Abstract:

Over the last few years, battery electric vehicles (BEVs) have become more common. BEVs can be regarded as a grid load and as a way to support the grid (energy buffering), provided this extensive battery usage does not affect the BEV’s performance.  Data from both the vehicle and the grid are required for effective Vehicle-to-Grid (V2G) implementation. As such, a cloud-based big data platform is proposed in this paper to exploit these data. Furthermore, the goal of this research is to create smart algorithms that optimise a variety of factors, such as BEV cost of ownership and battery degradation. Dashboards are developed to deliver important data to various V2G stakeholders.