Cloud-Based Big Data Platform for Vehicle-to-Grid (V2G)

Abstract

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.

Engineering data-driven solutions for future mobility: perspectives and challenges

“…Price Tariffs and operation and consumer costs control [29,30,32] GHG Emissions Renewable penetration [28] Energy losses Distribution network efficiency [28] Load flattening…”

“…State of Charge (SOC) [28,29,32] Desired SOC [29,30,32] Battery constraints [32] Battery degradation [32] Market Day-ahead prices Real time prices [29] Reserve capacity prices [28,29] Population Homogeneous [28] Heterogeneous Data Collection, storage, analysis [30,32] Privacy [30] User interface [32] First of all, while battery modelling studies suggest that V2G operations could involve higher battery degradation rates, it is not highly distinct from what is expected with uncontrolled charging mechanisms. As such, solutions such as peak shaving, frequency regulation and net load shaving do have a practical feasibility [33].…”

Experiencing Electric Vehicles: The Car as a Digital Platform

“…This generated emerging needs and ideas from our participants in being able to use their EV as part of the home energy system to become more independent in balancing their energy usage to avoid peak costs, power outs or trading energy. These anticipations foresight EVs to become part of an increasing number of emerging digital energy platforms [31,32]. Subsequently, the automotive industry needs to take into account that EV's are more than a means for transportation, they are also part of emerging digital energy platforms.…”

Integrating Battery Aging in the Optimization for Bidirectional Charging of Electric Vehicles

“…a minimum SOC. 11 We specify e 0 as the battery energy at the beginning of the charging event in (14d). The desired battery energy at departure e N is determined by the user in (14e); prospectively, a previous calculation of e N as in [36] can also be used.…”