Parameter identification for nonlinear elliptic-parabolic systems with application in lithium-ion battery modeling

DOI10.1007/s10589-015-9734-8zbMath1342.49055OpenAlexW2133277951MaRDI QIDQ496235

Oliver Lass, Stefan Volkwein

Publication date: 21 September 2015

Published in: Computational Optimization and Applications (Search for Journal in Brave)

Full work available at URL: http://nbn-resolving.de/urn:nbn:de:bsz:352-250578

zbMATH Keywords

proper orthogonal decompositionparameter identificationGauss-Newton methoda-posteriori error estimateslithium-ion battery modelingnonlinear elliptic-parabolic systemssubset selection method

Mathematics Subject Classification ID

Newton-type methods (49M15) Nonlinear parabolic equations (35K55) Nonlinear elliptic equations (35J60) Decomposition methods (49M27) Inverse problems in optimal control (49N45)

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 ⋮ Model Order Reduction Techniques with a Posteriori Error Control for Nonlinear Robust Optimization Governed by Partial Differential Equations ⋮ Model Order Reduction for Rotating Electrical Machines ⋮ A-posteriori error analysis for lithium-ion concentrations in batteries utilizing the reduced-basis method

Uses Software

• rbMIT
• NewtonLib
• KELLEY

Cites Work

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