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The Transactions of the Korean Institute of Electrical Engineers

The Transactions of the Korean Institute of Electrical Engineers

ISO Journal TitleTrans. Korean. Inst. Elect. Eng.
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  3. 2026-04 (Vol.75 No.4)
  4. 10.5370/KIEE.2026.75.4.804
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References

1 
Y. Chen, Y. Kang, Y. Zhao, 2021, A review of lithium-ion battery safety concerns: The issues, strategies, and testing standards, Journal of Energy Chemistry, Vol. 59, pp. 83-99DOI
2 
D. Kong, H. Lv, P. Ping, G. Wang, 2023, A review of early warning methods of thermal runaway of lithium-ion batteries, Journal of Energy Storage, Vol. 64, pp. 107073DOI
3 
R. Anderson, C. Merrill, J. Trask, M. Keyser, 2022, Thermal runaway of Li-ion cells: How internal dynamics, mass ejection, and heat vary with cell geometry and abuse type, NREL Tech. Rep. NREL/TP-5400-82410Google Search
4 
C. Merrill, J. Trask, R. Anderson, D. P. Finegan, 2024, The Battery Failure Databank: Insights from open-access database of thermal runaway behaviors of Li-ion cells and a resource for benchmarking risks, National Renewable Energy Laboratory (NREL), Golden, CO, USA, Tech. Rep. NREL/TP-5700-87431Google Search
5 
G. dos Reis, C. Strange, M. Yadav, S. Li, 2021, Lithium-ion battery data and where to find it, Energy and AI, Vol. 5, pp. 100081DOI
6 
Q. Xia, Y. Ren, Z. Wang, 2023, Safety risk assessment method for thermal abuse of lithium-ion battery pack based on multiphysics simulation and improved bisection method, Energy, Vol. 264, pp. 126228DOI
7 
W. Tong, W. Q. Koh, E. Birgersson, 2015, Correlating uncertainties of a lithium-ion battery – A Monte Carlo simulation, International Journal of Energy Research, Vol. 39, No. 9, pp. 1079-1093DOI
8 
M. Sharp, J. Darst, P. Hughes, 2022, Thermal Runaway of Li-Ion Cells: How Internal Dynamics, Mass Ejection, and Heat Vary with Cell Geometry and Abuse Type, J. Electrochem. Soc., Vol. 169, No. 2, pp. 020526DOI
9 
B. Saha, K. Goebel, 2007, Battery Data Set, NASA Ames Prognostics Data Repository, NASA Ames Research Center, Moffett Field, CAGoogle Search
10 
H. M. Barkholtz, A. Fresquez, B. R. Chalamala, S. R. Ferreira, 2017, A Database for Comparative Electrochemical Performance of Commercial 18650-Format Lithium-Ion Cells, J. Electrochem. Soc., Vol. 164, No. 12, pp. A2697-A2706DOI
11 
2010, Li-ion Battery Aging Datasets, NASA Open Data PortalGoogle Search
12 
J. Han, M. Kamber, 2006, Data Mining: Concepts and TechniquesGoogle Search
13 
Y. Fedoryshyna, S. Schaeffler, J. Soellner, 2024, Quantification of venting behavior of cylindrical lithium-ion and sodium-ion batteries during thermal runaway, J. Power Sources, Vol. 615, pp. 235064DOI
14 
E. P. Roth, D. H. Doughty, J. Franklin, 2004, Thermal abuse performance of high-power 18650 Li-ion cells, J. Power Sources, Vol. 134, pp. 222-234DOI
15 
X. Feng, M. Ouyang, X. Liu, L. Lu, Y. He, L. Wang, 2018, Thermal runaway mechanism of lithium ion battery for electric vehicles: A review, Energy Storage Mater., Vol. 10, pp. 246-267DOI
16 
X. Hu, L. Xu, X. Lin, M. Pecht, 2020, Advanced fault diagnosis for lithium-ion battery systems: A review, IEEE Ind. Electron. Mag., Vol. 14, No. 4, pp. 65-91DOI
17 
J. B. Quinn, T. Waldmann, K. Richter, M. Kasper, M. Wohlfahrt-Mehrens, 2018, Energy density of cylindrical versus pouch cells, J. Electrochem. Soc., Vol. 165, No. 14, pp. A3284-A3291DOI
18 
X. Feng, M. Ouyang, X. Liu, 2018, Thermal runaway mechanism of lithium-ion batteries and early warning strategy, Energy Storage Mater., Vol. 10, pp. 246-267DOI
19 
V. Kannan, A. C. Fisher, E. Birgersson, 2021, Monte Carlo assisted sensitivity analysis of a Li-ion battery with a phase change material, Journal of Energy Storage, Vol. 35, pp. 102269DOI