Real-Time Energy Management of Parallel Hybrid Electric Vehicles Using Linear Quadratic Regulation - Université de Lille Accéder directement au contenu
Chapitre D'ouvrage Année : 2022

Real-Time Energy Management of Parallel Hybrid Electric Vehicles Using Linear Quadratic Regulation

Résumé

Optimization-based methods are of interest for developing energy management strategies due to their high performance for hybrid electric vehicles. However, these methods are often complicated and may require strong computational efforts, which can prevent them from real-world applications. This paper proposes a novel real-time optimization-based torque distribution strategy for a parallel hybrid truck. The strategy aims to minimize the engine fuel consumption while ensuring battery charge-sustaining by using linear quadratic regulation in a closed-loop control scheme. Furthermore, by reformulating the problem, the obtained strategy does not require the information of the engine efficiency map like the previous works in literature. The obtained strategy is simple, straightforward, and therefore easy to be implemented in real-time platforms. The proposed method is evaluated via simulation by comparison to dynamic programming as a benchmark. Furthermore, the real-time ability of the proposed strategy is experimentally validated by using power hardware-in-the-loop simulation.
Fichier principal
Vignette du fichier
2020_HybridTruck_Proofreading_Final_Ronan.pdf (1.59 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04448197 , version 1 (09-02-2024)

Identifiants

  • HAL Id : hal-04448197 , version 1

Citer

Bảo-Huy Nguyễn, Joao Pedro F. Trovao, Ronan German, Alain Bouscayrol. Real-Time Energy Management of Parallel Hybrid Electric Vehicles Using Linear Quadratic Regulation. Electric Vehicle Efficient Power and Propulsion Systems, Energies MDPI, 2022, 978-3-0365-5291-0. ⟨hal-04448197⟩
2 Consultations
1 Téléchargements

Partager

Gmail Facebook X LinkedIn More