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Battery AI13

[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.
[IEEE-2020] CNN and transfer learning based online SOH estimation for lithium-io 논문 전문 : https://ieeexplore.ieee.org/document/9164208 [출처] Y. Li and J. Tao, "CNN and transfer learning based online SOH estimation for lithium-ion battery," 2020 Chinese Control And Decision Conference (CCDC), 2020, pp. 5489-5494, doi: 10.1109/CCDC49329.2020.9164208.https://doi.org/10.1186/s10033-018-0268-8 ※ The picture and content of this article are from the original paper. [논문요약] CNN and tra.. 2021. 10. 25.