The Higher Educational Key Laboratory for Flexible Manufacturing Equipment Integration of Fujian Province (Xiamen Institute of Technology)Xiamen, China
School of Mechanical Electrical and Information Engineering, Xiamen Institute of TechnologyXiamen, China
The Higher Educational Key Laboratory for Flexible Manufacturing Equipment Integration of Fujian Province (Xiamen Institute of Technology)Xiamen, China
School of Mechanical Electrical and Information Engineering, Xiamen Institute of TechnologyXiamen, China
This work is licensed under the Creative Commons Attribution 4.0 International License.
Botín-Sanabria, D. M., Mihaita, A. S., Peimbert-García, R. E., Ramírez-Moreno, M. A., Ramírez-Mendoza, R. A., & Lozoya-Santos, J. D. J. (2022). Digital twin technology challenges and applications: A comprehensive review. Remote Sensing, 14(6), 1335.Search in Google Scholar
Liu, M., Fang, S., Dong, H., & Xu, C. (2021). Review of digital twin about concepts, technologies, and industrial applications. Journal of manufacturing systems, 58, 346-361.Search in Google Scholar
Bhatti, G., Mohan, H., & Singh, R. R. (2021). Towards the future of smart electric vehicles: Digital twin technology. Renewable and Sustainable Energy Reviews, 141, 110801.Search in Google Scholar
Wang, Z. (2020). Digital twin technology. In Industry 4.0-impact on intelligent logistics and manufacturing. IntechOpen.Search in Google Scholar
Madni, A. M., Madni, C. C., & Lucero, S. D. (2019). Leveraging digital twin technology in model-based systems engineering. Systems, 7(1), 7.Search in Google Scholar
Chaudhary, G., Khari, M., & Elhoseny, M. (Eds.). (2021). Digital twin technology. CRC Press.Search in Google Scholar
Qi, Q., Tao, F., Hu, T., Anwer, N., Liu, A., Wei, Y., ... & Nee, A. Y. (2021). Enabling technologies and tools for digital twin. Journal of Manufacturing Systems, 58, 3-21.Search in Google Scholar
Zheng, Y., Yang, S., & Cheng, H. (2019). An application framework of digital twin and its case study. Journal of ambient intelligence and humanized computing, 10, 1141-1153.Search in Google Scholar
Mashaly, M. (2021). Connecting the twins: A review on digital twin technology & its networking requirements. Procedia Computer Science, 184, 299-305.Search in Google Scholar
Wu, J., Yang, Y., Cheng, X. U. N., Zuo, H., & Cheng, Z. (2020, November). The development of digital twin technology review. In 2020 Chinese Automation Congress (CAC) (pp. 4901-4906). IEEE.Search in Google Scholar
Yu, W., Patros, P., Young, B., Klinac, E., & Walmsley, T. G. (2022). Energy digital twin technology for industrial energy management: Classification, challenges and future. Renewable and Sustainable Energy Reviews, 161, 112407.Search in Google Scholar
Hosamo, H. H., Imran, A., Cardenas-Cartagena, J., Svennevig, P. R., Svidt, K., & Nielsen, H. K. (2022). A Review of the Digital Twin Technology in the AEC‐FM Industry. Advances in civil engineering, 2022(1), 2185170.Search in Google Scholar
Liu, Y., Tai, Z., Zhang, Q., Wang, H., Pang, W. K., Liu, H. K., ... & Guo, Z. (2017). A new energy storage system: Rechargeable potassium-selenium battery. Nano Energy, 35, 36-43.Search in Google Scholar
Liu, Z., Liu, X., Hao, H., Zhao, F., Amer, A. A., & Babiker, H. (2020). Research on the critical issues for power battery reusing of new energy vehicles in China. Energies, 13(8), 1932.Search in Google Scholar
Kang, Y. M., Cao, A., Clément, R., Chou, S. L., Lee, S. Y., & Miao, Z. (2022). Battery technology and sustainable energy storage and conversion as a new energy resource replacing fossil fuels. Battery Energy, 1(1).Search in Google Scholar
Huang, W. C., Zhang, Q., & You, F. (2023). Impacts of battery energy storage technologies and renewable integration on the energy transition in the New York State. Advances in Applied Energy, 9, 100126.Search in Google Scholar
Chen, K., Zhao, F., Hao, H., & Liu, Z. (2019). Selection of lithium-ion battery technologies for electric vehicles under China’s new energy vehicle credit regulation. Energy Procedia, 158, 3038-3044.Search in Google Scholar
Qi, S., Cheng, Y., Li, Z., Wang, J., Li, H., & Zhang, C. (2024). Advanced Deep Learning Techniques for Battery Thermal Management in New Energy Vehicles. Energies, 17(16), 4132.Search in Google Scholar
Aziz, A. S., Tajuddin, M. F. N., Hussain, M. K., Adzman, M. R., Ghazali, N. H., Ramli, M. A., & Zidane, T. E. K. (2022). A new optimization strategy for wind/diesel/battery hybrid energy system. Energy, 239, 122458.Search in Google Scholar
Zhang, C., Wei, Y. L., Cao, P. F., & Lin, M. C. (2018). Energy storage system: Current studies on batteries and power condition system. Renewable and Sustainable Energy Reviews, 82, 3091-3106.Search in Google Scholar
Badole Madhuri Husan & Thakare Anuradha D.. (2023). An optimized framework for VANET routing: A multi-objective hybrid model for data synchronization with digital twin. International Journal of Intelligent Networks272-282.Search in Google Scholar