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[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.
[IJHMT-2020] Numerical study on thermal characteristics comparison between charge and discharge process for lithium ion battery 논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S0017931020332555 [출처] Wenxin Mei, Huang Li, Chunpeng Zhao, Jinhua Sun, Qingsong Wang,Numerical study on thermal characteristics comparison between charge and discharge process for lithium ion battry,International Journal of Heat and Mass Transfer,Volume 162,2020,120319,ISSN 0017-9310,https://doi.org/10.1016/j.ijheatmasstransfer.2020... 2023. 8. 24.