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:
Sep. 26, 2023

Filed:

Mar. 31, 2021
Applicants:

Toyota Research Institute, Inc., Los Altos, CA (US);

The Board of Trustees of the Leland Stanford Junior University, Stanford, CA (US);

Massachusetts Institute of Technology, Cambridge, MA (US);

Inventors:

William C. Chueh, Stanford, CA (US);

Bruis van Vlijmen, San Francisco, CA (US);

William E. Gent, Redwood City, CA (US);

Vivek Lam, Stanford, CA (US);

Patrick K. Herring, Mountain View, CA (US);

Chirranjeevi Balaji Gopal, San Jose, CA (US);

Patrick A. Asinger, Boston, MA (US);

Benben Jiang, Cambridge, MA (US);

Richard Dean Braatz, Arlington, MA (US);

Xiao Cui, Stanford, CA (US);

Gabriel B. Crane, Stanford, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G01R 31/3842 (2019.01); G01R 31/392 (2019.01); G06N 20/00 (2019.01); G01R 31/367 (2019.01); B60L 58/16 (2019.01); G01R 31/36 (2020.01);
U.S. Cl.
CPC ...
G01R 31/3842 (2019.01); B60L 58/16 (2019.02); G01R 31/367 (2019.01); G01R 31/3648 (2013.01); G01R 31/392 (2019.01); G06N 20/00 (2019.01);
Abstract

System, methods, and other embodiments described herein relate to improving the estimation of battery life. In one embodiment, a method includes measuring electrochemical data of a battery cell associated with an electrochemical reaction triggered by a test during a diagnostic cycle. The method also includes determining a feature associated with the degradation of the battery cell from the electrochemical data. The method also includes predicting an end-of-life (EOL) of the battery cell by using the feature in a machine learning (ML) model.


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