배터리 머신러닝4 [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. [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. 이전 1 다음
