본문 바로가기

Battery159

[MDPI-2023] Hybrid Modeling of Lithium-Ion Battery : Physics-Informed Neural Network for Battery State Estimation 논문 전문 : https://www.mdpi.com/2313-0105/9/6/301 [출처] Singh S, Ebongue YE, Rezaei S, Birke KP. Hybrid Modeling of Lithium-Ion Battery: Physics-Informed Neural Network for Battery State Estimation. Batteries. 2023; 9(6):301. https://doi.org/10.3390/batteries9060301 ※ The picture and content of this article are from the original paper. [논문 요약] Hybrid Modeling of Lithium-Ion Battery : Physics-Informe.. 2023. 9. 15.
[Journal of ES-2020] Rate dependency of incremental capacity analysis(dQ/dV) as a diagnostic tool for lithium-ion batteries 논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S2352152X19308175 [출처] Mina Ma, Yu Wang, Qiangling Duan, Tangqin Wu, Jinhua Sun, QingsongWang,Fault detection of the connection of lithiumion power batteries in series for electric vehicles based on statistical analysis,Energy,Volume 164,2018,Pages 745-756,ISSN 0360-5442,https://doi.org/10.1016/j.energy.2018.09.047. ※ The picture and .. 2023. 9. 9.
[Hindawi-2011] OCV Hysteresis in Li-ion Batteries including Two-Phase Transition Materials 논문 전문 : https://www.hindawi.com/journals/ijelc/2011/984320/ [출처] Michael A. Roscher, Oliver Bohlen, Jens Vetter, "OCV Hysteresis in Li-Ion Batteries including Two-Phase Transition Materials", International Journal of Electrochemistry, vol. 2011, Article ID 984320, 6 pages, 2011. https://doi.org/10.4061/2011/984320 ※ The picture and content of this article are from the original paper. [논문 요약] OCV.. 2023. 9. 8.
[Applied SC-2023] Anomaly detection of power battery pack using gated recurrent units based varational autoencoder 논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S1568494622009528 [출처] Changcheng Sun, Zhiwei He, Huipin Lin, Linhui Cai, Hui Cai, Mingyu Gao,Anomaly detection of power battery pack using gated recurrent units based variational autoencoder,Applied Soft Computing,Volume 132,2023,109903,ISSN 1568-4946,https://doi.org/10.1016/j.asoc.2022.109903. ※ The picture and content of this artic.. 2023. 9. 1.
[Power Sources-2021] Hybrid physics-informed neural networks for lithium-ion battery modeling and prognosis 논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S0378775321010259 [출처] Renato G. Nascimento, Matteo Corbetta, Chetan S. Kulkarni, Felipe A.C. Viana,Hybrid physics-informed neural networks for lithium-ion battery modeling and prognosis,Journal of Power SourcesVolume 513,2021,230526,ISSN 0378-7753,https://doi.org/10.1016/j.jpowsour.2021.230526. ※ The picture and content of this artic.. 2023. 9. 1.

티스토리툴바