A General Matlab and COMSOL Co-simulation Framework for Model Parameter Optimization: Lithium-Ion Battery and Gasoline Particulate Filter Case Studies

This paper develops a co-simulation framework based on the use of the package LiveLink^TMfor Matlab to perform parameters optimization of dynamical systems implemented in COMSOL Multiphysics. The identification problem is recast as an optimization problem which is solved in Matlab. Code for the key steps of the approach is described in detail, and an implementation based on the particle swarm optimization (PSO) algorithm is proposed. The effectiveness and general applicability of the framework are shown for two energy systems: lithium-ion battery (LIB) and gasoline particulate filter (GPF). Matlab codes and COMSOL models for both case studies are made publicly available and can be used as a starting point to solve parameter identification problems for systems beyond the case studies presented here.