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dc.contributor.authorAlmatrafi, Lina
dc.contributor.authorBadaam, Salma
dc.contributor.authorMian Qaisar, Saeed
dc.date.accessioned2023-05-07T07:38:20Z
dc.date.available2023-05-07T07:38:20Z
dc.date.issued2023-04-11
dc.identifier.doihttps://doi.org/10.1109/LT58159.2023.10092321en_US
dc.identifier.urihttp://hdl.handle.net/20.500.14131/772
dc.description.abstractThe conventional vehicles use fuels to provide excellent performance. However, conventional vehicles have some cons such as environmental pollution due to exhaust gas emissions that is the reason behind the interest in electric vehicles (EVs) is increasing. It is mainly to reduce the pollution and greenhouse gas (GHG) emissions. In this research, the EV model is implemented via SIMULINK platform with the use of Simscape and Simulink blocks. The implemented model consists of the driving cycles which are connected to the longitudinal driver block. The Driver block is attached to the power controller system. A DC motor is used to move the vehicle body subsystem. Also a battery pack is used to power the EV. The performance of this model is evaluated, based on the speed, state of charge (SoC) of the battery, and power consumption, using three known drive cycles which are Urban Dynamometer Driving Schedule (UDDS), New York City Cycle (NYCC), and the Worldwide Harmonized Light Vehicles Test Procedure (WLTP). A performance comparison for the three considered drive cycles is also made. The findings of this paper shown that the WLTP drive cycle causes the lowest power consumption of 11.113 kW and the SoC value of 87.62%.en_US
dc.description.sponsorshipEffat Universityen_US
dc.publisherIEEEen_US
dc.subjectElectric vehicles (EV)en_US
dc.subjectMATLABen_US
dc.subjectSIMULINKen_US
dc.subjectWorldwide Harmonized Light Vehicles Test Procedure (WLTP)en_US
dc.subjectNew York City Cycle (NYCC)en_US
dc.subjectSimscapeen_US
dc.subjectDrive cyclesen_US
dc.subjectSoCen_US
dc.subjectUrban Dynamometer Driving Schedule (UDDS)en_US
dc.titleElectric Vehicle Performance Evaluation Using UDDS, NYCC and WLTP Drive Cyclesen_US
dc.contributor.researcherDepartment Collaborationen_US
dc.subject.KSAENERGYen_US
dc.contributor.ugstudent2en_US
dc.source.indexScopusen_US
dc.contributor.departmentElectrical and Computer Engineeringen_US
dc.contributor.firstauthorAlmatrafi, Lina
dc.conference.name2023 20th Learning and Technology Conference (L&T)en_US


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