OPTIMAL POWER ALLOCATION SCHEME FOR PLUG-IN HYBRID ELECTRIC VEHICLES USING SWARM INTELLIGENCE TECHNIQUES

RAHMAN, IMRAN (2016) OPTIMAL POWER ALLOCATION SCHEME FOR PLUG-IN HYBRID ELECTRIC VEHICLES USING SWARM INTELLIGENCE TECHNIQUES. Masters thesis, Universiti Teknologi PETRONAS.

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2016 - ELECTRICAL - OPTIMAL POWER ALLOCATION SCHEME PLUG-IN HYBRID ELECTRIC VEHICLES USING SWARM INTELLIGENCE TECHNIQUES-IMRAN RAHMAN-MASTER OF SCIENCE APR 2016.pdf
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Abstract

Green technologies gain popularity to reduce the pollution and give higher penetration of renewable energy source in the transportation. This research induce that
the extensive involvement of plug-in hybrid electric vehicles (PHEVs) requires ade quate charging allocation strategy using a combination of smart grid systems and smart charging infrastructures. It is also noticed that daytime charging station are necessary for daily usage of PHEVs due to the limited all-electric range. Most of the research in the past have been stated that only proper charging control and infrastructure management can assure the larger participation ofPHFVs.Therefore, researchers are trying to develop efficient control mechanism for charging infrastructure in order to facilitate
upcoming PHEVs penetration in highway.

Item Type: Thesis (Masters)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE: Engineering > Electrical and Electronic
Depositing User: Mr Ahmad Suhairi Mohamed Lazim
Date Deposited: 24 Sep 2021 09:54
Last Modified: 24 Sep 2021 09:54
URI: http://utpedia.utp.edu.my/id/eprint/21857

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