Model Reduction for Multiscale Lithium-Ion Battery Simulation

Ohlberger M, Rave S, Schindler F

Research article in edited proceedings (conference) | Peer reviewed

Abstract

In this contribution we are concerned with efficient model reduction for multiscale problems arising in lithium-ion battery modeling with spatially resolved porous electrodes. We present new results on the application of the reduced basis method to the resulting instationary 3D battery model that involves strong non-linearities due to Buttler-Volmer kinetics. Empirical operator interpolation is used to efficiently deal with this issue. Furthermore, we present the localized reduced basis multiscale method for parabolic problems applied to a thermal model of batteries with resolved porous electrodes. Numerical experiments are given that demonstrate the reduction capabilities of the presented approaches for these real world applications.

Details about the publication

EditorsKarasözen B, Manguoğlu M, Teuer-Sezgin M, Göktepe S, Uğur Ö
Book titleNumerical Mathematics and Advanced Applications ENUMATH 2015
Page range317-331
PublisherSpringer
Title of seriesLecture Notes in Computational Science and Engineering (ISSN: 1439-7358)
Volume of series112
StatusPublished
Release year2016
Language in which the publication is writtenEnglish
ConferenceENUMATH 2015, Ankara, Turkey
ISBN978-3-319-39927-0
DOI10.1007/978-3-319-39929-4_31
Link to the full texthttps://www.uni-muenster.de/AMM/includes/ohlberger/publications/ORS2016__Ohlberger_Rave_Schindler__2016__Model_Reduction_for_Multiscale_Lithium_Ion_Battery_Simulation.pdf

Authors from the University of Münster

Ohlberger, Mario
Professorship of Applied Mathematics, especially Numerics (Prof. Ohlberger)
Center for Data Science and Complexity (CDSC)
Center for Multiscale Theory and Computation (CMTC)
Rave, Stephan
Professorship of Applied Mathematics, especially Numerics (Prof. Ohlberger)
Schindler, Felix Tobias
Professorship of Applied Mathematics, especially Numerics (Prof. Ohlberger)

Projects the publication originates from

Duration: 01/07/2013 - 31/08/2016
Funded by: Federal Ministry of Research, Technology and Space
Type of project: Participation in federally funded joint project