Research On Intelligent Path Planning Algorithm Of Electric Logistics Vehicle Considering Battery Energy Consumption Factors

Introducing electric vehicles into traditional logistics distribution is a new subject to study the path planning based on electric logistics vehicles,which can greatly promote the current energy shortage,urban air pollution and urban traffic problems.The inherent limited battery capacity and the characteristics of charging in the middle of the electric logistics vehicle make it very different from the traditional fuel logistics vehicle path planning.The traditional vehicle path planning theory and method are no longer applicable.Electric Logistics Vehicle Route Planning can provide a theoretical basis for logistics enterprises to use electric logistics vehicles for distribution,and promote the large-scale promotion and universal application of electric logistics vehicles.Based on the theory of traditional logistics vehicle routing problem,this paper studies the electric logistics vehicle routing problem considering battery energy consumption(ELVRPBEC).In this paper,a model of ELVRPBEC problem is proposed.In this model,the constraints of electric logistics vehicle path planning such as residual power,node constraints and customer point constraints are considered.An intelligent path planning algorithm for electric logistics vehicle considering battery energy consumption is studied and proposed.This paper explores the practical background and significance of this study from the aspects of energy consumption and environmental pollution,and consults the relevant research history and achievements at home and abroad.According to the characteristics of electric logistics vehicle and its charge and discharge,the influencing factors of battery energy consumption are analyzed,and the prediction model of battery energyconsumption is established accordingly.The path planning problem of electric logistics vehicle considering battery energy consumption is proposed,and a new path planning model of electric logistics vehicle is innovatively established from the aspects of objective function and constraints.Based on grouping genetic algorithm,greedy algorithm is introduced to optimize the initial solution,and region search algorithm is introduced to optimize the number of iterations of the algorithm.A genetic-based optimization algorithm for ELVRPBEC model is developed.In this paper,an intelligent path planning scheduling system of electric logistics vehicle considering battery energy consumption is designed to verify the algorithm.The test results show that the algorithm is feasible and effective.In the simulation test,the total distribution mileage required by the algorithm is 5.6% shorter than the existing algorithm,and the calculation time of the path planning algorithm is 35%longer than the existing algorithm.In this paper,the intelligent path planning algorithm of electric logistics vehicle considering battery energy consumption factor is studied,which effectively combines charging pile and road network information,and better plans the distribution path of electric logistics vehicle,which can better guide logistics enterprises to carry out reasonable distribution path planning.