Energy management system in fuel cell electric vehicle using fuzzy logic controller

In response to the environmental degradation and the climate change impact, the global concerns are now rising towards the alternative source of fuel and carbon emission issues. In the transportation sector, Electric and hybrid vehicles are having the encouraged interest globally, since they are vie...

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Main Author:	Jatu, Gabriel
Format:	Thesis
Language:	English
Published:	2019
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/84036/1/GabrielJatuMSKE2019.pdf
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id	my-utm-ep.84036
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spelling	my-utm-ep.840362019-11-05T04:35:56Z Energy management system in fuel cell electric vehicle using fuzzy logic controller 2019-01 Jatu, Gabriel TK Electrical engineering. Electronics Nuclear engineering In response to the environmental degradation and the climate change impact, the global concerns are now rising towards the alternative source of fuel and carbon emission issues. In the transportation sector, Electric and hybrid vehicles are having the encouraged interest globally, since they are viewed as the most promising alternatives for pollution abatement and carbon emission reduction. This will open the window for the alternative to the reduction of conventional fossil-based fuel usage. Proton Exchange Membrane Fuel Cell (PEMFC) Electric Vehicles (FCEV) are among the options of the kind due to better environment and performance prospects offered compared to the internal combustion engine vehicles (ICEV). However, the Fuel Cells (FC) need to be hybridized with energy storage source to improve the dynamics and power density of the FC systems. Using two sources of power require an intelligent energy management strategy since the FC health and battery state-of-charge (SOC) shall be maintained at optimum level. The energy management control of FCEV is currently an increasing research area in the EV technology development. The goal of this work is to propose an intelligent energy management strategy in controlling the FC’s power output, thus maintain the optimum SOC level in a FCEV. A Fuzzy Logic Controller (FLC) is developed in this work. FLC is appropriate for power distribution in FCEV, as it is independent against the technical aspect of FCEV system. A FCEV model is developed, and simulation is implemented in the MATLAB/Simulink environment. A Proportional-Integral (PI) controller technique is also developed, as a comparison to the proposed FLC validity and performance. By adopting Fuzzy Logic Controller, the optimum performance of FCEV is obtained. Consequently, the FC durability and battery lifetime can be enhanced. 2019-01 Thesis http://eprints.utm.my/id/eprint/84036/ http://eprints.utm.my/id/eprint/84036/1/GabrielJatuMSKE2019.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:126561 masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Jatu, Gabriel Energy management system in fuel cell electric vehicle using fuzzy logic controller
description	In response to the environmental degradation and the climate change impact, the global concerns are now rising towards the alternative source of fuel and carbon emission issues. In the transportation sector, Electric and hybrid vehicles are having the encouraged interest globally, since they are viewed as the most promising alternatives for pollution abatement and carbon emission reduction. This will open the window for the alternative to the reduction of conventional fossil-based fuel usage. Proton Exchange Membrane Fuel Cell (PEMFC) Electric Vehicles (FCEV) are among the options of the kind due to better environment and performance prospects offered compared to the internal combustion engine vehicles (ICEV). However, the Fuel Cells (FC) need to be hybridized with energy storage source to improve the dynamics and power density of the FC systems. Using two sources of power require an intelligent energy management strategy since the FC health and battery state-of-charge (SOC) shall be maintained at optimum level. The energy management control of FCEV is currently an increasing research area in the EV technology development. The goal of this work is to propose an intelligent energy management strategy in controlling the FC’s power output, thus maintain the optimum SOC level in a FCEV. A Fuzzy Logic Controller (FLC) is developed in this work. FLC is appropriate for power distribution in FCEV, as it is independent against the technical aspect of FCEV system. A FCEV model is developed, and simulation is implemented in the MATLAB/Simulink environment. A Proportional-Integral (PI) controller technique is also developed, as a comparison to the proposed FLC validity and performance. By adopting Fuzzy Logic Controller, the optimum performance of FCEV is obtained. Consequently, the FC durability and battery lifetime can be enhanced.
format	Thesis
qualification_level	Master's degree
author	Jatu, Gabriel
author_facet	Jatu, Gabriel
author_sort	Jatu, Gabriel
title	Energy management system in fuel cell electric vehicle using fuzzy logic controller
title_short	Energy management system in fuel cell electric vehicle using fuzzy logic controller
title_full	Energy management system in fuel cell electric vehicle using fuzzy logic controller
title_fullStr	Energy management system in fuel cell electric vehicle using fuzzy logic controller
title_full_unstemmed	Energy management system in fuel cell electric vehicle using fuzzy logic controller
title_sort	energy management system in fuel cell electric vehicle using fuzzy logic controller
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2019
url	http://eprints.utm.my/id/eprint/84036/1/GabrielJatuMSKE2019.pdf
_version_	1747818429744676864

Energy management system in fuel cell electric vehicle using fuzzy logic controller

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