Model Reduction for Multiscale Lithium-Ion Battery Simulation

Ohlberger M, Rave S, Schindler F

Forschungsartikel in Sammelband (Konferenz)

Zusammenfassung

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

Herausgeber*innen: Karasözen B, Manguoğlu M, Teuer-Sezgin M, Göktepe S, Uğur Ö
Buchtitel: Numerical Mathematics and Advanced Applications ENUMATH 2015
Veröffentlichungsjahr: 2016
Verlag: Springer
ISBN: 978-3-319-39927-0
Sprache, in der die Publikation verfasst ist: Englisch
Link zum Volltext: https://www.uni-muenster.de/AMM/includes/ohlberger/publications/ORS2016__Ohlberger_Rave_Schindler__2016__Model_Reduction_for_Multiscale_Lithium_Ion_Battery_Simulation.pdf