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.
2019
978-1-7281-4878-6
Batteries; Cost function; Deadbeat control; Energy management; Fuel cells; Hybrid electric vehicles; Hybrid energy storage systems; Optimization; Supercapacitors
File in questo prodotto:
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.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/279210
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 6
  • ???jsp.display-item.citation.isi??? 6
social impact