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Battery159

[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.
[Nature-2013] Memory effect in a lithium-ion battery 논문 전문 : https://www.nature.com/articles/nmat3623 [출처] Sasaki, T., Ukyo, Y. & Novák, P. Memory effect in a lithium-ion battery. Nature Mater 12, 569–575 (2013). https://doi.org/10.1038/nmat3623 ※ The picture and content of this article are from the original paper. [논문 요약] Memory effect in a lithium-ion battery 10년전 Nature에 개제된 논문입니다. 도요타 중앙 연구소에서 나온 논문인데요, 10년전부터 이런 연구를 하고 있던걸 보면 확실히 기초기술부분에서는 일본.. 2023. 10. 29.
[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 Energy-2018] A single particle model with chemical/mechanical degradation physics for lithium ion battery State of Health(SOH) estimation 논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S0306261918300114 [출처] J. Li, K. Adewuyi, N. Lotfi, R.G. Landers, J. Park,A single particle model with chemical/mechanical degradation physics for lithium ion battery State of Health (SOH) stimation,Applied Energy,Volume 212,2018,Pages 1178-1190,ISSN 0306-2619,https://doi.org/10.1016/j.apenergy.2018.01.011. ※ The picture and content o.. 2023. 9. 16.

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