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Battery Management System54

[Energy Stroage-2016] Charging protocols for lithium-ion batteries and their impact on cycle life-An experimental study with different 18650 high-power cells [논문 전문] : https://www.sciencedirect.com/science/article/abs/pii/S2352152X16300147[출처] Peter Keil, Andreas Jossen, Charging protocols for lithium-ion batteries and their impact on cycle life An experimental study with different 18650 high-power cells, Journal of Energy Storage, Volume 6, 2016, Pages 125-141, ISSN 2352-152X, https://doi.org/10.1016/j.est.2016.02.005. ※ The picture and content of t.. 2025. 7. 21.
[Nature-2024] Dynamic cycling enhances battery lifetime [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.. 2025. 7. 17.
[Electronics-2023] A Novel Fusion Approach Consisting of GAN and State-of-Charge Estimator for synthetic Battery Operation Data Generation [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.. 2025. 7. 14.
[Energy Storage-2024] State of charge estimation for lithium-ion batteries based on data augmentation with generative adversarial networks [논문 전문] : https://www.sciencedirect.com/science/article/abs/pii/S2352152X23034035[출처] Chunsheng Hu, Fangjuan Cheng, Yong Zhao, Shanshan Guo, Liang Ma, State of charge estimation for lithium-ion batteries based on data augmentation with generative adversarial network, Journal of Energy Storage, Volume 80, 2024, 110004, ISSN 2352-152X, https://doi.org/10.1016/j.est.2023.110004. ※ The picture and c.. 2025. 7. 7.
[ICLR-2017] Mode Regularized Generative Adversarial Networks [논문 전문] : https://arxiv.org/abs/1612.02136[출처] https://doi.org/10.48550/arXiv.1612.02136 ※ 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 요약]Mode Regularized Generative Adversarial Networks MR-GAN은 GAN 초창기에 Mode Collapse 문제를 해결하고자 Mode Seeking GAN과 같이 노이즈와 생성결과물에 대한 명시적인 .. 2025. 7. 3.

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