A Multi-Stage Energy Management System (MSEMS) is presented in this paper; it aims at optimizing the operating costs of multi-source Hybrid Electric Vehicles (HEVs) supplied by a Fuel Cell (FC), batteries, supercapacitors and the electric grid. In particular, based on a given HEV cost function, the first stage of the proposed MS-EMS is devoted to FC management as its optimization does not depend on the other energy sources. Then, the second stage of MS-EMS splits the residual power demand among the remaining energy sources optimally, by considering their availability and HEV operating constraints. The reference powers of these energy sources are then tracked by the third stage of MS-EMS, which addresses also DC-link voltage regulation needs through a priority-based deadbeat predictive control approach. The effectiveness of the proposed MS-EMS is proved by a simulation study, which regards the comparison with a rule-filter-based EMS.
A Multi-Stage Energy Management System for Multi-Source Hybrid Electric Vehicles
Alessandro Serpi
Primo
;Mario Porru
2019-01-01
Abstract
A Multi-Stage Energy Management System (MSEMS) is presented in this paper; it aims at optimizing the operating costs of multi-source Hybrid Electric Vehicles (HEVs) supplied by a Fuel Cell (FC), batteries, supercapacitors and the electric grid. In particular, based on a given HEV cost function, the first stage of the proposed MS-EMS is devoted to FC management as its optimization does not depend on the other energy sources. Then, the second stage of MS-EMS splits the residual power demand among the remaining energy sources optimally, by considering their availability and HEV operating constraints. The reference powers of these energy sources are then tracked by the third stage of MS-EMS, which addresses also DC-link voltage regulation needs through a priority-based deadbeat predictive control approach. The effectiveness of the proposed MS-EMS is proved by a simulation study, which regards the comparison with a rule-filter-based EMS.File | Dimensione | Formato | |
---|---|---|---|
P94#2019#IECON#FCBTSC#Postprint_Paper.pdf
Solo gestori archivio
Descrizione: Postprint Paper
Tipologia:
versione post-print (AAM)
Dimensione
887.68 kB
Formato
Adobe PDF
|
887.68 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
P93#2019#IECON#FCBTSC#IEEE_Paper.pdf
Solo gestori archivio
Descrizione: IEEE Paper
Tipologia:
versione editoriale (VoR)
Dimensione
937.98 kB
Formato
Adobe PDF
|
937.98 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.