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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Format: | Research Report |
Language: | English |
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2018
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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. |
first_indexed | 2024-03-06T13:02:57Z |
format | Research Report |
id | UMPir36365 |
institution | Universiti Malaysia Pahang |
language | English |
last_indexed | 2024-03-06T13:02:57Z |
publishDate | 2018 |
record_format | dspace |
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 |
work_keys_str_mv | AT khoraichia intelligentenergymanagementsystemofserieshybridelectricvehiclehev AT saifulhakimchemoodmahyiddin intelligentenergymanagementsystemofserieshybridelectricvehiclehev AT mohamedmohdrusllim intelligentenergymanagementsystemofserieshybridelectricvehiclehev |