多物理
MATLAB语言
粒子群优化
计算机科学
解算器
电池(电)
算法
工程类
物理
有限元法
功率(物理)
结构工程
量子力学
程序设计语言
操作系统
作者
Gabriele Pozzato,Simona Onori
摘要
<div class="section abstract"><div class="htmlview paragraph">This paper develops a co-simulation framework based on the use of the package <i>LiveLink</i><sup>TM</sup><i>for Matlab</i> to perform parameters optimization of dynamical systems implemented in <i>COMSOL Multiphysics</i>. 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.</div></div>
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