DocumentCode
4169
Title
A Robust
-Consumption-Minimization-Based Energy Management Strategy for a Fuel Cell Hybrid Emergency Power System of More Electric Aircraft
Author
Motapon, Souleman Njoya ; Dessaint, Louis-A. ; Al-Haddad, Kamal
Author_Institution
Groupe de Rech. en Electron. de Puisssance et Commande Ind., Univ. du Quebec, Montreal, QC, Canada
Volume
61
Issue
11
fYear
2014
fDate
Nov. 2014
Firstpage
6148
Lastpage
6156
Abstract
This paper presents a new real-time H2-consumption-minimization energy management strategy for a fuel cell hybrid emergency power system of a more electric aircraft (MEA). Compared to existing H2-consumption-minimization strategies based on the equivalent fuel consumption [such as the well-known equivalent consumption minimization strategy (ECMS)], the proposed strategy is less sensitive to the load profile, as the cost function to be optimized does not involve the evaluation of the equivalent fuel consumption, which strongly depends on the whole mission profile. This improves the robustness of the energy management system toward load profile variations, while minimizing the H2 consumption. Using two typical emergency mission profiles of an MEA, the performance of the proposed strategy is compared with the ECMS through simulations and experiments. Moreover, an off-line optimization-based algorithm is developed to ascertain the validity of the proposed strategy in terms of fuel consumption.
Keywords
DC-DC power convertors; aircraft power systems; energy consumption; energy management systems; fuel cells; minimisation; ECMS; MEA; emergency mission profiles; energy management strategy; equivalent consumption minimization strategy; equivalent fuel consumption; fuel cell hybrid emergency power system; load profile variations; more electric aircraft; off-line optimization-based algorithm; robust H2-consumption-minimization; Batteries; Electronic countermeasures; Energy management; Fuel cells; Hybrid power systems; Supercapacitors; System-on-chip; Batteries; dc??dc converters; energy management; fuel cells; hybridization; optimization; supercapacitors;
fLanguage
English
Journal_Title
Industrial Electronics, IEEE Transactions on
Publisher
ieee
ISSN
0278-0046
Type
jour
DOI
10.1109/TIE.2014.2308148
Filename
6748025
Link To Document