Attila Peter Husar

Dr. Attila Peter Husar

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Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2011 in Journal of Power Sources
Verified
Journal Article
Closed access
SLS. de Lira
S. de Lira
Vicenç PuigVicenç Puig
Vicenç Puig
Joseba QuevedoJoseba Quevedo
Joseba Quevedo
AHAttila Peter Husar
Attila Peter Husar

1 February 2014 in Journal of Power Sources
Verified
Journal Article
Closed access
SSStephan Strahl
Stephan Strahl
AHAttila Peter Husar
Attila Peter Husar
JRJordi Riera
Jordi Riera

4 March 2014 in Fuel Cells
Verified
Journal Article
Closed access
PDF file
SSS. Strahl
S. Strahl
AHAttila Peter Husar
Attila Peter Husar
PPP. Puleston
P. Puleston
JRJ. Riera
J. Riera

1 August 2018 in International Journal of Hydrogen Energy
Verified
Journal Article
Open access
RBRaquel Busqué
Raquel Busqué
RTRicardo Torres
Ricardo Torres
JGJoan Grau
Joan Grau
VRVicente Roda
Vicente Roda
AHAttila Peter Husar
Attila Peter Husar

1 July 2017 in International Journal of Hydrogen Energy
Verified
Journal Article
Open access
RBRaquel Busqué
Raquel Busqué
RTRicardo Torres
Ricardo Torres
JGJoan Grau
Joan Grau
VRVicente Roda
Vicente Roda
AHAttila Peter Husar
Attila Peter Husar

1 September 2011 in IEEE Transactions on Energy Conversion
Verified
Journal Article
Closed access
CKCristian Kunusch
Cristian Kunusch
PPPaul F. Puleston
Paul F. Puleston
MMMiguel A. Mayosky
Miguel A. Mayosky
AHAttila Peter Husar
Attila Peter Husar
An experimentally validated control-oriented model that reproduces the most typical features of a laboratory proton exchange membrane fuel cell generation system, is presented in this paper. The proposed representation is a 7th order fully analytical nonlinear model of ordinary differential equations, primarily focused on the system gases dynamics. The complete model is developed following a modular procedure, combining theoretical modeling techniques and empirical analysis based on experimental data. The presented methods can be used as a general modeling guideline for control-oriented purposes, being possible to adapt to other fuel-cell-based systems with similar characteristics.