Research On Battery Purchase And Distribution In Electric Vehicle Changing Network

In recent years,global air pollution has become more and more serious.Under the control of national policies,people’s travel patterns have been affected.People are more inclined to choose green travel modes.In this way,environmentally friendly electric vehicles have been developed.With the promotion of electric vehicles,the corresponding electric vehicle network operation mode has received attention.In 2011,State Grid proposed the operation mode of electric vehicle switching network for "centralized charging and delivering".In this mode,the electric vehicle battery is uniformly charged by the charging station,and the charged battery is distributed from the charging station to each of the switiching station to meet the inventory demand of the switiching station,and the vehicle owner who needs to perform battery charging can drive the vehicle to the switiching station.Replace the fully charged battery.Such battery capacity of electric vehicles will directly affect the battery life of electric vehicles.At the same time,the current price of electric vehicle batteries is high,and it is necessary to make reasonable planning for the battery holding capacity in the power exchange network.Therefore,the urgent problem needed to be solved by these related companies is how to design better delivery plan to lower the cost of retention and transpotation.At present,relevant researches mainly focus on the research of operation mode of charging and replacing power stations,the path optimization of electric vehicle ownership forecasting and distribution process,and the lack of joint optimization research on battery planning and distribution problems of power-changing networks.In this paper,the battery quantity planning in the electric vehicle switching network is combined with the battery distribution for joint optimization to improve the economics of the power exchange network.In the article,the paper introduces and analyzes the background and significance of the research questions,reviews related research at home and abroad,and finds the innovative direction of research.Afterwards,the problem was analyzed in detail.Due to the particularity of the battery,it was found that it could be used repeatedly,so that the battery could be repeatedly distributed.As the number of distributions increases,the number of battery holds decreases,but at the same time the cost of logistics and distribution increases.It is therefore necessary to make reasonable planning for the joint problem of battery retention and battery distribution.Combined with the characteristics of the problem,a method of considering multiple delivery is proposed to reduce the battery retention in the network.A mixed integer model considering the cost of battery retention is established to optimize each delivery,and two delivery strategies for the problem are proposed.According to the characteristics of the problem,an improved genetic algorithm suitable for multiple delivery problems is designed.In the analysis of the example of the article,the basic data conforming to the problem background is randomly generated,and then the implementation effect of different distribution strategies is estimated by the exact solution algorithm.At the same time,in the small-scale example,the improved algorithm of the design is compared with the exact solution algorithm.The validity of the algorithm is verified.In the large-scale example,the performance of the improved algorithm is better.This paper mainly made the following innovative research:(1)Establish a mathematical model for the integrated optimization problem of considering battery retention and battery distribution.(2)According to the characteristics of the problem,consider two distribution strategies to optimize the distribution process.(3)Design an improved genetic algorithm suitable for multiple delivery problems.