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AI Battery7

[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-2022] State-of-Health Estimation for Lithium-Ion Batteries Using Domain Adversarial Transfer Learning 논문 전문 : https://ieeexplore.ieee.org/document/9560040 [출처] Z. Ye and J. Yu, "State-of-Health Estimation for Lithium-Ion Batteries Using Domain Adversarial Transfer Learning," in IEEE Transactions on Power Electronics, vol. 37, no. 3, pp. 3528-3543, March 2022, doi: 10.1109/TPEL.2021.3117788. ※ The picture and content of this article are from the original paper. This article is more of an intuitiv.. 2023. 12. 29.
[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.
[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.
[Batteries-2023] Data-Driven Thermal Anomaly Detection in Large Battery Packs 논문 전문 : https://www.mdpi.com/2313-0105/9/2/70 [출처] Bhaskar, K.; Kumar, A.; Bunce, J.; Pressman, J.; Burkell, N.; Rahn, C.D. Data-Driven Thermal Anomaly Detection in Large Battery Packs. Batteries 2023, 9, 70. https://doi.org/10.3390/batteries9020070 ※ The picture and content of this article are from the original paper. [논문 요약] Data-Driven Thermal Anomaly Detection in Large Battery Packs 저는 Anoma.. 2023. 10. 27.

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