2014
DOI: 10.17265/1934-8975/2014.02.018
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Polymer Electrolyte Fuel Cell Stack Modelling in VHDL-AMS Language with Temporal and EIS Experimental Validations

Abstract: This paper deals with two basic issues of fuel cell research: modelling and experimental validation. In particular, the EIS (electrochemical impedance spectroscopy) technique is applied to a PEMFC (proton exchange membrane fuel cell). Experiments have been performed using a low-cost test bench and instrumentation developed around a 1,200 W Ballard Nexa fuel cell system. An electrical and dynamic model in VHDL-AMS language for PEM fuel cell stack is described. The privileged approach in this paper is an electri… Show more

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Cited by 2 publications
(2 citation statements)
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“…[33][34][35][36][37][38][39][40][41][42][43] These models use passive as well as active electrical components that are combined both in series and in parallel and can accurately emulate the voltage produced by PEMFC systems. [33][34][35][36][37][38][39][40][41][42][43] These models use passive as well as active electrical components that are combined both in series and in parallel and can accurately emulate the voltage produced by PEMFC systems.…”
Section: Introductionmentioning
confidence: 99%
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“…[33][34][35][36][37][38][39][40][41][42][43] These models use passive as well as active electrical components that are combined both in series and in parallel and can accurately emulate the voltage produced by PEMFC systems. [33][34][35][36][37][38][39][40][41][42][43] These models use passive as well as active electrical components that are combined both in series and in parallel and can accurately emulate the voltage produced by PEMFC systems.…”
Section: Introductionmentioning
confidence: 99%
“…The second type of PEMFC models includes electricalequivalent models. [33][34][35][36][37][38][39][40][41][42][43] These models use passive as well as active electrical components that are combined both in series and in parallel and can accurately emulate the voltage produced by PEMFC systems. A major drawback of these models is that they do not consider variations in ambient conditions.…”
mentioning
confidence: 99%