Research On Optimization Of Urbanlogistics Distribution Route Based On Electric Vehicle Charging Selection

With the continuous improvement of urban economic level,the continuous transformation of people's consumption mode and the rapid development of e-commerce,the demand of urban logistics distribution is also growing.However,because the urban logistics distribution in China is still in the stage of development,the existing urban distribution infrastructure is not perfect,the distribution network is not perfect,and the overall quality of distribution services is relatively low.Therefore,not only the limited resources can't be rationally allocated and utilized,but also caused a series of urban problems such as traffic congestion,environmental pollution and so on.In order to effectively reduce the negative impact of urban distribution on urban traffic and environment,China has launched a series of policies and measures to accelerate the construction of urban green distribution system.As a new type of green transportation,electric vehicles are widely used in urban logistics and distribution activities because of their remarkable characteristics of energy saving,environmental protection and energy cleanliness.However,due to the constraints of on-board battery capacity,charging time and inadequate supporting facilities,the cost of logistics and distribution of electric vehicles has remained high.Therefore,it has seriously hindered its application and promotion in the real society.In view of this,this paper combines the characteristics of EV logistics distribution and the actual application situation,proposes three intelligent charging selection strategies,namely full charging strategy,temporary charging strategy and customer charging function classification charging strategy,and studies the optimization of urban logistics distribution based on EV charging selection.Firstly,two charging strategies,temporary charging strategy and full charging strategy,are proposed for the optimization of urban logistics distribution based on electric vehicles.According to the characteristics of the temporary charging strategy,an optimization model is established aiming at minimizing the vehicle use cost,driving cost and charging penalty cost.Furthermore,an improved genetic algorithm is designed and used to solve the above model.The simulation results show that temporary charging strategy is superior to full charging strategy in shortening charging time,improving battery energy utilization and reducing logistics distribution cost.Secondly,on the basis of considering the temporary charging strategy,this paper studies the logistics distribution optimization of electric vehicle city considering the classification of charging function of customer points.That is,with the continuous improvement of science and technology,considering that some customer points have the function of charging distribution vehicles,distribution vehicles can directly charge at customer points in the process of distribution services,without requiring bypass to adjacent charging/switching power stations to supplement the electricity.Therefore,this paper puts forward the optimization of urban distribution of electric vehicles considering the classification of customer charging functions.This paper establishes an optimization model aiming at minimizing vehicle use cost,driving cost and charging penalty cost.Combining the characteristics of the problem and the scale and quality of the solution,a hybrid algorithm is selected and designed to solve the problem.The effectiveness of the model and algorithm is verified by numerical simulation.Finally,taking a city logistics distribution enterprise in Chongqing as an example,this paper makes a case study on the optimization of city logistics distribution based on charging choice of electric vehicles.The results show that the intelligent charging strategy based on temporary charging strategy and customer charging function classification can effectively reduce the charging time of electric vehicles,the number of bypass charging stations and improve the utilization of on-board battery energy.Rate,and significantly reduce the cost of logistics distribution activities and operational efficiency of the whole city.