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Battery AI11

[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.
[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.
[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.
[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.
[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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