An analysis of fluidic voltage statistical correlation for a diagnosis of PEM fuel cell flooding

被引:42
|
作者
Giurgea, S. [1 ]
Tirnovan, R. [2 ]
Hissel, D. [1 ]
Outbib, R. [3 ]
机构
[1] UTBM, FCLAB Fuel Cell Lab Res Federat, UMR CNRS 6174, FEMTO ST,ENERGIE Dept,UFC,FR CNRS 3539, F-90010 Belfort, France
[2] Tech Univ Cluj Napoca, Elect Power Syst & Management Dept, Cluj Napoca, Romania
[3] Univ Aix Marseille, Lab Informat Sci & Syst LSIS, Marseille, France
关键词
PEM fuel cells; Diagnosis; Flooding; Conditional analysis; CHANNELS; MODES; FLOW;
D O I
10.1016/j.ijhydene.2013.01.060
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 fault diagnosis is one of the most important topics on Proton Exchange Membrane Fuel Cell (PEMFC) stacks. Statistical methodologies for diagnosis are considered as one of the most relevant. This paper is dedicated to the diagnosis of flooding, using statistical methodology. In the literature, previous researches establish that in PEM (Proton Exchange Membrane) fuel cell stacks, single cell voltage variance increases when flooding conditions appear at the cathode side of the fuel cell stack. In this paper, these flooding conditions were completed by increasing the hygrometry of the inlet air flow at constant temperature of the fuel cell stack, or by decreasing the temperature of the fuel cell stack at constant hygrometry of inlet air flow. The obtained experimental results are here correlated with a fluidic model of flooding conditions. This new diagnosis approach directly provides the percentage of flooded channels in the fuel cell stack as a measure of the flooding of the fuel cell stack. Copyright (C) 2013, Hydrogen Energy Publications, LLC. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:4689 / 4696
页数:8
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