Intelligent hybrid system for the prediction of the voltage-current characteristic curve of a hydrogen-based fuel cell
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 term...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | Spanish |
| Published: |
Universitat Politècnica de València
2019-09-01
|
| Series: | Revista Iberoamericana de Automática e Informática Industrial RIAI |
| Subjects: | |
| Online Access: | https://polipapers.upv.es/index.php/RIAI/article/view/10986 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846093904781246464 |
|---|---|
| author | José-Luis Casteleiro-Roca Antonio Javier Barragán Francisca Segura José Luis Calvo-Rolle José Manuel Andújar |
| author_facet | José-Luis Casteleiro-Roca Antonio Javier Barragán Francisca Segura José Luis Calvo-Rolle José Manuel Andújar |
| author_sort | José-Luis Casteleiro-Roca |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-2b764d36977e49f6aa93a68d223d7b30 |
| institution | Kabale University |
| issn | 1697-7912 1697-7920 |
| language | Spanish |
| publishDate | 2019-09-01 |
| publisher | Universitat Politècnica de València |
| record_format | Article |
| series | Revista Iberoamericana de Automática e Informática Industrial RIAI |
| spelling | doaj-art-2b764d36977e49f6aa93a68d223d7b302025-01-02T15:57:38ZspaUniversitat Politècnica de ValènciaRevista Iberoamericana de Automática e Informática Industrial RIAI1697-79121697-79202019-09-0116449250110.4995/riai.2019.109867620Intelligent hybrid system for the prediction of the voltage-current characteristic curve of a hydrogen-based fuel cellJosé-Luis Casteleiro-Roca0Antonio Javier Barragán1Francisca Segura2José Luis Calvo-Rolle3José Manuel Andújar4University of A CoruñaUniversidad de HuelvaUniversidad de HuelvaUniversity of A CoruñaUniversidad de HuelvaDue 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.https://polipapers.upv.es/index.php/RIAI/article/view/10986almacenamiento de energíapila de combusiblehidrógenok-meansann |
| spellingShingle | José-Luis Casteleiro-Roca Antonio Javier Barragán Francisca Segura José Luis Calvo-Rolle José Manuel Andújar Intelligent hybrid system for the prediction of the voltage-current characteristic curve of a hydrogen-based fuel cell Revista Iberoamericana de Automática e Informática Industrial RIAI almacenamiento de energía pila de combusible hidrógeno k-means ann |
| title | Intelligent hybrid system for the prediction of the voltage-current characteristic curve of a hydrogen-based fuel cell |
| title_full | Intelligent hybrid system for the prediction of the voltage-current characteristic curve of a hydrogen-based fuel cell |
| title_fullStr | Intelligent hybrid system for the prediction of the voltage-current characteristic curve of a hydrogen-based fuel cell |
| title_full_unstemmed | Intelligent hybrid system for the prediction of the voltage-current characteristic curve of a hydrogen-based fuel cell |
| title_short | Intelligent hybrid system for the prediction of the voltage-current characteristic curve of a hydrogen-based fuel cell |
| title_sort | intelligent hybrid system for the prediction of the voltage current characteristic curve of a hydrogen based fuel cell |
| topic | almacenamiento de energía pila de combusible hidrógeno k-means ann |
| url | https://polipapers.upv.es/index.php/RIAI/article/view/10986 |
| work_keys_str_mv | AT joseluiscasteleiroroca intelligenthybridsystemforthepredictionofthevoltagecurrentcharacteristiccurveofahydrogenbasedfuelcell AT antoniojavierbarragan intelligenthybridsystemforthepredictionofthevoltagecurrentcharacteristiccurveofahydrogenbasedfuelcell AT franciscasegura intelligenthybridsystemforthepredictionofthevoltagecurrentcharacteristiccurveofahydrogenbasedfuelcell AT joseluiscalvorolle intelligenthybridsystemforthepredictionofthevoltagecurrentcharacteristiccurveofahydrogenbasedfuelcell AT josemanuelandujar intelligenthybridsystemforthepredictionofthevoltagecurrentcharacteristiccurveofahydrogenbasedfuelcell |