A Modeling Framework for Efficient Reduced Order Simulations of Parametrized Lithium-Ion Battery Cells

Landstorfer M, Ohlberger M, Rave S, Tacke M

Research article (journal) | Peer reviewed

Abstract

In this contribution, we present a modelling and simulation framework for parametrised lithium-ion battery cells. We first derive a continuum model for a rather general intercalation battery cell on the basis of non-equilibrium thermodynamics. In order to efficiently evaluate the resulting parameterised non-linear system of partial differential equations, the reduced basis method is employed. The reduced basis method is a model order reduction technique on the basis of an incremental hierarchical approximate proper orthogonal decomposition approach and empirical operator interpolation. The modelling framework is particularly well suited to investigate and quantify degradation effects of battery cells. Several numerical experiments are given to demonstrate the scope and efficiency of the modelling framework.

Details about the publication

JournalEuropean Journal of Applied Mathematics
Volume34
Issue3
Page range554-591
StatusPublished
Release year2023
Language in which the publication is writtenEnglish
DOI10.1017/S0956792522000353
KeywordsReduced basis method, operator interpolation, battery modelling

Authors from the University of Münster

Ohlberger, Mario
Professorship of Applied Mathematics, especially Numerics (Prof. Ohlberger)
Center for Nonlinear Science
Center for Multiscale Theory and Computation
Rave, Stephan
Professorship of Applied Mathematics, especially Numerics (Prof. Ohlberger)
Tacke, Marie-Christin
Professorship of Applied Mathematics, especially Numerics (Prof. Ohlberger)