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Predictive Analysis Of Ice, Hybrid And Electric Vehicle: Selected Case Studies

Global warming is one of the most spoken issues around the world today. This is because the global warming has a significant impact on the human and environment. One of the biggest factors that causes global warming is the transportation sector. Internal combustion engine vehicle that runs on gasoli...

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Main Author: Mohd Shafee, Muhammad Amirul Farhan
Format: Monograph
Language:English
Published: Universiti Sains Malaysia 2022
Subjects:
T Technology
TJ Mechanical engineering and machinery
Online Access:http://eprints.usm.my/55655/1/Predictive%20Analysis%20Of%20Ice%2C%20Hybrid%20And%20Electric%20Vehicle%20Selected%20Case%20Studies_Muhammad%20Amirul%20Farhan%20Mohd%20Shafee.pdf
http://eprints.usm.my/55655/
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spelling my.usm.eprints.55655 http://eprints.usm.my/55655/ Predictive Analysis Of Ice, Hybrid And Electric Vehicle: Selected Case Studies Mohd Shafee, Muhammad Amirul Farhan T Technology TJ Mechanical engineering and machinery Global warming is one of the most spoken issues around the world today. This is because the global warming has a significant impact on the human and environment. One of the biggest factors that causes global warming is the transportation sector. Internal combustion engine vehicle that runs on gasoline emits carbon dioxide, hence contributing to the greenhouse gas emission. Therefore, a counter measure needs to be taken to lessen the impact of internal combustion engine through the use of hybrid and electric powertrain. In this study, the carbon footprint for ICEV, PHEV and BEV will be determined through the life-cycle analysis. The models that will be used in this selected case study is BMW 3-Series as it has a wide range of powertrain from ICE to electric. Since all of the vehicles has the same size, same design and manufactured by the same company in the same factory, therefore the difference between each vehicle is negligible. Next, the forecasting of car sales trend for each powertrain can be made through the simulation in MATLAB Simulink. By correlating both of the data for carbon emission and car sales data, the forecasting of carbon footprint for each powertrain in the future can be made. Among 3 scenarios that is made, it is found out that scenario 1 emits the highest CO2 emission at 1.80688 X 10^12 kgCO2, followed by scenario 3 at 1.58632 X 10^12 kgCO2 and the least contributor for CO2 emission is scenario 2 at 4.6252 X 10^11 kgCO2. Universiti Sains Malaysia 2022-07-01 Monograph NonPeerReviewed application/pdf en http://eprints.usm.my/55655/1/Predictive%20Analysis%20Of%20Ice%2C%20Hybrid%20And%20Electric%20Vehicle%20Selected%20Case%20Studies_Muhammad%20Amirul%20Farhan%20Mohd%20Shafee.pdf Mohd Shafee, Muhammad Amirul Farhan (2022) Predictive Analysis Of Ice, Hybrid And Electric Vehicle: Selected Case Studies. Project Report. Universiti Sains Malaysia, Pusat Pengajian Kejuruteraan Mekanikal. (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
TJ Mechanical engineering and machinery
spellingShingle T Technology
TJ Mechanical engineering and machinery
Mohd Shafee, Muhammad Amirul Farhan
Predictive Analysis Of Ice, Hybrid And Electric Vehicle: Selected Case Studies
description Global warming is one of the most spoken issues around the world today. This is because the global warming has a significant impact on the human and environment. One of the biggest factors that causes global warming is the transportation sector. Internal combustion engine vehicle that runs on gasoline emits carbon dioxide, hence contributing to the greenhouse gas emission. Therefore, a counter measure needs to be taken to lessen the impact of internal combustion engine through the use of hybrid and electric powertrain. In this study, the carbon footprint for ICEV, PHEV and BEV will be determined through the life-cycle analysis. The models that will be used in this selected case study is BMW 3-Series as it has a wide range of powertrain from ICE to electric. Since all of the vehicles has the same size, same design and manufactured by the same company in the same factory, therefore the difference between each vehicle is negligible. Next, the forecasting of car sales trend for each powertrain can be made through the simulation in MATLAB Simulink. By correlating both of the data for carbon emission and car sales data, the forecasting of carbon footprint for each powertrain in the future can be made. Among 3 scenarios that is made, it is found out that scenario 1 emits the highest CO2 emission at 1.80688 X 10^12 kgCO2, followed by scenario 3 at 1.58632 X 10^12 kgCO2 and the least contributor for CO2 emission is scenario 2 at 4.6252 X 10^11 kgCO2.
format Monograph
author Mohd Shafee, Muhammad Amirul Farhan
author_facet Mohd Shafee, Muhammad Amirul Farhan
author_sort Mohd Shafee, Muhammad Amirul Farhan
title Predictive Analysis Of Ice, Hybrid And Electric Vehicle: Selected Case Studies
title_short Predictive Analysis Of Ice, Hybrid And Electric Vehicle: Selected Case Studies
title_full Predictive Analysis Of Ice, Hybrid And Electric Vehicle: Selected Case Studies
title_fullStr Predictive Analysis Of Ice, Hybrid And Electric Vehicle: Selected Case Studies
title_full_unstemmed Predictive Analysis Of Ice, Hybrid And Electric Vehicle: Selected Case Studies
title_sort predictive analysis of ice, hybrid and electric vehicle: selected case studies
publisher Universiti Sains Malaysia
publishDate 2022
url http://eprints.usm.my/55655/1/Predictive%20Analysis%20Of%20Ice%2C%20Hybrid%20And%20Electric%20Vehicle%20Selected%20Case%20Studies_Muhammad%20Amirul%20Farhan%20Mohd%20Shafee.pdf
http://eprints.usm.my/55655/
_version_ 1751537256457306112
score 13.211869

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