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:
Apr. 19, 2022

Filed:

Jul. 23, 2019
Applicant:

Toyota Jidosha Kabushiki Kaisha, Toyota, JP;

Inventors:

Junta Izumi, Nagoya, JP;

Masahiko Mitsui, Toyota, JP;

Juni Yasoshima, Toyota, JP;

Kotaro Shibuya, Nagoya, JP;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01R 31/367 (2019.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G01R 31/387 (2019.01);
U.S. Cl.
CPC ...
G01R 31/367 (2019.01); G01R 31/387 (2019.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01);
Abstract

A trained neural network model is a neural network model which has been trained based on Nyquist plots of a plurality of modules of which full charge capacity is within a reference range. A processing system determines to which of a first group of modules of which full charge capacity is within the reference range and a second group of modules of which full charge capacity is out of the reference range a module belongs, based on discriminant analysis in which at least one feature value extracted from the Nyquist plot of the module is adopted as an explanatory variable. When the processing system determines that the module M belongs to the first group, the processing system estimates a full charge capacity of the module by using the trained neural network model.


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