Optimization Of The Distribution Path Of New Energy Logistics Vehicles Considering Charging And Switching Strategies

With the increasing public awareness of environmental protection and the promotion of sustainable development of urban distribution,the awareness of new energy logistics vehicles in the field of urban distribution has gradually increased,and the application scenarios have been gradually promoted.However,due to the rapid growth of new energy vehicles,the corresponding supporting facilities are not perfect,uneven distribution,high cost and a series of problems lead to vehicle "replenishment difficulties",which seriously affects the efficiency of logistics and distribution and restricts the large-scale operation of new energy logistics vehicles.Distribution path planning is one of the core issues in logistics and distribution,through reasonable planning of distribution path,it can help logistics enterprises to reduce distribution costs,optimize resource allocation and improve distribution efficiency,thus improving service quality and enhancing enterprise competitiveness.Therefore,this paper addresses the characteristics and actual operational needs of new energy logistics vehicles,formulates a reasonable replenishment strategy,designs a convenient distribution path,optimizes the use efficiency and operation cost of new energy logistics vehicles,and improves its application prospects in logistics distribution.Firstly,based on the theories related to new energy logistics vehicles and the replenishment strategy,the thesis proposes a cooperative replenishment strategy that can combine both charging and power exchange replenishment methods.Secondly,using the AHP evaluation method,the optimal replenishment strategy is selected based on the four evaluation indexes of replenishment cost,replenishment time,replenishment efficiency and replenishment pollution by expert scoring.Once again,a new energy logistics vehicle distribution path model considering the recharge strategy is constructed,and an improved simulated annealing genetic algorithm that can effectively solve the model is designed.Finally,the data of S logistics company is selected for example analysis,and the specific route map of distribution path planning under different replenishment strategies is obtained and the corresponding distribution cost is obtained by using Matlab software and solving the model according to the improved simulated annealing genetic algorithm.The analysis of the results once again verifies that the cooperative power replenishment strategy can effectively optimize the distribution path.The promotion of new energy logistics vehicles is to reduce the reliance on traditional energy sources and reduce pollutant emissions,which is the future development direction of the logistics and distribution industry.In this paper,the distribution path planning of new energy logistics vehicles is carried out by considering the topic of charging and switching,aiming to effectively shorten the transportation distance of new energy logistics vehicles,reduce road congestion,improve energy utilization,reduce distribution costs,and provide some useful ideas for further promoting the development of new energy logistics vehicles.