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[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.
[IEEE-2021] Multisource Domain Adaption for Health Degradation Monitoring of Lithium-Ion Batteries 논문 전문 : https://ieeexplore.ieee.org/document/9445018 [출처] Z. Ye, J. Yu and L. Mao, "Multisource Domain Adaption for Health Degradation Monitoring of Lithium-Ion Batteries," in IEEE Transactions on Transportation Electrification, vol. 7, no. 4, pp. 2279-2292, Dec. 2021, doi: 10.1109/TTE.2021.3085430. ※ The picture and content of this article are from the original paper. This article is more of an.. 2023. 12. 16.
[IJETAE-2022] State of Charge Prediction of Lead Acid Battery using Transformer Neural Network for Solar Smart Dome 4.0 논문 전문 : https://engrxiv.org/preprint/view/2606 [출처] https://doi.org/10.31224/2606 ※ The picture and content of this article are from the original paper. [논문 요약] State of Charge Prediction of Lead Acid Battery using Transformer Neural Network for Solar Smart Dome 4.0 Transformer를 사용해서 SOC를 추정하는 논문입니다. 지극히 개인적으로 생각하기에, 학술적인 가치가 있다고 보긴 힘듭니다. 그냥 Regression할때 Transformer를 쓴것말고는 아무 기술적 차이가 없기때문입니다. 그럼.. 2023. 11. 29.
[Power Sources-2023] State of health estimation of lithium-ion battery with automatic feature extraction and self-attention learning mechanism 논문 전문 : https://iopscience.iop.org/article/10.1088/1742-6596/2301/1/012014 [출처] Yiyue Jiang, Yuan Chen, Fangfang Yang, Weiwen Peng, State of health estimation of lithium-ion battery with automatic feature extraction and self-attention learning mechanism, Journal of Power Sources,Volume 556,2023,232466,ISSN 0378-7753,https://doi.org/10.1016/j.jpowsour.2022.232466. ※ The picture and content of thi.. 2023. 3. 16.

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