract

A method for controlling a vehicle on a mission, the vehicle comprising a first and a second power source for driving the vehicle itself, wherein the first power source comprises an engine configured to generate power from fuel and an after treatment system coupled to the combustion engine, the method comprising the steps of solving a convex first optimal control problem based on a mathematical model of the vehicle, the first optimal control problem involving state variables for the after treatment system, a set of constraints, and a cost function having control variables that include a discrete variable and a continuous variable; the solving including an initial determination of the discrete variable and an iterative execution of minimizing the cost function after replacement of the discrete variable with respect to the continuous variable, updating the discrete variable, and verifying the satisfaction of a convergence criterion.


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