본문 바로가기

Battery SOH12

[Applied Energy-2018] Online state of health estimation for lithium-ion batteries using constant voltage charging current analysis 논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S0306261918300102 [출처] Jufeng Yang, Bing Xia, Wenxin Huang, Yuhong Fu, Chris Mi, Online state-of-health estimation for lithium-ion batteries using constant-voltage charging current analysis,Applied Energy,Volume 212,2018,Pages 1589-1600,ISSN 0306-2619,https://doi.org/10.1016/j.apenergy.2018.01.010. ※ The picture and content of this ar.. 2022. 12. 15.
[IEEE-2022] Linear Model for Online State of Health Estimation of Lithium-ion Batteries Using Segmented Discharge Profiles 논문 전문 : https://ieeexplore.ieee.org/document/9889746 [출처] E. Y. M. Ang and Y. C. Paw, "Linear Model for Online State of Health Estimation of Lithium-ion Batteries Using Segmented Discharge Profiles," in IEEE Transactions on Transportation Electrification, 2022, doi: 10.1109/TTE.2022.3206469.https://doi.org/10.3390/batteries2020017 ※ The picture and content of this article are from the original p.. 2022. 11. 24.
[Power Sources-2018] State-of-health estimation for Li-ion batteries by combing the incremental capacity analysis method with grey relational analysis 논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S0378775318311777 [출처] Xiaoyu Li, Zhenpo Wang, Lei Zhang, Changfu Zou, David. D. Dorrell,State-of-health estimation for Li-ion batteries by combing the incremental capacity analysis method with grey relational analysis,Journal of Power Sources,Volumes 410–411,2019,Pages 106-114,ISSN 0378-7753,https://doi.org/10.1016/j.jpowsour.2018.10.. 2022. 11. 7.
[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.

티스토리툴바