volume 334 pages 120660

Modeling venting behavior of lithium-ion batteries during thermal runaway propagation by coupling CFD and thermal resistance network

Publication typeJournal Article
Publication date2023-03-01
scimago Q1
wos Q1
SJR2.902
CiteScore20.1
Impact factor11.0
ISSN03062619, 18729118
Mechanical Engineering
General Energy
Building and Construction
Management, Monitoring, Policy and Law
Abstract
Thermal runaway (TR) seriously hinders the wide application of lithium-ion batteries. One of the most significant hazards of TR lies in the emission of flammable gases, which might cause explosion in the battery pack. A TR model incorporating venting provides insights into reducing explosion risk and aids to determine the safety-optimal configuration of battery pack. In this study, a modeling framework is proposed to address gas venting and explosion hazard by coupling CFD and thermal resistance network. The TR propagation is predicted by a lumped network integrating heat generation and jet dynamics while the transport of gases is simulated by the CFD models. The developed model was confirmed by cell temperatures and gas concentrations measured by experiments and then adopted to examine the influence of various configurations of battery pack. Results demonstrate increasing ventilation rate can decrease the gas concentration and shorten the duration of battery pack under explosion whereas a limited effect of void volume is evident for that. Despite of reducing TR propagation speeds, the increase of cell distance can inhibit the rapid dispersion of venting gases, causing battery pack exposed to a prolonged explosion risk. The present model represents the further optimization of battery pack from the aspect of safety.
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GOST |
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GOST Copy
Wang G. et al. Modeling venting behavior of lithium-ion batteries during thermal runaway propagation by coupling CFD and thermal resistance network // Applied Energy. 2023. Vol. 334. p. 120660.
GOST all authors (up to 50) Copy
Wang G., Kong D., Ping P., He X., Lv H., Zhao H., Hong W. Modeling venting behavior of lithium-ion batteries during thermal runaway propagation by coupling CFD and thermal resistance network // Applied Energy. 2023. Vol. 334. p. 120660.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1016/j.apenergy.2023.120660
UR - https://doi.org/10.1016/j.apenergy.2023.120660
TI - Modeling venting behavior of lithium-ion batteries during thermal runaway propagation by coupling CFD and thermal resistance network
T2 - Applied Energy
AU - Wang, Gongquan
AU - Kong, Depeng
AU - Ping, Ping
AU - He, Xiaoqin
AU - Lv, Hongpeng
AU - Zhao, Hengle
AU - Hong, Wanru
PY - 2023
DA - 2023/03/01
PB - Elsevier
SP - 120660
VL - 334
SN - 0306-2619
SN - 1872-9118
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2023_Wang,
author = {Gongquan Wang and Depeng Kong and Ping Ping and Xiaoqin He and Hongpeng Lv and Hengle Zhao and Wanru Hong},
title = {Modeling venting behavior of lithium-ion batteries during thermal runaway propagation by coupling CFD and thermal resistance network},
journal = {Applied Energy},
year = {2023},
volume = {334},
publisher = {Elsevier},
month = {mar},
url = {https://doi.org/10.1016/j.apenergy.2023.120660},
pages = {120660},
doi = {10.1016/j.apenergy.2023.120660}
}