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Battery158

[IEEE-2023] Cross-Domain Prognostic Method of Lithium-Ion Battery in New Energy Electric Aircraft With Domain Adaption 논문 전문 : https://ieeexplore.ieee.org/document/10130743 [출처] Y. Zhu, X. Li, Y. Zhang and W. Zhang, "Cross-Domain Prognostic Method of Lithium-Ion Battery in New Energy Electric Aircraft With Domain Adaptation," in IEEE Sensors Journal, vol. 23, no. 13, pp. 14487-14498, 1 July1, 2023, doi: 10.1109/JSEN.2023.3277131. ※ The picture and content of this article are from the original paper. This article.. 2024. 2. 5.
[ECS-2023] Short-Time Fourier Transform Analysis of Current Charge/Discharge Response of Lithium-Sulfur Batteries 논문 전문 : https://iopscience.iop.org/article/10.1149/1945-7111/ad07ad [출처] Anis Allagui et al 2023 J. Electrochem. Soc. 170 110511 ※ The picture and content of this article are from the original paper. This article is more of an intuitive understanding than academic analysis. [논문 요약] Short-Time Fourier Transform Analysis of Current Charge/Discharge Response of Lithium-Sulfur Batteries 리튬 황배터리에 대해 .. 2024. 2. 1.
[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.
[MDPI-2020] A Review of Lithium--Ion Battery Fault Diagnostic Algorithms : Current Progress and Future Challenges 논문 전문 : https://www.mdpi.com/1999-4893/13/3/62 [출처] Tran, Manh-Kien, and Michael Fowler. 2020. "A Review of Lithium-Ion Battery Fault Diagnostic Algorithms: Current Progress and Future Challenges" Algorithms 13, no. 3: 62. https://doi.org/10.3390/a13030062 ※ The picture and content of this article are from the original paper. This article is more of an intuitive understanding than academic analy.. 2024. 1. 8.
[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.

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