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Battery177

[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.
[EVS-26] Towards onboard Li-ion battery state-of-health diagnosis by a virtual sensor 논문 전문 : https://www.researchgate.net/publication/288166468_Towards_Onboard_Li-ion_Battery_State-of-health_Diagnosis_by_a_Virtual_Sensor/fulltext/5afe2195458515e9a5763964/Towards-Onboard-Li-ion-Battery-State-of-health-Diagnosis-by-a-Virtual-Sensor.pdf [출처] World Electric Vehicle Journal Vol. 5 - ISSN 2032-6653 ※ The picture and content of this article are from the original paper. [논문 요약] Towards .. 2024. 4. 5.
[Power Sources-2020] Passive impedance spectroscopy for monitoring lithium-ion battery cells during vehicle operation 논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S037877531931290X [출처] Bernhard Liebhart, Lidiya Komsiyska, Christian Endisch,Passive impedance spectroscopy for monitoring lithium-ion battery cells during vehicle operation,Journal of Power Sources,Volume 449,2020,227297,ISSN 0378-7753, https://doi.org/10.1016/j.jpowsour.2019.227297. ※ The picture and content of this article are fro.. 2024. 4. 4.
[Nature-2023] Realistic fault detection of li-ion battery via dynamical deep learning 논문 전문 : https://www.nature.com/articles/s41467-023-41226-5 [출처] Zhang, J., Wang, Y., Jiang, B. et al. Realistic fault detection of li-ion battery via dynamical deep learning. Nat Commun 14, 5940 (2023). https://doi.org/10.1038/s41467-023-41226-5 ※ The picture and content of this article are from the original paper. [논문 요약] Realistic fault detection of li-ion battery via dynamical deep learning M.. 2024. 3. 11.

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