Study On Pure Electric Logistics Vehicles Routing Optimization Under Cooperative Distribution Of Multiple Distribution Centers

In 2020,the General Office of the State Council on the issuance of the "new energy vehicle industry development plan(2021-2035)notice" proposed to promote the integration of new energy vehicles and transportation development,the construction of intelligent green logistics transport system.With the development of new energy vehicles,the low-carbon distribution method has become one of the more favored ways for some logistics companies to carry out cargo distribution services,and electric logistics vehicles have entered the public’s view with their low-carbon and environmental advantages,while the path optimization problem faced in the traditional logistics distribution field is also a deficiency in the path planning research of electric logistics vehicles.At present,most of the path optimization problems for electric vehicles only consider a single distribution center for distribution,and do not consider the resource sharing under the cooperative distribution of multiple distribution centers,the distribution resource sharing of charging stations and electric vehicles in the distribution network and the cooperative transportation scheduling strategy among several different distribution centers are proposed to solve the path optimization problem of electric logistics vehicles under multi-center cooperative distribution.In this study,a joint optimization model of multi-center collaborative distribution model and electric vehicle path is proposed.The objective optimization model is constructed to minimize the total cost including transportation cost,fixed cost and charging cost,and the solver Gurobi is invoked to verify the correctness of the model;considering that the electric energy consumption is influenced by the vehicle load and driving speed,a multi-distribution center collaborative distribution model of pure electric logistics vehicle considering dynamic energy consumption is established which is more consistent with the actual scenario.In addition to the total cost,the number of electric vehicles used is incorporated into the model to form a dualobjective optimization problem.Due to the complexity of the model,the NSGA II algorithm is designed to solve the model.In the validation part,the comparison with the cost,the number of electric vehicles used in each distribution center under the individual operation mode proves that the collaborative distribution model can save cost and integrate logistics resources.In the parameter sensitivity analysis,by analyzing the degree of influence of the changes of these parameters,such as vehicle load,battery capacity and time-sharing electricity price,which affect the dynamic power consumption,on the route optimization strategy,it is proved that it is more practical to consider the dynamic energy consumption of electric vehicles in the collaborative distribution mode path planning,and at the same time,the parameter changes have a great influence on the cost of the whole collaborative strategy,so that the transportation resources are reasonably deployed,the variable intervals are reasonably set,and the costs are weighed,which provide references for choosing a more suitable solution for different situations and provide It provides a reference for choosing a more suitable solution for different situations and provides operational suggestions for logistics enterprises.