Landstorfer M, Ohlberger M, Rave S, Tacke M
Forschungsartikel (Zeitschrift) | Peer reviewedIn 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.
Ohlberger, Mario | Professur für Angewandte Mathematik, insbesondere Numerik (Prof. Ohlberger) Center for Nonlinear Science (CeNoS) Center for Multiscale Theory and Computation (CMTC) (CMTC) |
Rave, Stephan | Professur für Angewandte Mathematik, insbesondere Numerik (Prof. Ohlberger) |
Tacke, Marie-Christin | Professur für Angewandte Mathematik, insbesondere Numerik (Prof. Ohlberger) |
Laufzeit: 01.01.2018 - 31.12.2021 Gefördert durch: Bundesministerium für Forschung, Technologie und Raumfahrt Art des Projekts: Beteiligung an einem bundesgeförderten Verbund |
A Multi-Stage Model Order Reduction Framework for Efficient Simulations of Parametrized Lithium-Ion Battery Cells Promovend*in: Zumbülte, Marie-Christin (geb. Tacke) | Betreuer*innen: Ohlberger, Mario | Gutachter*innen: Ohlberger, Mario; Engwer, Christian Zeitraum: 01.04.2018 - 08.12.2022 Promotionsverfahren erfolgt(e) an: Promotionsverfahren an der Universität Münster |