본문 바로가기

state of health16

[Energy Strage-2023] A state of health estimation method based on incremental capacity analysis for Li-ion battery considering charging/discharging rate [논문 전문] : https://www.sciencedirect.com/science/article/abs/pii/S2352152X23024088[출처]  Guangfeng Wang, Naxin Cui, Changlong Li, Zhongrui Cui, Haitao Yuan, A state-of-health estimation method based on incremental capacity analysis for Li-ion battery considering charging/discharging rate, Journal of Energy Storage, Volume 73, Part B, 2023, 109010, ISSN 2352-152X, https://doi.org/10.1016/j.est.2023.. 2024. 12. 12.
[ACS Energy-2023] Lifetime prediction of Lithium Ion batteries by using the heterogeneity of graphite anodes 논문 전문 : https://pubs.acs.org/doi/10.1021/acsenergylett.3c00695[출처] ACS Energy Lett. 2023, 8, 7, 2946–2953 ※ The picture and content of this article are from the original paper.    All picture and figures used in this article are sourced from publicily available on the internet. [논문 요약]Lifetime prediction of Lithium Ion batteries by using the heterogeneity of graphite anodes 본 논문은 Open Access가 아니.. 2024. 8. 16.
[Power Sources-2024] Diagnosis of Li-ion battery degradation based on resistive and diffusion-related transient voltage changes at early stage of discharge 논문 전문 : https://www.sciencedirect.com/science/article/pii/S0378775324003926?dgcid=rss_sd_all[출처] Davide Cavaliere, Atsunori Ikezawa, Takeyoshi Okajima, Hajime Arai,Diagnosis of Liion battery degradation based on resistive and diffusion-related transient voltage changes at early stage of discharge,Journal of Power Sources,Volume 603,2024,234441,ISSN 0378-7753,https://doi.org/10.1016/j.jpowsour.20.. 2024. 5. 24.
[Scientific Report-2020] An Incremental Voltage Difference Based Technique for Online State of Health Estimation of Li-ion Batteries 논문 전문 : https://www.nature.com/articles/s41598-020-66424-9 [출처] Naha, A., Han, S., Agarwal, S. et al. An Incremental Voltage Difference Based Technique for Online State of Health Estimation of Li-ion Batteries. Sci Rep 10, 9526 (2020). https://doi.org/10.1038/s41598-020-66424-9 ※ The picture and content of this article are from the original paper. This article is more of an intuitive understandi.. 2023. 12. 26.
[MDPI-2023] Online State-of-Health Estimation for Fast-Charging Lithium-Ion Batteries Based on a Transformer–Long Short-Term Memory Neural Network 논문 전문 : https://www.mdpi.com/2313-0105/9/11/539 [출처] Fan, Y.; Li, Y.; Zhao, J.; Wang, L.; Yan, C.; Wu, X.; Zhang, P.; Wang, J.; Gao, G.; Wei, L. Online State-of-Health Estimation for Fast-Charging Lithium-Ion Batteries Based on a Transformer–Long Short-Term Memory Neural Network. Batteries 2023, 9, 539. https://doi.org/10.3390/batteries9110539 ※ The picture and content of this article are from t.. 2023. 11. 25.

티스토리툴바