Multiphysics modeling and optimization of the driving strategy of a light duty fuel cell vehicle - Archive ouverte HAL
Article Dans Une Revue International Journal of Hydrogen Energy Année : 2017

Multiphysics modeling and optimization of the driving strategy of a light duty fuel cell vehicle

Résumé

This paper presents the optimization of the driving strategy of a high efficiency fuel cell based power train. This power train is developed to equip a light duty urban-concept vehicle that runs energetic races. The objective is to go the furthest with the lowest quantity of fuel. A comprehensive dynamical model is presented, including the mechanical requirement, the thermal behavior of the fuel cell stack and the various losses and consumptions of the power train devices. This model is next integrated into a global optimization algorithm, to determine the best race strategy to be adopted. These results are validated on experimental measurements, obtained during a real race at the Shell Eco-Marathon, in 2015.
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Dates et versions

hal-04019002 , version 1 (02-04-2024)
hal-04019002 , version 2 (02-04-2024)

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Domaine public

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Jean-Christophe Olivier, Guillaume Wasselynck, Stéphane Chevalier, Bruno Auvity, Christophe Josset, et al.. Multiphysics modeling and optimization of the driving strategy of a light duty fuel cell vehicle. International Journal of Hydrogen Energy, 2017, 42 (43), pp.26943-26955. ⟨10.1016/j.ijhydene.2017.06.243⟩. ⟨hal-04019002v1⟩
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