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Electric Vehicle Development And Prediction Of Battery Consumption Based On A Journey Profile

The lack of internal combustion engine (ICE) for electric vehicle (EV) makes it solely dependable on battery supply. Due to this, the prediction of battery consumption becomes crucial to determine the accurate driving range before the car needs to be re-charged. The developed prediction model can al...

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Main Authors:	Abdul Karim, Kasrul, Othman, Md Nazri, Wan Hassan, Wan Ahmas Redhauddin, Bugis, Mohd Ismadi, Ramli, Mohd Zulkifli, Abdullah, Abdul Rahim, Jidin , Auzani
Format:	Article
Language:	English
Published:	Trans Tech Publications 2014
Subjects:	T Technology (General) TL Motor vehicles. Aeronautics. Astronautics
Online Access:	http://eprints.utem.edu.my/id/eprint/18100/2/AMM.699.794.pdf http://eprints.utem.edu.my/id/eprint/18100/ https://www.scientific.net/AMM.699.794
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id	my.utem.eprints.18100
record_format	eprints
spelling	my.utem.eprints.181002021-07-18T22:46:24Z http://eprints.utem.edu.my/id/eprint/18100/ Electric Vehicle Development And Prediction Of Battery Consumption Based On A Journey Profile Abdul Karim, Kasrul Othman, Md Nazri Wan Hassan, Wan Ahmas Redhauddin Bugis, Mohd Ismadi Ramli, Mohd Zulkifli Abdullah, Abdul Rahim Jidin , Auzani T Technology (General) TL Motor vehicles. Aeronautics. Astronautics The lack of internal combustion engine (ICE) for electric vehicle (EV) makes it solely dependable on battery supply. Due to this, the prediction of battery consumption becomes crucial to determine the accurate driving range before the car needs to be re-charged. The developed prediction model can also be applied as simulation tool and help in reducing the length and the cost of the EV design process. This paper presents the prediction of battery power requirement for a small re-engineered EV converted from a commercial ICE car by using vehicle dynamic mathematical equations. The prediction is performed based on multiple journey profile that gathered before the actual test. The development of re-engineered EV is also presented, along with the experimental result of an actual drive test on a racing circuit to validate the prediction model. Trans Tech Publications 2014-11 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/18100/2/AMM.699.794.pdf Abdul Karim, Kasrul and Othman, Md Nazri and Wan Hassan, Wan Ahmas Redhauddin and Bugis, Mohd Ismadi and Ramli, Mohd Zulkifli and Abdullah, Abdul Rahim and Jidin , Auzani (2014) Electric Vehicle Development And Prediction Of Battery Consumption Based On A Journey Profile. Applied Mechanics and Materials, 699. pp. 794-799. ISSN 1660-9336 https://www.scientific.net/AMM.699.794 10.4028/www.scientific.net/AMM.699.794
institution	Universiti Teknikal Malaysia Melaka
building	UTEM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknikal Malaysia Melaka
content_source	UTEM Institutional Repository
url_provider	http://eprints.utem.edu.my/
language	English
topic	T Technology (General) TL Motor vehicles. Aeronautics. Astronautics
spellingShingle	T Technology (General) TL Motor vehicles. Aeronautics. Astronautics Abdul Karim, Kasrul Othman, Md Nazri Wan Hassan, Wan Ahmas Redhauddin Bugis, Mohd Ismadi Ramli, Mohd Zulkifli Abdullah, Abdul Rahim Jidin , Auzani Electric Vehicle Development And Prediction Of Battery Consumption Based On A Journey Profile
description	The lack of internal combustion engine (ICE) for electric vehicle (EV) makes it solely dependable on battery supply. Due to this, the prediction of battery consumption becomes crucial to determine the accurate driving range before the car needs to be re-charged. The developed prediction model can also be applied as simulation tool and help in reducing the length and the cost of the EV design process. This paper presents the prediction of battery power requirement for a small re-engineered EV converted from a commercial ICE car by using vehicle dynamic mathematical equations. The prediction is performed based on multiple journey profile that gathered before the actual test. The development of re-engineered EV is also presented, along with the experimental result of an actual drive test on a racing circuit to validate the prediction model.
format	Article
author	Abdul Karim, Kasrul Othman, Md Nazri Wan Hassan, Wan Ahmas Redhauddin Bugis, Mohd Ismadi Ramli, Mohd Zulkifli Abdullah, Abdul Rahim Jidin , Auzani
author_facet	Abdul Karim, Kasrul Othman, Md Nazri Wan Hassan, Wan Ahmas Redhauddin Bugis, Mohd Ismadi Ramli, Mohd Zulkifli Abdullah, Abdul Rahim Jidin , Auzani
author_sort	Abdul Karim, Kasrul
title	Electric Vehicle Development And Prediction Of Battery Consumption Based On A Journey Profile
title_short	Electric Vehicle Development And Prediction Of Battery Consumption Based On A Journey Profile
title_full	Electric Vehicle Development And Prediction Of Battery Consumption Based On A Journey Profile
title_fullStr	Electric Vehicle Development And Prediction Of Battery Consumption Based On A Journey Profile
title_full_unstemmed	Electric Vehicle Development And Prediction Of Battery Consumption Based On A Journey Profile
title_sort	electric vehicle development and prediction of battery consumption based on a journey profile
publisher	Trans Tech Publications
publishDate	2014
url	http://eprints.utem.edu.my/id/eprint/18100/2/AMM.699.794.pdf http://eprints.utem.edu.my/id/eprint/18100/ https://www.scientific.net/AMM.699.794
_version_	1706960903923040256
score	13.211869

Electric Vehicle Development And Prediction Of Battery Consumption Based On A Journey Profile

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