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Research On Management Strategy Of Wired Charging And Wireless Charging For Electric Vehicles

Posted on:2020-01-27Degree:MasterType:Thesis
Country:ChinaCandidate:X KuangFull Text:PDF
GTID:2392330596976573Subject:Engineering
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Electric vehicle is a new type of vehicle with zero emission,which greatly reduces the dependence on traditional fossil fuels and conforms to the world consensus on environmental protection and new energy development.Therefore,countries around the world have increased investment in the research and development of electric vehicles and promoted the development of its market in terms of policies.In recent years,the market share of electric vehicles has been growing by leaps and bounds.However,with the increasing popularity of electric vehicles,the huge charging load is bound to have negative impacts on the power system,such as overload,voltage drop and harmonic pollution,which in turn affect the vehicle charging efficiency and user experience.This requires the deployment of charging infrastructures and the establishment of charging rules.This thesis mainly studies the management strategies of electric vehicle charging under different charging scenarios,aiming to improve the satisfaction of vehicle users,the benefit of charging service providers and the stability of the power system,which will positively promote the development of electric vehiclesThe second chapter first introduces the technologies and principles of electric vehicle wired and wireless charging and discusses the electric vehicle charging load modeling analysis,providing technical background introduction for the following chapters.Then,the third and fourth chapterspropose two electric vehicle charging management strategies for the wired and wireless charging modes,respectively.Specifically,the second chapter compares the implementation methods,charging efficiency,application scenarios,advantages and disadvantages of the two charging technologies.The charging behavior and demand characteristics of user groups are expounded under different charging modes and scenarios.Then,the current situation of private car charging in public parking lots and wireless charging lanes is summarized.The influence of electric vehicles connected to power grid under the two charging modes is analyzed.The general process for electric vehicle charging load modeling is presented,which is used in the following chapters.In the third chapter,an efficient electric vehicle charging guidance method is proposed for the wired charging mode.By recommending appropriate charging locations to electric vehicles,the utilization rate of charging facilities and the satisfaction of vehicle users are improved.Based on the actual road map model,the wired charging and guidance model is constructed by using Floyd algorithm.The purpose of this model is to reduce the driving distance of electric vehicles to the wired charging station and improve the matching degree between charging demand and charging facilities.The weighted total cost function is formulated by taking the total driving distance and mismatching degree as the actual optimization parameters.The objective of optimization is to minimize the total cost function.The results show that this method can not only improve users’ satisfaction but also guarantee the economic benefits of charging stations,achieving a reasonable balance between the two performances.The fourth chapter considers a dynamic wireless charging scenario,where electric vehicles can be charged while driving on wireless charging lanes.This charging load is highly impulsive and uncertain,which brings great impact on power distribution networks.An adaptive control algorithm is proposed for this wireless charging scenario to optimize the charging power and power supply ratio of electric vehicles.In the cost function,the charging satisfaction of vehicle users,load pressure of the wireless charging road,power supply cost and power supply stability are comprehensively considered.The adaptive dynamic programming algorithm is used to estimate and minimize the long-term cost function.Through neural network training,the approximate optimal control strategy is obtained.Simulation results show that this method can take into account user satisfaction and charging load pressure,meeting the requirements of power supply cost and stability.
Keywords/Search Tags:electric vehicle, load modeling, wired charging, wireless charging, charging management strategy
PDF Full Text Request
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