Design of Data Management Service Platform for Intelligent Electric Vehicle Charging Controller Multi-charger Model

Baptista, Pedro; Cardoso, Filipe; Rosado, Jose; Caldeira, Filipe

http://hdl.handle.net/10400.15/4696

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Abstract(s)

The electric charging solutions for the residential market imply, in many situations, an increase in the contracted power in order to allow to perform an efficient charging cycle that starts when the charger is connected and ends when the VE battery is fully charged. However, the increase in contracted power is not always the best solution for faster and more efficient charging. With a focus on the residential market, the presented architecture is suitable for single-use and shared connection points, which are becoming common in apartment buildings without a closed garage, allowing for sharing the available electrical connections to the grid. The multi-charger architecture allows using one or several common charging points by applying a mesh network of intelligent chargers orchestrated by a residential gateway. Managing the generated data load involves enabling data flow between several independent data producers and consumers. The data stream ingestion system must be scalable, resilient, and extendable.

Keywords

EVSE Electric Vehicles Intelligent Charging Load Management Mobility Mesh Data Management Fog Computing

URI

http://hdl.handle.net/10400.15/4696

Citation

Baptista, P., Rosado, J., Caldeira, F. & Cardoso, F. (2022). Design of data management service platform for intelligent electric vehicle charging controller multi‑charger model. Energy Inform 2022, 5 (3) 21-25. https://doi.org/10.1186/s42162-022-00219-2