BMBF PROJECT: MULTIBAT

Multiscale Models and Model Order Reduction Methods
for Predicting the Life-Time of Lithium-Ion Batteries

The aim of this collaborative research project is the development of efficient mathematical methods for the modeling of multi-phase and multi-scale processes in lithium-ion batteries. The modeling involves the stochastic structure modeling of porous electrodes for the generation of parametrized dynamic structure models based on imaging data, the mathematical modeling of the underlying physical and electrochemical processes by coupled systems of partial differential equations, their efficient high-resolution simulation with modern adaptive multiscale methods, as well as the model order reduction of high-dimensional, parameterized multiscale systems to enable rapid parameter studies, sensitivity analyses or uncertainty quantification. The work focuses on the adaptive modeling of degradation processes that lead to a change in the underlying geometric structure of the porous electrode material. In particular, the local deposition of metallic lithium (lithium plating) is investigated in this project.

Project management

Prof. Dr. Mario Ohlberger, University of Münster

Project duration

01.07.2013 – 30.06.2016

Project Partners

	DLR at Helmholtz Institute Ulm Prof. Dr. Arnulf Latz
	Fraunhofer Institute for Industrial Mathematics ITWM Prof. Dr. Oleg Iliev Dr. Sebastian Schmidt
	Ulm University Prof. Dr. Volker Schmidt
	University of Münster Prof. Dr. Mario Ohlberger

Industrial Partner

• Deutsche ACCUmotive GmbH & Co. KG
  • Dr. Andres Pott