A Simulation Study On Wireless Charging Electric Vehicle Control In Highway

Nowadays,the concept of "sustainable development" is becoming more and more popular,and the "low carbon cycle" has become the direction of future technological revolutions and industrial changes.At the same time,a variety of advanced and transformative technologies have promoted the electrification,networking and intelligence of the transport industry.The development of electric vehicles is an important force for addressing climate change and an engine for promoting green development.However,the limited battery capacity of electric vehicles makes drivers with long-distance travel needs prone to "range anxiety",which hinders the promotion of electric vehicles.The development of a new charging technology,dynamic wireless charging,could alleviate charging concerns on long journeys on the highway of the future.Although the "charging while driving" mode can solve the range problem,it will inevitably affect the traffic flow,so the study of the traffic flow characteristics of the highway under this charging mode has both theoretical and practical implications for future construction.This thesis takes the paved wireless charging lane on the highway as the research scenario,considers the vehicle driving characteristics under this special charging mode,constructs a two-lane traffic flow environment based on cellular automata model,applies MATLAB software for simulation,and explores the impact of the wireless charging lane on the traffic operation efficiency of the highway through numerical analysis.Firstly,the traffic characteristics of electric vehicles on highway containing wireless charging,including longitudinal driving characteristics and lane changing characteristics,are analysed to provide a theoretical basis for the proposed simulation control scheme.Then,the control area is divided into three parts within the simulated road section.Based on the classical cellular automata model,the driving behaviour of vehicles on different control sections is categorised and discussed,and the car-following rules for different charging attributes are constructed.Therefore,it is more realistic to characterize the car-following process of vehicles with different charging demands in the simulation system.The lanechanging motives in the mixed driving process of charging and non-charging vehicles are analyzed in detail,and the lane-changing conditions are dynamically adjusted.Considering the influence of the distance between the charging vehicle and the charging starting area on the willingness to change lane,a lane-changing pressure function is introduced to build a vehicle lane-changing model suitable for the wireless charging road system.Finally,a traffic flow simulation software is developed based on the above model,containing four functional modules: vehicles,vehicle control rules,road conditions and system processing.To facilitate the experiment,the system retains extensibility.The effect of different charging ratios and different charging lane lengths on traffic flow is investigated.The results show that as both charging ratios and charging lane lengths increase,there is a suppressive effect on traffic flow,the average system speed decreases and the blockage density advances.In addition,guided charging control sections of different distances are set as the control strategy to analyse the effect of each scheme on travel time under different traffic densities.The results show that the lane change control can effectively alleviate the traffic congestion caused by charging roads under both medium and high traffic density,and the total travel time is reduced by 30.3% and 18.5% respectively,optimising the road traffic efficiency.