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[MDPI-2023] State of Health Assessment for Lithium-Ion Batteries Using Incremental Energy Analysis and Bidirectional Long Short-Term Memory 논문 전문 : https://www.mdpi.com/2032-6653/14/7/188 [출처] Li, Y.; Luo, L.; Zhang, C.; Liu, H. State of Health Assessment for Lithium-Ion Batteries Using Incremental Energy Analysis and Bidirectional Long Short-Term Memory. World Electr. Veh. J. 2023, 14, 188. https://doi.org/10.3390/wevj14070188 ※ The picture and content of this article are from the original paper. This article is more of an intuitiv.. 2024. 3. 4.
[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.
[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.
[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.
[Measurement-2018] A novel fault diagnosis method for lithium-Ion battery packs of electric vehicle 논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S0263224117307443 [출처] Xiaoyu Li, Zhenpo Wang,A novel fault diagnosis method for lithium-Ion battery packs of electric vehicles,Measurement,Volume 116,2018,Pages 402-411,ISSN 0263-2241, https://doi.org/10.1016/j.measurement.2017.11.034. ※ The picture and content of this article are from the original paper. [논문 요약] A novel fault diagno.. 2023. 11. 18.