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:
Jul. 07, 2020

Filed:

Jan. 25, 2018
Applicant:

Shenzhen Hynn Technologies Co., Ltd., Shenzhen, CN;

Inventors:

Shaohua Zhao, Shenzhen, CN;

Shoumo Wang, Shenzhen, CN;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01R 19/165 (2006.01); H01M 10/0525 (2010.01); G01R 31/36 (2020.01); H01M 10/48 (2006.01); H01M 10/42 (2006.01); H01M 10/44 (2006.01);
U.S. Cl.
CPC ...
G01R 19/16542 (2013.01); G01R 31/3648 (2013.01); H01M 10/0525 (2013.01); H01M 10/4285 (2013.01); H01M 10/446 (2013.01); H01M 10/482 (2013.01); H01M 2220/20 (2013.01);
Abstract

This application has disclosed a method, a non-transitory storage medium and a battery grading apparatus for automatically grading a lithium-ion battery. The method comprises: 1) preprocessing a cell of the lithium-ion battery with formation and grading, obtaining measured current and/or voltage data of charging/discharging during the process of formation and grading, and preprocessing the obtained current and/or voltage data; 2) plotting the preprocessed data into a measurement curve, matching it with a pre-stored standard reference curve for charging and discharging, and calculating a linear distance, a square of the linear distance and a first order differential distance between the measurement curve and the standard reference curve; calculating weighted distances and weighted summation distances for the calculated linear distance, square of the linear distance and first order differential distance respectively; and comparing and matching the weighted summation distances with a preset threshold range for each grading level and outputting a matching outcome.


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