Innovative fast inductive charging

solution for electric vehicles

Innovative fast inductive charging
solution for electric vehicles

Project Presentation


Topic of the work programme:

FP7- GC.SST.2012.1-2.: Smart infrastructures and innovative services for electric vehicles in the urban grid and road environment.

Description of the topic (extracted from the work programme):

With the advent of new electrified vehicles (EV) for application in the urban environment, a significant need exists to drastically improve the convenience and sustainability of car-based mobility. In particular, research should focus on the development of smart infrastructures, and innovative solutions which will permit full EV integration in the urban road systems while facilitating evolution in customer acceptance.
Within this context, activities will focus on:
• Investigation into alternative, innovative solutions for recharging stationary EV minimising risks deriving from vandalism (e.g. inductive charging).
• Study of on-route charging technologies which would increase the vehicle range while reducing the size of on-board energy storage systems.
• Development of innovative location based Demand Management systems by means of intelligent systems integrated in both EV and charging stations that can communicate and manage adaptively the charging process autonomously, if necessary, or taking into account the priorities of the user-grid.
• Development of data security standards and crypto measures to ensure privacy protection.
• Intelligent coordinated systems (micro-grids) that balance the simultaneous demand of a given geographically location (multiple, slow and fast charging EV combined with other electric consumers) with policies that prioritise emergencies, security of the net, minimal autonomy for all the elements, etc., and that can also coordinate with neighbouring microgrids and upper level electric grid control.
Projects may address these issues by technology development and demonstration from a technological perspective while focusing on business case analyses and impact studies demonstrating the feasibility and viability of the proposed solutions across a wide-range of operational situations.

Expected impact:
The proposed solutions should demonstrate the enhanced attractiveness of electric mobility, both in terms of convenience and reduced total cost of ownership, while showing how they ensure a correct relationship with the electric supply network and its requirements, as well as the economics of the needed investments.

Project officer:

Maurizio MAGGIORE (DG Research & Innovation)

Number of partners:

9 organisations


36 months from October 2012 to September 2015

Project summary:

The overall objective of FastInCharge is to foster the democratisation of electric vehicles in the urban environment by developing an easier and more comfortable charging solution which will enable to ease the EV use by the large public and facilitate their implementation in the urban grid.
FastInCharge’s intention is to develop a cost-effective modular infrastructure offering a global solution for EV charging. Its success will boost research in the direction of dynamic charging solutions.
The concept of FastInCharge is to create a highly performing inductive solution which will enable a 40 kW power transfer to the vehicles in two charging operational situations: one stationary and one on-route. The inductive technology developed will be integrated into: three different electric cars of different types (secondary charging block) and four charging stations, one stationary and three on-route (primary charging block). The full functional chain will be carefully scrutinised in order to ensure an optimal, safe and sustainable solution: battery charging, EV performance and safety, EV range, communication EV/Station, connection station to the grid, grid management and energy supply, intelligent coordinated systems.

The simulation of its integration in the city of Douai will allow knowing beforehand its impact on the power supply. These results would serve as guidelines during the actual implementation of the stations in the city of Douai, in order to enable accurate and efficient troubleshooting. The results will also be used to extrapolate the impact of the limited demonstration to a more city size simulation.

The programme is organised in seven work packages