Journal
WORLD ELECTRIC VEHICLE JOURNAL
Volume 11, Issue 2, Pages -Publisher
MDPI
DOI: 10.3390/wevj11020030
Keywords
BEV (Battery Electric Vehicle); optimisation; smart charging; smart grid; V2G (Vehicle-to-Grid); cloud; big data; machine learning
Funding
- Innovate UK [133494]
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Battery Electric Vehicles (BEVs) have increasingly become prevalent over the past years. 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. Additionally, this study aims to develop smart algorithms, which optimise different factors, including BEV cost of ownership and battery degradation. Dashboards are developed to provide key information to different V2G stakeholders.
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