Knee point prediction for lithium-ion batteries using differential voltage analysis and degree of inhomogeneity-Reference-Cited by-同舟云学术

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Knee point prediction for lithium-ion batteries using differential voltage analysis and degree of inhomogeneity

Published:2024-11 Issue: Volume:621 Page:235210
ISSN:0378-7753
Container-title:Journal of Power Sources
language:en
Short-container-title:Journal of Power Sources

Author:

Fuhrmann Marion^ORCID,Torcheux Laurent,Kobayashi Yo^ORCID

Publisher

Elsevier BV

Reference22 articles.

1. Why do batteries fail?;Palacín;Science,2016

2. Demonstrating apparently inconspicuous but sensitive impacts on the rollover failure of lithium- ion batteries at a high voltage;Klein;ACS Appl. Mater. Interfaces,2021

3. IEEE Recommended practice for sizing lead-Acid batteries for stationary applications,2011

4. Identification and machine learning prediction of knee-point and knee-onset in capacity degradation curves of lithium-ion cells;Fermín-Cueto;Energy And AI,2020

5. Physical characterization of the charging process of a Li-ion battery and prediction of Li plating by electrochemical modelling;Legrand;J. Power Sources,2014

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