Balanced Charging of Electric Vehicles

Abstract

In the future, the growing number of electric vehicles on the roads will lead to new challenges for both the traffic and the energy system. Therefore, the BMWi funded project iMove deals with such a problem in the field of electromobility. Within the project we focus on the current situation in the city of Stuttgart. We analyze current real data on charging behavior, road and energy networks. Moreover, we forecast future bottlenecks within these systems based on the data and counteract bottlenecks by means of incentive and control mechanisms developed in the project. For example, the electric vehicles are navigated to available charging stations in such a way that on the one hand the traffic flow is not obstructed and on the other hand the underlying electric network is not overloaded by the charging behavior. The navigation proposals and other incentives will be optimized with regard to the interests of the individual electric vehicle driver as well as with regard to the interests of the infrastructure providers for traffic and electricity systems. This optimization problem stands out from other scientific problems in the field of electromobility in particular by taking into account the state of the energy grid.

Summary

• Creating an integrated database which includes the raw data of the transport system, the charging infrastructure and the energy system
• Implementation of a backend data server via which the anonymized data of all project partners is bundled and made available
• Determination of future bottlenecks on the basis of condition, demand and capacity utilization forecasts for electric fleets, traffic routes and the electricity supply system
• Development of incentive and control mechanisms which allow the system-optimal influencing of electrified vehicles to avoid the predicted bottlenecks in mobility and electricity supply systems
• Validation of results with regard to applicability, scalability and transferability