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:
Oct. 28, 2008

Filed:

Jun. 29, 2005
Applicants:

Horst Pflügl, Lannach, AT;

Stefan Jakubek, Vienna, AT;

Kurt Gschweitl, Eggersdorf, AT;

Inventors:

Horst Pflügl, Lannach, AT;

Stefan Jakubek, Vienna, AT;

Kurt Gschweitl, Eggersdorf, AT;

Assignee:

AVL List GmbH, Graz, AT;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/50 (2006.01); G06G 7/62 (2006.01); G05B 13/02 (2006.01);
U.S. Cl.
CPC ...
Abstract

A method for creating a non-linear, stationary or dynamic overall model of a control variable of a combustion engine or partial systems thereof is based on simplified partial model functions that are used to determine in a weighted fashion at each desired operating point the total output quantities from the partial model function with an associated weighting function. The difference between the total output quantity and the real value is determined for all real operating points; and in areas of operating points with an absolute value of this difference that is above the preset value, a further model function with a further associated weighting function is used for which the absolute value of the difference stays below the preset value. The steps for determining the difference between the total output quantity of the associated partial model functions and a real value of the control value as well as the application of a further model and weighting function are executed as many times as needed until the statistically evaluated prediction quality of the overall model has reached a desired value.


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