Systematic parameter estimation for PEM fuel cell models

被引：52

作者：

Carnes, B ^{[1
]}

Djilali, N ^{[1
]}

机构：

[1] Univ Victoria, Inst Integrated Energy Syst, IESVic, Victoria, BC V6W 3P6, Canada

来源：

JOURNAL OF POWER SOURCES | 2005年 / 144卷 / 01期

基金：

加拿大自然科学与工程研究理事会;

关键词：

parameter estimation; PEM fuel cell; adaptive mesh refinement;

D O I：

10.1016/j.jpowsour.2004.12.024

中图分类号：

O64 [物理化学（理论化学）、化学物理学];

学科分类号：

070304 ; 081704 ;

摘要：

The problem of parameter estimation is considered for the case of mathematical models for polymer electrolyte membrane fuel cells (PEMFCs). An algorithm for nonlinear least squares constrained by partial differential equations is defined and applied to estimate effective membrane conductivity, exchange current densities and oxygen diffusion coefficients in a one-dimensional PEMFC model for transport in the principal direction of current flow. Experimental polarization curves are fitted for conventional and low current density PEMFCs. Use of adaptive mesh refinement is demonstrated to increase the computational efficiency. (c) 2005 Elsevier B.V. All rights reserved.

引用

页码：83 / 93

页数：11

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