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

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dc.citedby0
dc.contributor.authorHashim M.S.en_US
dc.contributor.authorMansor M.en_US
dc.contributor.authorYing Y.J.en_US
dc.contributor.authorRamachandaramurthy V.K.en_US
dc.contributor.authorRahman N.A.en_US
dc.contributor.authorid57216688148en_US
dc.contributor.authorid6701749037en_US
dc.contributor.authorid58179118600en_US
dc.contributor.authorid6602912020en_US
dc.contributor.authorid9338388000en_US
dc.date.accessioned2024-10-14T03:20:00Z
dc.date.available2024-10-14T03:20:00Z
dc.date.issued2023
dc.description.abstractPreviously, 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.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo12072
dc.identifier.doi10.1088/1755-1315/1281/1/012072
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85182356389
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85182356389&doi=10.1088%2f1755-1315%2f1281%2f1%2f012072&partnerID=40&md5=aa4775ac51dcd1ff25260242fc8e75b6
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34471
dc.identifier.volume1281
dc.publisherInstitute of Physicsen_US
dc.relation.ispartofAll Open Access
dc.relation.ispartofGold Open Access
dc.sourceScopus
dc.sourcetitleIOP Conference Series: Earth and Environmental Science
dc.titleElectric vehicle energy consumption modelling and analysis: a Malaysia case studyen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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