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A Modeling Framework for Efficient Reduced Order Simulations of Parametrized Lithium-Ion Battery Cells

2021/10/12 by Manuel Landstorfer, Landstorfer, M., Mario Ohlberger +5
Decision Sciences · Engineering · #34B15 #35Q92 #49M37 #65K05 #78A57 #Advanced Battery Technologies Research #FOS: Mathematics #Numerical Analysis (math.NA) #Probabilistic and Robust Engineering Design #Real-time simulation and control systems

paper · pdf · doi:10.48550/arxiv.2110.06011

openalex publication_date 2021/10/12 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

In this contribution we present a new modeling and simulation framework for parametrized Lithium-ion battery cells. We first derive a new continuum model for a rather general intercalation battery cell on the basis of non-equilibrium thermodynamics. In order to efficiently evaluate the resulting parameterized non-linear system of partial differential equations the reduced basis method is employed. The reduced basis method is a model order reduction technique on the basis of an incremental hierarchical approximate proper orthogonal decomposition approach and empirical operator interpolation. The modeling framework is particularly well suited to investigate and quantify degradation effects of battery cells. Several numerical experiments are given to demonstrate the scope and efficiency of the modeling framework.

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