[ENERGY-2021] Deep neural network battery impedance spectra prediction by only using constant-current curve
논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S2405829721002592 [출처] Yanzhou Duan, Jinpeng Tian, Jiahuan Lu, Chenxu Wang, Weixiang Shen, Rui Xiong, Deep neural network battery impedance spectra prediction by only using constant-current curve,Energy Storage Materials,Volume 41,2021,Pages 24-31,ISSN 2405-8297, https://doi.org/10.1016/j.ensm.2021.05.047.https://doi.org/10.1186/s1003..
2021. 10. 28.
[IEEE-2020] Micro-Short-Circuit Cell Fault Identification Method for Lithium-Ion Battery Packs Based on Mutual Information
논문 전문 : https://ieeexplore.ieee.org/document/9062470 [출처] Y. Zheng, Y. Lu, W. Gao, X. Han, X. Feng and M. Ouyang, "Micro-Short-Circuit Cell Fault Identification Method for Lithium-Ion Battery Packs Based on Mutual Information," in IEEE Transactions on Industrial Electronics, vol. 68, no. 5, pp. 4373-4381, May 2021, doi: 10.1109/TIE.2020.2984441.https://doi.org/10.1186/s10033-018-0268-8 ※ The pic..
2021. 10. 21.
[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.
