Model Reduction for Multiscale Lithium-Ion Battery Simulation

Ohlberger M, Rave S, Schindler F

Research article in edited proceedings (conference)

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 zur Publikation

Publisher: Karasözen B, Manguoğlu M, Teuer-Sezgin M, Göktepe S, Uğur Ö
Book title: Numerical Mathematics and Advanced Applications ENUMATH 2015
Release year: 2016
Publishing company: Springer
ISBN: 978-3-319-39927-0
Language in which the publication is writtenEnglish
Link to the full text: https://www.uni-muenster.de/AMM/includes/ohlberger/publications/ORS2016__Ohlberger_Rave_Schindler__2016__Model_Reduction_for_Multiscale_Lithium_Ion_Battery_Simulation.pdf