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Battery Machine Learning5

[IEEE-2019] Data-Driven State of Health Estimation of Li-ion Batteries With RPT-Reduced Experimental Data 논문 전문 : https://ieeexplore.ieee.org/abstract/document/8786090 [출처] J. Kim et al., "Data-Driven State of Health Estimation of Li-Ion Batteries With RPT-Reduced Experimental Data," in IEEE Access, vol. 7, pp. 106987-106997, 2019, doi: 10.1109/ACCESS.2019.2932719.https://doi.org/10.1016/j.egyai.2020.100007. ※ The picture and content of this article are from the original paper. [논문요약] Data-Driven St.. 2021. 12. 16.
[IEEE-2020] Machine Learning Applied to EV Battery SOC and SOH Estimation : SOTA - I 논문 전문 : https://ieeexplore.ieee.org/document/9036949 [출처] C. Vidal, P. Malysz, P. Kollmeyer and A. Emadi, "Machine Learning Applied to Electrified Vehicle Battery State of Charge and State of Health Estimation: State-of-the-Art," in IEEE Access, vol. 8, pp. 52796-52814, 2020, doi: 10.1109/ACCESS.2020.2980961. ※ The picture and content of this article are from the original paper. [논문요약] Machine L.. 2021. 11. 25.
[ENERGY-2021] Deep neural network battery impedance spectra prediction by only using constant-current curve 논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S2405829721002592 [출처] Yanzhou Duan, Jinpeng Tian, Jiahuan Lu, Chenxu Wang, Weixiang Shen, Rui Xiong, Deep neural network battery impedance spectra prediction by only using constant-current curve,Energy Storage Materials,Volume 41,2021,Pages 24-31,ISSN 2405-8297, https://doi.org/10.1016/j.ensm.2021.05.047.https://doi.org/10.1186/s1003.. 2021. 10. 28.
[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.
[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.

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