Increasingly severe fuel consumption and carbon pollution have been significantly pushing the academia and transportation sector to actively deploy transport and energy interfacing system. Numerous optimization issues have been formulated to efficiently reduce the economic cost and benefit the energy conversion efficiency from energy storage and transport application side. However, several key issues are of extreme non-convex, non-smooth or mixed integer characteristics, resulting in huge challenges for transport users and energy storage operators. Due to the superiorities such as being immune from complicated issue modelling formulation, computational intelligence therefore becomes a promising and powerful tool to handle the formidable optimization tasks in transport, energy management and transport-energy interfacing systems, further helping to reduce the fuel consumptions and carbon pollutions.
This special session aims at bringing together the state-of-the-art advances of computational intelligence strategies for solving recently emerging issues in complicated transport applications and related energy storage system. The submissions are encouraged to be focus on energy storage management, wireless charging, smart grid scheduling with integration of new participants such as renewable generations, plug-in electric vehicles, distribution generations and energy storages, multiple time-spacial energy reductions and other energy optimization topics.
The submissions are encouraged to focus on deriving advanced computational intelligence strategies to benefit the transport and energy applications. A brief list of potential submission topic includes the innovative application of evolutionary computation approaches in the following scenarios:
- Energy storage management system
- Wireless power transfer
- Unit commitment, economic dispatch and optimal power flow
- Optimal smart grid scheduling and integration with renewable energy generations
- Energy management, intelligent coordination and control of electric vehicles/ships
- Life cycle analysis and optimization of energy storage systems
- Charging and discharging strategies for energy storage or battery systems
- Internal and whole scale management for single and hybrid energy storage systems
- Energy reduction strategies for food and chemical process industry
- Energy reduction strategies for energy intensive manufacturing processes
- Parameters identification for photovoltaic models and PEM fuel cells
- Thermodynamic optimization for heat exchanger design and Organic Rankine Cycle
Organizers: Kailong Liu, Zhile Yang, Tianyu Hu, Pengfei Hu, Zhijia Huang, Zong Woo Geem