<i>Theory and Modeling of Fuel Cells: Extravaganza to Panacea?</i>

Eikerling, Michael

doi:10.1002/fuce.201690010

Cited by 4 publications

(2 citation statements)

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“…74 However, a gap between these studies and practical electrocatalysts still exists. Theoretical modelling has also made relevant advances, [75][76][77] but some critical issues are still open, for example, how to integrate the effects induced by application of a voltage to the electrocatalysts in the presence of an electrolyte, with related effects of surface-induced reconstructions, modification in the adspecies (type, concentration), mobility of charged species, etc. This understanding would extend the use of electrocatalysis to novel areas, but it would also require developing novel electrode concepts, such as 3D-like electrodes to intensify the process and reduce the costs.…”

Section: Catalysis To Address the Evolving Energy And Chemical Scenariomentioning

confidence: 99%

Grand challenges for catalysis in the Science and Technology Roadmap on Catalysis for Europe: moving ahead for a sustainable future

Lanzafame

Perathoner

Gross

et al. 2017

Catal. Sci. Technol.

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Section: Catalysis To Address the Evolving Energy And Chemical Scenariomentioning

confidence: 99%

Grand challenges for catalysis in the Science and Technology Roadmap on Catalysis for Europe: moving ahead for a sustainable future

Lanzafame

Perathoner

Gross

et al. 2017

Catal. Sci. Technol.

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“…Such performance drifts have made the design of a complete PEMFC model immensely complicated. There exists various PEMFC models capable of dealing with the variations of the operating conditions . These models are by some means convincing, though not perfect, with regard to coping with the operating conditions variations.…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Two Online Identification Algorithms in a Fuel Cell System

et al. 2018

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Output power of a fuel cell (FC) stack can be controlled through operating parameters (current, temperature, etc.) and is impacted by ageing and degradation. However, designing a complete FC model which includes the whole physical phenomena is very difficult owing to its multivariate nature. Hence, online identification of a FC model, which serves as a basis for global energy management of a fuel cell vehicle (FCV), is considerably important. In this paper, two well‐known recursive algorithms are compared for online estimation of a multi‐input semi‐empirical FC model parameters. In this respect, firstly, a semi‐empirical FC model is selected to reach a satisfactory compromise between computational time and physical meaning. Subsequently, the algorithms are explained and implemented to identify the parameters of the model. Finally, experimental results achieved by the algorithms are discussed and their robustness is investigated. The ultimate results of this experimental study indicate that the employed algorithms are highly applicable in coping with the problem of FC output power alteration, due to the uncertainties caused by degradation and operation condition variations, and these results can be utilized for designing a global energy management strategy in a FCV.

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