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International Journal of Innovative Technology and Exploring Engineering
Article . 2020 . Peer-reviewed
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Sensitivity of Design Parameters on State of Charge of Electric Vehicles

descriptionPublicationkeyboard_double_arrow_right Article 30 Sep 2020Publisher:Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESPJournal:International Journal of Innovative Technology and Exploring Engineering, volume 9, pages 127-129 (eissn: 2278-3075, Copyright policy )
Authors: Abhi Ram K,; A Srinivaas;

doi: 10.35940/ijitee.k7718.0991120 , 10.5281/zenodo.5853569 , 10.5281/zenodo.5853570

Sensitivity of Design Parameters on State of Charge of Electric Vehicles

Abstract

Paper This study is to find out how sensitively the design parameters of Electric Vehicle (EV) will affect the State Of Charge (SOC) it. The main design parameters that selected are the frontal area of the vehicle, vehicle mass and coefficient of drag. With the help of Advisor software MatLab model of EV s made. The vehicle model is run in different universally accepted driving cycles with different values of design parameters selected. The analysis is done using the sensitivity analysis method, which will show how one parameter is affecting others.

Keywords

Electric vehicle, State of Charge (SOC), Advisor, MATLAB, 100.1/ijitee.K77180991120, 2278-3075

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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