Proton exchange membrane fuel cell behavioral model suitable for prognostics

被引:78
|
作者
Lechartier, Elodie [1 ,2 ]
Laffly, Elie [3 ]
Pera, Marie-Cecile [1 ,2 ]
Gouriveau, Rafael [1 ,2 ]
Hissel, Daniel [1 ,2 ]
Zerhouni, Noureddine [1 ,2 ]
机构
[1] FEMTO ST Inst UMR CNRS 6174, F-25000 Besancon, France
[2] FCLAB FR CNRS 3539, F-90000 Belfort, France
[3] Alstom Hydro, F-90000 Belfort, France
关键词
Proton exchange membrane fuel cell; Prognostics and health management; Behavioral model; Static; Dynamic; DIAGNOSTIC-TOOLS; DYNAMIC-BEHAVIOR; CIRCUIT MODEL; PEMFC; DEGRADATION; STACK; METHODOLOGIES; TEMPERATURE; SIMULATION;
D O I
10.1016/j.ijhydene.2015.04.099
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
Prognostics and Health Management (PHM) is a discipline that enables the estimation of the Remaining Useful Life (RUL) of a system and is not yet much applied to Proton Exchange Membrane Fuel Cell PEMFC. However it could permit the definition of adequate conditions allowing extending PEMFC's too short life duration. For that purpose, a model that can reproduce the behavior of a PEMFC is needed. This paper presents a model of a PEMFC that could serve for a prognostics purpose. The model is composed of a static part and a dynamic parts that are independent. On one side, the static part is developed thanks to equations describing the physical phenomena and is based on the Butler-Volmer law. On the other side, the dynamic part is an electrical equivalency of physical phenomenon. The models are validated thanks to experimental data gathered in long term tests. For that purpose the parameters are successively updated based on characterization measurements (polarisation curves and EIS (electrochemical impedance spectroscopy)). Then the results of the model are compared to the ageing data in order to evaluate if the model is able to reproduce the behavior of the fuel cell. The usefulness of this model for prognostics is finally discussed. Copyright (C) 2015, Hydrogen Energy Publications, LLC. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:8384 / 8397
页数:14
相关论文
共 50 条
  • [1] A review on prognostics and health monitoring of proton exchange membrane fuel cell
    Sutharssan, Thamo
    Montalvao, Diogo
    Chen, Yong Kang
    Wang, Wen-Chung
    Pisac, Claudia
    Elemara, Hakim
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2017, 75 : 440 - 450
  • [2] A Review on Prognostics of Proton Exchange Membrane Fuel Cells
    Liu, Hao
    Chen, Jian
    Ouyang, Quan
    Su, Hongye
    2016 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC), 2016,
  • [3] Data-Fusion Prognostics of Proton Exchange Membrane Fuel Cell Degradation
    Ma, Rui
    Li, Zhongliang
    Breaz, Elena
    Liu, Chen
    Bai, Hao
    Briois, Pascal
    Gao, Fei
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2019, 55 (04) : 4321 - 4331
  • [4] Degradation identification and prognostics of proton exchange membrane fuel cell under dynamic load
    Yue, Meiling
    Li, Zhongliang
    Roche, Robin
    Jemei, Samir
    Zerhouni, Noureddine
    CONTROL ENGINEERING PRACTICE, 2022, 118
  • [5] Prognostics of Proton Exchange Membrane Fuel Cells Using A Model-based Method
    Liu, Hao
    Chen, Jian
    Zhu, Chuyan
    Su, Hongye
    Hou, Ming
    IFAC PAPERSONLINE, 2017, 50 (01): : 4757 - 4762
  • [6] Proton exchange membrane fuel cell model for prognosis
    Detti, A. H.
    Jemei, S.
    Steiner, N. Yousfi
    2018 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC), 2018,
  • [7] A general model of proton exchange membrane fuel cell
    Le, Anh Dinh
    Zhou, Biao
    JOURNAL OF POWER SOURCES, 2008, 182 (01) : 197 - 222
  • [8] Proton Exchange Membrane Fuel Cell Prognostics Using Genetic Algorithm and Extreme Learning Machine
    Chen, K.
    Laghrouche, S.
    Djerdir, A.
    FUEL CELLS, 2020, 20 (03) : 263 - 271
  • [9] A novel degradation model of proton exchange membrane fuel cells for state of health estimation and prognostics
    Wang, Penghao
    Liu, Hao
    Chen, Jian
    Qin, Xiaoping
    Lehnert, Werner
    Shao, Zhigang
    Li, Ruiyu
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2021, 46 (61) : 31353 - 31361
  • [10] Surrogate model for proton exchange membrane fuel cell (PEMFC)
    Tirnovan, R.
    Giurgea, S.
    Miraoui, A.
    Cirrincione, A.
    JOURNAL OF POWER SOURCES, 2008, 175 (02) : 773 - 778