Repositori institucional URV
| URV's Author/s: | GIRAL CASTILLON, ROBERTO ROMERO NEVADO, ALFONSO JOSÉ Avino-Salvado, O. Guarnizo, C. Konjedic, T. Restrepo, C. CALVENTE CALVO, FRANCISCO JAVIER |
| Author, as appears in the article.: | Giral, R. Romero, A. Avino-Salvado, O. Guarnizo, C. Konjedic, T. Restrepo, C. Calvente, J. |
| Author identifier: | 0000-0001-6582-6741 0000-0003-3502-0813 n/a n/a n/a n/a 0000-0001-8012-1889 |
| Journal publication year: | 2014 |
| Publication Type: | Article |
| ISSN: | 0278-0046 |
| Abstract: | The oxygen starvation phenomenon is a dangerous operating condition that reduces the lifetime of PEM fuel cells. The detection and prevention of this undesired phenomenon require estimation of the oxygen excess ratio λO2. The mathematical complexities of the reported methods for obtaining λO2 complicate its real-time calculation and require high-performance computational devices, which significantly increase the costs of the system. In this paper, a mutual information approach is used in obtaining a simplified mathematical model for the calculation of λO2. The usage of such a simplified model requires much less computational power for real-time monitoring of the variable λO2, while it provides comparable results to those obtained by using the complex model. Therefore, it represents a cost-effective solution, suitable for usage within applications that require high sampling frequencies, like emulators, converter and air compressor control loops, simulations, etc. In order to validate the accuracy of this simplified λO2 calculation model, a real-time monitoring system was built and experimentally tested using both the simplified and complex models. The matching experimental results validate the proposed simplification and justify the use of this simplified model within real-time monitoring applications. |
| Article's DOI: | 10.1109/TIE.2013.2276331 |
| Link to the original source: | https://ieeexplore.ieee.org/document/6574292 |
| Paper version: | info:eu-repo/semantics/acceptedVersion |
| licence for use: | https://creativecommons.org/licenses/by/3.0/es/ |
| Department: | Enginyeria Electrònica |
| Research group: | Grup d'Automàtica i Electrònica Industrial |
| Licence document URL: | https://repositori.urv.cat/ca/proteccio-de-dades/ |
| Thematic Areas: | Electronic engineering |
| Keywords: | sampling methods computerised monitoring PEMFC |
| Entity: | Universitat Rovira i Virgili |
| Record's date: | 2015-11-30 |
| First page: | 2816 |
| Last page: | 2825 |
| Journal volume: | 61 |
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