Uniformity analysis at MEA and stack Levels for a Nexa PEM fuel cell system

Zhu, Wenxin; Payne, Robert U.; Cahela, Donald R.; Tatarchuk, Bruce J.

doi:10.1016/j.jpowsour.2003.09.074

Cited by 57 publications

(17 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One of the assumptions taken into account in those models, and also many other models found in the literature, is that the individual cell parameters can be lumped together to represent a fuel-cell stack. In contrast to this common assumption, a study reported in [33] revealed considerable differences between the membrane-electrode-assembly voltage levels of ten identical Nexa FCs at the same load and operating temperature. Therefore, E 0 0 is one of the parameters that needs to be estimated by the ES.…”

Section: A Electrical Model Of the Pemfcmentioning

confidence: 81%

Identification of a Proton-Exchange Membrane Fuel Cell’s Model Parameters by Means of an Evolution Strategy

Restrepo

Konjedic

Garcés

et al. 2015

IEEE Trans. Ind. Inf.

View full text Add to dashboard Cite

This paper presents the parameter identification of an equivalent circuit-based proton exchange membrane fuel cell model. The model is represented by two electrical circuits, of which one reproduces the fuel cell's output voltage characteristic and the other one its thermal characteristic. The output voltage model includes activation, concentration, and ohmic losses, which describe the static properties, while the double layer charging effect, delays in fuel and oxygen supply, and other effects provide the model's dynamic properties. In addition, a novel thermal model of the studied Ballard's 1.2 kW Nexa fuel cell is proposed. The latter includes the thermal effects of the stack's fan which significantly improve the model's accuracy. The parameters of both, the electrical and thermal, equivalent circuits were estimated on the basis of experimental data by using an evolution strategy. The resulting parameters were validated by the measurement data obtained from the Nexa module. The comparison indicates a good agreement between the simulation and the experiment. In addition to simulations, the identified model is also suitable for usage in real-time fuel cell emulators. The emulator presented in this paper additionally proves the accuracy of the obtained model and the effectiveness of using an evolution strategy for identification of the fuel cell's parameters.

show abstract

Section: A Electrical Model Of the Pemfcmentioning

confidence: 81%

Identification of a Proton-Exchange Membrane Fuel Cell’s Model Parameters by Means of an Evolution Strategy

Restrepo

Konjedic

Garcés

et al. 2015

IEEE Trans. Ind. Inf.

View full text Add to dashboard Cite

show abstract

“…Thus, it shows great significance to systematically investigate the dynamic behavior during different stages of external load changes, and the relevant influential factors. The present work attempts to experimentally survey the dynamic characteristics and transient responses of PEM fuel cells under various load changes, and determine the relationship of the dynamic behavior and the operating parameters by employing a commercial PEM fuel cell stack of Ballard Nexa module that has been widely used by other research groups for different purposes [33][34][35][36][37]. Furthermore, the fully developed experimental data can be utilized for model validation in R&D work and facilitate establishment of efficient control and management strategies.…”

Section: Introductionmentioning

confidence: 99%

Experimental investigation of dynamic performance and transient responses of a kW-class PEM fuel cell stack under various load changes

et al. 2010

View full text Add to dashboard Cite

“…Some of the faster processes that have been studied experimentally include changes in cathode gas composition upon current steps [6] and over-and undershooting currents upon voltage steps [7][8][9]. A few studies report the dynamic behaviour of PEMFC stacks [10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%