Publica
Hier finden Sie wissenschaftliche Publikationen aus den FraunhoferInstituten. A model reduction framework for efficient simulation of Liion batteries
 Fuhrmann, J.: Finite Volumes for Complex Applications VII  Elliptic, Parabolic and Hyperbolic Problems : FVCA 7, Berlin, June 2014 Cham: Springer International Publishing, 2014 (Springer Proceedings in Mathematics & Statistics 78) ISBN: 9783319055909 (Print) ISBN: 9783319055916 (Online) S.695702 
 Conference on "Finite Volumes for Complex Applications" (FVCA) <7, 2014, Berlin> 

 Englisch 
 Konferenzbeitrag 
 Fraunhofer ITWM () 
Abstract
In order to achieve a better understanding of degradation processes in lithiumion batteries, the modelling of cell dynamics at the mircometer scale is an important focus of current mathematical research. These models lead to largedimensional, highly nonlinear finite volume discretizations which, due to their complexity, cannot be solved at cell scale on current hardware. Model order reduction strategies are therefore necessary to reduce the computational complexity while retaining the features of the model. The application of such strategies to specialized high performance solvers asks for new software designs allowing flexible control of the solvers by the reduction algorithms. In this contribution we discuss the reduction of microscale battery models with the reduced basis method and report on our new software approach on integrating the model order reduction software pyMOR with thirdparty solvers. Finally, we present numerical results for the reduction of a 3D microscale battery model with porous electrode geometry.