Dynamic Modelling and Fuel Consumption Potential of an Intercooled Regenerative Reheat Gas Turbine Auxiliary Power Unit on Series Hybrid Electric Vehicle

[+] Author and Article Information
Wissam Bou Nader

5 rue Léon Blum Palaiseau, Ile-de-France 91120 France wissam.bou_nader@mines-paristech.fr

Florent Breque

5 rue Léon Blum Palaiseau, ile de france 91120 France florent.breque@mines-paristech.fr

Youssef Mazloum

250 St, Egaila, Kuwait Egaila, Eqaila x Kuwait youssef.mazloum@aum.edu.kw

Clément Dumand

Route de Gisy Vélizy, Ile-de-France 78943 France clement.dumand@mpsa.com

Maroun Nemer

5 Rue Léon Blum Palaiseau, Select State/Province 91120 France maroun.nemer@mines-paristech.fr

1Corresponding author.

Contributed by the Internal Combustion Engine Division of ASME for publication in the Journal of Energy Resources Technology. Manuscript received December 20, 2018; final manuscript received July 16, 2019; published online xx xx, xxxx. Assoc. Editor: Dr. Avinash Kumar Agarwal.

ASME doi:10.1115/1.4044366 History: Received December 20, 2018; Accepted July 19, 2019


Gas turbine systems are among potential energy converters to substitute the internal combustion engine as Auxiliary Power Unit (APU) in series hybrid electric vehicle (SHEV) powertrains. Fuel consumption of these powertrains strongly relies on the energy converter efficiency as well as on the transient operation during start-up phase. This paper presents a dynamic modelling and the fuel consumption calculation of an intercooled regenerative reheat gas turbine (IRReGT) used as APU on SHEV. A SHEV model is developed and a bi-level optimization method is proposed to optimize the powertrain. It consists of coupling the non-dominated sorting genetic algorithm (NSGA) to the dynamic programing (DP) optimal control in order to minimize the fuel consumption and the number of switching On/Off of the APU. Fuel consumption simulations are performed on the worldwide-harmonized light vehicles test cycle while considering the electric and the thermal comfort vehicle energetic needs. Then an IRReGT dynamic model is developed where turbomachinery and heat exchanger components are modeled by taking into account their dynamic inertias. The efficiency, the power, the temperature and the fuel consumption are calculated during transient operation. Then the fuel consumption dynamic simulation results are considered instead of the NSGA-DP results. Two different startups strategies were considered: a constant power startup strategy and a constant fuel strategy. Results show an increase in fuel consumption between 2.4% and 3.8% with the first startup scenario and between 5.7% and 6.4% with the second scenario, compared to static model.

Copyright © 2019 by ASME
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