[Energy Chemistry-2024] Insight into the capacity degradation and structural evolution of single-crystal Ni-rich cathodes
논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S2095495624002432?dgcid=rss_sd_all[출처] Xiaodong Zhang, Jiao Lin, Ersha Fan, Qingrong Huang, Su Ma, Renjie Chen, Feng Wu, Li Li, Insight into the capacity degradation and structural evolution of single-crystal Ni-rich cathodes, Journal of Energy Chemistry, Volume 95, 2024, Pages 68-76, ISSN 2095-4956, https://doi.org/10.1016/j.jechem.2..
2024. 6. 10.
[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.
[Batteries-2022] An Electrical-Thermal Coupling Model with Artificial Intelligence for State of Charge and Residual Available Energy Co-Estimation of LiFePO4 Battery System under Various Temperatures
논문 전문 : https://www.mdpi.com/2313-0105/8/10/140 [출처] Mao, S.; Han, M.; Han, X.; Lu, L.; Feng, X.; Su, A.; Wang, D.; Chen, Z.; Lu, Y.; Ouyang, M. An Electrical–Thermal Coupling Model with Artificial Intelligence for State of Charge and Residual Available Energy Co-Estimation of LiFePO4 Battery System under Various Temperatures. Batteries 2022, 8, 140. https://doi.org/10.3390/batteries8100140 ※ Th..
2024. 4. 13.
