An optimized fuzzy logic for the energy management of a hybrid electric air-taxi

The goal of this investigation is to model a hybrid electric air-taxi and minimize its fuel consumption by on-line energy management. Urban Air Mobility (UAM) is considered as a suitable way to reduce traffic congestion and pollution as well as increase mobility in metropolitan areas. Urban air-mobi...

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Autores principales:	Donateo Teresa, Terragno Alberto, Ficarella Antonio
Formato:	article
Lenguaje:	EN FR
Publicado:	EDP Sciences 2021
Materias:	Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/cfba0ad060c4466dad44dde683f1cb52
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id	oai:doaj.org-article:cfba0ad060c4466dad44dde683f1cb52
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spelling	oai:doaj.org-article:cfba0ad060c4466dad44dde683f1cb522021-11-08T15:18:51ZAn optimized fuzzy logic for the energy management of a hybrid electric air-taxi2267-124210.1051/e3sconf/202131207004https://doaj.org/article/cfba0ad060c4466dad44dde683f1cb522021-01-01T00:00:00Zhttps://www.e3s-conferences.org/articles/e3sconf/pdf/2021/88/e3sconf_ati2021_07004.pdfhttps://doaj.org/toc/2267-1242The goal of this investigation is to model a hybrid electric air-taxi and minimize its fuel consumption by on-line energy management. Urban Air Mobility (UAM) is considered as a suitable way to reduce traffic congestion and pollution as well as increase mobility in metropolitan areas. Urban air-mobility is an interesting application for electric and hybrid-electric power systems because of limited speed (compared with longer distance commuters) altitudes up to 1000ft and short-range requirements that make possible electrification even with the limited performance of today batteries. However, in case of hybrid electric propulsion systems, the fuel consumption and the environmental impact depends on the energy management. After obtaining reference values of fuel economy over four different missions with the Dynamic programming method, this investigation proposes and optimize a fuzzy logic for the on-line energy management of the hybrid vehicle for UAM in order to minimize fuel consumption and, consequently, local environmental impact.Donateo TeresaTerragno AlbertoFicarella AntonioEDP SciencesarticleEnvironmental sciencesGE1-350ENFRE3S Web of Conferences, Vol 312, p 07004 (2021)
institution	DOAJ
collection	DOAJ
language	EN FR
topic	Environmental sciences GE1-350
spellingShingle	Environmental sciences GE1-350 Donateo Teresa Terragno Alberto Ficarella Antonio An optimized fuzzy logic for the energy management of a hybrid electric air-taxi
description	The goal of this investigation is to model a hybrid electric air-taxi and minimize its fuel consumption by on-line energy management. Urban Air Mobility (UAM) is considered as a suitable way to reduce traffic congestion and pollution as well as increase mobility in metropolitan areas. Urban air-mobility is an interesting application for electric and hybrid-electric power systems because of limited speed (compared with longer distance commuters) altitudes up to 1000ft and short-range requirements that make possible electrification even with the limited performance of today batteries. However, in case of hybrid electric propulsion systems, the fuel consumption and the environmental impact depends on the energy management. After obtaining reference values of fuel economy over four different missions with the Dynamic programming method, this investigation proposes and optimize a fuzzy logic for the on-line energy management of the hybrid vehicle for UAM in order to minimize fuel consumption and, consequently, local environmental impact.
format	article
author	Donateo Teresa Terragno Alberto Ficarella Antonio
author_facet	Donateo Teresa Terragno Alberto Ficarella Antonio
author_sort	Donateo Teresa
title	An optimized fuzzy logic for the energy management of a hybrid electric air-taxi
title_short	An optimized fuzzy logic for the energy management of a hybrid electric air-taxi
title_full	An optimized fuzzy logic for the energy management of a hybrid electric air-taxi
title_fullStr	An optimized fuzzy logic for the energy management of a hybrid electric air-taxi
title_full_unstemmed	An optimized fuzzy logic for the energy management of a hybrid electric air-taxi
title_sort	optimized fuzzy logic for the energy management of a hybrid electric air-taxi
publisher	EDP Sciences
publishDate	2021
url	https://doaj.org/article/cfba0ad060c4466dad44dde683f1cb52
work_keys_str_mv	AT donateoteresa anoptimizedfuzzylogicfortheenergymanagementofahybridelectricairtaxi AT terragnoalberto anoptimizedfuzzylogicfortheenergymanagementofahybridelectricairtaxi AT ficarellaantonio anoptimizedfuzzylogicfortheenergymanagementofahybridelectricairtaxi AT donateoteresa optimizedfuzzylogicfortheenergymanagementofahybridelectricairtaxi AT terragnoalberto optimizedfuzzylogicfortheenergymanagementofahybridelectricairtaxi AT ficarellaantonio optimizedfuzzylogicfortheenergymanagementofahybridelectricairtaxi
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An optimized fuzzy logic for the energy management of a hybrid electric air-taxi

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