Titre :

Comparison of Cycle Reduction and Model Reduction Strategies for the Design Optimization of Hybrid Powertrains on Driving Cycles

Auteur(s) :

Kaloun, Adham [Auteur]
Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
VALEO
Brisset, Stephane [Auteur]
Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
Ogier, Maxime [Auteur]
Integrated Optimization with Complex Structure [INOCS]
Ahmed, Mariam [Auteur]
VALEO
Vincent, Robin [Auteur]
VALEO

Titre de la revue :

Energies

Pagination :

948

Éditeur :

MDPI

Date de publication :

2021-02

ISSN :

1996-1073

Mot(s)-clé(s) en anglais :

hybrid electric vehicle
model reduction
optimal control
optimal design
electric machines
Plant/Controller optimization
Cycle reduction

Discipline(s) HAL :

Sciences de l'ingénieur [physics]
Sciences de l'ingénieur [physics]/Energie électrique

Résumé en anglais : [en]

Decision-making is a crucial and difficult step in the design process of complex systems such as the hybrid powertrain. Finding an optimal solution requires the system feedback. This can be, depending on the granularity ...
Lire la suite >Decision-making is a crucial and difficult step in the design process of complex systems such as the hybrid powertrain. Finding an optimal solution requires the system feedback. This can be, depending on the granularity of the models at the component level, highly time-consuming. This is even more true when the system’s performance is determined by its control. In fact, various possibilities can be selected to deliver the required torque to the wheels during a driving cycle. In this work, two different design strategies are proposed to minimize the fuel consumption and the cost of the hybrid powertrain. Both strategies adopt the iterative framework which allows for the separation of the powertrain design problem and its control while leading to system optimality. The first approach is based on model reduction, while the second approach relies on improved cycle reduction techniques. They are then applied to a parallel hybrid vehicle case study, leading to important cost reduction in reasonable delays and are compared using different metrics.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL

Date de dépôt :

2021-11-13T02:33:13Z