A Model Reduction Framework for Efficient Simulation of Li-Ion Batteries

DOI10.1007/978-3-319-05591-6_69zbMath1327.78021arXiv1404.0972OpenAlexW1719091534MaRDI QIDQ2946130

Shiquan Zhang, Sebastian M. Schmidt, Stephan Rave, Mario Ohlberger

Publication date: 16 September 2015

Published in: Finite Volumes for Complex Applications VII-Elliptic, Parabolic and Hyperbolic Problems (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1404.0972

zbMATH Keywords

finite volume discretizationsmodel-order reductionlithium-ion batteries

Mathematics Subject Classification ID

Electrochemistry (78A57) Finite volume methods, finite integration techniques applied to problems in optics and electromagnetic theory (78M12) Model reduction in optics and electromagnetic theory (78M34)

Related Items (5)

Model Reduction for Multiscale Lithium-Ion Battery Simulation ⋮ A modelling framework for efficient reduced order simulations of parametrised lithium-ion battery cells ⋮ The numerical study of a microscale model for lithium-ion batteries ⋮ Localized Reduced Basis Approximation of a Nonlinear Finite Volume Battery Model with Resolved Electrode Geometry ⋮ pyMOR -- Generic Algorithms and Interfaces for Model Order Reduction

Cites Work

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• A generic grid interface for parallel and adaptive scientific computing. I: Abstract framework
• Reduced Basis Approximation for Nonlinear Parametrized Evolution Equations based on Empirical Operator Interpolation
• Finite Volume Discretization of Equations Describing Nonlinear Diffusion in Li-Ion Batteries
• Reduced basis method for finite volume approximations of parametrized linear evolution equations

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