Research On Optimization Design Of Waste Battery Recovery Network For New Energy Vehicles

In recent years,the rapid growth of new energy vehicle sales has led to the growing problem of recycling of waste batteries.If a large number of waste batteries are not properly treated,it will lead to resource waste and environmental pollution.Therefore,accelerating the recycling of waste batteries of new energy vehicles has become a key issue.In this paper,the literature survey method,qualitative and quantitative analysis and numerical simulation analysis are used to form the overall research idea of the optimization of the recycling mode and the optimization of the recycling network for waste batteries of new energy vehicles.The specific research contents are as follows:First,the relevant theories of reverse logistics,circular economy and the extension of producer responsibility are combed,and the relevant research progress of the optimization of the recycling mode,the location of the recycling center and the vehicle routing is summarized;Secondly,four recovery modes are designed,namely,producer self operated recovery,third-party recovery,producer responsibility organization recovery,and manufacturer alliance recovery.Entropy weight method combined with gray correlation analysis is used to select the most suitable mode for waste battery recovery;Thirdly,on this basis,with the goal of maximizing the total profits of the waste battery recovery network of new energy vehicles,a planning model for the waste battery recovery network is constructed,and the carbon tax cost is introduced into the model.Then,the opportunity constrained planning model is introduced into the triangular fuzzy number,and the uncertainty model containing fuzzy variables is clarified.The matlab 2018 b software is used to use genetic algorithms,Combined with the actual situation of waste battery recycling in Hangzhou,the model was solved to verify the effectiveness of the model and algorithm,and the problem of recycling center location and vehicle routing optimization was solved.The influence of the change of confidence level of each fuzzy variable on the total profit of waste battery recycling network was further analyzed;Finally,based on the above research results,policy recommendations on the recycling of waste batteries for new energy vehicles are put forward in order to help achieve the goal of "dual carbon".