[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-2015] Electrochemical impedance spectroscopy for lithium-ion cells: Test equipment and procedures for aging and fast characterization in time and frequency domain
논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S0378775314015432 [출처] Nils Lohmann, Patrick Weßkamp, Peter Haußmann, Joachim Melbert, Thomas Musch,Electrochemical impedance spectroscopy for lithiumion cells: Test equipment and procedures for aging and fast characterization in time andfrequency domain,Journal of Power Sources,Volume 273,2015,Pages 613-623,ISSN 0378-7753 ※ The pictu..
2024. 4. 8.
[Power Sources-2020] Modeling and analysis of high-frequency alternating-current heating for lithium-ion batteries under low-temperature operations
논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S0378775319314284 [출처] Yunlong Shang, Chong Zhu, Gaopeng Lu, Qi Zhang, Naxin Cui, Chenghui Zhang,Modeling and analysis of high-frequency alternating-current heating for lithium-ion batteries under low-temperatureoperations,Journal of Power Sources,Volume 450,2020,227435,ISSN 0378-7753, https://doi.org/10.1016/j.jpowsour.2019.227435. ※..
2024. 3. 7.
