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Battery180

[Power Sources-2021] One-shot battery degradation trajectory prediction with deep learning 논문 전문 : https://www.sciencedirect.com/science/article/pii/S0378775321005528 [출처] Weihan Li, Neil Sengupta, Philipp Dechent, David Howey, Anuradha Annaswamy, Dirk Uwe Sauer,One-shot battery degradation trajectory prediction with deep learning,Journal of Power Sources,Volume 506,2021,230024,ISSN 0378-7753, https://doi.org/10.1016/j.jpowsour.2021.230024. ※ The picture and content of this article ar.. 2021. 12. 23.
[IEEE-2020] Machine Learning Approaches in Battery Management Systems : State of the Art 논문 전문 : https://ieeexplore.ieee.org/document/9210642 [출처] R. R. Ardeshiri, B. Balagopal, A. Alsabbagh, C. Ma and M. -Y. Chow, "Machine Learning Approaches in Battery Management Systems: State of the Art: Remaining useful life and fault detection," 2020 2nd IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES), 2020, pp. 61-66, doi: 10.1109/IESES45645.2020.. 2021. 12. 20.
[IEEE-2019] Data-Driven State of Health Estimation of Li-ion Batteries With RPT-Reduced Experimental Data 논문 전문 : https://ieeexplore.ieee.org/abstract/document/8786090 [출처] J. Kim et al., "Data-Driven State of Health Estimation of Li-Ion Batteries With RPT-Reduced Experimental Data," in IEEE Access, vol. 7, pp. 106987-106997, 2019, doi: 10.1109/ACCESS.2019.2932719.https://doi.org/10.1016/j.egyai.2020.100007. ※ The picture and content of this article are from the original paper. [논문요약] Data-Driven St.. 2021. 12. 16.
[IEEE-2020] Real-Time Parameter Estimation of an Electrochemical Lithium-Ion Battery Model Using a Long Short-Term Memory Network 논문 전문 : https://ieeexplore.ieee.org/document/9081953 [출처] H. Chun, J. Kim, J. Yu and S. Han, "Real-Time Parameter Estimation of an Electrochemical Lithium-Ion Battery Model Using a Long Short-Term Memory Network," in IEEE Access, vol. 8, pp. 81789-81799, 2020, doi: 10.1109/ACCESS.2020.2991124.https://doi.org/10.1016/j.egyai.2020.100007. ※ The picture and content of this article are from the orig.. 2021. 12. 13.
[Energy and AI-2020] Data-driven smart charging for heterogeneous electric vehicle fleets 논문 전문 : https://www.sciencedirect.com/science/article/pii/S2666546820300070 [출처] Oliver Frendo, Jérôme Graf, Nadine Gaertner, Heiner Stuckenschmidt,Datadriven smart charging for heterogeneous electric vehicle fleets,Energy and AI,Volume 1,2020,100007,ISSN 2666-5468, https://doi.org/10.1016/j.egyai.2020.100007. ※ The picture and content of this article are from the original paper. [논문요약] Data-dri.. 2021. 12. 9.

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