[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.
[Power Sources-2013] Lithium ion battery pack power fade fault identification based on Shannon entropy in electric vehicles
논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S0378775312014231 [출처] Yuejiu Zheng, Xuebing Han, Languang Lu, Jianqiu Li, Minggao Ouyang, Lithium ion battery pack power fade fault identification based on Shannon entropy in electric vehicles,Journal of Power Sources,Volume 223,2013,Pages 136-146,ISSN 0378-7753,https://doi.org/10.1016/j.jpowsour.2012.09.015. ※ The picture and conten..
2023. 12. 22.
[Applied Energy-2018] A single particle model with chemical/mechanical degradation physics for lithium ion battery State of Health(SOH) estimation
논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S0306261918300114 [출처] J. Li, K. Adewuyi, N. Lotfi, R.G. Landers, J. Park,A single particle model with chemical/mechanical degradation physics for lithium ion battery State of Health (SOH) stimation,Applied Energy,Volume 212,2018,Pages 1178-1190,ISSN 0306-2619,https://doi.org/10.1016/j.apenergy.2018.01.011. ※ The picture and content o..
2023. 9. 16.
