METHOD FOR SORTING A SET OF BATTERIES BASED ON A MACHINE CLASSIFICATION MODEL

A computer-implemented method for the machine learning of a model for classifying batteries into two categories: functional or defective, the method comprising the following steps: acquiring, on a set of batteries of the same type, a group of measurements characteristic of the operation of a battery...

Full description

Saved in:
Bibliographic Details
Main Authors OUKASSI, Sami, SECOUARD, Christophe
Format Patent
LanguageEnglish
Published 05.10.2023
Subjects
MEASURING
MEASURING ELECTRIC VARIABLES
MEASURING MAGNETIC VARIABLES
PHYSICS
TESTING
Online AccessGet full text

Cover

More Information
Summary:A computer-implemented method for the machine learning of a model for classifying batteries into two categories: functional or defective, the method comprising the following steps: acquiring, on a set of batteries of the same type, a group of measurements characteristic of the operation of a battery, carrying out complete cycling of each battery of the set and measuring at least one curve from among a charge curve or a discharge curve of the battery, determining, for each battery, a label of belonging to the functional or defective category by comparing at least one measured curve with a reference curve characterizing the correct operation of the battery, and carrying out supervised training of a model for classifying a battery according to the two categories based on the groups of measurements and on the label of belonging to one of the two categories.
Bibliography:Application Number: US202318127553