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Battery177

[IEEE-2022] State-of-Health Estimation for Lithium-Ion Batteries Using Domain Adversarial Transfer Learning 논문 전문 : https://ieeexplore.ieee.org/document/9560040 [출처] Z. Ye and J. Yu, "State-of-Health Estimation for Lithium-Ion Batteries Using Domain Adversarial Transfer Learning," in IEEE Transactions on Power Electronics, vol. 37, no. 3, pp. 3528-3543, March 2022, doi: 10.1109/TPEL.2021.3117788. ※ The picture and content of this article are from the original paper. This article is more of an intuitiv.. 2023. 12. 29.
[Scientific Report-2020] An Incremental Voltage Difference Based Technique for Online State of Health Estimation of Li-ion Batteries 논문 전문 : https://www.nature.com/articles/s41598-020-66424-9 [출처] Naha, A., Han, S., Agarwal, S. et al. An Incremental Voltage Difference Based Technique for Online State of Health Estimation of Li-ion Batteries. Sci Rep 10, 9526 (2020). https://doi.org/10.1038/s41598-020-66424-9 ※ The picture and content of this article are from the original paper. This article is more of an intuitive understandi.. 2023. 12. 26.
[Power Sources-2013] Lithium ion battery pack power fade fault identification based on Shannon entropy in electric vehicles 논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S0378775312014231 [출처] Yuejiu Zheng, Xuebing Han, Languang Lu, Jianqiu Li, Minggao Ouyang, Lithium ion battery pack power fade fault identification based on Shannon entropy in electric vehicles,Journal of Power Sources,Volume 223,2013,Pages 136-146,ISSN 0378-7753,https://doi.org/10.1016/j.jpowsour.2012.09.015. ※ The picture and conten.. 2023. 12. 22.
[IEEE-2021] Multisource Domain Adaption for Health Degradation Monitoring of Lithium-Ion Batteries 논문 전문 : https://ieeexplore.ieee.org/document/9445018 [출처] Z. Ye, J. Yu and L. Mao, "Multisource Domain Adaption for Health Degradation Monitoring of Lithium-Ion Batteries," in IEEE Transactions on Transportation Electrification, vol. 7, no. 4, pp. 2279-2292, Dec. 2021, doi: 10.1109/TTE.2021.3085430. ※ The picture and content of this article are from the original paper. This article is more of an.. 2023. 12. 16.
[IJETAE-2022] State of Charge Prediction of Lead Acid Battery using Transformer Neural Network for Solar Smart Dome 4.0 논문 전문 : https://engrxiv.org/preprint/view/2606 [출처] https://doi.org/10.31224/2606 ※ The picture and content of this article are from the original paper. [논문 요약] State of Charge Prediction of Lead Acid Battery using Transformer Neural Network for Solar Smart Dome 4.0 Transformer를 사용해서 SOC를 추정하는 논문입니다. 지극히 개인적으로 생각하기에, 학술적인 가치가 있다고 보긴 힘듭니다. 그냥 Regression할때 Transformer를 쓴것말고는 아무 기술적 차이가 없기때문입니다. 그럼.. 2023. 11. 29.

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