Funded in the context of the European Green Cars PPP Initiative (www.green-cars-initiative.eu) EcoGem aims at providing efficient ICT-based solutions to sustainable mobility in the market segment of Fully Electric Vehicles (FEVs). Specifically, EcoGem goal is to design and develop a FEV-oriented, highly-innovative Advanced Driver Assistance System (ADAS) equipped with suitable monitoring, learning, reasoning and management capabilities, that will help increase the FEV's autonomy and energy efficiency.
EcoGem aim and approach is to render the FEV:
capable of reaching the desired destinations through the most energy efficient routes possible;
making the best use of FEV context information and services - such as battery characteristics, location and availability of surrounding recharging points/stations, booking of recharging slots, etc. - while on the move
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 congestion, enabling energy-driven route planning optimization.
A Specific Targeted Research Project (STREP) part-funded by the European Commission under the 7th Framework Program, Cooperation ICT, EcoGem started on 1st September 2010 and will run for 30 months.