RT Journal Article
T1 Fuel Cell Output Current Prediction with a Hybrid Intelligent System
A1 Casteleiro Roca, José Luis
A1 Barragán Piña, Antonio Javier
A1 Segura Manzano, Francisca
A1 Calvo Rolle, José Luis
A1 Andújar Márquez, José Manuel
AB Afuel cell is a complex system,which produces electricity through an electrochemical reaction. For the formal application of controlstrategies on a fuel cell, it is very important to have a precise dynamic model of it. In this paper, a dynamic model of a real hydrogenfuel cell is obtained to predict its response. The data used in this paper to obtain the model have been acquired from a real fuelcell subjected to different load patterns by means of a programmable electronic load. Using this data, a nonlinear model based on ahybrid intelligent system is obtained. This hybrid model uses artificial neural networks to predict the output current of the fuel cellin a very precise way. The use of a hybrid scheme improves the performance of neural networks reducing to half the mean squarederror obtained for a global model of the fuel cell.
PB Hindawi: Wiley Hindawi Partnership
SN 1076-2787
YR 2019
FD 2019-02
LK http://hdl.handle.net/10272/16430
UL http://hdl.handle.net/10272/16430
LA eng
NO Casteleiro Roca, J. L., Barragán, A. J., Segura, F., Calvo-Rolle, J. L.,  Andújar Márquez, J. M. (2019). Fuel Cell Output Current Prediction with a Hybrid Intelligent System. Complexity, 2019, 1–10. DOI: https://doi.org/10.1155/2019/6317270
NO This work has been funded by the Spanish Ministry of Economy Industry and Competitiveness through the H2SMART-mu GRID (DPI2017-85540-R) project.
DS Repositorio Institucional de la Universidad de Huelva
RD 14 jul 2026