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[Nature-2023] Realistic fault detection of li-ion battery via dynamical deep learning 논문 전문 : https://www.nature.com/articles/s41467-023-41226-5 [출처] Zhang, J., Wang, Y., Jiang, B. et al. Realistic fault detection of li-ion battery via dynamical deep learning. Nat Commun 14, 5940 (2023). https://doi.org/10.1038/s41467-023-41226-5 ※ The picture and content of this article are from the original paper. [논문 요약] Realistic fault detection of li-ion battery via dynamical deep learning M.. 2024. 3. 11.
[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.
[MDPI-2023] Online State-of-Health Estimation for Fast-Charging Lithium-Ion Batteries Based on a Transformer–Long Short-Term Memory Neural Network 논문 전문 : https://www.mdpi.com/2313-0105/9/11/539 [출처] Fan, Y.; Li, Y.; Zhao, J.; Wang, L.; Yan, C.; Wu, X.; Zhang, P.; Wang, J.; Gao, G.; Wei, L. Online State-of-Health Estimation for Fast-Charging Lithium-Ion Batteries Based on a Transformer–Long Short-Term Memory Neural Network. Batteries 2023, 9, 539. https://doi.org/10.3390/batteries9110539 ※ The picture and content of this article are from t.. 2023. 11. 25.
[MDPI-2021] Attention-Based Long Short Term Memory Recurrent Neural Network for Capacity Degradation of Lithium-Ion Batteries 논문 전문 : https://www.mdpi.com/2313-0105/7/4/66 [출처] Mamo, T.; Wang, F.-K. Attention-Based Long Short-Term Memory Recurrent Neural Network for Capacity Degradation of Lithium-Ion Batteries. Batteries 2021, 7, 66. https://doi.org/10.3390/batteries7040066 ※ The picture and content of this article are from the original paper. [논문 요약] Attention-Based Long Short Term Memory Recurrent Neural Network for.. 2023. 3. 20.
[Energy-2022] State of health prognostics for series battery packs : A universal deep learning method 논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S0360544221021058 [출처] Yunhong Che, Zhongwei Deng, Penghua Li, Xiaolin Tang, Kavian Khosravinia, Xianke Lin, Xiaosong Hu, State of health prognostics for series battery packs: A universal deep learning method,Energy,Volume 238, Part B, 2022,121857,ISSN 0360-5442, https://doi.org/10.1016/j.energy.2021.121857 ※ The picture and content o.. 2021. 12. 30.

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