배터리 SOC 추정3 [Acta-2018] A comparative study of different equivalent circuit models for estimating state-of-charge of lithium-ion batteries 논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S0013468617322880 [출처] Xin Lai, Yuejiu Zheng, Tao Sun, A comparative study of different equivalent circuit models for estimating state-of-charge of lithium-ion batteries, Electrochimica Acta, Volume 259, 2018, Pages 566-577, ISSN 0013-4686, https://doi.org/10.1016/j.electacta.2017.10.153. ※ The picture and content of this article are .. 2024. 4. 19. [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. [IEEE-2020] Machine Learning Applied to EV Battery SOC and SOH Estimation : SOTA - I 논문 전문 : https://ieeexplore.ieee.org/document/9036949 [출처] C. Vidal, P. Malysz, P. Kollmeyer and A. Emadi, "Machine Learning Applied to Electrified Vehicle Battery State of Charge and State of Health Estimation: State-of-the-Art," in IEEE Access, vol. 8, pp. 52796-52814, 2020, doi: 10.1109/ACCESS.2020.2980961. ※ The picture and content of this article are from the original paper. [논문요약] Machine L.. 2021. 11. 25. 이전 1 다음
