Mr Kai Zhao

Articles

• Zhao, K., Liu, Y., Zhou, Y., Ming, W. and Wu, J. 2025. Digital twin-supported battery state estimation based on TCN-LSTM neural networks and transfer learning. CSEE Journal of Power and Energy Systems 11(2), pp. 567-579. (10.17775/CSEEJPES.2024.00900)
• Zhao, K., Liu, Y., Zhou, Y., Ming, W. and Wu, J. 2025. A Hierarchical and Self-Evolving Digital Twin (HSE-DT) method for multi-faceted battery situation awareness realisation. Machines 13(3), article number: 175. (10.3390/machines13030175)

Conferences

• Zhao, K., Liu, Y., Ming, W., Zhou, Y. and Wu, J. 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 2022Proceedings of 2022 IEEE 7th International Energy Conference (ENERGYCON). IEEE, (10.1109/ENERGYCON53164.2022.9830324)

Thesis

• Zhao, K. 2024. Digital twin battery storage in energy storage system. PhD Thesis, Cardiff University.