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Azeddine Houari

Researcher at University of Nantes

Publications -  91
Citations -  882

Azeddine Houari is an academic researcher from University of Nantes. The author has contributed to research in topics: Photovoltaic system & Computer science. The author has an hindex of 12, co-authored 71 publications receiving 494 citations. Previous affiliations of Azeddine Houari include École Normale Supérieure & Nancy-Université.

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Flatness-Based Control of Three-Phase Inverter With Output $LC$ Filter

TL;DR: A new control method based on differential flatness control technique is presented, with the possibility to define the behavior of the state variable system in the steady state as well as in transients, and high dynamic properties of the system are obtained.
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A new approach in tracking maximum power under partially shaded conditions with consideration of converter losses

TL;DR: The proposed MPPT algorithm tracks the maximum power with the intention of reducing the total losses including those of converters, and deals with the problems of shadowing for which the power-load characteristic can present two or more local maximums close to each other.
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Optimal parameter estimation strategy of PEM fuel cell using gradient-based optimizer

TL;DR: In this paper, a robust methodology based on the Gradient-based Optimizer (GBO) was proposed to identify the best parameters of PEM fuel cell (PEMFC).
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Efficiency Optimization Through Current-Sharing for Paralleled DC–DC Boost Converters With Parameter Estimation

TL;DR: In this paper, a new current sharing technique on a general case of N paralleled DC-DC boost converters is presented, which is based on the knowledge of individual boost parameters every loss through the structure are modeled by equivalent resistors using an accurate online estimation of those resistors.
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Energy management strategy of Supercapacitor/Fuel Cell energy storage devices for vehicle applications

TL;DR: The key idea of the proposed approach is to incorporate the benefit of the GWO in terms of fast optimization and convergence accuracy, in order to achieve efficient energy sources exploitation and provide the desired driving performances.