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Battery Transfer Learning4

[Scientific reports-2022] Transfer learning based generalized framework for state of health estimation of Li-ion cells 논문 전문 : https://www.nature.com/articles/s41598-022-16692-4 [출처] Sahoo, S., Hariharan, K.S., Agarwal, S. et al. Transfer learning based generalized framework for state of health estimation of Li-ion cells. Sci Rep 12, 13173 (2022). https://doi.org/10.1038/s41598-022-16692-4 ※ The picture and content of this article are from the original paper. This article is more of an intuitive understanding th.. 2024. 1. 15.
[Nature-2023] Deep learning to estimate lithium-ion battery state of health without additional degradation experiment 논문 전문 : https://www.nature.com/articles/s41467-023-38458-w [출처] Lu, J., Xiong, R., Tian, J. et al. Deep learning to estimate lithium-ion battery state of health without additional degradation experiments. Nat Commun 14, 2760 (2023). https://doi.org/10.1038/s41467-023-38458-w ※ The picture and content of this article are from the original paper. This article is more of an intuitive understanding .. 2024. 1. 5.
[Power Sources-2022] End-to-end capacity estimation of Lithium-ion batteries with an enhanced long short-term memory network considering domain adaptation 논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S0378775321013124 [출처] Te Han, Zhe Wang, Huixing Meng,End-to-end capacity estimation of Lithiumion batteries with an enhanced long short-term memory network considering domain adaptation,Journal of Power Sources,Volume 520,2022,230823,ISSN 0378-7753,https://doi.org/10.1016/j.jpowsour.2021.230823. ※ The picture and content of this arti.. 2024. 1. 2.
[IEEE-2022] State-of-Health Estimation for Lithium-Ion Batteries Using Domain Adversarial Transfer Learning 논문 전문 : https://ieeexplore.ieee.org/document/9560040 [출처] Z. Ye and J. Yu, "State-of-Health Estimation for Lithium-Ion Batteries Using Domain Adversarial Transfer Learning," in IEEE Transactions on Power Electronics, vol. 37, no. 3, pp. 3528-3543, March 2022, doi: 10.1109/TPEL.2021.3117788. ※ The picture and content of this article are from the original paper. This article is more of an intuitiv.. 2023. 12. 29.