Research On Location And Distribution Path Optimization Of Battery Centralized Charging Centers

Electric vehicles,as the most important part of transportation,have received increasing attention in recent years.The driving range of electric vehicles is currently the most prominent issue.For power station companies,although the speed of battery replacement is relatively fast,the fast charging technology they use can lead to battery degradation and further pollute the environment.Fast charging not only brings high charging costs,but also causes huge loads on the power grid.On the basis of summarizing existing research,this article focuses on the operation mode of "centralized charging and unified distribution",and studies the location selection and distribution path optimization of battery centralized charging centers.The main innovative work includes:(1)This mode first separates the two processes of battery charging and battery replacement,and concentrates the battery charging in a unified charging center,while fully charged batteries are replaced for customers in small power stations.Compared to traditional battery swapping stations,this mode improves the fast-charging mode of batteries,effectively reduces charging costs,slows down the rate of battery degradation,and significantly reduces issues such as grid overload.(2)Through the scheme of centralized night charging and unified distribution,we transformed the problem into a Integer programming model,and set the goal of minimizing the operating cost,which includes the construction cost of the centralized charging center,the cost of vehicles providing battery distribution services to small power stations,and the path cost caused by vehicles based on variable distance in the process of battery distribution.(3)A two-stage method is used to solve this problem.Firstly,an immune algorithm is used to locate a set of battery swapping stations using P-median to determine a centralized charging center and a corresponding set of small battery swapping stations.Then,according to the demand of small battery switching stations,the vehicle assignment path problem is solved by hybrid particle swarm optimization and hybrid simulated annealing.Numerical examples show that compared to existing methods,the proposed method in this paper can control the average error rate within 3% and reduce the solving time by about 50%,demonstrating the efficiency of our algorithm.The operation mode of centralized charging and unified distribution has become a feasible solution for enterprises currently switching power stations.This solution solves the problems caused by fast charging,alleviates rapid battery degradation,reduces operating costs,and reduces the burden on the power grid.This model provides decision-making support and guidance for the industry,promotes more electric vehicle users to use,and makes substantial contributions to sustainable development.In the context of rapid development in society,this model provides a new direction for the sustainable development of electric vehicles.