Localized Reduced Basis Approximation of a Nonlinear Finite Volume Battery Model with Resolved Electrode Geometry

Abstract

In this contribution we present first results towards localized model order reduction for spatially resolved, three-dimensional lithium-ionbattery models. We introduce a localized reduced basis scheme based on non-conforming local approximation spaces stemming from a finite volume discretizationof the analytical model and localized empirical operator interpolation for the approximation of the model's nonlinearities. Numerical examples are provided indicating the feasibility of our approach.

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• pyMOR - Generic Algorithms and Interfaces for Model Order Reduction
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• ArbiLoMod, a Simulation Technique Designed for Arbitrary Local Modifications
• Model Reduction for Multiscale Lithium-Ion Battery Simulation
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Cited by in corpus (2)

• MULTIBAT: Unified workflow for fast electrochemical 3D simulations of lithium-ion cells combining virtual stochastic microstructures, electrochemical degradation models and model order reduction
• A Modeling Framework for Efficient Reduced Order Simulations of Parametrized Lithium-Ion Battery Cells