Zike

Electric Vehicles (EV) are set to replace traditional internal combustion engine (ICE) vehicles in the nearest future. Currently, charging EVs from home is a slow process taking up to 18 hours to charge a typical EV (40kWh battery) due to limitation of a supply capacity of a standard 3-pin socket. This project investigates a feasibility of battery-assisted charging concept, where a spare energy is accumulated in a battery during off-peak hours and released quickly to boost-charge an EV. The project also reviewed a number of relevant projects, startups and companies that are currently developing battery-assisted EV charging solutions, ranging from EV chargers for home, mobile EV chargers, stationary EV chargers to national grid level massive battery sites.

Publications:

• "Behaviour-neutral Smart Charging of Plugin Electric Vehicles: Reinforcement learning approach", V. Dyo, IEEE Access, vol. 10, pp. 64095-64104, 2022, doi: 10.1109/ACCESS.2022.3183795. [PDF]

• "Battery-assisted Electric Vehicle Charging: Data Driven Performance Analysis". J. Ali, V. Dyo, S. Zhang, IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe 2020). The Hague, Netherlands. October 2020. doi: 10.1109/ISGT-Europe47291.2020.9248941 [PDF]