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DOI: 10.14569/IJACSA.2017.080135
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Design, Modeling and Energy Management of a PEM Fuel Cell / Supercapacitor Hybrid Vehicle

Author 1: Wahib Andari
Author 2: Samir Ghozzi
Author 3: Hatem Allagui
Author 4: Abdelkader Mami

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 1, 2017.

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Abstract: This work concerns the study and the modeling of hybrid Proton Exchange Membrane (PEM) Fuel Cell electric vehicle. In fact, the paper deals with the model description of the powertrain which includes two energy sources: a PEM Fuel Cell as a primary source and a supercapacitor as a secondary source. The architecture is two degrees of freedom permitting a stability of the DC bus voltage. The hybridation of primary source with an energy storage system can improve vehicle dynamic response during transients and hydrogen consumption. The proposed energy management algorithm allows us to have a minimum hydrogen consumption. This algorithm is based on supercapacitor state of charge (SOC) control and acceleration/deceleration phases making possible braking energy recovery. The proposed model is simulated and tested using Matlab/Simulink software allowing rapid transitions between sources. The obtained results with the New European Driving Cycle (NEDC) cycle demonstrate a 22% gain in hydrogen consumption.

Keywords: PEM Fuel Cell; Powertrain; Electric vehicle; Supercapacitor; Energy management; Power system; hydrogen gain

Wahib Andari, Samir Ghozzi, Hatem Allagui and Abdelkader Mami, “Design, Modeling and Energy Management of a PEM Fuel Cell / Supercapacitor Hybrid Vehicle” International Journal of Advanced Computer Science and Applications(IJACSA), 8(1), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080135

@article{Andari2017,
title = {Design, Modeling and Energy Management of a PEM Fuel Cell / Supercapacitor Hybrid Vehicle},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080135},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080135},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {1},
author = {Wahib Andari and Samir Ghozzi and Hatem Allagui and Abdelkader Mami}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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