Invited Open Track on
WeC01: Advances in control, communication, and optimization for
smart charging and vehicle-to-everything (V2X)
Time: 12th July, 2023 (Wednesday), 16:00-18:00 (Japan Standard Time)
Venue: Main Hall, Conference Center, PACIFICO YOKOHAMA, Japan
Dr. Yang Li, Chalmers University of Technology, Sweden (Session Chair)
Dr. Chih Feng Lee, Polestar, Sweden (Session Co-Chair)
Dr. Francesco Liberati, Sapienza University of Rome, Italy
Dr. Volkan Kumtepeli, University of Oxford, UK
Prof. Daniel Quevedo, Queensland University of Technology, Australia
Vehicle-To-Grid Optimization Considering Battery Aging
Computationally Efficient Approach for Preheating of Battery Electric Vehicles before Fast Charging in Cold Climates
Optimization-Free Fast Charging for Lithium-Ion Batteries Using Model Inversion Techniques
Joint Mobility and Vehicle-To-Grid Coordination in Rebalancing Shared Mobility-On-Demand Systems
Conflict-Free Charging and Real-Time Control for an Electric Bus Network
Multi-Objective Optimization of Operation of Power-Traffic Systems Considering Dynamic Wireless Charging
Electric vehicles (EVs) are increasing significantly due to their advantageous characteristics, including higher energy efficiency, lower environmental impacts, and better economic performance. Smartly managing and controlling the charging patterns of EVs is considered a crucial step for the large adoption of EVs, while the limitation on battery degradation and efficiency and ambient conditions must be well addressed. In addition, the integration of EVs and electrical grids is vital in terms of charging management for reducing the grid impact and providing an opportunity for EVs to actively participate in supporting the grid through vehicle-to-home (V2H) and vehicle-to-grid (V2G) technologies. This track focuses on several aspects related to charging control strategies and vehicle-to-everything (V2X) functions and covers a broad range of technology, regulation, standards, demonstration, and social influences.
Smart charging algorithms for minimization of battery degradation and self-healing
Charging strategy optimization and control techniques, e.g., model predictive model and learning-based control
Coordination and communication of large-scale charging infrastructure and network
Implementation and analysis or V2X interaction for grid regulation
Improved state estimation algorithms for enhanced charging management (state of charge, state of health, state of power, etc.)
High-efficient EV charger development
Renewable- and storage-integrated charging station design and control
Pricing mechanisms for optimal charging scheduling
Wireless power charging control
Charging and load-balancing hardware design
Cyber-physical systems for V2X
Business case analysis for V2X
Regulatory and political challenges to V2X
