Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Applied Energyarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Applied Energy
Article . 2019 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
versions View all 1 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Fuel saving strategy using real-time switching of the fueling regulators in the proton exchange membrane fuel cell system

Authors: Nicu Bizon; Nicu Bizon;

Fuel saving strategy using real-time switching of the fueling regulators in the proton exchange membrane fuel cell system

Abstract

Abstract A new strategy based on a real-time switching of the fueling regulators’ inputs is proposed in this paper to achieve better fuel saving for the fuel cell systems. The performance of the proposed strategy is compared with two basic strategies that operate in full loading range. In fact, by splitting the operating range in two ranges, where each basic strategy operates best, the proposed strategy mixes the benefits of these two strategies. The switching threshold between the loading ranges is optimally set using the sensitivity analysis. The fuel savings for all strategies analyzed in this study are compared to those obtained using the static feed-forward strategy for fueling regulators. The load-following mode for fueling regulators is implemented based on switching rule of the basic strategies, comparing the load demand with the aforementioned switching threshold. The load-based control provides huge advantages regarding battery size and operation in charge-sustained mode (which increases its lifetime). The best fuel saving can be obtained in real-time based on search flexibility on the optimization surface (with two variables). Compared with the best basic strategy, the fuel saving is 1.63 and 2.07 – times higher for a pulsed load and stair load, respectively. Also, compared with the total fuel consumption of the static feed-forward strategy, the fuel saving is 25.87% and 13.72% for the aforementioned load profiles. The obtained results are good and can motivate the further research in order to test and validate this strategy for fuel cell vehicles.

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    17
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Average
Top 10%