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Battery SOH14

[Energy-2022] State of health prognostics for series battery packs : A universal deep learning method 논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S0360544221021058 [출처] Yunhong Che, Zhongwei Deng, Penghua Li, Xiaolin Tang, Kavian Khosravinia, Xianke Lin, Xiaosong Hu, State of health prognostics for series battery packs: A universal deep learning method,Energy,Volume 238, Part B, 2022,121857,ISSN 0360-5442, https://doi.org/10.1016/j.energy.2021.121857 ※ The picture and content o.. 2021. 12. 30.
[Power Sources-2021] One-shot battery degradation trajectory prediction with deep learning 논문 전문 : https://www.sciencedirect.com/science/article/pii/S0378775321005528 [출처] Weihan Li, Neil Sengupta, Philipp Dechent, David Howey, Anuradha Annaswamy, Dirk Uwe Sauer,One-shot battery degradation trajectory prediction with deep learning,Journal of Power Sources,Volume 506,2021,230024,ISSN 0378-7753, https://doi.org/10.1016/j.jpowsour.2021.230024. ※ The picture and content of this article ar.. 2021. 12. 23.
[IEEE-2019] Data-Driven State of Health Estimation of Li-ion Batteries With RPT-Reduced Experimental Data 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.. 2021. 12. 16.
[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.

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