A new concept of water management diagnosis for a PEM fuel cell system

被引:15
作者
Ziane, M. Ait [1 ,2 ]
Join, C. [3 ]
Benne, M. [1 ]
Damour, C. [1 ]
Steiner, N. Yousfi [2 ]
Pera, M. C. [2 ]
机构
[1] Univ La Reunion, ENERGY Lab, Rue cassin, F-97715 St Denis, France
[2] Univ Franche Comte, FCLAB, CNRS, FEMTO-ST, Rue Thierry Mieg, F-90010 Belfort, France
[3] Univ Lorraine, CRAN, CNRS, UMR 7039, BP 239, F-54506 Nancy, France
关键词
PEMFC water management diagnosis; Membrane dehydration; Water condensation; Sensor fault detection; FAULT-DIAGNOSIS; COMPUTATIONAL ANALYSIS; PART II; CHANNELS; CHARTS; TOOL;
D O I
10.1016/j.enconman.2023.116986
中图分类号
O414.1 [热力学];
学科分类号
摘要
This paper presents a new diagnosis view of fuel cell water management. The faults related to water management in the fuel cell are addressed from the control point of view and their occurrence is considered as a consequence of a temperature sensor fault. To ensure proper operation of the polymer electrolyte membrane fuel cell (PEMFC), the stack temperature and inlet pressure are controlled by a model-free control. A fault in the temperature sensor that causes an imbalance in water content in the stack is detected by a new fault detection approach in model-free context. The validation of the proposed strategy is performed on a 1.2 kW fuel cell with real time detection of temperature sensor faults, leading to water condensation in the cells or membrane dehydration. Fuel cell control and diagnosis are achieved without any requirement of an accurate system analytical model and additional sensors. However, faults can be detected in quasi static operation only and not un transient state.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Water balance for the design of a PEM fuel cell system
    Mulyazmi
    Daud, W. R. W.
    Majlan, E. H.
    Rosli, M. I.
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2013, 38 (22) : 9409 - 9420
  • [2] Fault Diagnosis of a Commercial PEM Fuel Cell System using LMS AMESim
    Salim, Reem
    Noura, Hassan
    Fardoun, Abbas
    2017 7TH INTERNATIONAL CONFERENCE ON MODELING, SIMULATION, AND APPLIED OPTIMIZATION (ICMSAO), 2017,
  • [3] A Closed-Loop Water Management Methodology for PEM Fuel Cell System Based on Impedance Information Feedback
    Xu, Xinjie
    Li, Kai
    Liao, Zhenjie
    Cao, Jishen
    Wang, Renkang
    ENERGIES, 2022, 15 (20)
  • [4] Diagnosis of PEM fuel cell stack dynamic behaviors
    Chen, Jixin
    Zhou, Biao
    JOURNAL OF POWER SOURCES, 2008, 177 (01) : 83 - 95
  • [5] Water liquid distribution in a bioinspired PEM fuel cell
    Iranzo, Alfredo
    Gonzalez, G. M. Cabello
    Toharias, Baltasar
    Boillat, Pierre
    Rosa, Felipe
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2024, 50 : 221 - 233
  • [6] Diagnosis of PEM Fuel Cell System Based on Electrochemical Impedance Spectroscopy and Deep Learning Method
    Lv, Jianfeng
    Kuang, Jiyuan
    Yu, Zhongliang
    Sun, Guanghui
    Liu, Jianxing
    Leon, Jose I.
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2024, 71 (01) : 657 - 666
  • [7] Fault Sensitive Modeling and Diagnosis of PEM Fuel Cell for Automotive Applications
    Mohammadi, Ali
    Djerdir, Abdesslem
    Bouquain, David
    Bouriot, Beatrice
    Khaburi, Davood
    2013 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO (ITEC), 2013,
  • [8] Fault Diagnosis of Practical Polymer ElectrolyteMembrane (PEM) Fuel Cell System with Data-driven Approaches
    Mao, L.
    Jackson, L.
    Dunnett, S.
    FUEL CELLS, 2017, 17 (02) : 247 - 258
  • [9] Data-driven diagnosis of PEM fuel cell: A comparative study
    Li, Zhongliang
    Outbib, Rachid
    Hissel, Daniel
    Giurgea, Stefan
    CONTROL ENGINEERING PRACTICE, 2014, 28 : 1 - 12
  • [10] Robust Model-Based Fault Diagnosis for PEM Fuel Cell Air-Feed System
    Liu, Jianxing
    Luo, Wensheng
    Yang, Xiaozhan
    Wu, Ligang
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2016, 63 (05) : 3261 - 3270