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[NATURE-2019] Data-driven prediction of battery cycle life before capacity degradation 논문 전문 : https://www.nature.com/articles/s41560-019-0356-8 [출처] Severson, K.A., Attia, P.M., Jin, N. et al. Data-driven prediction of battery cycle life before capacity degradation. Nat Energy 4, 383–391 (2019). https://doi.org/10.1038/s41560-019-0356-8 ※ The picture and content of this article are from the original paper. [논문요약] Data-driven prediction of battery cycle life before capacity degrad.. 2021. 10. 7.
[ENERGY-2021] Machine learning-based model for lithium-ion batteries in BMS of electric/hybrid electric aircraft 논문 전문 : https://onlinelibrary.wiley.com/doi/abs/10.1002/er.6197 [출처] Seyed Reza Hashemi, Ajay Mohan Mahajan, Siamak Farhad, Online estimation of battery model parameters and state of health in electric and hybrid aircraft application, Energy, 10.1016/j.energy.2021.120699, 229, (120699), (2021).https://doi.org/10.1016/j.apenergy.2014.01.066. ※ The picture and content of this article are from the .. 2021. 10. 4.
[IEEE-2020] Machine learning approach for full impedance spectrum study of Li-ion battery 논문 전문 : https://ieeexplore.ieee.org/document/9254622 [출처] C. Chen, G. Yesilbas, A. Lenz, O. Schneider and A. C. Knoll, "Machine learning approach for full impedance spectrum study of Li-ion battery," IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society, 2020, pp. 3747-3752, doi: 10.1109/IECON43393.2020.9254622.https://doi.org/10.1016/j.apenergy.2014.01.066. ※ The pict.. 2021. 9. 29.
[Applied Energy-2014] A new neural network model for the state-of-charge estimation in the battery degradation process 논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S0306261914000956 [출처] LiuWang Kang, Xuan Zhao, Jian Ma, A new neural network model for the state-of-charge estimation in the battery degradation process,Applied Energy,Volume 121,2014,Pages 20-27,ISSN 0306-2619, https://doi.org/10.1016/j.apenergy.2014.01.066. ※ The picture and content of this article are from the original paper. [논문요.. 2021. 9. 27.
[Energy Procedia-2019] Lithium-ion battery modeling based on Big Data 논문 전문 : https://www.sciencedirect.com/science/article/pii/S1876610218313419 [출처] Shuangqi Li, Jianwei Li, Hongwen He, Hanxiao Wang, Lithium-ion battery modeling based on Big Data, Energy Procedia,Volume 159, 2019, Pages 168-173, ISSN 1876-6102, https://doi.org/10.1016/j.egypro.2018.12.046. ※ The picture and content of this article are from the original paper. [논문요약] Lithium-ion battery modeling .. 2021. 9. 23.
[SAE-2015] Employing Real Automotive Driving Data for Electrochemical Impedance Spectroscopy on Lithium-Ion Cells 논문 전문 : https://www.sae.org/publications/technical-papers/content/2015-01-1187/ [출처] Lohmann, N., Haussmann, P., Wesskamp, P., Melbert, J. et al., "Employing Real Automotive Driving Data for Electrochemical Impedance Spectroscopy on Lithium-Ion Cells," SAE Int. J. Alt. Power. 4(2):308-317, 2015, https://doi.org/10.4271/2015-01-1187. ※ The picture and content of this article are from the original.. 2021. 9. 20.
[IEEE-2014] Time-Domain Parameter Extraction Method for Thevenin-Equivalent Circuit Battery Models 논문 전문 : https://ieeexplore.ieee.org/document/6811175 [출처] A. Hentunen, T. Lehmuspelto and J. Suomela, "Time-Domain Parameter Extraction Method for Thévenin-Equivalent Circuit Battery Models," in IEEE Transactions on Energy Conversion, vol. 29, no. 3, pp. 558-566, Sept. 2014, doi: 10.1109/TEC.2014.2318205. ※ The picture and content of this article are from the original paper. [논문요약] Time-Domain P.. 2021. 9. 15.
[IEEE-2019] A Parameter Extraction Method for the Thevenin Equivalent Circuit Model of Li-ion Batteries 논문 전문 : https://ieeexplore.ieee.org/document/8912326 [출처] M. Hossain, S. Saha, M. E. Haque, M. T. Arif and A. Oo, "A Parameter Extraction Method for the Thevenin Equivalent Circuit Model of Li-ion Batteries," 2019 IEEE Industry Applications Society Annual Meeting, 2019, pp. 1-7, doi: 10.1109/IAS.2019.8912326.https://doi.org/10.1016/S0378-7753(03)00196-4. ※ The picture and content of this article.. 2021. 9. 14.
[Journal of Power Sources] Correlation of Arrhenius Behaviors in Power and Capacity Fades with Cell Impedance and Heat Generation in Cylindrical Lithium-Ion Cells 논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S0378775303001964 [출처] Bor Yann Liaw, E.Peter Roth, Rudolph G Jungst, Ganesan Nagasubramanian, Herbert L Case, Daniel H Doughty, Correlation of Arrhenius behaviors in power and capacity fades with cell impedance and heat generation in cylindrical lithium-ion cells, Journal of Power Sources, Volumes 119–121, 2003, Pages 874-886, ISSN 0.. 2021. 9. 12.

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