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OPTIMIZING HYBRID ELECTRIC VEHICLE ENERGY UTILIZATION BASED ON PARTICLE SWARM OPTIMIZATION ALGORITHM

Hybrid electric technology has been adapted in automobiles for over a few decades with the introduction of the Toyota Prius in 1997. The need to shift from conventional vehicles to hybrid vehicles ever since the declaration of peak oil in the world has driven car manufacturers. There are challenges...

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Bibliographic Details
Main Author: Abang Ahmad Latif, Abang Sarbini
Format: Final Year Project Report
Language:English
English
Published: Universiti Malaysia Sarawak, (UNIMAS) 2023
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://ir.unimas.my/id/eprint/43136/2/Abang%20Ahmad%20Latif%2024pgs.pdf
http://ir.unimas.my/id/eprint/43136/5/Abang%20Ahmad%20Latif%20ft.pdf
http://ir.unimas.my/id/eprint/43136/
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spelling my.unimas.ir.431362024-01-11T04:43:39Z http://ir.unimas.my/id/eprint/43136/ OPTIMIZING HYBRID ELECTRIC VEHICLE ENERGY UTILIZATION BASED ON PARTICLE SWARM OPTIMIZATION ALGORITHM Abang Ahmad Latif, Abang Sarbini TA Engineering (General). Civil engineering (General) Hybrid electric technology has been adapted in automobiles for over a few decades with the introduction of the Toyota Prius in 1997. The need to shift from conventional vehicles to hybrid vehicles ever since the declaration of peak oil in the world has driven car manufacturers. There are challenges in designing a vehicle, albeit improving a conventional vehicle to a hybrid electric vehicle (HEV) and achieving the optimal power balance between power sources which are the internal combustion engine (ICE) and the electric motor (EM). The introduction of more recently developed algorithms into energy management strategy (EMS) applications, particularly offline applications such as the one incorporated in this project have accelerated the field of energy management research for HEV. The adaptation of open-sourced simulation was selected for cost-effectiveness and possibilities of modification. The outcome of this project is to maximise the efficiency of a HEV model in MATLAB-Simulink by considering fuel efficiency as the objective function. To evaluate the effectiveness of the proposed EMS, extensive simulations are performed using different drive cycles, considering various input parameters. The findings demonstrate that the proposed controller outperforms the original model in terms of energy utilization. The optimized EMS effectively manages the power flow considering factors such as distance and average engine speed, while ensuring that the battery state does not fall below the minimum threshold. Universiti Malaysia Sarawak, (UNIMAS) 2023 Final Year Project Report NonPeerReviewed text en http://ir.unimas.my/id/eprint/43136/2/Abang%20Ahmad%20Latif%2024pgs.pdf text en http://ir.unimas.my/id/eprint/43136/5/Abang%20Ahmad%20Latif%20ft.pdf Abang Ahmad Latif, Abang Sarbini (2023) OPTIMIZING HYBRID ELECTRIC VEHICLE ENERGY UTILIZATION BASED ON PARTICLE SWARM OPTIMIZATION ALGORITHM. [Final Year Project Report] (Unpublished)
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Abang Ahmad Latif, Abang Sarbini
OPTIMIZING HYBRID ELECTRIC VEHICLE ENERGY UTILIZATION BASED ON PARTICLE SWARM OPTIMIZATION ALGORITHM
description Hybrid electric technology has been adapted in automobiles for over a few decades with the introduction of the Toyota Prius in 1997. The need to shift from conventional vehicles to hybrid vehicles ever since the declaration of peak oil in the world has driven car manufacturers. There are challenges in designing a vehicle, albeit improving a conventional vehicle to a hybrid electric vehicle (HEV) and achieving the optimal power balance between power sources which are the internal combustion engine (ICE) and the electric motor (EM). The introduction of more recently developed algorithms into energy management strategy (EMS) applications, particularly offline applications such as the one incorporated in this project have accelerated the field of energy management research for HEV. The adaptation of open-sourced simulation was selected for cost-effectiveness and possibilities of modification. The outcome of this project is to maximise the efficiency of a HEV model in MATLAB-Simulink by considering fuel efficiency as the objective function. To evaluate the effectiveness of the proposed EMS, extensive simulations are performed using different drive cycles, considering various input parameters. The findings demonstrate that the proposed controller outperforms the original model in terms of energy utilization. The optimized EMS effectively manages the power flow considering factors such as distance and average engine speed, while ensuring that the battery state does not fall below the minimum threshold.
format Final Year Project Report
author Abang Ahmad Latif, Abang Sarbini
author_facet Abang Ahmad Latif, Abang Sarbini
author_sort Abang Ahmad Latif, Abang Sarbini
title OPTIMIZING HYBRID ELECTRIC VEHICLE ENERGY UTILIZATION BASED ON PARTICLE SWARM OPTIMIZATION ALGORITHM
title_short OPTIMIZING HYBRID ELECTRIC VEHICLE ENERGY UTILIZATION BASED ON PARTICLE SWARM OPTIMIZATION ALGORITHM
title_full OPTIMIZING HYBRID ELECTRIC VEHICLE ENERGY UTILIZATION BASED ON PARTICLE SWARM OPTIMIZATION ALGORITHM
title_fullStr OPTIMIZING HYBRID ELECTRIC VEHICLE ENERGY UTILIZATION BASED ON PARTICLE SWARM OPTIMIZATION ALGORITHM
title_full_unstemmed OPTIMIZING HYBRID ELECTRIC VEHICLE ENERGY UTILIZATION BASED ON PARTICLE SWARM OPTIMIZATION ALGORITHM
title_sort optimizing hybrid electric vehicle energy utilization based on particle swarm optimization algorithm
publisher Universiti Malaysia Sarawak, (UNIMAS)
publishDate 2023
url http://ir.unimas.my/id/eprint/43136/2/Abang%20Ahmad%20Latif%2024pgs.pdf
http://ir.unimas.my/id/eprint/43136/5/Abang%20Ahmad%20Latif%20ft.pdf
http://ir.unimas.my/id/eprint/43136/
_version_ 1789430351030910976
score 13.211869

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