Model Reduction for Multiscale Lithium-Ion Battery Simulation

DOI10.1007/978-3-319-39929-4_31zbMath1355.78031arXiv1602.08910OpenAlexW2292151956MaRDI QIDQ3179675

Felix Schindler, Stephan Rave, Mario Ohlberger

Publication date: 19 December 2016

Published in: Lecture Notes in Computational Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1602.08910

zbMATH Keywords

model reductionfinite volume discretizationlithium-ion battery modelingheat conduction modelreaction-diffusion transport system

Mathematics Subject Classification ID

Reaction-diffusion equations (35K57) Finite difference methods applied to problems in optics and electromagnetic theory (78M20) 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

Quadratic approximation manifold for mitigating the Kolmogorov barrier in nonlinear projection-based model order reduction, 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, True Error Control for the Localized Reduced Basis Method for Parabolic Problems, Localized Reduced Basis Approximation of a Nonlinear Finite Volume Battery Model with Resolved Electrode Geometry, An implicit-explicit Runge-Kutta-Chebyshev finite element method for the nonlinear Lithium-ion battery equations, Multiscale model reduction for pore-scale simulation of Li-ion batteries using GMsFEM, pyMOR -- Generic Algorithms and Interfaces for Model Order Reduction, Non-conforming Localized Model Reduction with Online Enrichment: Towards Optimal Complexity in PDE Constrained Optimization

Uses Software

• DUNE
• redbKIT
• pyMOR

Cites Work

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