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[Adv-2023] In Situ Li-Plating Diagnosis for Fast-Charging Li-Ion Batteries Enabled by Relaxation-Time Detection 논문 전문 : https://onlinelibrary.wiley.com/doi/abs/10.1002/adma.202301881[출처] https://doi.org/10.1002/adma.202301881  ※ The picture and content of this article are from the original paper.    All picture and figures used in this article are sourced from publicily available on the internet. [논문 요약]In Situ Li-Plating Diagnosis for Fast-Charging Li-Ion Batteries Enabled by Relaxation-Time Detection  L.. 2024. 7. 26.
[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.
[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.
[MDPI-2020] A Review of Lithium--Ion Battery Fault Diagnostic Algorithms : Current Progress and Future Challenges 논문 전문 : https://www.mdpi.com/1999-4893/13/3/62 [출처] Tran, Manh-Kien, and Michael Fowler. 2020. "A Review of Lithium-Ion Battery Fault Diagnostic Algorithms: Current Progress and Future Challenges" Algorithms 13, no. 3: 62. https://doi.org/10.3390/a13030062 ※ The picture and content of this article are from the original paper. This article is more of an intuitive understanding than academic analy.. 2024. 1. 8.
[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.

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