Intelligent energy management system of series hybrid electric vehicle (HEV)

Regardless of chosen/preferred configurations, energy management system has become a vital functionality for hybrid electric vehicles (HEVs) to operate at an optimum or quasi-optimum to conserve energy with no impact on system performance. This study presents a design and testing through software an...

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Main Authors: Khor, Ai Chia, Saiful Hakim, Che Mood @Mahyiddin, Mohamed, Mohd Rusllim
Format: Research Report
Language:English
Published: 2018
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/36365/1/Intelligent%20energy%20management%20system%20of%20series%20hybrid%20electric%20vehicle%20%28HEV%29.wm.pdf
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author Khor, Ai Chia
Saiful Hakim, Che Mood @Mahyiddin
Mohamed, Mohd Rusllim
author_facet Khor, Ai Chia
Saiful Hakim, Che Mood @Mahyiddin
Mohamed, Mohd Rusllim
author_sort Khor, Ai Chia
collection UMP
description Regardless of chosen/preferred configurations, energy management system has become a vital functionality for hybrid electric vehicles (HEVs) to operate at an optimum or quasi-optimum to conserve energy with no impact on system performance. This study presents a design and testing through software and hardware simulation of a fuzzy logic energy management system for series hybrid electric vehicle. Fuzzy logic rule-based controller is used to manage the propulsion and power split between the engine, generator and energy storage depending on the vehicle energy demand. The system is capable to demonstrate the performance of a series hybrid electric vehicle under difference condition of operation with respect to speed and state of charge (SOC) for the battery pack.
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spelling UMPir363652023-02-20T02:15:34Z http://umpir.ump.edu.my/id/eprint/36365/ Intelligent energy management system of series hybrid electric vehicle (HEV) Khor, Ai Chia Saiful Hakim, Che Mood @Mahyiddin Mohamed, Mohd Rusllim TK Electrical engineering. Electronics Nuclear engineering Regardless of chosen/preferred configurations, energy management system has become a vital functionality for hybrid electric vehicles (HEVs) to operate at an optimum or quasi-optimum to conserve energy with no impact on system performance. This study presents a design and testing through software and hardware simulation of a fuzzy logic energy management system for series hybrid electric vehicle. Fuzzy logic rule-based controller is used to manage the propulsion and power split between the engine, generator and energy storage depending on the vehicle energy demand. The system is capable to demonstrate the performance of a series hybrid electric vehicle under difference condition of operation with respect to speed and state of charge (SOC) for the battery pack. 2018-06 Research Report NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/36365/1/Intelligent%20energy%20management%20system%20of%20series%20hybrid%20electric%20vehicle%20%28HEV%29.wm.pdf Khor, Ai Chia and Saiful Hakim, Che Mood @Mahyiddin and Mohamed, Mohd Rusllim (2018) Intelligent energy management system of series hybrid electric vehicle (HEV). , [Research Report: Research Report] (Unpublished)
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Khor, Ai Chia
Saiful Hakim, Che Mood @Mahyiddin
Mohamed, Mohd Rusllim
Intelligent energy management system of series hybrid electric vehicle (HEV)
title Intelligent energy management system of series hybrid electric vehicle (HEV)
title_full Intelligent energy management system of series hybrid electric vehicle (HEV)
title_fullStr Intelligent energy management system of series hybrid electric vehicle (HEV)
title_full_unstemmed Intelligent energy management system of series hybrid electric vehicle (HEV)
title_short Intelligent energy management system of series hybrid electric vehicle (HEV)
title_sort intelligent energy management system of series hybrid electric vehicle hev
topic TK Electrical engineering. Electronics Nuclear engineering
url http://umpir.ump.edu.my/id/eprint/36365/1/Intelligent%20energy%20management%20system%20of%20series%20hybrid%20electric%20vehicle%20%28HEV%29.wm.pdf
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