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

  1. Casteleiro-Roca, José-Luis 1
  2. Barragán, Antonio Javier 2
  3. Segura, Francisca 2
  4. Calvo-Rolle, José Luis 1
  5. Andújar, José Manuel 2
  1. 1 Universidade da Coruña

    Universidade da Coruña

    La Coruña, España


  2. 2 Universidad de Huelva

    Universidad de Huelva

    Huelva, España


Revista iberoamericana de automática e informática industrial ( RIAI )

ISSN: 1697-7920

Year of publication: 2019

Volume: 16

Issue: 4

Pages: 492-501

Type: Article

DOI: 10.4995/RIAI.2019.10986 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Revista iberoamericana de automática e informática industrial ( RIAI )


Due to some reasons like sustainability and energy strategy, there is a clear trend using new ways to obtain energy, more efficient and, usually, renewables. In addition, with other dierent objectives, many researchs are being carried out on energy storage systems; one of the most promising, in terms of capacity and mobility, is hydrogen-based. In the present work a model is obtained to predict the dynamic behavior of a hydrogen fuel cell, which will improve its control. The variables used in this research have been extracted from a test bench, where a fuel cell is monitored under several load conditions with a programmable load connected to its output. To perform this model, a hybrid intelligent model was chosen. This kind of models use clustering techniques to divide the data set and, after that, intelligent regression algorithm with artificial neural networks are used for each group. The proposal has been tested with two validation data set, obtaining highly satisfactory results.

Funding information

Los autores de este trabajo quieren agradecer el soporte en materia de financiaci?n del Ministerio de Econom?a, Industria y Competitividad del Gobierno de Espa?a a trav?s del proyecto H2SMART- ?GRID (DPI2017-85540-R).


    • DPI2017-85540-R

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