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. 25, 2023

Filed:

Nov. 19, 2019
Applicants:

The Trustees of Columbia University IN the City of New York, New York, NY (US);

Mcmaster University, Ontario, CA (US);

Inventors:

Ephram Chemali, Ontario, CA;

Matthias Preindl, New York, NY (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H01M 10/48 (2006.01); H02J 7/00 (2006.01); G01R 31/392 (2019.01); G01R 31/382 (2019.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01); H01M 10/0525 (2010.01); G06N 20/20 (2019.01);
U.S. Cl.
CPC ...
H01M 10/486 (2013.01); G01R 31/382 (2019.01); G01R 31/392 (2019.01); G06N 3/0454 (2013.01); H02J 7/0048 (2020.01); G06N 3/08 (2013.01); G06N 20/20 (2019.01); H01M 10/0525 (2013.01);
Abstract

An approach to control or monitoring of battery operation makes use of an artificial neural network (ANN), which receives one or more battery attributes for a Lithium ion (Li-ion) battery, and determines, based on the received one or more battery attributes, a state-of-charge (SOC) and/or a state-of-health (SOH) estimate for the Li-ion battery. The ANN includes at least one of a recurrent neural network (RNN) and a convolutional neural network (CNN), and the series of values of the battery attributes includes at one of battery voltage values, battery current values, and battery temperature values.


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