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[Power Sources-2005] Differential voltage analyses of high-power, lithium-ion cells 1. Technique and application 논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S0378775304008146 [출처] Ira Bloom, Andrew N. Jansen, Daniel P. Abraham, Jamie Knuth, Scott A. Jones, Vincent S. Battaglia, Gary L. Henriksen, Differential voltage analyses of high-power, lithium-ion cells: 1. Technique and application,Journal of Power Sources,Volume 139, Issues 1–2,2005,Pages 295-303,ISSN 0378-7753, https://doi.org/10... 2023. 4. 10.
[ECS-2018] Analysis on the Fault Features for Internal Short Circuit Detection Using an Electrochemical-Thermal Coupled Model 논문 전문 : https://iopscience.iop.org/article/10.1149/2.0501802jes [출처] Citation X. Feng et al 2018 J. Electrochem. Soc. 165 A155DOI 10.1149/2.0501802jes https://doi.org/10.1016/j.est.2022.104182. ※ The picture and content of this article are from the original paper. [논문요약] Analysis on the Fault Features for Internal Short Circuit Detection Using an Electrochemical-Thermal Coupled Model 최근 제가 생각하고 .. 2022. 12. 26.
[I-PHM 2013] Comparative Analysis of Features for Determinig State of Health in Lithium-Ion Batteries 논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S0378775316308916 [출처] Williard, Nick & He, Wei & Osterman, Michael & Pecht, Michael. (2013). Comparative Analysis of Features for Determinig State of Health in Lithium-Ion Batteries. International Journal of Prognostics and Health Management. 4. 10.36001/ijphm.2013.v4i1.1437. https://doi.org/10.1016/j.jpowsour.2016.07.036. ※ The pict.. 2022. 12. 8.
[Energy-2018] Fault detection of the connection of lithium-ion power batteries in series for electric vehicles based on statistical analysis 논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S0360544218318073 [출처] Mina Ma, Yu Wang, Qiangling Duan, Tangqin Wu, Jinhua Sun, Qingsong Wang, Fault detection of the connection of lithium-ion power batteries in series for electric vehicles based on statistical analysis, Energy, Volume 164, 2018, Pages 745-756, ISSN 0360-5442, https://doi.org/10.1016/j.energy.2018.09.047. ※ The pic.. 2022. 11. 1.

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