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:
Jun. 29, 2021

Filed:

Mar. 31, 2020
Applicant:

Toyota Jidosha Kabushiki Kaisha, Toyota, JP;

Inventors:

Harufumi Muto, Miyoshi, JP;

Akihiro Katayama, Toyota, JP;

Yosuke Hashimoto, Nagakute, JP;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
F02D 41/02 (2006.01); F02D 41/14 (2006.01); F01N 11/00 (2006.01);
U.S. Cl.
CPC ...
F02D 41/0295 (2013.01); F01N 11/007 (2013.01); F01N 2550/02 (2013.01); F01N 2560/025 (2013.01); F01N 2900/1624 (2013.01); F02D 41/1454 (2013.01); F02D 2200/0814 (2013.01);
Abstract

An oxygen storage amount estimation device estimates an oxygen storage amount of a catalyst disposed in an exhaust passage of an internal combustion engine. The oxygen storage amount estimation device includes a storage device and processing circuitry. The storage device stores mapping data, which is data specifying a mapping that uses multiple variables including at least an excess-deficient amount variable and a previous value of a storage amount variable as an input to output a value of the storage amount variable. The processing circuitry executes a storage amount variable calculation process that repeatedly calculates a value of the storage amount variable based on an output of the mapping using the multiple variables and an operation process that operates predetermined hardware based on a calculation result of the storage amount variable calculation process. The mapping data includes data learned by machine learning.


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