Model Reduction for Multiscale Lithium-Ion Battery Simulation

TL;DR

This paper introduces advanced model reduction techniques, including the reduced basis method and localized multiscale approaches, to efficiently simulate complex multiscale lithium-ion battery models with nonlinear kinetics and thermal effects.

Contribution

It presents novel applications of reduced basis and localized multiscale methods to lithium-ion battery models with nonlinearities and multiscale features.

Findings

Significant reduction in computational cost demonstrated.

Effective handling of nonlinear Butler-Volmer kinetics.

Successful application to thermal battery models.

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.