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[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.
[Acta-2018] A comparative study of different equivalent circuit models for estimating state-of-charge of lithium-ion batteries 논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S0013468617322880 [출처] Xin Lai, Yuejiu Zheng, Tao Sun, A comparative study of different equivalent circuit models for estimating state-of-charge of lithium-ion batteries, Electrochimica Acta, Volume 259, 2018, Pages 566-577, ISSN 0013-4686, https://doi.org/10.1016/j.electacta.2017.10.153. ※ The picture and content of this article are .. 2024. 4. 19.
[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.
[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.
[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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