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