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On The Demand Of Electric Vehicles In Malaysia And Its Potential, Statistical Analysis

Electric vehicles exist since the early 20th century, however only around 5% of current vehicles globally are powered by an electric drivetrain or a hybrid of an electric drivetrain. Vehicles which uses internal combustion engines (ICE) are deemed outdated; they have low efficiency, consume a lot of...

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Main Author: Suhaimi, Saiful Anwar
Format: Monograph
Language:English
Published: Universiti Sains Malaysia 2021
Subjects:
T Technology
TJ1-1570 Mechanical engineering and machinery
Online Access:http://eprints.usm.my/56027/1/On%20The%20Demand%20Of%20Electric%20Vehicles%20In%20Malaysia%20And%20Its%20Potential%2C%20Statistical%20Analysis.pdf
http://eprints.usm.my/56027/
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spelling my.usm.eprints.56027 http://eprints.usm.my/56027/ On The Demand Of Electric Vehicles In Malaysia And Its Potential, Statistical Analysis Suhaimi, Saiful Anwar T Technology TJ1-1570 Mechanical engineering and machinery Electric vehicles exist since the early 20th century, however only around 5% of current vehicles globally are powered by an electric drivetrain or a hybrid of an electric drivetrain. Vehicles which uses internal combustion engines (ICE) are deemed outdated; they have low efficiency, consume a lot of fuel and produce harmful emissions. However, the general population still prefer ICE vehicles because they are more accessible, generally cheaper and the electric vehicle infrastructure is very primitive which means that they are still inaccessible to the majority of the general population. Limited EV infrastructures such as charging stations are one of the main reasons why EVs are not the main transportation system in our society today. Therefore, this study aims to mainly determine the demand and potential of electric vehicles in the global market. This study will further expand upon the advantages as well as disadvantages of electric vehicles in comparison to vehicles using internal combustion engines. This study will be compiling data from various governmental bodies, both international and local, this study aims to predict the growth of the electric vehicle sector in the near future. Moreover this study also aims to properly determine the emmissions that will be removed if the general population start to transition into using electric vehicles. Using an external simulation software such as Simulink, this study is able to create a predictive model that maps out the electric vehicle stock and sales, as well as oil displacement and CO2 emission equivalence in lieu of using electric vehicles as to using internal combustion engines. Universiti Sains Malaysia 2021-06-01 Monograph NonPeerReviewed application/pdf en http://eprints.usm.my/56027/1/On%20The%20Demand%20Of%20Electric%20Vehicles%20In%20Malaysia%20And%20Its%20Potential%2C%20Statistical%20Analysis.pdf Suhaimi, Saiful Anwar (2021) On The Demand Of Electric Vehicles In Malaysia And Its Potential, Statistical Analysis. Project Report. Universiti Sains Malaysia, Pusat Pengajian Kejuruteraan Mekanik. (Submitted)
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic T Technology
TJ1-1570 Mechanical engineering and machinery
spellingShingle T Technology
TJ1-1570 Mechanical engineering and machinery
Suhaimi, Saiful Anwar
On The Demand Of Electric Vehicles In Malaysia And Its Potential, Statistical Analysis
description Electric vehicles exist since the early 20th century, however only around 5% of current vehicles globally are powered by an electric drivetrain or a hybrid of an electric drivetrain. Vehicles which uses internal combustion engines (ICE) are deemed outdated; they have low efficiency, consume a lot of fuel and produce harmful emissions. However, the general population still prefer ICE vehicles because they are more accessible, generally cheaper and the electric vehicle infrastructure is very primitive which means that they are still inaccessible to the majority of the general population. Limited EV infrastructures such as charging stations are one of the main reasons why EVs are not the main transportation system in our society today. Therefore, this study aims to mainly determine the demand and potential of electric vehicles in the global market. This study will further expand upon the advantages as well as disadvantages of electric vehicles in comparison to vehicles using internal combustion engines. This study will be compiling data from various governmental bodies, both international and local, this study aims to predict the growth of the electric vehicle sector in the near future. Moreover this study also aims to properly determine the emmissions that will be removed if the general population start to transition into using electric vehicles. Using an external simulation software such as Simulink, this study is able to create a predictive model that maps out the electric vehicle stock and sales, as well as oil displacement and CO2 emission equivalence in lieu of using electric vehicles as to using internal combustion engines.
format Monograph
author Suhaimi, Saiful Anwar
author_facet Suhaimi, Saiful Anwar
author_sort Suhaimi, Saiful Anwar
title On The Demand Of Electric Vehicles In Malaysia And Its Potential, Statistical Analysis
title_short On The Demand Of Electric Vehicles In Malaysia And Its Potential, Statistical Analysis
title_full On The Demand Of Electric Vehicles In Malaysia And Its Potential, Statistical Analysis
title_fullStr On The Demand Of Electric Vehicles In Malaysia And Its Potential, Statistical Analysis
title_full_unstemmed On The Demand Of Electric Vehicles In Malaysia And Its Potential, Statistical Analysis
title_sort on the demand of electric vehicles in malaysia and its potential, statistical analysis
publisher Universiti Sains Malaysia
publishDate 2021
url http://eprints.usm.my/56027/1/On%20The%20Demand%20Of%20Electric%20Vehicles%20In%20Malaysia%20And%20Its%20Potential%2C%20Statistical%20Analysis.pdf
http://eprints.usm.my/56027/
_version_ 1753789228886523904
score 13.211869

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