Revealing particle venting of lithium-ion batteries during thermal runaway: A multi-scale model toward multiphase process
Gongquan Wang
1
,
Depeng Kong
1, 2
,
Ping Ping
3
,
Jennifer X. Wen
2
,
Xiaoqin He
1
,
Hengle Zhao
1
,
Xu He
1
,
Rongqi Peng
1
,
Yue Zhang
1
,
Xinyi Dai
1
Publication type: Journal Article
Publication date: 2023-04-01
scimago Q1
wos Q1
SJR: 3.030
CiteScore: 23.4
Impact factor: 17.0
ISSN: 25901168
Electrical and Electronic Engineering
Energy Engineering and Power Technology
Automotive Engineering
Transportation
Abstract
Safety issues raised by thermal runaway (TR) are the main obstacle hindering the booming of lithium-ion batteries. A comprehensive model can potentially help improve understanding of the TR mechanisms and assist the battery pack design. However, previous models generally neglected the particle ejection, which is integral to predicting TR. In this study, a multi-scale model for the multiphase process of battery venting has been proposed, covering the entire chain of chemical reactions and physical transformation during TR. A lumped model in battery scale unveiled the interplay of thermal abuse progression and pressure accumulation. The computational fluid dynamics coupled with the discrete phase model was adopted to simulate both generated gases and ejected particles. The newly developed model was checked quantitatively by experimental measurements for battery temperature, jet velocity and mass evolution under thermal abuse. Simulation results highlight two violent ejections of particles and gases with inverted conical contours, consistent with visualization by laser technique in the experiment. The electrolyte vapours are found to dominate the gas release before TR, while the generated reaction gases become the major release after the burst of chain reactions. The developed model fulfils the TR prediction including particle ejection, which can provide new references for the thermal safety design of battery packs.
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149
Total citations:
149
Citations from 2024:
113
(75.84%)
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GOST
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Wang G. et al. Revealing particle venting of lithium-ion batteries during thermal runaway: A multi-scale model toward multiphase process // eTransportation. 2023. Vol. 16. p. 100237.
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Wang G., Kong D., Ping P., Wen J. X., He X., Zhao H., He X., Peng R., Zhang Y., Dai X. Revealing particle venting of lithium-ion batteries during thermal runaway: A multi-scale model toward multiphase process // eTransportation. 2023. Vol. 16. p. 100237.
Cite this
RIS
Copy
TY - JOUR
DO - 10.1016/j.etran.2023.100237
UR - https://doi.org/10.1016/j.etran.2023.100237
TI - Revealing particle venting of lithium-ion batteries during thermal runaway: A multi-scale model toward multiphase process
T2 - eTransportation
AU - Wang, Gongquan
AU - Kong, Depeng
AU - Ping, Ping
AU - Wen, Jennifer X.
AU - He, Xiaoqin
AU - Zhao, Hengle
AU - He, Xu
AU - Peng, Rongqi
AU - Zhang, Yue
AU - Dai, Xinyi
PY - 2023
DA - 2023/04/01
PB - Elsevier
SP - 100237
VL - 16
SN - 2590-1168
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2023_Wang,
author = {Gongquan Wang and Depeng Kong and Ping Ping and Jennifer X. Wen and Xiaoqin He and Hengle Zhao and Xu He and Rongqi Peng and Yue Zhang and Xinyi Dai},
title = {Revealing particle venting of lithium-ion batteries during thermal runaway: A multi-scale model toward multiphase process},
journal = {eTransportation},
year = {2023},
volume = {16},
publisher = {Elsevier},
month = {apr},
url = {https://doi.org/10.1016/j.etran.2023.100237},
pages = {100237},
doi = {10.1016/j.etran.2023.100237}
}