If you are a grid operator dealing with unstable power loads from renewable energy — this project developed bi-directional charging and ML predictive models that improve grid stability and RES utilization.
Low-Cost Bi-Directional EV Charging Infrastructure for Grid Stability and Energy Trading
Imagine your car battery acting like a giant power bank for your house or the city. Instead of just taking power, the car can give it back when the grid is struggling. This project makes that technology cheaper and easier to install everywhere, from city centers to suburbs.
What needed solving
EV charging is often expensive to deploy and only works in one direction, wasting potential energy storage. This prevents the massive adoption of EVs and puts stress on power grids during peak times.
What was built
A low-cost bi-directional charging system combining WBG semiconductors, ML predictive software, and energy tokenization models.
Who needs this
Who can put this to work
If you are a manufacturer dealing with high production costs for smart chargers — this project developed low-cost hardware using WBG semiconductors that enables massive deployment across borders.
If you are a platform provider dealing with a lack of monetization for EV owners — this project developed energy tokenization and new business models to incentivize users to share their battery power.
Quick answers
How does this project reduce the cost of EV charging?
Based on available project data, it focuses on low-cost mass deployment using cutting-edge hardware like WBG semiconductors and optimized placement strategies.
Is this technology ready for industrial scale?
The project aims for massive adoption and will be validated in real-life urban and peri-urban environments across 3 countries: Germany, Romania, and Spain.
What are the IP and licensing options?
Based on available project data, specific licensing terms are not listed, but the consortium includes 4 industry partners and 3 SMEs who may hold the resulting IP.
How does it integrate with existing power grids?
It uses bi-directional chargers and ML predictive models to optimize the interaction between the vehicle and the grid for better stability.
What is the timeline for deployment?
The project runs from 2025-01-01 to 2028-06-30, with validation occurring in pilot sites during this period.
Who built it
The consortium is well-balanced for commercialization, featuring 13 partners with a 31% industry ratio. The presence of 4 industry partners and 3 SMEs suggests a strong push toward market viability, while 6 research/university entities provide the technical foundation in semiconductors and software.
Contact Aarhus Universitet (DK) for partnership inquiries.
Talk to the team behind this work.
Contact us to connect with the NEVERFLAT consortium for pilot opportunities.