Maximum efficiency points of a proton-exchange membrane fuel cell system: Theory and experiments
Hendra I. Nurdin,
Amel Benmouna,
Bin Zhu,
Jiayin Chen,
Mohamed Becherif,
Daniel Hissel and
John Fletcher
Applied Energy, 2024, vol. 359, issue C, No S0306261924000126
Abstract:
In this paper, a theoretical expression for the efficiency of a fuel cell system is derived. The studied system consists of a proton-exchange membrane fuel cell stack coupled at its output to a DC/DC boost converter. A fuel cell stack Larminie and Dicks model along with an efficiency curve for our boost converter are fitted using experimental data. One maximum efficiency point for the fuel cell stack coupled to the DC/DC power converter is shown and lies in the safe zone of the fuel cell stack. Experimental results on the fuel cell efficiency, DC/DC efficiency and their association on a test bench indicate a good agreement between the theoretical estimations and the experimentally obtained results at different values of the DC/DC converter output voltage. The results provide strong theoretical and experimental evidence for a unique maximum efficiency point for the fuel cell system and form a basis for developing maximum efficiency point tracking algorithms.
Keywords: Fuel cell; DC/DC converter; Efficiency; Maximum efficiency point tracking (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261924000126
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:359:y:2024:i:c:s0306261924000126
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic
DOI: 10.1016/j.apenergy.2024.122629
Access Statistics for this article
Applied Energy is currently edited by J. Yan
More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().