Project Aims

Aim of the project: Shared use of electric vehicle fleets

The aim of the research project Shared E-Fleet is to design and implement an integrated, cloud-based ICT solution for operating shared electric vehicle fleets across the boundaries of individual enterprises and organizations. The developed solutions will be tested under realistic conditions in a pilot scheme at different locations.

The target groups are specifically small and medium-sized enterprises (SME) which are sharing an electric vehicle fleet, e.g. in technology parks, industrial areas and so on, in order to achieve the critical mass of utilization of electric vehicles. The project also addresses large-scale enterprises and public authorities which are sharing electric vehicle fleets on their locations and with associated businesses and organizations based on other locations. Another target group is companies trying to optimize the utilization rate of their electric vehicle fleets by additionally making available the vehicles to their employees for private use.

The following illustration gives an overview of the approach of the Shared E-Fleet research project:

Integrated, intermodal mobility

The intelligent planning of vehicle operation schedules, partnering models with motor pools on other locations and integrated, intermodal mobility based on a smart traffic system will increase the appeal of electric vehicles for all target groups and strengthen the signalling effect on public perception. Also new concepts of interaction with a smart energy grid based on renewable energy sources are being developed and tested. This includes an intelligent charging control which considers predefined charging curves and the integration of an intelligent energy system. Using smartphones for access management increases the usability and also adds a feeling of “modern lifestyle” which seems especially important considering the public acceptance of electric vehicles.

The project covers the following areas:

  • Cross-company vehicle operation schedules and additional private use by employees in order to optimize the utilization rate of electric vehicles
  • Intelligent charging strategies with predefined charging curves on smart grid and decentralized IT management
  • Partnering models with motor pools on other locations and intermodal journeys
  • Simplified billing models and roaming concepts for vehicles and charging infrastructure
  • Integration into a smart traffic system through the operation of data on an open platform
  • Simulation and data analytics in order to optimize electric vehicle fleets and charging strategies
  • Use of smartphones for mobile access to electric vehicles and charging stations as well as for smart apps