VaS for Sustainability

Overview

It leverages AI utilities from the O-CEI marketplace to optimise EV powertrain efficiency, minimise carbon footprints, and ensure driver engagement with sustainable, real-time feedback and seamless integration.

 

Expected Outcomes

  • To demonstrate that the average energy and fuel demand of selected test vehicles in Romania’s Pilot 2, measured at 120% of the Worldwide Harmonized Light Vehicle Test Procedure (WLTP) benchmark, can be reduced by 15%.
    • KPI: 15% reduction of non-exhaust emissions.

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:
EV charging