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목록BMS AI (3)
Engineering insight
[논문 전문] : https://www.nature.com/articles/s41560-024-01675-8[출처] Geslin, A., Xu, L., Ganapathi, D. et al. Dynamic cycling enhances battery lifetime. Nat Energy 10, 172–180 (2025). https://doi.org/10.1038/s41560-024-01675-8 ※ The picture and content of this article are from the original paper.All picture and figures used in this article are sourced from publicily available on the internet. [논문 요..
[논문 전문] : https://www.mdpi.com/2079-9292/12/3/657[출처] Wong, K.L.; Chou, K.S.; Tse, R.; Tang, S.-K.; Pau, G. A Novel Fusion Approach Consisting of GAN and State-of Charge Estimator for Synthetic Battery Operation Data Generation. Electronics 2023, 12, 657. https://doi.org/10.3390/electronics12030657 ※ The picture and content of this article are from the original paper.All picture and figures use..
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..
