Dimensionnement multi-physique des véhicules hybrides, de leurs composants et de la commande du système

Abstract : Road transportation has a huge impact on the environment. Hybrid electric vehicles (HEV) are an interesting alternative, especially for urban uses. However, HEV are complex systems to design because of the strong interaction between the component sizing, the energy management and the driving cycle. V. Reinbold previously developed a sizing methodology for HEV. The components and the energy management are simultaneously optimized to reduce the fuel consumption of the vehicle over a driving cycle. A specific electromagnetic model is used during the optimization process to describe accurately the electrical machine. As a continuation, we introduce firstly the possibility to deal with a discrete variable : the pole number of the electrical machine. Then, we develop a thermal model of the machine considering the convection exchanges around the end-windings. This analytical lumped parameter thermal network is used during the optimization process after being validated thanks to a finite element model. Uncertainty and sensitivity analysis are used to check the influence of some of the thermal parameters. Finally, the sizing methodology is applied to a series/parallel HEV including two electrical machines.
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Mathias Le Guyadec. Dimensionnement multi-physique des véhicules hybrides, de leurs composants et de la commande du système. Sciences de l'ingénieur [physics]. Université Grenoble Alpes, 2018. Français. ⟨tel-01891162v1⟩

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