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:
Mar. 30, 2021

Filed:

Apr. 06, 2020
Applicant:

Toyota Jidosha Kabushiki Kaisha, Toyota, JP;

Inventors:

Harufumi Muto, Miyoshi, JP;

Yuki Ikejiri, Nishio, JP;

Akihiro Katayama, Toyota, JP;

Yosuke Hashimoto, Nagakute, JP;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
F02D 41/22 (2006.01); F02M 35/10 (2006.01); F02M 26/13 (2016.01); F02D 41/00 (2006.01); F02D 9/08 (2006.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
F02D 41/22 (2013.01); F02D 9/08 (2013.01); F02D 41/0052 (2013.01); F02D 41/0077 (2013.01); F02M 26/13 (2016.02); F02M 35/10222 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); F02D 2200/0406 (2013.01); F02D 2200/0414 (2013.01); F02D 2200/101 (2013.01); F02D 2200/70 (2013.01);
Abstract

A learned neural network in weights using at least the four parameters of the engine load, engine speed, intake pressure inside the intake passage downstream of the throttle valve (), and amount of intake air fed into the engine as input parameters of the neural network and using a target EGR rate as training data is stored. At the time of engine operation, the learned neural network is used to estimate the target EGR rate from the above parameters and abnormality of the exhaust gas recirculation system is detected based on the difference between the estimated value of the target EGR rate and the target EGR rate.


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