Online identification of semi-empirical model parameters for PEMFCs

被引：75

作者：

Ettihir, K. ^{[1
]}

Boulon, L. ^{[1
]}

Becherif, M. ^{[2
]}

Agbossou, K. ^{[1
]}

Ramadan, H. S. ^{[3
]}

机构：

[1] Univ Quebec Trois Rivieres, Hydrogen Res Inst, Trois Rivieres, PQ G9A 5H7, Canada

[2] Univ Technol Belfort Montbeliard, Femto ST UMR CNRS 6174, FCLab FR CNRS 3539, Sevenans, France

[3] Zagazig Univ, Fac Engn, Elect Power & Machines Dept, Zagazig 44519, Egypt

来源：

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY | 2014年 / 39卷 / 36期

基金：

加拿大自然科学与工程研究理事会;

关键词：

PEM fuel cells; Model identification; Energy management; Recursive Least Square; Semi-empirical model; ELECTROLYTE FUEL-CELL; ENERGY MANAGEMENT; EXPONENTIAL CONVERGENCE; SYSTEM-IDENTIFICATION; CONTROL STRATEGIES; ELECTRIC VEHICLES; PERFORMANCE; HYBRID; TECHNOLOGY; ALGORITHMS;

D O I：

10.1016/j.ijhydene.2014.10.045

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：

In this paper, a semi-empirical model has been proposed for online identification in order to improve the performances of Fuel Cell Vehicles (FCV). The Adaptive Recursive Least Square (ARLS) method has been considered to update the semi-empirical model parameters online to cope with Fuel Cell System (FCS) parameter variations. After introducing a literature review of the semi-empirical model for online identification to show its importance. A Matlab/Simulink model has been designed to define the initial parameters of the ARLS algorithm for the online identification in real time. Then, an experimental test bench has been performed to verify the ARLS algorithm in real time on a Proton Exchange Membrane Fuel Cell (PEMFC). In order to simplify the semi-empirical model, an extensive ANalysis Of VAriance (ANOVA) technique has been used to evaluate the impact of each model parameter. It has been confirmed that the ARLS algorithm is suitable to take into account the operating parameters that changes the PEMFC performance. The simulation using ANOVA results has shown that a parameter with relative low impact (mass transport) is very relevant for the energy management. Therefore, the proposed study can be used for the control and energy management of the Hydrogen Research Institute FCV taking into account the influence of operating conditions. Copyright (c) 2014, Hydrogen Energy Publications, LLC. Published by Elsevier Ltd. All rights reserved.

引用

页码：21165 / 21176

页数：12

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