Study On Network Optimization Of Electric Taxi Battery Distribution

With the depletion of fossil energy and the aggravation of environmental pollution,every country is exploring the use of clean energy.With the characteristics of zero exhaust,zero emission and zero pollution,electric vehicles become the development trend of the future transportation field.As a popular tool of transportation in urban daily life,taxi occupies a large proportion in the emission of traffic pollutants,which seriously hinders the implementation of the "30.60" dual carbon target policy.Therefore,the electrification of taxi is an important measure for urban environmental governance and the construction of clean and low-carbon energy system,and an inevitable trend for the development of green transportation system.Due to the limitation of electric vehicle battery technology,the battery charging time directly affects the normal operation of electric taxis.The power exchange mode has become an important way to solve the problem of wide promotion of electric taxis and clean development of urban traffic.Battery distribution station is the supporting infrastructure to promote the electric taxi power exchange mode.Whether its location and distribution path optimization is scientific and reasonable has a great impact on the promotion and popularization of electric taxi.Therefore,it has important practical and strategic significance for the development of electric taxi to reasonably plan the location of battery distribution station and optimize the transportation path of distribution vehicles.The battery supply network is composed of power stations,distribution stations and distribution lines.In this paper,the power stations and distribution stations are taken as network nodes,and the paths between nodes are taken as links.Considering the dynamic distribution characteristics of electric taxis,the location model and path optimization model are used to study the location and path optimization of battery distribution network nodes,so as to form a battery distribution network optimization research.The main work and innovation of this paper are as follows.Firstly,this paper analyzes the structure of the battery distribution network optimization,redefines and describes the functions of the network nodes(exchange station and distribution station)of the battery distribution station.In addition,the concept and characteristics of electric vehicle charging mode are summarized,and the power exchange mode studied in this paper is described in detail.Secondly,this paper studies the location of the network nodes of the battery distribution.Based on the location distribution of taxis at typical time,the K-means clustering model is used to cluster the sample,so as to obtain the location and demand of the power station.Based on the location and demand of exchange station obtained by clustering algorithm,and considering the scheduling demand of exchange station and the capacity constraints of battery distribution station,the location model of battery distribution station was established with the minimum construction cost and distribution cost of battery distribution station as the objective function.An adaptive genetic algorithm is designed to solve the model.Thirdly,the optimization model of battery distribution path was established.Based on the location model of the battery distribution station and the exchange station it serves,and considering the battery scheduling demand of the exchange station and the constraints of vehicle loading capacity,the optimization model of the battery distribution path was established with the goal of minimizing the battery distribution cost.Aiming at this model,an improved ant colony algorithm was designed to solve the model.Finally,based on the model constructed in this paper,the second ring road area of C city is taken as an example to study the location and distribution path of the battery distribution,and the sensitivity analysis of the parameters in the path optimization model is carried out.The results show that the location model of the battery distribution network node and distribution path optimization model in this paper can solve the problem of battery distribution network planning in reality,which verifies the effectiveness and feasibility of the model,and provides an effective reference for the battery distribution of electric taxis in the future.