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Robust energy management system for electric vehicle

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dc.citedby0
dc.contributor.authorChalloob A.F.en_US
dc.contributor.authorBin Rahmat N.A.en_US
dc.contributor.authorRamachandaramurthy V.K.A.L.en_US
dc.contributor.authorHumaidi A.J.en_US
dc.contributor.authorid58698724700en_US
dc.contributor.authorid58698327900en_US
dc.contributor.authorid6602912020en_US
dc.contributor.authorid57192640171en_US
dc.date.accessioned2025-03-03T07:46:53Z
dc.date.available2025-03-03T07:46:53Z
dc.date.issued2024
dc.description.abstractThe Energy Management System (EMS) is critical for electric vehicle (EV) in order to optimize energy consumption, improve efficiency, and enhance vehicle performance. The EMS provides the optimization of energy distribution among various vehicle components, reduces energy losses and maximizes the vehicle's efficacy. The EMS reduces battery stress to prevent excessive charging and discharging cycles; thereby, decreases the necessity for premature battery replacement which, in turn, contributes to the battery's life time. The goal of this research is to develop robust control technique to maximize the use of energy storage systems, renewable energy sources and the bidirectional power flow associated with EVs. The proposed robust control approach is based on combination of flatness theory with artificial neural network. The controller is responsible for maintaining the voltage DC bus stabilized and enhancing the quality of the power fed to the EV side. The performance of controlled EMS is verified via computer simulation within MATLAB/SIMULINK environment. As compared to classical proportional-integral (PI) control, the computer results show the proposed controller (FEMS-ANN) gives higher power quality of EV, lower overshot level in the DC voltage, faster response to abnormal conditions, and less steady state error. ? 2024 The Author(s).en_US
dc.description.natureArticle in pressen_US
dc.identifier.doi10.1556/1848.2024.00839
dc.identifier.scopus2-s2.0-85204129556
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85204129556&doi=10.1556%2f1848.2024.00839&partnerID=40&md5=db43a4dedb72b40d463cf9e8565de9e9
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/37043
dc.publisherAkademiai Kiado ZRt.en_US
dc.sourceScopus
dc.sourcetitleInternational Review of Applied Sciences and Engineering
dc.titleRobust energy management system for electric vehicleen_US
dc.typeArticleen_US
dspace.entity.typePublication
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