Adaptive Model Predictive Control-Based Real-Time Energy Management of Fuel Cell Hybrid Electric Vehicles

To compete with battery electric vehicles, fuel cell (FC) hybrid electric vehicles (FCHEVs) are required to offer better performance in fuel economy and FC durability. To this end, this paper proposes a novel real-time adaptive model predictive control (AMPC)-based energy management strategy (EMS) f...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on power electronics 2023-02, Vol.38 (2), p.1-13
Hauptverfasser:	Jia, Chao, Qiao, Wei, Cui, Junwei, Qu, Liyan
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation models Adaptive control Adaptive model predictive control (AMPC) Batteries battery Computational modeling Consumption Dynamic programming Electric vehicles Energy efficiency Energy management energy management strategy (EMS) fuel cell hybrid electric vehicle (FCHEV) Fuel cells Fuel consumption Fuel economy Hardware-in-the-loop simulation Hybrid electric vehicles Hybrid power systems Hybrid systems Mathematical models Model accuracy Onboard equipment Optimization Parameters Performance measurement Prediction models Predictive control Predictive models Quadratic programming Real time Real-time systems
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!