Motivation and Scope:
The advanced control of energy storage systems in transportation and smart grid is an urgent research direction, and the intelligent manufacturing of energy storage systems is an inevitable trend for future development. There are more and more hybrid applications of batteries, ultracapacitors and fuel cells in electric vehicles, electric ships, electric aircraft, rail transportation, etc. The hybridisation of energy devices with different characteristics undeniably improves the performance of the energy system. High energy ratio devices can be used as the main energy source to keep the system running, while high power ratio devices can handle sudden power demands. Artificial intelligence enables the construction of a highly standardised, intelligent, highly efficient, low-power, low-disruption and highly stable energy storage devices. This research topic deals with all aspects of advanced energy storage components and their integration. We welcome high quality Original Research and Review articles on the latest advances and potential research applications in the relevant areas, especially on monitoring, modelling, control and optimisation of advanced energy storage systems and smart manufacturing of energy storage devices.
Potential topics include but are not limited to the following:| 1, | Multiphysical modelling and verification of different energy storage sources |
| 2, | Energy management of solo or hybrid energy storage systems for electric vehicles, electric ships, electric aircraft, rail transportation, etc. |
| 3, | Design and control of future intelligent battery and fuel cell systems |
| 4, | Fault diagnosis and tolerance control of fuel cell, battery and ultracapacitor systems |
| 5, | Lifetime and reliability analysis, including recycling of hybrid energy storage systems |
| 6, | Thermal management and control for hybrid energy storage systems | 7, | Intelligent manufacturing of different energy storage devices | 8, | Artificial intelligence applied to manufacturing/management of energy storage systems |
Guest Editors:
| Prof. Kailong Liu, Shandong University, China |
| Prof. Xiao-Guang Yang, Beijing Institute of Technology, China |
| Prof. Yuejiu Zheng, University of Shanghai for Science and Technology, China |
| Dr. Yujie Wang, University of Science and Technology of China, China |
| Dr. Qiao Peng, Queen's University Belfast, UK |
| Dr. Jingyuan Zhao, University of California Davis, United States |
Paper submission:
Prospective authors are invited to submit full-length papers before the submission deadline through the online submission system at https://www.smartchair.org/LSMS2024-ICSEE2024/. Further, proposals for special sessions within the technical scopes of the conference are most welcome. Papers submitted for special sessions will be peer-reviewed with the same criteria as used with regular papers. A special session proposal should include the session title, a brief description, and the names, contact details and bio-sketch of the organizers.
See also the Author's kit for Paper Format.
Accepted papers are scheduled to be published in the Springer Communications in Computer and Information Science (CCIS) proceedings (EI Compendex). Some high-quality papers will be recommended for possible publication in SCI indexed international journals after expansion and further review, such as Journal of Modern Power Systems and Clean Energy, Transactions of the Institute of Measurement and Control, Expert System with Applications, Swarm and Evolutionary Computation, Cognitive Computation, Enterprise Information Systems, Advances in Manufacturing, IET Energy Systems Integration, etc.
