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:
Dec. 09, 2025

Filed:

Jun. 23, 2025
Applicant:

Shandong University, Jinan, CN;

Inventors:

Kailong Liu, Jinan, CN;

Dajun Du, Jinan, CN;

Minrui Fei, Jinan, CN;

Heng Li, Jinan, CN;

Shiwen Zhao, Jinan, CN;

Yu Wang, Jinan, CN;

Yue Yu, Jinan, CN;

Bin Duan, Jinan, CN;

Chen Peng, Jinan, CN;

Qi'ao Peng, Jinan, CN;

Assignee:

SHANDONG UNIVERSITY, Jinan, CN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G01R 31/52 (2020.01); G01R 31/36 (2020.01); G01R 31/367 (2019.01); G01R 31/3835 (2019.01); G01R 31/392 (2019.01); G01R 31/396 (2019.01);
U.S. Cl.
CPC ...
G01R 31/52 (2020.01); G01R 31/3646 (2019.01); G01R 31/367 (2019.01); G01R 31/3835 (2019.01); G01R 31/392 (2019.01); G01R 31/396 (2019.01);
Abstract

The present invention discloses a method for diagnosing micro-short circuit fault of a battery, comprising: acquiring real-time voltage data of each battery in battery module of electric vehicle, obtaining voltage matrix after noise elimination; calculating dynamic reference voltage sequence of the each battery in the voltage matrix within sliding window length, extracting eigenvalues of the each battery at different times; calculating correlation coefficients between voltages of the each battery at different times and reference voltage within the sliding window; forming feature point matrix of the battery module based on the eigenvalues and the correlation coefficients; calculating dynamic reference feature point sequence based on the feature point matrix, and calculating improved Frechet distances between feature point sequences of the each battery and the dynamic reference feature point sequence, using Frechet distance values as anomaly scores of the each battery; thus, judging whether a short-circuit fault occurs in the each battery.


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