Model reduction for multiscale lithium-ion battery simulation

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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 nonlinearities 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.

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Ohlberger, M., Rave, S., & Schindler, F. (2016). Model reduction for multiscale lithium-ion battery simulation. In Lecture Notes in Computational Science and Engineering (Vol. 112, pp. 317–331). Springer Verlag. https://doi.org/10.1007/978-3-319-39929-4_31

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