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Summary & Details

Residual performance evaluation of Lithium-ion batteries for their secondary use Fast and reliable methodology based on electrochemical impedance spectroscopy

Delivery: Available on this site

Format: PDF

Price: Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880

Publication code: 20214331

Paper/Info type: Other International Conferences

No.E2.1

Pages: 1-4(Total 4 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) Takumi Mori, 2) Nozomu Teranishi
Affiliation(E)	1) HIOKI E.E. CORPORATION, 2) HIOKI E.E. CORPORATION
Abstract(E)	With the explosive widespread of lithium ion batteries (LIBs), the performance estimation of them with limited hardware and/or computational resources becomes more and more important. In this study, a statistical machine learning method based on the electrochemical impedance spectroscopy (EIS) data is applied to conveniently estimate the state of health (SOH) of LIBs. Establishment of a stable, safe and fully-automated measurement system to accumulate the characteristics data of LIBs at their various states is necessary for realization of a new SOH estimation method for the LIBs whose usage histories are not recorded or not available. The LIB test system developed and the SOH estimation ability of the algorithm are described.

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