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Battery AI12

[IEEE-2022] An LSTM-PINN Hybrid Method to Estimate Lithium-Ion Battery Pack Temperature 논문 전문 : https://ieeexplore.ieee.org/document/9895422[출처]  G. Cho, D. Zhu, J. J. Campbell and M. Wang, "An LSTM-PINN Hybrid Method to Estimate Lithium-Ion Battery Pack Temperature," in IEEE Access, vol. 10, pp. 100594-100604, 2022, doi: 10.1109/ACCESS.2022.3208103.  ※ The picture and content of this article are from the original paper.    All picture and figures used in this article are sourced f.. 2024. 11. 28.
[Batteries-2022] An Electrical-Thermal Coupling Model with Artificial Intelligence for State of Charge and Residual Available Energy Co-Estimation of LiFePO4 Battery System under Various Temperatures 논문 전문 : https://www.mdpi.com/2313-0105/8/10/140 [출처] Mao, S.; Han, M.; Han, X.; Lu, L.; Feng, X.; Su, A.; Wang, D.; Chen, Z.; Lu, Y.; Ouyang, M. An Electrical–Thermal Coupling Model with Artificial Intelligence for State of Charge and Residual Available Energy Co-Estimation of LiFePO4 Battery System under Various Temperatures. Batteries 2022, 8, 140. https://doi.org/10.3390/batteries8100140 ※ Th.. 2024. 4. 13.
[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.
[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.

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