Unlocking the Potential of Electric Vehicles as Future Energy Storage Solutions

This PhD project will develop intelligent, data-driven methods that enable electric vehicles (EVs) to serve as mobile energy storage while remaining readily available for transportation. The research will investigate how EV travel, routing, charging and discharging decisions can be jointly optimised using real-time and predicted information about travel demand, traffic conditions, renewable energy availability, electricity prices, charging infrastructure and battery status. It will explore spatiotemporal data management, optimisation and machine learning techniques for individual EVs, cooperative groups and commercial fleets, supporting applications such as vehicle-to-grid energy trading, net-zero premises and low-emission transport operations. The proposed methods will aim to reduce costs and carbon emissions, improve grid stability and satisfy the uncertain travel needs of EV users.