Lifetime prediction of rechargeable lithium-ion battery using multi-physics and multiscale model-Reference-Cited by-同舟云学术

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Lifetime prediction of rechargeable lithium-ion battery using multi-physics and multiscale model

Published:2024-07 Issue: Volume:608 Page:234622
ISSN:0378-7753
Container-title:Journal of Power Sources
language:en
Short-container-title:Journal of Power Sources

Author:

Xi Ruyu,Mu Zeze,Ma Zhiyuan,Jin Weiren,Ma Hua,Liu Kuiming,Li Jinhan,Yu Meng,Jin Dongxu^ORCID,Cheng Fangyi^ORCID

Publisher

Elsevier BV

Reference60 articles.

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

2. Storage fading of a commercial 18650 cell comprised with NMC/LMO cathode and graphite anode;huang Wu;J. Power Sources,2017

3. Battery lifetime prognostics;Hu;Joule,2020

4. A 3D electrochemical-thermal coupled model for electrochemical and thermal analysis of pouch-type lithium-ion batteries;He;Int. J. Heat Mass Tran.,2021

5. Electrochemical-thermal P2D aging model of a LiCoO2/graphite cell: capacity fade simulations;Lamorgese;J. Energy Storage,2018

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1. Recent Progress of Deep Learning Methods for Health Monitoring of Lithium-Ion Batteries;Batteries;2024-06-13

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