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Research On The Layout Of Electric Vehicle Charging Facilities And Charging Charging Optimization Based On Recharging Choices

Posted on:2021-01-17Degree:MasterType:Thesis
Country:ChinaCandidate:Y C ZouFull Text:PDF
GTID:2392330614460065Subject:Traffic and Transportation Engineering
Abstract/Summary:PDF Full Text Request
In order to promote the development of electric vehicles,in recent years,countries have conducted a lot of research on charging technology.Recently,the emerging wireless charging technology has ushered in a new opportunity for the development of electric vehicles.Here,this article takes emerging dynamic wireless charging technology as an entry point,and on the basis of analysis and summary of previous studies,we investigate the deployment optimization of multi-type electric vehicle charging facilities on the road network under limited investment budget,including the layout of traditional static plug-in charging facilities and the dynamic wireless charging facilities;and investigate the optimal locations and electricity prices for dynamic charging links from a government perspective.This paper first analyzes the impact of the development of charging technology on the layout of charging facilities,and then discusses the influencing factors that affect the charging choices of electric vehicles,and builds a model of electric vehicle equilibrium traffic allocation problems(user equilibrium and stochastic user equilibrium)that consider charging options.Secondly,on the basis of the traveler's travel path and charging choice behavior,bi-level programming models are developed using operational research theory to describe the above two research problems.For the deployment of multi-type charging facilities that consider the heterogeneity of travelers,an optimized two-layer mathematical programming model is deployed.The upper-level programming determines the location and type of charging facilities to maximizesocial welfare,which represents the government's decision making with given investment budget.The lower-level programming adopts multi-class user equilibrium(UE)to describe the traveler's travel choice behavior.And a bi-level optimization model to describe the the combined optimization of locating dynamic charging links and electricity prices on electrified roads.The upper-level problem seeks to optimize the locations of dynamic charging links within a given budget and the corresponding electricity prices on different charging links,aiming to minimize the total social cost;and the lower-level model uses the stochastic user equilibrium criterion to describe the traveler's charging and path selection behavior.Combined with the characteristics of the built model,we proposes two modified surrogate-model-based algorithm for mixed-integer problem(MSO-MI)to solve the developed bi-level models.And set up examples respectively to verify the performance of the models and algorithms in this paper.In addition,we discussed the deployment of charging facilities and the impact of toll collection strategies on road systems,and some parameters in the network are analyzed and the effectiveness of the algorithm proposed in this paper is verified.It provides an optimization plan for the construction of charging facilities and corresponding electricity prices,and makes a reasonable evaluation and analysis of the proposed optimization plan.
Keywords/Search Tags:Wireless charging, Plug-in charging, Battery electric vehicle, Charging facility allocation, Electricity price
PDF Full Text Request
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