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[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.
[Power Sources-2017] A correlation based fault detection method for short circuits in battery packs 논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S0378775316315300 [출처] Bing Xia, Yunlong Shang, Truong Nguyen, Chris Mi,A correlation based fault detection method for short circuits in battery packs,Journal of Power Sources,Volume 337,2017,Pages 1-10,ISSN 0378-7753, https://doi.org/10.1016/j.jpowsour.2016.11.007. ※ The picture and content of this article are from the original paper.. 2023. 11. 16.
[Batteries-2023] Data-Driven Thermal Anomaly Detection in Large Battery Packs 논문 전문 : https://www.mdpi.com/2313-0105/9/2/70 [출처] Bhaskar, K.; Kumar, A.; Bunce, J.; Pressman, J.; Burkell, N.; Rahn, C.D. Data-Driven Thermal Anomaly Detection in Large Battery Packs. Batteries 2023, 9, 70. https://doi.org/10.3390/batteries9020070 ※ The picture and content of this article are from the original paper. [논문 요약] Data-Driven Thermal Anomaly Detection in Large Battery Packs 저는 Anoma.. 2023. 10. 27.
[Applied SC-2023] Anomaly detection of power battery pack using gated recurrent units based varational autoencoder 논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S1568494622009528 [출처] Changcheng Sun, Zhiwei He, Huipin Lin, Linhui Cai, Hui Cai, Mingyu Gao,Anomaly detection of power battery pack using gated recurrent units based variational autoencoder,Applied Soft Computing,Volume 132,2023,109903,ISSN 1568-4946,https://doi.org/10.1016/j.asoc.2022.109903. ※ The picture and content of this artic.. 2023. 9. 1.
[Power Sources-2021] Hybrid physics-informed neural networks for lithium-ion battery modeling and prognosis 논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S0378775321010259 [출처] Renato G. Nascimento, Matteo Corbetta, Chetan S. Kulkarni, Felipe A.C. Viana,Hybrid physics-informed neural networks for lithium-ion battery modeling and prognosis,Journal of Power SourcesVolume 513,2021,230526,ISSN 0378-7753,https://doi.org/10.1016/j.jpowsour.2021.230526. ※ The picture and content of this artic.. 2023. 9. 1.

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