Journal Articles

Permanent URI for this collectionhttps://dspace.univ-soukahras.dz/handle/123456789/229

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Author: search.filters.author.Lakhdar KhochemaneHas files: Yes

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    Determination of the predictive Reliability for PEMFC system
    (IPCO, 2015) Nedjem Eddine Benchouia; Lakhdar Khochemane; Belgacem Madi
    Today reliability is one of the serious requirements of fuel cell systems, and their associated cost in all applications, in general, and automotive applications, in particular when the power requirement is scaled up, is still unclear. Therefore, increasing cell lifetimes and membrane electrode assembly (MEA) durability is the technical advance that may be expected so that we can have a remarkable tendency of decreasing fuel cell costs with a significant increase in global systems safety, that best meet customer requirements. Our contribution, in this paper, focuses on the simulation method of the “Monte Carlo” over the entire reliability calculation for the PEMFC system, with the integration of the most critical elements of them and the proposition of the contrivances for their modifications, in the objective to predict the lifetime and failure rate of a system by reliability calculations: a problem formulation is given, reliability calculations of PEMFC are defined and a reliability estimation methodology is developed. We did obtain, however, some results that can help us in the prediction reliability way at the design
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    Analysis and Characterization of PEMFC Power Systems with Bond Graph
    (2013-11) Nedjem Eddine Benchouia; Elias Hadjadj Aoual; Lakhdar Khochemane; Bouziane.Mahmah
    This paper addresses the problem of bond graph methodology as a graphical approach for modeling fuel cell systems. The system consists of a Proton Exchange Membrane Fuel Cell (PEMFC) stack and an interleaved boost converter. Simulation results illustrate the simplified system response obtained using the implementation of the governing equations in MATLAB/Simulink or a bond graph
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    An adaptive fuzzy logic controller (AFLC) for PEMFC fuel cell
    (www.elsevier.com/locate/he, 2015) Nedjem-Eddine Benchouia; Abdallah Derghal; Bouziane Mahmah; Belgacem Madi; Lakhdar Khochemane; Elias Hadjadj Aoul
    Among the various fuel cell technologies available for use in vehicular systems, the Proton Exchange Membrane Fuel Cell (PEMFC) has drawn the most attention due to its simplicity, viability, higher power density, and operation at lower temperatures. Due to these features, PEMFC is considered to be the most suitable technology for vehicular systems, industry, and other applications. As fuel cells are likely to be used in many future applications, great efforts have recently been made for their comprehension and design. This paper focuses on a 1.2WPEM fuel cell unit and develops the models of stack voltage and stack power. While the PEM fuel cell is a nonlinear process, it is very suitable to use fuzzy control to solve the control issue of the fuel cell. The stack output power can be controlled to a given value by using a variable universe fuzzy controller by controlling the input gas flow rate. In this paper, an FLC controller has been designed to control the voltage in the presence of fluctuations. The results of the implementation of this designed FLC controller on a dynamic electrochemical model of a small size 1.2 W, PEM fuel cell have been simulated by MATLAB Simulink and compared with a traditional PID controller. Simulation results show that good control effects can be achieved by using the adaptive fuzzy control system.
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    Bond graph modeling approach development for fuel cell PEMFC systems
    (www.elsevier.com/locate/he, 2014-09-14) Nedjem Eddine Benchouia; Elias Hadjadj Aoul; Lakhdar Khochemane; Bouziane Mahmah
    This paper addresses the problem of bond graph methodology as a graphical approach for modeling fuel cell systems. The system consists of a Proton Exchange Membrane Fuel Cell (PEMFC) stack, an interleaved boost converter, battery pack connected via a buck converter. Simulation results illustrate the simplified system response obtained using implementation of the governing equations in MATLAB/Simulink and is compared with a bond graph implementation in the simulation program 20-sim.