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Development of Battery Characteristic State-evaluation Method Using High-speed Pulse Measurement

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Available on this site
Format
PDF
Price
Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880
Publication code
20214332
Paper/Info type
Other International Conferences

No.E2.2

Pages
1-5(Total 5 p)
Date of publication
May 2021
Publisher
JSAE
Language
English
Event
International Electric Vehicle Technology Conference EVTeC 2021 [Online Meeting]

Detailed Information

Category(E)Energy Storage Devices & Systems II -Systems and Applications-
Author(E)1) Noboru Oyama, 2) Shuichiro Yamaguchi, 3) Lin Furudate, 4) Yasuhiko Ohsawa, 5) Yasumasa Mochizuki
Affiliation(E)1) EnNet Co., Ltd., Lab. 307 at Tokyo metropolitan industrial technology research institute, 2) EnNet Co., Ltd., Lab. 307 at Tokyo metropolitan industrial technology research institute, 3) EnNet Co., Ltd., Lab. 307 at Tokyo metropolitan industrial technology research institute, 4) EnNet Co., Ltd., Lab. 307 at Tokyo metropolitan industrial technology research institute, 5) EnNet Co., Ltd., Lab. 307 at Tokyo metropolitan industrial technology research institute
Abstract(E)It is demonstrated that battery-states such as the health-level and measurement-temperature can be quickly evaluated by machine learning means. The capacity ratio of a full charge to an initial full charge, which was measured from charge-discharge curves, can be estimated with high accuracy at high speed by the method described here and therefore used as a reuse indicator and life diagnosis for batteries in use. The ability of the prototype diagnostic device is also introduced.

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