A reduced-order thermal runaway network model for predicting thermal propagation of lithium-ion batteries in large-scale power systems
Publication type: Journal Article
Publication date: 2024-11-01
scimago Q1
wos Q1
SJR: 2.902
CiteScore: 20.1
Impact factor: 11.0
ISSN: 03062619, 18729118
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Metrics
20
Total citations:
20
Citations from 2024:
17
(89.47%)
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BibTex
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GOST
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He C. X. et al. A reduced-order thermal runaway network model for predicting thermal propagation of lithium-ion batteries in large-scale power systems // Applied Energy. 2024. Vol. 373. p. 123955.
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He C. X., He C., Liu Y. H., Liu Y., Huang X. Y., Huang X., Wan S. B., Wan S., Lin P., Lin P., Huang B. L., Huang B., Sun J., Sun J., Zhao T. S., Zhao T. A reduced-order thermal runaway network model for predicting thermal propagation of lithium-ion batteries in large-scale power systems // Applied Energy. 2024. Vol. 373. p. 123955.
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RIS
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TY - JOUR
DO - 10.1016/j.apenergy.2024.123955
UR - https://linkinghub.elsevier.com/retrieve/pii/S0306261924013382
TI - A reduced-order thermal runaway network model for predicting thermal propagation of lithium-ion batteries in large-scale power systems
T2 - Applied Energy
AU - He, C. X.
AU - He, Chuan
AU - Liu, Y. H.
AU - Liu, Yanhui
AU - Huang, X. Y.
AU - Huang, Xinyan
AU - Wan, S. B.
AU - Wan, Shuaibin
AU - Lin, P.-Z.
AU - Lin, Pengzhi
AU - Huang, B L
AU - Huang, Bangqin
AU - Sun, J
AU - Sun, Junfeng
AU - Zhao, T. S.
AU - Zhao, Tianshou
PY - 2024
DA - 2024/11/01
PB - Elsevier
SP - 123955
VL - 373
SN - 0306-2619
SN - 1872-9118
ER -
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BibTex (up to 50 authors)
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@article{2024_He,
author = {C. X. He and Chuan He and Y. H. Liu and Yanhui Liu and X. Y. Huang and Xinyan Huang and S. B. Wan and Shuaibin Wan and P.-Z. Lin and Pengzhi Lin and B L Huang and Bangqin Huang and J Sun and Junfeng Sun and T. S. Zhao and Tianshou Zhao},
title = {A reduced-order thermal runaway network model for predicting thermal propagation of lithium-ion batteries in large-scale power systems},
journal = {Applied Energy},
year = {2024},
volume = {373},
publisher = {Elsevier},
month = {nov},
url = {https://linkinghub.elsevier.com/retrieve/pii/S0306261924013382},
pages = {123955},
doi = {10.1016/j.apenergy.2024.123955}
}