Title:
CLUSTERING ANALYSIS-BASED BATTERY SYSTEM ONLINE FAULT DIAGNOSIS METHOD AND SYSTEM
Document Type and Number:
WIPO Patent Application WO/2022/151819
Kind Code:
A1
Abstract:
The present invention relates to a clustering analysis-based battery system online fault diagnosis method and system. According to the clustering analysis-based battery system online fault diagnosis method and system provided in the present invention, on the basis of the obtained operation data of an electric vehicle, battery cells in an electric vehicle battery system are subjected to cluster classification by using a K-means clustering algorithm, then an abnormal battery cell is determined quickly and accurately according to an Euclidean distance between the two battery cell clusters obtained by means of classification, and a battery cell serial number is output, so as to reduce the difficulty of battery cell fault monitoring in a real vehicle.
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Inventors:
WANG ZHENPO (CN)
SUN ZHENYU (CN)
LIU PENG (CN)
ZHANG ZHAOSHENG (CN)
PANG HAO (CN)
YIN HAO (CN)
SUN ZHENYU (CN)
LIU PENG (CN)
ZHANG ZHAOSHENG (CN)
PANG HAO (CN)
YIN HAO (CN)
Application Number:
PCT/CN2021/129524
Publication Date:
July 21, 2022
Filing Date:
November 09, 2021
Export Citation:
Assignee:
BEIJING INSTITUTE TECH (CN)
BEIJING BITNEI CORP LTD (CN)
BEIJING BITNEI CORP LTD (CN)
International Classes:
G01R31/367; G01R31/385
Foreign References:
| CN112858919A | 2021-05-28 | |||
| CN111929591A | 2020-11-13 | |||
| CN108254689A | 2018-07-06 | |||
| CN106371021A | 2017-02-01 |
Attorney, Agent or Firm:
BEIJING CHENGHUI LAW FIRM (CN)
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