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:
May. 12, 2026

Filed:

May. 07, 2024
Applicant:

King Fahd University of Petroleum and Minerals, Dhahran, SA;

Inventors:

Muhammad Khalid, Dhahran, SA;

Huzaifa Rauf, Dhahran, SA;

Naveed Arshad, Dhahran, SA;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60L 58/16 (2019.01); G06N 20/00 (2019.01); H01M 10/0525 (2010.01);
U.S. Cl.
CPC ...
B60L 58/16 (2019.02); G06N 20/00 (2019.01); B60L 2240/545 (2013.01); H01M 10/0525 (2013.01);
Abstract

A method and a system for predicting a battery capacity degradation for an electric vehicle having a battery are provided. The method comprises extracting and pre-processing a raw dataset comprising a plurality of battery loss indicators and a plurality of battery loss values each corresponding to a plurality of time steps to obtain a pre-processed dataset. The method further comprises selecting a loss indicator subset from the pre-processed dataset at a first time step and a second time step based on a smart feature selection (SFS) algorithm. The method further comprises training a machine learning model with each battery loss indicator at the first and second time steps and the battery loss value at the first time step. The method further comprises determining the battery loss value at the second time step with the machine learning model to predict the battery capacity degradation.


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