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Study On The Planning Of Electric Vehicle Charging Facilities Faced Destination

Posted on:2017-11-29Degree:MasterType:Thesis
Country:ChinaCandidate:R L RenFull Text:PDF
GTID:2322330485482637Subject:Engineering
Abstract/Summary:PDF Full Text Request
As people's awareness of environmental pollution and resource crises and electric vehicles' advantages of energy-saving and emission reduction,environmental protection,etc.,electric vehicles has won people's attention quickly and therefore its promotion and popularization is imperative.And the planning and construction of the charging facilities as a decisive factor in electric vehicle application will also be concerned and researched by many people or researchers.So far,the number of national charging facilities built is larger and larger but compared with the increasingly growth number of electric vehicles,there still need to build a lot of charging facilities.And the location and type of charging facilities built also can not meet the flexible and changeable charging needs of electric vehicles,which is more obvious in city with larger electric vehicle population.Therefore,charging facilities that meet flexible and changeable charging needs of electric vehicles and that meet daily travel needs of customers should be built right now without any hesitation.This move will greatly promote the promotion and popularization of electric vehicles.Therefore,based on the background,this paper will study the planning issues of charging facilities in destination charging stations which is closely related with people's daily travel.Firstly,this paper will summarize the types and characteristics of charging facilities and charging mode,which would lead to a special charging facilities i.e.the destination charge station.And through the analysis of its advantages and wide application abroad,combining with the construction truth of national charging stations,this paper comes to the value of destination charging stations.Then the parking generation rate model is proposed as the prediction model of electric vehicle charging demand of destination charging stations.This model is amended by some correction factors,such as inventory ratio of electric vehicles,parking berth velocity and average berth utilization.And the arrival rate of the queuing system is calculated based on this model.The method of Bass diffusion model is proposed to predict the inventory ratio of electric vehicle,which is based on the inventory of vehicles,per capita GDP and urban population data.After the analysis of some forecasting models,this paper select regression analysis and trend extrapolation method to predict vehicle inventory in the goal planning years.By the analysis of travel behavior of users,the integral expression is built based on the probability density function of charge starting time SOC,stopping time and the mileage in order to find out the demand probability of fast and slow charging facilities in destination charge station.And then this paper analyses the queuing system established in charging station destination.For the quite difference between fast and slow charging facilities,this paper proposes the idea to parallel charging facilities of the same type.And this paper could verify the feasibility of the parallel idea through the comparison analysis of some index values of the queuing model M/M/1 and M/M/n.Then,this paper will take the fast and slow charging facilities after parallel to the queuing system of multiple services with unequal window capabilities,and take the calculated arrival rate and demand probability of fast and slow charging facilities as parameters to work out steady-state equations and some related index values.Finally,the optimized objective function of this queuing model is estabished with the minimum cost for the builders and users.Lastly through illustrative examples and comparison it proves that method in the paper has a certain feasibility and superiority.
Keywords/Search Tags:electric vehicles, destination charging stations, charging facilities planning, parking generation rate model, queuing theory
PDF Full Text Request
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