EcoGem's key-objective is to integrate intelligence and learning functionalities to on-board systems for FEVs, enabling autonomous as well as interactive learning through V2X interfacing.

EcoGem vehicles will learn over time to predict (and thus avoid) congested and energy consuming routes, based on experience that they gather. This learning process will render each EcoGem FEV capable of autonomously classifying routes according to their degree of energy efficiency, enabling energy-driven route planning optimisation and extending considerably FEV effciency and range of operation.

EcoGem addresses the full prototyping process, from system analysis and design phase, to prototype technology implementation, simulation tests and assessment, real-life validation through on-street trials.