Sistema híbrido inteligente para la predicción de la  tensión de una pila de combustible basada en hidrógeno

Casteleiro‐Roca, José‐Luis; Barragán, Antonio Javier; Segura, F.; Calvo-Rolle, José Luís; Andújar, José Manuel

doi:10.4995/riai.2019.10986

Cited by 32 publications

(4 citation statements)

References 51 publications

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“…The internal reactions can be divided into three different types, depending on the part of the cell: the anode, the cathode, and the global result. Equation (1) shows these three chemical reactions [31,32]. The fuel cell type used in this research is a Proton Exchange Membrane Fuel Cell (PEMFC), one of the most efficient technologies.…”

Section: Fuel Cellmentioning

confidence: 99%

Bioinspired Hybrid Model to Predict the Hydrogen Inlet Fuel Cell Flow Change of an Energy Storage System

et al. 2019

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The present research work deals with prediction of hydrogen consumption of a fuel cell in an energy storage system. Due to the fact that these kind of systems have a very nonlinear behaviour, the use of traditional techniques based on parametric models and other more sophisticated techniques such as soft computing methods, seems not to be accurate enough to generate good models of the system under study. Due to that, a hybrid intelligent system, based on clustering and regression techniques, has been developed and implemented to predict the necessary variation of the hydrogen flow consumption to satisfy the variation of demanded power to the fuel cell. In this research, a hybrid intelligent model was created and validated over a dataset from a fuel cell energy storage system. Obtained results validate the proposal, achieving better performance than other well-known classical regression methods, allowing us to predict the hydrogen consumption with a Mean Absolute Error (MAE) of 3.73 with the validation dataset.

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Section: Fuel Cellmentioning

confidence: 99%

Bioinspired Hybrid Model to Predict the Hydrogen Inlet Fuel Cell Flow Change of an Energy Storage System

et al. 2019

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“…En losúltimos años, ha aumentado el interés por el desarrollo de tecnologías energéticas renovables debido al constante crecimiento del consumo global de energía, el cambio climático y el temor al agotamiento de las fuentes de energía basadas en combustibles fósiles. En este contexto, las pilas de combustible de hidrógeno se han establecido como una de las posibles tecnologías para conseguir superar los retos energéticos del futuro (Casteleiro-Roca et al, 2019).…”

Section: Introductionunclassified

Observador de alta ganancia con zona muerta ajustable para estimar la saturación de agua líquida en pilas de combustible tipo PEM

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Costa‐Castelló

2020

Rev. iberoam. autom. inform. ind.

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En el campo de las pilas de combustible PEM, la gestión de agua líquida es una de las problemáticas más importantes que afectan a la eficiencia y vida útil del sistema. Las técnicas de control activo y supervisión del agua se ven limitadas por la ausencia de sensores que puedan medir la saturación de agua líquida en línea. Por eso, en este trabajo se presenta el diseño de un observador de estado para la estimación de la saturación de agua líquida en la capa catalizadora del cátodo de una pila de combustible PEM de cátodo abierto. El observador propuesto se basa en técnicas de alta ganancia. Además, se modifica con una función de zona muerta autoajustable con el fin de reducir su sensibilidad al ruido en la medida. Los resultados se han validado mediante simulación numérica y experimentación. Estos muestran que, en ausencia de ruido, el observador propuesto presenta unas prestaciones similares a las de su equivalente sin zona muerta. Además, en presencia de ruido, la zona muerta disminuye significativamente el error de estimación inducido por este.

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“…This model should be dynamic, nonlinear and valid within a wide operating range, since the stack is a strongly nonlinear process. In the literature, there are many theoretical models, but few are dynamic and experimentally validated [5], [16], [17].…”

Section: Introductionmentioning

confidence: 99%

Design and Experimental Validation of the Temperature Control of a PEMFC Stack by Applying Multiobjective Optimization

et al. 2020

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The current environmental challenges require the implementation of environmentally friendly energy production systems. In this context, proton exchange membrane fuel cell stacks (PEMFC) represent, due to their high electrical efficiency and their low level of CO 2 emissions, a promising alternative technology. However, there are still many technical aspects that need to be improved before they become a commercial reality. One of them is the temperature control of the stack, since its electrical efficiency and its lifetime depend on the performance of this control. In this work, we design a multiloop PID control of the temperature of a PEMFC stack and validate it experimentally. The stack is the prime mover of a micro combined heat and power system (micro-CHP). For this task, we use a previously developed nonlinear model and apply a multiobjective optimization methodology. To assess its performance, the PID control is compared to a second PID control designed with a linearized model. The results show, on the one hand, the importance of having a nonlinear model valid in a wide operation range for the correct design of the temperature control of a PEMFC stack and, on the other hand, the advantages of applying a multiobjective optimization methodology to this problem.

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Sistema híbrido inteligente para la predicción de la tensión de una pila de combustible basada en hidrógeno

Cited by 32 publications

References 51 publications

Bioinspired Hybrid Model to Predict the Hydrogen Inlet Fuel Cell Flow Change of an Energy Storage System

Bioinspired Hybrid Model to Predict the Hydrogen Inlet Fuel Cell Flow Change of an Energy Storage System

Observador de alta ganancia con zona muerta ajustable para estimar la saturación de agua líquida en pilas de combustible tipo PEM

Design and Experimental Validation of the Temperature Control of a PEMFC Stack by Applying Multiobjective Optimization

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