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Battery177

[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.
[IOP - 2016] Calendar Aging of Lithium-Ion Batteries 논문 전문 : https://iopscience.iop.org/article/10.1149/2.0411609jes [출처] Peter Keil et al 2016 J. Electrochem. Soc. 163 A1872 ※ The picture and content of this article are from the original paper. [논문요약] Calendar Aging of Lithium-Ion Batteries 개인적으로 저에게 아주 많은 Insight를 주었던 논문입니다. 인용수도 많고, 논문의 구성 및 내용또한 아주 알찬관계로 한번 정리를 해보고자합니다. 분량이 꽤 많아, 2부작으로 나누어정리를 할까했는데.. 논문을 정리해서 올리는 속도가 읽는 속도를 못따라와서 빨리빨리 작성하고자 한번.. 2021. 12. 6.
[IOP-2018] A comparative study of ANN and Kalman Filtering-based observer for SOC estimation 논문 전문 : https://iopscience.iop.org/article/10.1088/1755-1315/161/1/012022/meta [출처] H Ben Sassi et al 2018 IOP Conf. Ser.: Earth Environ. Sci. 161 012022 ※ The picture and content of this article are from the original paper. [논문요약] A comparative study of ANN and Kalman Filtering-based observer for SOC estimation 이제까지 조금 헤비한 논문들을 많이 다루었어서, 머리도 식힐겸 간단한 분석비교논문 정리를 해보고자합니다. 여러종류의 Kalman Filter들 중, U.. 2021. 12. 2.
[IEEE-2020] Machine Learning Applied to EV Battery SOC and SOH Estimation : SOTA - II 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. 29.

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