Project Overview

The project goal is to create a freely available data and tool basis for the planning and optimization of fast charging infrastructures. Here, regional renewable energy is integrated with sustainable energy storage in a common concept for charging infrastructures. In addition, a concept and framework for intelligent bidirectional use of the electric vehicle storage system is being developed.

Charging, user, energy and traffic data are collected and integrated using two demonstration systems (rapid charging station and a hybrid energy storage device). Development of location-independent operating strategies and economical models for fast charging stations.
Technical and economic concepts are being developed using artificial intelligence (AI) for Vehicle to Grid (V2G) and Vehicle to Home (V2H) use on the basis of another demonstration system with a bidirectional charging station.

 The expansion of electromobility, as well as the necessary electric charging infrastructure (ELI), Vehicle to Home (V2H) and Vehicle to Grid (V2G) concepts, is one of the core goals of the European Union and is defined in the European "Green Deal". As detailed in the national and European AI and data strategies, it is essential to build up a comprehensive data basis in order to develop innovative AI-based applications for modern, clean, efficient, sustainable and affordable mobility.

So far, however, no studies have been carried out on the conditions when linking supra-regional traffic flows with regional ones from volatile, regenerative energy sources charging infrastructure and how an efficient, demand-oriented integration of regional supply concepts into the charging infrastructure can succeed.

In the Open Mobility Electric Infrastructure (OMEI) project, the data basis is created for planning and optimizing sustainable regional ELI and concepts/framework conditions for the intelligent use of electric vehicles - such as Vehicle to Home (V2H) and Vehicle to Grid (V2G) - to rate.

Optimal economic, ecological and technical solutions for charging infrastructure in the European transport network are being developed by the OMEI project with the help of simulation models, operating strategies and innovative data management. This also corresponds to the key objectives of the Passau Declaration, which advocate, among other things, intelligent networking, expansion of the European data space and data-driven innovations for mobility. Likewise, the need for a broad database and optimization through AI for mobility is also becoming more general Development in rural areas in the future paper Ilzer Land 2030 required that created with the participation of the Office for Rural Development, the BMEL and the future workshop of the Fraunhofer Institute became.

In the OMEI project, traffic volume, use of or need for charging infrastructure, regional supply concepts with a system combination of renewable energies and sustainable energy storage and bidirectional use of vehicle storage (V2H/V2G) are considered. The simulation models will be validated using the data generated in three demonstration plants and existing European data to ensure transferability and scalability to other locations in the EU. An integral part is, among other things, the expansion of the database in order to be able to calculate the effects of an intelligent charging infrastructure on the energy transition and decarbonisation of the energy supply. The consortium has set itself the goal of creating a data-driven to create a European concept for the sustainable and economical provision of supply capacity for the overall expansion of electromobility. In addition, the data collected is made freely available in the mCLOUD of the BMVI, as well as other data platforms, in order to contribute directly to the European data space and to make it reusable as a basis for further research projects.

The necessary expansion of the ELI puts an enormous strain on the European interconnected grids. The high power requirement for fast charging systems on main traffic routes in Germany and Europe and the OMEI is accompanied by an increase in local power purchases, which is necessary for comprehensive coverage of the transport infrastructure. In order to avoid resource-intensive network expansion, therefore requires sustainable and grid-friendly charging infrastructure concepts.

Another aspect is that increasing the share of renewable energy (RE) in electromobility has a positive impact on the CO 2 balance. Promising sustainable energy storage concepts that meet the requirements for ELI are metal-free (organic) redox flow systems, second-life applications of vehicle batteries and the direct bidirectional use of the vehicle storage. A combination of the two battery systems through hybridization can cover the required performance (second-life vehicle battery) and energy (metal-free redox flow battery) for fast charging systems.

A regional use of RE with power buffering through energy storage (hybrid storage solution) reduces the transmission capacity via the European supply network and leads to cost savings in the expansion of supra-regional ELI. In order to develop a holistic solution for charging infrastructure concepts, the V2H/V2G charging and storage scenario is considered in this project. That's how it sets Consortium to use the potential of the available storage capacities of stationary vehicles and thus also to develop network-based charging and discharging scenarios with the help of artificial intelligence.

However, many concepts for the resource-saving and effective implementation of these concepts are based on no or too little data. In the OMEI project, the necessary database and the ELI concepts based on it are being implemented and optimized. Therefore, the project consortium faces the challenge of generating relevant data in two demonstration systems on a European tangent (e.g. along the A3) for the fast charging infrastructure and a demonstration system for a V2G or V2H solution and to present the ELI concepts across Europe using simulation models.