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[Energy Storage-2024] State of charge estimation for lithium-ion batteries based on data augmentation with generative adversarial networks [논문 전문] : https://www.sciencedirect.com/science/article/abs/pii/S2352152X23034035[출처] Chunsheng Hu, Fangjuan Cheng, Yong Zhao, Shanshan Guo, Liang Ma, State of charge estimation for lithium-ion batteries based on data augmentation with generative adversarial network, Journal of Energy Storage, Volume 80, 2024, 110004, ISSN 2352-152X, https://doi.org/10.1016/j.est.2023.110004. ※ The picture and c.. 2025. 7. 7.
[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.
[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.

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