Exergo-technological explicit methodology for gas-turbine system optimization for series hybrid electric vehicles

Abstract : Significant research efforts have been invested in the automotive industry on hybrid-electrified powertrains in order to reduce the passenger cars’ dependence on oil. Powertrains electrification resulted in a wide range of hybrid vehicle architectures. Fuel consumption of these powertrains strongly relies on the energy converter performance, as well as on the energy management strategy deployed on-board. This paper investigates the potential of fuel consumption savings of a series hybrid electric vehicle (SHEV) using a gas turbine (GT) as energy converter instead of the conventional internal combustion engine (ICE). An exergo-technological explicit analysis is conducted to identify the best GT-system configuration. An intercooled regenerative reheat cycle is prioritized, offering higher efficiency and power density compared to other investigated GT-systems. A SHEV model is developed and powertrain components are sized considering vehicle performance criteria. Energy consumption simulations are performed on the worldwide-harmonized light vehicles test procedure (WLTP) driving cycle using dynamic programing as global optimal energy management strategy. A sensitivity analysis is also carried out in order to evaluate the impact of the battery size on the fuel consumption, for self-sustaining and plug-in hybrid SHEV configurations. Results show 22% to 25% improved fuel consumption with GT as auxiliary power unit (APU) compared to ICE. Consequently, the studied GT-APU presents a potential for implementation on SHEVs.
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Article dans une revue
Proceedings of the institution of mechanical engineers, Part D : Journal of automobile engineering, 2017
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https://hal-mines-paristech.archives-ouvertes.fr/hal-01562116
Contributeur : Wissam Bou Nader <>
Soumis le : jeudi 13 juillet 2017 - 15:59:43
Dernière modification le : vendredi 14 juillet 2017 - 01:12:30

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  • HAL Id : hal-01562116, version 1

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Wissam Bou Nader, Charbel Mansour, Olivier Guézet, Maroun Nemer. Exergo-technological explicit methodology for gas-turbine system optimization for series hybrid electric vehicles. Proceedings of the institution of mechanical engineers, Part D : Journal of automobile engineering, 2017. <hal-01562116>

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