1. Creating the incentive signal: To create the incentive signal, a simulation is made of possible future energy situations taking into account framework conditions like the installed power of fluctuating energy producers and fuel prices derived from existing energy scenarios. A marginal cost-based tariff for load and feed-in management is calculated using the agent-based market equilibrium model PowerACE. Moreover, a field trial evaluation, the effect of the signal with regard to the integration of renewable energies is analysed and assessed in a simulation environment.

2. Developing/Testing hardware for electric vehicles: Deriving decisions about charging/feed-in behaviour and grid support functions from the grid situation monitored by the vehicle and an energy-sector incentive signal given by specialised algorithms that still have to be developed.

3. Deriving ICT products that conform with customer requirements: Designing and further developing methods to assess the acceptance of ICT products. Customer acceptance is studied based on two main pillars

3.1. Accompanying the field tests in the project, especially the vehicle fleet provided by Daimler

3.2. Representative survey of population