Multiscale Models and Model Reduction Methods for Predicting the Lifetime of Lithium-Ion Batteries

Aim of the BMBF Project: MULTIBAT

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.