VaS for Grid Optimisation

Overview

Uses V2G, smart grids, and AI to optimise energy use, schedule charging during off-peak hours, utilise dynamic pricing, and grid balancing for sustainable vehicle interactions.

 

Expected Outcomes

  • To demonstrate that Software-Defined Vehicle (VaS) capabilities can reduce electric energy consumption per vehicle kilometre by up to 15% for selected EVs.​
    • KPI: 15% reduction of energy consumption of VaS vehicles.

This use case is now available in the hourglass canvas, mapping the relevant stakeholders against the capabilities required for delivery and uptake. Explore it to identify who needs to be engaged, what is already in place, and where capability gaps remain

View this use case on the hourglass model
Country:
Romania
Domain:
Mobility
Part of: Pilot 2: Software Defined Vehicle for VaS in Urban Areas
Projects: O-CEI
TRL: 4-6: Validation and Prototype
Involved partners:
smart grid