Zhao, Kai, Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940, Zhou, Yue ORCID: https://orcid.org/0000-0002-6698-4714, Ming, Wenlong ORCID: https://orcid.org/0000-0003-1780-7292 and Wu, Jianzhong ORCID: https://orcid.org/0000-0001-7928-3602
2024.
Digital twin-supported battery state estimation based on TCN-LSTM neural networks and transfer learning.
CSEE Journal of Power and Energy Systems
Item availability restricted. |
Zhao, Kai, Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940, Ming, Wenlong ORCID: https://orcid.org/0000-0003-1780-7292, Zhou, Yue ORCID: https://orcid.org/0000-0002-6698-4714 and Wu, Jianzhong ORCID: https://orcid.org/0000-0001-7928-3602 2022. Digital twin-driven estimation of state of charge for Li-ion battery. Presented at: IEEE International Energy Conference (ENERGYCON 2022), Riga, Latvia, 09-12 May 2022. Proceedings of 2022 IEEE 7th International Energy Conference (ENERGYCON). IEEE, 10.1109/ENERGYCON53164.2022.9830324 |