Investigating the stability and degradation of hydrogen PEM fuel cell

被引:59
作者
Dhimish, Mahmoud [1 ]
Vieira, Romenia G. [2 ]
Badran, Ghadeer [1 ]
机构
[1] Univ York, Dept Elect Engn, York YO10 5DD, N Yorkshire, England
[2] Semiarid Fed Univ, Dept Engn & Technol, Francisco Mota Av, BR-59625900 Mossoro, Brazil
关键词
Fuel cell degradation; Fuel cell performance under ramp pressure; CDF model for fuel cell degradation; Fuel cell performance under purging routines; DC-DC CONVERTER; IMPLEMENTATION; MANAGEMENT;
D O I
10.1016/j.ijhydene.2021.08.183
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 hydrogen proton exchange membrane (PEM) fuel cells are promising to utilize fuel cells in electric vehicle (EV) applications. However, hydrogen PEM fuel cells are still encountering challenges regarding their functionality and degradation mechanism. Therefore, this paper aims to study the performance of a 3.2 kW hydrogen PEM fuel cell under accelerated operation conditions, including varying fuel pressure at a level of 0.1-0.5 bar, variable loading, and short-circuit contingencies. We will also present the results on the degradation estimation mechanism of four fuel cells working at different operational conditions, including high-to-low voltage range and high-to-low temperature variations. These experiments examine over 180 days of continuous fuel cell working cycle. We have observed that the drop in the fuel cells' efficiency is at around 7.2% when varying the stack voltage and up to 14.7% when the fuel cell's temperature is not controlled and remained at 95 degrees C. (C) 2021 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:37017 / 37028
页数:12
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共 31 条
  • [21] Co-production of electricity and hydrogen from wind: A comprehensive scenario-based techno-economic analysis
    Rezaei, Mostafa
    Khalilpour, Kaveh R.
    Mohamed, Mohamed A.
    [J]. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2021, 46 (35) : 18242 - 18256
  • [22] Multiscale modeling of degradation of full solid oxide fuel cell stacks
    Rizvandi, Omid Babaie
    Miao, Xing-Yuan
    Frandsen, Henrik Lund
    [J]. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2021, 46 (54) : 27709 - 27730
  • [23] A computational analysis on the operational behaviour of open-cathode polymer electrolyte membrane fuel cells
    Sagar, Anand
    Chugh, Sachin
    Sonkar, Kapil
    Sharma, Alok
    Kjeang, Erik
    [J]. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2020, 45 (58) : 34125 - 34138
  • [24] Analysis, modeling and implementation of an interleaved boost DC-DC converter for fuel cell used in electric vehicle
    Slah, Farhani
    Mansour, Amari
    Hajer, Marzougui
    Faouzi, Bacha
    [J]. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2017, 42 (08) : 28852 - 28864
  • [25] A Single Inductor Self-Startup Energy Combiner Circuit With Bioturbation Resilience in Multiple Microbial Fuel Cells
    Umaz, Ridvan
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2020, 67 (12) : 3227 - 3231
  • [26] A Power Management System for Microbial Fuel Cells With 53.02x0025; Peak End-to-End Efficiency
    Umaz, Ridvan
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2020, 67 (11) : 2592 - 2596
  • [27] Continuous input-current buck-boost DC-DC converter for PEM fuel cell applications
    Valdez-Resendiz, Jesus E.
    Sanchez, Victor M.
    Rosas-Caro, Julio C.
    Mayo-Maldonado, Jonathan C.
    Sierra, J. M.
    Barbosa, Romeli
    [J]. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2017, 42 (51) : 30389 - 30399
  • [28] Dynamic Reliability Assessment of PEM Fuel Cell Systems
    Vasilyev, A.
    Andrews, J.
    Dunnett, S. J.
    Jackson, L. M.
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2021, 210
  • [29] Degradation prediction of PEM fuel cell based on artificial intelligence
    Vichard, L.
    Harel, F.
    Ravey, A.
    Venet, P.
    Hissel, D.
    [J]. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2020, 45 (29) : 14953 - 14963
  • [30] Real-Time Adaptive Parameter Estimation for a Polymer Electrolyte Membrane Fuel Cell
    Xing, Yashan
    Na, Jing
    Costa-Castello, Ramon
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 15 (11) : 6048 - 6057