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

Landstorfer M, Ohlberger M, Rave S, Tacke M

Forschungsartikel (Zeitschrift) | Peer reviewed

Zusammenfassung

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 zur Publikation

FachzeitschriftEuropean Journal of Applied Mathematics
Jahrgang / Bandnr. / Volume34
Ausgabe / Heftnr. / Issue3
Seitenbereich554-591
StatusVeröffentlicht
Veröffentlichungsjahr2023
Sprache, in der die Publikation verfasst istEnglisch
DOI10.1017/S0956792522000353
StichwörterReduced basis method, operator interpolation, battery modelling

Autor*innen der Universität Münster

Ohlberger, Mario
Professur für Angewandte Mathematik, insbesondere Numerik (Prof. Ohlberger)
Center for Nonlinear Science (CeNoS)
Center for Multiscale Theory and Computation (CMTC)
Rave, Stephan
Professur für Angewandte Mathematik, insbesondere Numerik (Prof. Ohlberger)
Tacke, Marie-Christin
Professur für Angewandte Mathematik, insbesondere Numerik (Prof. Ohlberger)