Energy storage systems have a central role in future energy supply and mobility systems with numerous fields of application: large battery storage parks stabilize the grid and trade electricity, home storage systems enable the intermediate storage of photovoltaic power and electric vehicles can be used to stabilize the grid through vehicle-to-grid as well.

The goal of the team Application and System Integration is to investigate fundamental questions about system design, optimal operation, efficiency and aging of energy storage systems as a whole. For this purpose, we use methods of mathematical optimization, machine learning and various modelling approaches. The findings flow directly into our techno-economic and techno-ecological assessments. Through open-source code we make our comprehensive simulation and optimization tool landscape available to the public.

Topics covered:

• Optimized system design and operation of energy storage systems
• Consideration of various fields of application, e.g. home storage, microgrids, vehicle-to-grid and multi-use concepts
• Optimized matching of applications and suitable battery cell types
• Field data-based state estimation and state prediction
• Battery aging modelling and aging aware battery operation
• Life-cycle assessment, especially of stationary battery storage systems
• Generation and characterization of battery usage profiles for different applications

Further details can be found on the following page:

• Simulation and optimization: software tools