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. 14, 2025

Filed:

Oct. 30, 2023
Applicant:

Toyota Jidosha Kabushiki Kaisha, Toyota, JP;

Inventors:

Junta Izumi, Nagoya, JP;

Akihiro Watanabe, Seto, JP;

Toshiki Hori, Seto, JP;

Misato Baba, Toyota, JP;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01R 31/371 (2018.12); B60L 53/80 (2018.12); B60L 58/12 (2018.12); B60L 58/18 (2018.12); G01R 31/367 (2018.12); G01R 31/3835 (2018.12); H01M 10/42 (2005.12); H01M 10/44 (2005.12);
U.S. Cl.
CPC ...
G01R 31/371 (2018.12); B60L 53/80 (2019.01); B60L 58/12 (2019.01); B60L 58/18 (2019.01); G01R 31/367 (2018.12); G01R 31/3835 (2018.12); H01M 10/4257 (2012.12); H01M 10/441 (2012.12); B60L 2240/70 (2012.12); H01M 2010/4271 (2012.12); H01M 2010/4278 (2012.12); H01M 2220/20 (2012.12);
Abstract

A battery management system includes a control device and a storage. The storage stores at least one trained neural network. The trained neural network includes an input layer that accepts input data that represents a numeric value for each pixel in an image where a prescribed CCV waveform (a CCV charging waveform or a CCV discharging waveform) of a secondary battery is drawn in a region constituted of a predetermined number of pixels, and when input data is input to the input layer, the trained neural network outputs a full charge capacity of the secondary battery. The control device estimates the full charge capacity of a target battery by inputting input data obtained for the target battery into the input layer of the trained neural network.


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