Imagine your electric car as a giant battery on wheels that can give power back to your house or the city when needed. This project figures out how to coordinate millions of these cars so they don't crash the power grid when everyone plugs in at once. It uses a digital copy of the system to test the best ways to move energy between cars and the grid.
The rapid increase of EVs threatens to overload power grids. There is a lack of coordinated systems to use parked EVs as energy storage to balance the grid.
A digital twin of the charging chain and a data model for bi-directional charging using CCS2 connectors.
If you are a grid operator dealing with power instability as EV adoption grows — this project developed a digital twin and control mechanisms that use vehicles as energy storage to increase grid stability.
If you are a vehicle manufacturer dealing with battery wear and charging standards — this project developed a data model and tested the CCS2 connector for bi-directional charging to improve user experience.
If you are a charging station operator dealing with unpredictable demand — this project developed a system based on user behavior analysis to optimize the charging chain from energy provider to end user.
Based on available project data, the specific commercial pricing or implementation costs are not provided; however, the EU contributed EUR 8,387,620 to the research and development phase.
Yes, the project uses a digital twin to enable upscaling and has conducted real demonstrations in 4 different European countries (Belgium, Germany, Italy, Portugal).
Based on available project data, the IP details are not specified, but the project developed a data model based on emerging standards to accelerate adoption.
The project focuses on interoperability and has selected the Type 2/Combo 2 connector (CCS2) as the preferred solution for bi-directional charging.
The project runs from 2023-01-01 to 2026-12-31, indicating a multi-year development and testing cycle before full deployment.
The consortium is heavily industry-driven with a 76% industry ratio (22 companies), including 5 SMEs. This high concentration of commercial partners, including vehicle manufacturers, grid operators, and energy providers, suggests the results are designed for immediate commercial application rather than purely academic interest.
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Contact us to connect with the XL-Connect consortium for licensing the digital twin models.
