Articles producció científica> Enginyeria Electrònica, Elèctrica i Automàtica

Simplified mathematical model for calculating the oxygen excess ratio of a PEM fuel cell system in real-time applications

  • Identification data

    Identifier: imarina:9285365
    Authors:
    Restrepo CKonjedic TGuarnizo CAvino-Salvado OCalvente JRomero AGiral R
    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 $\lambda-{{\rm O}-{2}}$. The mathematical complexities of the reported methods for obtaining $\lambda-{{\rm O}-{2}}$ 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 $\lambda-{{\rm O}-{2}}$. The usage of such a simplified model requires much less computational power for real-time monitoring of the variable $\lambda-{{\rm O}-{2}}$, 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 $ \lambda-{{\rm O}-{2}}$ 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. © 1982-2012 IEEE.
  • Others:

    Author, as appears in the article.: Restrepo C; Konjedic T; Guarnizo C; Avino-Salvado O; Calvente J; Romero A; Giral R
    Department: Enginyeria Electrònica, Elèctrica i Automàtica
    URV's Author/s: Calvente Calvo, Francisco Javier / Giral Castillon, Roberto / Romero Nevado, Alfonso José
    Keywords: Simplified mathematical model Sampling methods Real-time system Real-time monitoring systems Real-time calculations Real time systems Proton exchange membrane fuel cells (pemfc) Pemfc Oxygen starvation Oxygen Mutual informations Mutual information (mi) Mathematical models Mathematical complexity High sampling frequencies Fuel cells Fuel cell Cost-effective solutions Computerised monitoring Computer simulation
    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 $\lambda-{{\rm O}-{2}}$. The mathematical complexities of the reported methods for obtaining $\lambda-{{\rm O}-{2}}$ 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 $\lambda-{{\rm O}-{2}}$. The usage of such a simplified model requires much less computational power for real-time monitoring of the variable $\lambda-{{\rm O}-{2}}$, 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 $ \lambda-{{\rm O}-{2}}$ 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. © 1982-2012 IEEE.
    Thematic Areas: Interdisciplinar Instruments & instrumentation Engineering, electrical & electronic Engenharias iv Engenharias iii Electrical and electronic engineering Control and systems engineering Computer science applications Ciência da computação Automation & control systems
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: roberto.giral@urv.cat javier.calvente@urv.cat alfonsojose.romero@urv.cat
    Author identifier: 0000-0001-6582-6741 0000-0001-8012-1889 0000-0003-3502-0813
    Record's date: 2024-09-07
    Papper version: info:eu-repo/semantics/acceptedVersion
    Link to the original source: https://ieeexplore.ieee.org/document/6574292
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Ieee Transactions On Industrial Electronics. 61 (6): 2816-2825
    APA: Restrepo C; Konjedic T; Guarnizo C; Avino-Salvado O; Calvente J; Romero A; Giral R (2014). Simplified mathematical model for calculating the oxygen excess ratio of a PEM fuel cell system in real-time applications. Ieee Transactions On Industrial Electronics, 61(6), 2816-2825. DOI: 10.1109/TIE.2013.2276331
    Article's DOI: 10.1109/TIE.2013.2276331
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2014
    Publication Type: Journal Publications
  • Keywords:

    Automation & Control Systems,Computer Science Applications,Control and Systems Engineering,Electrical and Electronic Engineering,Engineering, Electrical & Electronic,Instruments & Instrumentation
    Simplified mathematical model
    Sampling methods
    Real-time system
    Real-time monitoring systems
    Real-time calculations
    Real time systems
    Proton exchange membrane fuel cells (pemfc)
    Pemfc
    Oxygen starvation
    Oxygen
    Mutual informations
    Mutual information (mi)
    Mathematical models
    Mathematical complexity
    High sampling frequencies
    Fuel cells
    Fuel cell
    Cost-effective solutions
    Computerised monitoring
    Computer simulation
    Interdisciplinar
    Instruments & instrumentation
    Engineering, electrical & electronic
    Engenharias iv
    Engenharias iii
    Electrical and electronic engineering
    Control and systems engineering
    Computer science applications
    Ciência da computação
    Automation & control systems
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