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Title Design and Development of Power Management Framework for Electrical Vehicles in Smart City Grid
ID_Doc 39267
Authors Sagar, D; Singh, H; Krishna, SMH
Title Design and Development of Power Management Framework for Electrical Vehicles in Smart City Grid
Year 2021
Published
DOI 10.1109/I2CT51068.2021.9417964
Abstract Electric Vehicles are the future of mobility, which are dependent on battery technology, and as estimated, 70% of the two-wheeler and 50% of the EV's, price is estimated to be of batteries. In this dissertation work, power management framework model has been designed and developed for electric vehicles in smart city grid and the proof of concept has been disclosed. After an intense literature review, to design the framework for power management in EV's, three layered architecture is selected and the layers are divided as organisation layer, business logic layer, and analysis layer. The organisation is front layer for various electric vehicles sellers, developers and will act as a connecting layer for the user end and the proposed framework. The organisation layer is divided into three subfunctions namely: data segregation, data evaluation function, and data marshalling function. Where, data segregation is done w.r.t., core, luxury, and safety parameters function. Second layer has been divide into four sub-functions namely: data acquisition function, data un-marshalling function, data representation function, and data marshalling function. Third layer has been divided into four sub-functions namely: data acquisition function, data un-marshalling function, data segregation with respect to core, luxury, and safety parameters function and data analysis function. The proof of concept is given using the NetBeans software and framework designed has three layers which will be represented as three different server stations and the results obtain gives a very clear acceptance confirmation of the designed framework.
Author Keywords Power Management; Electrical Vehicles; organisation layer; business logic layer; and analysis layer
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Conference Proceedings Citation Index - Science (CPCI-S)
EID WOS:000679383900110
WoS Category Engineering, Multidisciplinary
Research Area Engineering
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