The ELECTRIFIC project addresses the call “GV.8-2015. Electric vehicles’ enhanced performance and integration into the transport system and the grid”. Specifically, it targets the third domain of the call: Integration of the overall cycle of EV energy management into a comprehensive EV battery and ICT-based re-charging system management, providing ergonomic and seamless user support.
"Because of its shortcomings — driving range, cost and recharging time — the electric vehicle is not a viable replacement for most conventional cars," Takeshi Uchiyamada, Toyota 
Changing, this is the challenge. And the prize is: the electric vehicle (EV) theoretically can be run entirely by renewable energy resources if travel plans and charging schedules are coordinated among multiple users and aligned with power supply and grid requirements.
ELECTRIFIC will develop novel technologies and theoretical understanding that enable highly attractive and sustainable electro-mobility through smart vehicle-grid integration. The technologies will be developed at three layers – the grid, the EV and the user. Seamless and ergonomic collaboration between all layers will be created to make using EVs at least as convenient and attractive as combustion engine vehicles, all the while optimizing the grid, the EV infrastructure utilization and maximizing the use of renewable energy resources.
An intelligent charging infrastructure that integrates grid optimization, renewable energy and user guidance will be bundled into a Decision Making Engine (DME) with an advanced drivers assistant system (ADAS) as human machine interface (HMI). The DME provides multi-criteria routing alternatives customized to user based energy-aware EV routing and charging needs. Through the provision of APIs and a common data layer, the system is agnostic to car manufacturers and navigation systems so it can become a European standard solution for energy-aware EV mobility.
Before the driver enters, the DME has available all data about the grid stability and grid optimisation opportunities, the EV and battery management system (BMS) parameters like State of Charge (SOC), State of Health (SOH), the country and weather conditions, and the geography. When identifying the user and the organisational requirements respectively, the system has all data about user policies, schedules and user contacts which have been collected from previous uses, the Personal Information Manager and/or certain Enterprise Resource Planning Tools.
MS1 - Kick-off meeting
MS2 - Development and integration framework available, first version of architecture
MS3 - Passing technical components to integration
MS4 - Preliminary prototype: Integrated components ready for experimentation
MS5 - Preliminary prototype: Experiments results available
MS6 - First set of metrics for EV performance, grid integration and rewards
MS7 - Intermediate prototype: Passing technical components to integration
MS8 - Intermediate prototype: Integrated components ready for trials
MS9 - Intermediate prototype: Trials results available
MS10 - Market analysis, standardization actions and business models definition
MS11 - Final set of metrics for EV performance, grid integration and rewards
MS12 - Final prototype: Passing final technical components to integration
MS13 - Final prototype: Integrated final prototype ready for trials
MS14 - Final prototype: Final trials results available
MS15 - Final market analysis, exploitation and sustainability plan