Title:
METHOD FOR PREDICTING LIFETIME CHARACTERISTICS OF LITHIUM SECONDARY BATTERY
Document Type and Number:
WIPO Patent Application WO/2022/239963
Kind Code:
A1
Abstract:
The present invention relates to a method for predicting the lifetime characteristics of a lithium secondary battery, and more particularly, to a method for predicting the lifetime characteristics of a lithium secondary battery, whereby patterns of change in capacity can be predicted in advance for each cycle with high reliability.
Inventors:
CHOI DONGIN (KR)
KIM HYEONG JIN (KR)
KIM WONHEE (KR)
KIM SEOK KOO (KR)
KIM HYEONG JIN (KR)
KIM WONHEE (KR)
KIM SEOK KOO (KR)
Application Number:
PCT/KR2022/004450
Publication Date:
November 17, 2022
Filing Date:
March 29, 2022
Export Citation:
Assignee:
LG ENERGY SOLUTION LTD (KR)
GWANGJU INST SCIENCE & TECH (KR)
GWANGJU INST SCIENCE & TECH (KR)
International Classes:
G01R31/367; G01R23/00; G01R27/26; G01R31/36; G01R31/382; G06N3/08; G06N20/00; H01M10/0525; H01M10/48
Domestic Patent References:
| WO2020178623A1 | 2020-09-10 |
Foreign References:
| JP2016225184A | 2016-12-28 | |||
| CN111766527A | 2020-10-13 | |||
| KR20170107738A | 2017-09-26 | |||
| KR20110124204A | 2011-11-16 |
Other References:
P.L.TABERNA ET AL., JOURNAL OF THE ELECTROCHEMICAL SOCIETY, vol. 150, no. 3, 2003, pages 292 - 300
"Nobuhiro Ogihara", J. PHYS. CHEM. LETT., vol. 10, 2019, pages 5013 - 5018
JONG HYUN JANG ET AL., JOURNAL OF THE KOREAN ELECTROCHEMICAL SOCIETY, vol. 13, no. 4, 2010, pages 223 - 234
LI YDONG BZERRIN T ET AL.: "State-of-health prediction for lithium-ion batteries via electrochemical impedance spectroscopy and artificial neural networks", ENERGY STORAGE, vol. 186, 2020
SOON-JONG KWON ET AL., JOURNAL OF ELECTROANALYTICAL CHEMISTRY, vol. 858, 2020, pages 113729
See also references of EP 4202459A4
"Nobuhiro Ogihara", J. PHYS. CHEM. LETT., vol. 10, 2019, pages 5013 - 5018
JONG HYUN JANG ET AL., JOURNAL OF THE KOREAN ELECTROCHEMICAL SOCIETY, vol. 13, no. 4, 2010, pages 223 - 234
LI YDONG BZERRIN T ET AL.: "State-of-health prediction for lithium-ion batteries via electrochemical impedance spectroscopy and artificial neural networks", ENERGY STORAGE, vol. 186, 2020
SOON-JONG KWON ET AL., JOURNAL OF ELECTROANALYTICAL CHEMISTRY, vol. 858, 2020, pages 113729
See also references of EP 4202459A4
Attorney, Agent or Firm:
YOU ME PATENT AND LAW FIRM (KR)
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