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Electric vehicle energy consumption modelling and analysis: a Malaysia case study

Previously, the Electric vehicle (EV) range anxiety greatly hindered EV adoption. The fear of being stranded due to running out of battery becomes the main concern among EV drivers. This critical issue can be solved by deploying a bigger battery in EVs. However, deploying bigger size battery contrib...

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Main Authors: Hashim M.S., Mansor M., Ying Y.J., Ramachandaramurthy V.K., Rahman N.A.
Other Authors: 57216688148
Format: Conference Paper
Published: Institute of Physics 2024
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spelling my.uniten.dspace-344712024-10-14T11:20:00Z Electric vehicle energy consumption modelling and analysis: a Malaysia case study Hashim M.S. Mansor M. Ying Y.J. Ramachandaramurthy V.K. Rahman N.A. 57216688148 6701749037 58179118600 6602912020 9338388000 Previously, the Electric vehicle (EV) range anxiety greatly hindered EV adoption. The fear of being stranded due to running out of battery becomes the main concern among EV drivers. This critical issue can be solved by deploying a bigger battery in EVs. However, deploying bigger size battery contributes to the higher price of the EV itself. Hence, the optimal design of the EV powertrain is a critical factor in ensuring EV meets the users' needs and, simultaneously, can be owned by the potential owners at an affordable price. Accurate assessment of EV energy consumption is crucial in designing an optimal EV powertrain, particularly for developing energy-efficient driving techniques in both manual and autonomous driving. One method is to perform a real-life experiment to determine the EV energy consumption, which is expensive and time-consuming. An alternative to real-world testing is creating an EV energy consumption model with the existing driving cycles. This paper studies the parameters contributing to EV energy consumption based on EV driving cycles available in MATLAB Simulink. The findings of this study will provide insight into the factors that influence EV energy consumption and serve as a guideline in EV powertrain design. � 2023 Institute of Physics Publishing. All rights reserved. Final 2024-10-14T03:20:00Z 2024-10-14T03:20:00Z 2023 Conference Paper 10.1088/1755-1315/1281/1/012072 2-s2.0-85182356389 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182356389&doi=10.1088%2f1755-1315%2f1281%2f1%2f012072&partnerID=40&md5=aa4775ac51dcd1ff25260242fc8e75b6 https://irepository.uniten.edu.my/handle/123456789/34471 1281 1 12072 All Open Access Gold Open Access Institute of Physics Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Previously, the Electric vehicle (EV) range anxiety greatly hindered EV adoption. The fear of being stranded due to running out of battery becomes the main concern among EV drivers. This critical issue can be solved by deploying a bigger battery in EVs. However, deploying bigger size battery contributes to the higher price of the EV itself. Hence, the optimal design of the EV powertrain is a critical factor in ensuring EV meets the users' needs and, simultaneously, can be owned by the potential owners at an affordable price. Accurate assessment of EV energy consumption is crucial in designing an optimal EV powertrain, particularly for developing energy-efficient driving techniques in both manual and autonomous driving. One method is to perform a real-life experiment to determine the EV energy consumption, which is expensive and time-consuming. An alternative to real-world testing is creating an EV energy consumption model with the existing driving cycles. This paper studies the parameters contributing to EV energy consumption based on EV driving cycles available in MATLAB Simulink. The findings of this study will provide insight into the factors that influence EV energy consumption and serve as a guideline in EV powertrain design. � 2023 Institute of Physics Publishing. All rights reserved.
author2 57216688148
author_facet 57216688148
Hashim M.S.
Mansor M.
Ying Y.J.
Ramachandaramurthy V.K.
Rahman N.A.
format Conference Paper
author Hashim M.S.
Mansor M.
Ying Y.J.
Ramachandaramurthy V.K.
Rahman N.A.
spellingShingle Hashim M.S.
Mansor M.
Ying Y.J.
Ramachandaramurthy V.K.
Rahman N.A.
Electric vehicle energy consumption modelling and analysis: a Malaysia case study
author_sort Hashim M.S.
title Electric vehicle energy consumption modelling and analysis: a Malaysia case study
title_short Electric vehicle energy consumption modelling and analysis: a Malaysia case study
title_full Electric vehicle energy consumption modelling and analysis: a Malaysia case study
title_fullStr Electric vehicle energy consumption modelling and analysis: a Malaysia case study
title_full_unstemmed Electric vehicle energy consumption modelling and analysis: a Malaysia case study
title_sort electric vehicle energy consumption modelling and analysis: a malaysia case study
publisher Institute of Physics
publishDate 2024
_version_ 1814061058263875584
score 13.211869

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