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[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.
[Applied Energy-2016] State of health monitoring of lithium-ion battery modules and packs via incremental capacity peak tracking 논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S0306261916310741 [출처] Caihao Weng, Xuning Feng, Jing Sun, Huei Peng,State-of-health monitoring of lithiumion battery modules and packs via incremental capacity peak tracking,Applied Energy,Volume 180,2016,Pages 360-368,ISSN 0306-2619, https://doi.org/10.1016/j.apenergy.2016.07.126. ※ The picture and content of this article are from t.. 2023. 11. 24.
[Measurement-2018] A novel fault diagnosis method for lithium-Ion battery packs of electric vehicle 논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S0263224117307443 [출처] Xiaoyu Li, Zhenpo Wang,A novel fault diagnosis method for lithium-Ion battery packs of electric vehicles,Measurement,Volume 116,2018,Pages 402-411,ISSN 0263-2241, https://doi.org/10.1016/j.measurement.2017.11.034. ※ The picture and content of this article are from the original paper. [논문 요약] A novel fault diagno.. 2023. 11. 18.

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