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Integrazione intelligente Vehicle-to-Everything per la flessibilità del sistema elettrico e la gestione avanzata dell'energia

Project
The FLEXV2X project aims to develop, integrate and validate an advanced bidirectional charging infrastructure that transforms electric vehicles from simple network users into intelligent, interoperable and programmable energy resources. Through a systemic and highly integrated vision, the project aims to bridge the technological gaps that have emerged in recent national and international projects, proposing a digital and hardware ecosystem capable of enabling dynamic interaction between electric vehicles (EVs), renewable sources and smart grids. The technological objectives are divided into three main areas: Predictive EMS and HW/SW Interoperability: Advanced EMS (Energy Management System) systems will be developed with predictive algorithms based on Artificial Intelligence (AI) and adaptive control logic. These systems will be capable of orchestrating energy flows between EVs, renewable energy plants (photovoltaic and wind), stationary storage and the grid in real time, ensuring full compatibility with the latest interoperability standards, such as ISO 15118-20, OCPP 2.0.1 and IEEE 2030.5. Predictive Capacity and Energy Optimisation: Predictive models will be developed for vehicle availability (based on real booking and fleet rotation data), for production from renewable sources (wind and photovoltaic) and for local demand. These models will feed into EMS strategies to optimise charging/discharging times, reduce load peaks, minimise energy costs and enhance energy value through dynamic or simulated tariff logic. The AI suite will include modules for forecasting State of Charge (SoC), photovoltaic (PV) production, load and fleet usage behaviour. Multi-site validation and operational replicability: Three real-world demonstrators will enable testing under operational conditions. These include an experimental site in Vado Ligure connected to a 10 MW wind farm (for V2G, V2B and V2V testing), an operational car sharing fleet site in Bologna (TPER) with over 300 V2G-ready vehicles (for V1G optimisation and monetisation simulation) and a satellite site in Ferrara (TPER) to test the user experience and replicability of fleet management models. These activities will enable technological advancement from TRL 4 to TRL 7, with demonstration in real operating environments and full integration of software systems, EMS and bidirectional charging stations. The project stands out for its application dimension, which includes innovative monetisation logic (dynamic tariffs, incentives, value sharing), mobile apps with advanced HMI modules and a scalable modular structure suitable for urban hubs, industrial areas or corporate fleets. FLEXV2X aims to overcome the current limitations of poor interoperability, static forecasting and poorly integrated EMS logic by offering a scalable, replicable and regulatory-compliant technology platform geared towards the integration of EVs into energy markets, energy communities and new dynamic smart charging models.
  • Overview
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Overview

Contributor (11)

BARATER DAVIDE   Scientific Manager  
BASSOLI Elena   Participant  
BIANCHINI Claudio   Participant  
CATTINI Stefano   Participant  
CHINI Alessandro   Participant  
FRANCESCHINI GIOVANNI   Participant  
IMMOVILLI Fabio   Participant  
LEALI Francesco   Participant  
LORENZANI EMILIO   Participant  
NUZZO STEFANO   Participant  
ZANASI ROBERTO   Participant  

Leading department

"Enzo Ferrari" Department of Engineering   Principale  

Term type

BANDI MINISTERO TRANSIZIONE ECOLOGICA (EX MINISTERO AMBIENTE)

Financier

Ministero dell'Ambiente e della Sicurezza Energetica
Funding Organization

Partner

Università degli Studi di MODENA e REGGIO EMILIA

Total Contribution (assigned) University (EUR)

498,912.5€

Date/time interval

June 30, 2025 - December 29, 2026

Project duration

18 months

Skills

Concepts (2)


PE7_2 - Electrical engineering: power components and/or systems - (2024)

Settore IIND-08/A - Convertitori, macchine e azionamenti elettrici
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