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Research On Charging Of Electric Vehicle Based On Mobile Charger Mode In Hadoop Platform

Posted on:2018-09-12Degree:MasterType:Thesis
Country:ChinaCandidate:X M ZhangFull Text:PDF
GTID:2322330512979847Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
With the fast growing of motor vehicle number in our country,the traditional fossile fuel vehicle bring more problems to our environment.In comparison,electric vehicle was born with the advantage of environmental,quiet,energy conservation.After solving the difficulties such as the battery capacity and high price,the electric vehicle industry must be growing rapidly.In order to meet the growing charging demand for electric vehicle,charging facilities must be synchronized.However,there are some limitations in the construction of fixed charging facilities,such as the power infrastructure,the land area and the number of parking spaces,which needs to seek an effective solution.At the same time,with the large-scale promotion of electric vehicle,in order to guide the construction and adjustment of charging facilities,how to store and analyze massive charging data of electric vehicle has become a problem to be solved in the process of rapid development of electric vehicle industry.In this paper,an electric vehicle charging method based on mobile charger mode is presented.In the area where is not suitable for the construction of large-scale fixed charging facilities,large and medium scale car parks are planned as mobile charging service stations,and mobile chargers are configured to provide charging services for electric vehicle.While solving the limitation of fixed charging facilities,the problem of low utilization ratio of charging resource caused by unreasonable occupation of charging bit in the fixed charge pile mode is effectively solved.At the same time,this paper introduces the distributed system infrastructure Hadoop and builds the Hadoop platform.The storage performance and computing performance of power data based on Hadoop platform are tested,and the validity and efficiency of data storage are verified.Based on the distributed file system HDFS(Hadoop Distributed File System)to store daily charging data for electric vehicle charging stations,the storage problem of massive electric vehicle charging data is solved;Through the operation of the calculation algorithm of electric vehicle charging scheme and the optimization algorithm of mobile charger,extracting the charging demand data of electric vehicle stored in HDFS,and calculating the charging scheme for electric vehicle and electric vehicle charging needs to meet the proportional mean corresponding to the number of different mobile charger,which solves the problem of charging data calculation of electric vehicle and realizes the effective utilization of electric vehicle charging data.In this paper,four examples are analyzed,including charging service station location,the number of initial value calculation for mobile charger of charging service station,the calculation of electric vehicle charging scheme and the mobile charger on the number of optimization based on the historical data of electric vehicle charging demand.Based on the specific charging demand data of electric vehicle,the operation steps of the calculation algorithm of electric vehicle charging scheme and the optimization algorithm of mobile charger based on Hadoop platform are described in detail.It is verified that the proposed algorithm is comprehensive and reasonable,which can be applied to the actual charging environment to calculate concrete scheme for electric vehicle and guide the charging service station to adjust the number of mobile charger,and overcoming the limitations of fixed charging facilities.
Keywords/Search Tags:mobile charger, electric vehicle, Hadoop platform, HDFS, charging demand data
PDF Full Text Request
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