About this Research Topic
Recent developments in the Electric Vehicles (EV) technologies have made great strides to offer new modes of smart green urban mobility, where EVs are used as the main transportation mode replacing the conventional diesel and petrol powered vehicles. EVs are expected to play a key role in achieving ambitious targets of lowering greenhouse emission in the transportation sector.
Given the EV penetration rates and future forecasts, it is essential to develop technologies that tackle charging management of EVs considering a holistic view of charging supply/delivery management for EVs, communication of EVs to the smart grid infrastructure system using 5G and beyond systems, smart grids and big data analytics for EVs optimise smart mobility and enhance the quality of experience for EV users.
We will pursue innovation for advancing the technologies in EV charging ecosystem by orchestrating and managing the underlying networking and computational resources, design innovative algorithms using Artificial Intelligence (AI) and Machine Learning ML), developing communication protocols, prediction and optimising load in smart grids, developing software systems and user interfaces (UIs).
The EVOLVE Workshop is the first workshop on Enabling Technologies for the next-gen Electric Vehicles. This Research Topic welcomes contributions presented in the context of the EVOLVE 2024 workshop and encourages other contributions that match with the scope of the topic, as outlined below.
Topics of interest include, but are not limited to:
- Placement of EV charging stations through modelling and data driven approaches
- Decentralized intelligent algorithms using AI/ML for various radio access technologies
- Sustainable EV Connectivity in rural areas using non-terrestrial networks (NTN)
- Smart distribution grid planning, control, and management for wide scale electrification of road transportation
- Smart grid load and capacity management for EV charging
- EV user behaviour modelling
- EV charging reservation system
We encourage contributions from early career researchers from academia and industry.
Given the EV penetration rates and future forecasts, it is essential to develop technologies that tackle charging management of EVs considering a holistic view of charging supply/delivery management for EVs, communication of EVs to the smart grid infrastructure system using 5G and beyond systems, smart grids and big data analytics for EVs optimise smart mobility and enhance the quality of experience for EV users.
We will pursue innovation for advancing the technologies in EV charging ecosystem by orchestrating and managing the underlying networking and computational resources, design innovative algorithms using Artificial Intelligence (AI) and Machine Learning ML), developing communication protocols, prediction and optimising load in smart grids, developing software systems and user interfaces (UIs).
The EVOLVE Workshop is the first workshop on Enabling Technologies for the next-gen Electric Vehicles. This Research Topic welcomes contributions presented in the context of the EVOLVE 2024 workshop and encourages other contributions that match with the scope of the topic, as outlined below.
Topics of interest include, but are not limited to:
- Placement of EV charging stations through modelling and data driven approaches
- Decentralized intelligent algorithms using AI/ML for various radio access technologies
- Sustainable EV Connectivity in rural areas using non-terrestrial networks (NTN)
- Smart distribution grid planning, control, and management for wide scale electrification of road transportation
- Smart grid load and capacity management for EV charging
- EV user behaviour modelling
- EV charging reservation system
We encourage contributions from early career researchers from academia and industry.
Keywords: EVs, Smart grid, localisation, Charging stations, Artificial Intelligence, Security
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
