Research On Electric Vehicle Path Planning Problem Under The Influence Of Traffic Control Signals And Energy Consumption

Vehicle congestion problem was increasingly serious in major cities in China.A large number of cars in the city have caused a lot of economic losses,time losses and environmental pollution.But a reasonable path planning for vehicles could play a important role in mitigating traffic pressure and improving road utilization.A large number of traffic control signals,in urban road,gain the biggest influence on vehicle travel.Therefore,this paper studies the vehicle path palnning problem under the influence of traffic control signal.And also studies the battery electric vehicle path palnning problem under the influence of traffic control signal and energy consumption by taking the energy consumption problem of battery electric vehicle,which was getting the popularity in urban city,into consideration.The first chapter analyzed the current situation of urban traffic and the development of battery electric vehicles.Then,the research status at home and abroad and the existing problems have been introduced from two perspectives,the path planning with the traffic control signal and the path planning of battery electric vehicles.And the focus and the chapter arrangements of this paper has been explained at last.The second chapter studied the principles and the key technologies of path planning.The definition of the graph and the classical path algorithm,the A*algorithm,have been introduced.What's more,Summed up the characteristics of battery electric vehicles and made a detailed analysis about the electrical systems of battery electric vehicles.And laid the foundation for the research on battery electric vehicle routing planning,what were under the influence of traffic control signals and energy consumption.The urban vehicle speed distribution has been studied to establish the driving speed model in urban road in third chapter.Then,The calculation model of the waiting time of the vehicle at the intersection with traffic control signals is proposed.A conversion module for compensation distance has established by combined both vehicle speed model and waiting time calculation model.Finally,put forward the vehicle path palnning algorithm,based on the A*algorithm,in urban road with traffic control signal by the conversion module and the improved traffic impedance.The fourth chapter took focus on the battery electric vehicle path palnning problem under the influence of traffic control signal and energy consumption.Made a further research on the energy consumption problem under driving cycle of city about a upcoming battery SUV.Furthermore,built the energy consumption function model between power consumption and travel distance by the analyses about vehicle's dynamic property,electrical power features and the on board experiments.Finally,put forward the battery electric vehicle path palnning algorithm under the influence of traffic control signal and energy consumption by combined the energy consumption function model and the intersection,with traffic control signal,waiting time model which was proposed in third chapter.The fifth chapter made a simulation analysis for the vehicle path palnning-algorithm under the influence of traffic control signal and made a comparison with the result of A*algorithm.In addition,made a simulation analysis for the battery electric vehicle path palnning algorithm under the influence of traffic control signal and energy consumption and verified the result with vehicle experiment.Finally,the work is summarized,and the future research is prospected.