A novel methodology for modeling and analyzing thermal runaway propagation in lithium-ion battery modules using probability functions
Publication type: Journal Article
Publication date: 2024-12-01
scimago Q1
wos Q1
SJR: 1.579
CiteScore: 11.0
Impact factor: 6.9
ISSN: 13594311, 18735606
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Metrics
4
Total citations:
4
Citations from 2024:
3
(75%)
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GOST
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Yu J. et al. A novel methodology for modeling and analyzing thermal runaway propagation in lithium-ion battery modules using probability functions // Applied Thermal Engineering. 2024. Vol. 257. p. 124503.
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Yu J., Guo C., Yu J., Yu J. A novel methodology for modeling and analyzing thermal runaway propagation in lithium-ion battery modules using probability functions // Applied Thermal Engineering. 2024. Vol. 257. p. 124503.
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TY - JOUR
DO - 10.1016/j.applthermaleng.2024.124503
UR - https://linkinghub.elsevier.com/retrieve/pii/S1359431124021719
TI - A novel methodology for modeling and analyzing thermal runaway propagation in lithium-ion battery modules using probability functions
T2 - Applied Thermal Engineering
AU - Yu, Jin
AU - Guo, Chuanyu
AU - Yu, Jia-Jia
AU - Yu, Jiajia
PY - 2024
DA - 2024/12/01
PB - Elsevier
SP - 124503
VL - 257
SN - 1359-4311
SN - 1873-5606
ER -
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BibTex (up to 50 authors)
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@article{2024_Yu,
author = {Jin Yu and Chuanyu Guo and Jia-Jia Yu and Jiajia Yu},
title = {A novel methodology for modeling and analyzing thermal runaway propagation in lithium-ion battery modules using probability functions},
journal = {Applied Thermal Engineering},
year = {2024},
volume = {257},
publisher = {Elsevier},
month = {dec},
url = {https://linkinghub.elsevier.com/retrieve/pii/S1359431124021719},
pages = {124503},
doi = {10.1016/j.applthermaleng.2024.124503}
}