Font Size: a A A

Charging Stations’ Location Optimization Based On Electric Vehicle Travelling Simulation Model

Posted on:2016-09-21Degree:MasterType:Thesis
Country:ChinaCandidate:Q B ChenFull Text:PDF
GTID:2272330467479157Subject:Logistics Management and Engineering
Abstract/Summary:PDF Full Text Request
As the shortage of oil resources and environmental pollution are more and more serious, the electrical vehicle (EV) industry is becoming more important. In fact, it’s time for China to develop EV. Firstly, people begin to accept EV. Secondly, governments have released various supporting policies to promote the development of EV. Thirdly, it’s technically feasible. Some enterprises have produced many electric vehicles and hybrid electric vehicles. However, because of the short travelling distance, EVs have to be charged frequently. Charging stations’location and operation affect EVs’ charging efficiency. The thesis studies EV’s behavior decision problem, builds EV travelling simulation model and optimizes charging stations’ location.Based on the remaining power of EV and travelling distance, EV’s behavior can be divided into three cases:EV can travel to destination directly; EV should travel to a charging station to be charged before arriving at destination; EV can’t travel to any charging station or destination. Then electric vehicle travelling simulation model is built in the thesis. After that, the model is modified by adding road-network and proposing an algorithm to help EV choose travelling rout. As the number of EVs is related with the size of population, the probability of EVs’ travel should vary among different urban areas. So the population is added into the model.After building EV travelling simulation model, charging stations’ visited times, detour distance and the number of travelling to destination directly are collected by simulation. These data help to analyze the rationality of charging stations’ location. Then the thesis proposes a number of improved plans by adding new charging stations. Then detour distance-cost model helps to choose the best plan. The thesis analyzes and optimizes the charging stations’ location in Beijing. The standard deviation of charging stations’ visited times is reduced by34.38%and the detour rate is reduced by53%after optimizing charging stations’ location. So optimized charging stations’location is more reasonable, for it can balance the operation pressure of charging stations, reduce detour distance and reduce resource waste.
Keywords/Search Tags:[Electric vehicle’s behavior decision, EV travelling simulation model, Charging stations’location optimization]
PDF Full Text Request
Related items