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:
Dec. 12, 2023

Filed:

Apr. 30, 2021
Applicant:

International Engine Intellectual Property Company, Llc, Lisle, IL (US);

Inventors:

Askin Minaz, Aurora, IL (US);

Ravi Rayala, Aurora, IL (US);

Jungme Park, Oxford, MI (US);

Rahul Rajampeta Rahul Rajampeta, Naperville, IL (US);

Manoj Vemuri, Flint, MI (US);

Sriram Jayachandran Raguraman, Flint, MI (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
F02D 41/18 (2006.01); G06N 3/08 (2023.01); F02D 41/14 (2006.01);
U.S. Cl.
CPC ...
F02D 41/182 (2013.01); F02D 41/1405 (2013.01); F02D 41/187 (2013.01); G06N 3/08 (2013.01);
Abstract

The Method and Apparatus of Predicting MAF Sensor Information includes training multiple candidate Artificial Neural Network (ANN) architectures using training data, and then selecting an ANN architecture from the candidates using an automated ANN architecture selection algorithm and testing data. An intelligent engine intake MAF prediction or estimation system using the selected ANN architecture then provides an engine intake Mass Air Flow (MAF) output variable, which is used along with the output of a hot-wire type engine intake MAF sensor. The system is deployed into the engine controller. The training and testing sets of data include input variables from engine sensors and/or actuators that relate to engine intake MAF, and may be acquired by testing a target engine. Selecting the optimal ANN architecture may be based on Root Mean Squared Error (RMSE) analysis using the automated ANN architecture algorithm and the training set of data.


Find Patent Forward Citations

Loading…