Battery177 [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. [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. 이전 1 ··· 4 5 6 7 8 9 10 ··· 36 다음
