[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.
[Energy and AI-2020] Data-driven smart charging for heterogeneous electric vehicle fleets
논문 전문 : https://www.sciencedirect.com/science/article/pii/S2666546820300070 [출처] Oliver Frendo, Jérôme Graf, Nadine Gaertner, Heiner Stuckenschmidt,Datadriven smart charging for heterogeneous electric vehicle fleets,Energy and AI,Volume 1,2020,100007,ISSN 2666-5468, https://doi.org/10.1016/j.egyai.2020.100007. ※ The picture and content of this article are from the original paper. [논문요약] Data-dri..
2021. 12. 9.