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Analysis of Energy Storage System Requirements for Aircraft Electric Taxiing Operations

descriptionPublicationkeyboard_double_arrow_right Conference object , Article 01 Oct 2019 Italy Publisher:IEEEJournal:IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics SocietyFunded by:EC | INNOVATIVE

Authors: Lukic, Milos; Giangrande, Paolo; Klumpner, Christian; Galea, Michael;

doi: 10.1109/iecon.2019.8926797

Analysis of Energy Storage System Requirements for Aircraft Electric Taxiing Operations

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Abstract

This paper focuses on evaluating the energy and power requirements of a specific aircraft on-board electric taxiing (ET) system. The developed model of the investigated system is used to determine the requisites for a typical taxiing profile mission of a Boeing 737–400. Besides the derivation of the specifications, the comparison of batteries and electrochemical capacitors is outlined in the light of viable candidates for a local energy storage system (LESS). It is estimated that LESS should be sized for capacity of 19kWh and peak power of 81kW. The paper is concluded with a comparison and discussion on LESS topologies.

Country

Italy

Related Organizations

University of Nottingham
United Kingdom
University of Bergamo
Italy
University of Nottingham Ningbo China
China (People's Republic of)
Nottingham Trent University
United Kingdom
University of Nottingham Ningbo China
China (People's Republic of)

Keywords

Energy Storage, Modelling, Electric taxiing, Batteries, Supercapacitors, Settore ING-IND/32 - Convertitori, Macchine e Azionamenti Elettrici, Electric taxiing; Modelling; Energy Storage; Batteries; Supercapacitors;

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	3
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average