Multi Battery Systems - Hybrid and New Storage Simulation Tool

Third party funded individual grant

Project Details

Project leader:
Prof. Dr. Reinhard German

Project members:
Prof. Dr. Reinhard German
Paul Dicke

Contributing FAU Organisations:
Computer Science 7 (Computer Networks and Communication Systems)

Funding source: Siemens AG
Acronym: Multi Battery Systems (MBS)
Start date: 01/05/2017
End date: 30/04/2020

Research Fields

Smart Energy
Computer Science 7 (Computer Networks and Communication Systems)

Abstract (technical / expert description):

With the expansion of highly fluctuating renewables, the introduction of electric vehicles or securing the sufficient energy coverage of portable electronic devices electrochemical battery systems of each kind and dimensioning gain greater significance in various fields of everyday life. To assure cost- and time-efficient analysis for system design and project planning the usage of powerful models simulating the behavior of these battery systems is inevitable. In the project “Multi Battery Systems – Hybrid and New Storage Simulation Tool” in the context of FAU Campus – Future Energy Systems (FES) the Chair of Computer Science 7 (Computer Networks and Communication Systems) conceives detailed simulation models of several electrochemical battery storage systems. The project, which is realized in cooperation with Siemens AG Erlangen, aims to depict besides current storage technologies – like lithium-ion-batteries and lead-batteries – systems which thus far lack widespread application as well, like redox-flow-batteries or thermal batteries. In this manner, the designed models also extend the modular model-library of the software i7-AnyEnergy in order to enable more sophisticated analysis in distinct storage scenarios.


Dicke, P., Steinbacher, F., Schricker, B., & German, R. (2019, April). Universal Modelling Approach for Electrochemical Storage Units on System Level. Poster presentation at Advanced Battery Conference 2019, Aachen, DE.
Schlund, J., Betzin, C., Wolfschmidt, H., Veerashekar, K., & Luther, M. (2017). Investigation, modeling and simulation of redox-flow, lithium-ion and lead-acid battery systems for home storage applications. In Proceedings of the 11th International Renewable Energy Storage Conference (IRES 2017). Düsseldorf, DE.

Last updated on 2019-29-03 at 16:26