Research On Path Planning Of Pure Electric Vehicles Applied In Urban Logistics Distribution

In recent years,the energy shortage and atmospheric pollution problems in the urban transportation field have become more and more prominent.The search for low-carbon and environmentally friendly logistics and distribution methods has become a major trend in the development of the whole society.Pure electric vehicles have been vigorously promoted all over the world due to their good energy-saving and emission-reduction effects,which has triggered the thinking direction of the new strategy of "urban low-carbon logistics and distribution development".Local governments are actively promoting the large-scale application of electric vehicles in urban logistics distribution systems and vigorously deploying charging networks.At the same time,more and more logistics companies are gradually aware of the low cost and high efficiency of pure electric vehicles and choose pure electric vehicles instead Fuel trucks carry out urban logistics distribution.However,while the electric vehicle industry is achieving leapfrog development,there are still problems such as "driving mileage anxiety" and "electricity consumption risk".In addition,in the environment of low-carbon logistics,most logistics companies ignore electric vehicles when calculating distribution costs.Cars actually still have the problem of the impact of carbon emission costs.Based on the above-mentioned development background and outstanding issues,this paper proposes the path planning of pure electric vehicles in urban logistics distribution from the perspective of low-carbon logistics,and conducts in-depth analysis and research based on this.This paper chooses the route planning of pure electric vehicles in cities as the research object.Through the analysis of the influencing factors of carbon emissions and battery energy consumption in urban logistics distribution route planning,a pure electric vehicle that considers both carbon emissions and nonlinear energy consumption is established.Path planning model,and use genetic algorithm to solve the case in conjunction with the case.First,construct a non-linear power consumption model by analyzing the influencing factors of the energy consumption of pure electric vehicles,and calculate carbon emissions on this basis.Second,comprehensively consider path constraints,load constraints,time constraints,power constraints and other conditions,and establish a path planning model for pure electric vehicles that considers both carbon emissions and nonlinear energy consumption.The model takes the minimum total distribution cost as the objective function,and the cost includes fixed cost,driving cost,charging cost,penalty cost,and carbon emission cost.Finally,the genetic algorithm is used to solve the actual case,and the optimal distribution plan is obtained.By comparing and analyzing the influence of different power consumption modes and carbon emission factors on the total cost of the distribution path of pure electric vehicles,it is concluded that the path planning of pure electric vehicles considering carbon emissions and nonlinear energy consumption is more valuable.The research in this paper has certain theoretical and practical significance.Under the call of the country to vigorously advocate the development of urban low-carbon logistics,by analyzing the unique advantages of pure electric vehicles compared with fuel vehicles as urban distribution vehicles,it is concluded that pure electric vehicles are used in urban transportation.The field is more in line with the development trend of low-carbon logistics.At the same time,the proposed path planning model for pure electric vehicles considering carbon emissions and non-linear energy consumption is more in line with the actual situation than general vehicle path optimization problems.It further supplements the research on the distribution path optimization problem of pure electric vehicles.The research results can help Companies provide guiding advice on the choice of vehicle routing during distribution,which will help companies reduce costs and increase efficiency,and at the same time provide a certain reference for alleviating urban traffic pollution and for the country’s future carbon trading policies that may be widely implemented.