본문 바로가기

배터리 연구11

[Energy Storage-2023] Investigation of high-frequency pulse charging profiles with different frequencies, duty cycles and end-of-charge voltages 논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S2352152X23028980[출처] Anke Parschau, David Degler, Frank Allmendinger, Kai Peter Birke, Alexander Fill,Investigation of high-frequency pulse charging profiles with different frequencies, duty cycles and end-of-charge voltages,Journal of Energy Storage,Volume 74, Part B,2023,109500,ISSN 2352-152X,https://doi.org/10.1016/j.est.2023.1095.. 2024. 9. 23.
[IEEE-2017] SOH Estimation for LIB based on the Multi-Island Genetic Algorithm and the Gaussian Process Regression 논문 전문 : https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8057747 [출처] Li, Xiaoyu and Zhenpo Wang. “State of health estimation for lithium-ion battery by combining incremental capacity analysis with Gaussian process regression.” arXiv: Signal Processing (2019): n. pag. ※ The picture and content of this article are from the original paper. [논문요약] SOH Estimation for LIB based on the Multi-Islan.. 2022. 1. 21.
[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-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.

티스토리툴바