Project description
Improved charging for a greener future
As the demand for electric vehicles increases, so does the need for efficient, accessible, and affordable charging infrastructure. Users face challenges in finding suitable charging points. This gap can hinder widespread adoption of electric vehicles and impact grid stability. There is also a need for seamless integration between vehicles and charging infrastructure. The EU-funded NEVERFLAT project will develop a low-cost, bi-directional charging infrastructure. Leveraging cutting-edge technologies like machine learning, WBG semiconductors, and advanced simulation models, NEVERFLAT will optimise deployment, enhance grid stability, and improve renewable energy usage. The project will be validated through pilot sites in Germany, Romania, and Spain, demonstrating its potential for widespread, user-friendly adoption across Europe.
Objective
NEVERFLAT aims to develop and demonstrate in real-life settings an innovative, efficient, and user-friendly pervasive low-cost smart bi-directional charging infrastructure for electric vehicles (EVs), directly contributing to a specific strategic objective of the 2Zero Partnership - developing affordable, inclusive, user-friendly charging infrastructure concepts and technologies that include vehicle and grid interaction. It will bring crucial advancements in core hardware and software applied infrastructure innovation (using cutting edge technologies like ML predictive models and simulation, or WBG semiconductors), optimization in deployment and placement of the novel charging solutions, their strategic orchestration improving operative performance, grid stability and RES utilization, and social and business model innovations and incentivisation involving relevant SSH expertise in the consortium, together with major industry partners, innovative SMEs and research organizations. The complete integrated and deployed charging solution will be validated in extensive operational urban and peri-urban environments on pilot sites in Germany, Romania and Spain, showcasing the potential for widespread massive adoption, user acceptance and seamless coverage interoperable across European country borders, contributing to removing barriers to EV user acceptability.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencessoftware
- natural sciencesphysical scienceselectromagnetism and electronicssemiconductivity
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Programme(s)
Funding Scheme
HORIZON-IA - HORIZON Innovation ActionsCoordinator
8000 Aarhus C
Denmark