[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-2019] A deep learning method for online capacity estimation of lithium-ion batteries
논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S2352152X19302233 [출처] Sheng Shen, Mohammadkazem Sadoughi, Xiangyi Chen, Mingyi Hong, Chao Hu,A deep learning method for online capacity estimation of lithium-ion batteries,Journal of Energy Storage,Volume 25,2019,100817,ISSN 2352-152X, https://doi.org/10.1016/j.est.2019.100817.https://doi.org/10.1186/s10033-018-0268-8 ※ The picture a..
2021. 10. 18.
[Energy Procedia-2019] Lithium-ion battery modeling based on Big Data
논문 전문 : https://www.sciencedirect.com/science/article/pii/S1876610218313419 [출처] Shuangqi Li, Jianwei Li, Hongwen He, Hanxiao Wang, Lithium-ion battery modeling based on Big Data, Energy Procedia,Volume 159, 2019, Pages 168-173, ISSN 1876-6102, https://doi.org/10.1016/j.egypro.2018.12.046. ※ The picture and content of this article are from the original paper. [논문요약] Lithium-ion battery modeling ..
2021. 9. 23.
