Modeling And Optimization Of Electric Vehicle Power Battery Recycling Network Under Uncertain Conditions

With the increasingly serious global energy and environmental problems,electric vehicles are gradually gaining popularity in the market with their advantages of low environmental pollution,sufficient resources and high efficiency.The relevant government departments have issued a large number of preferential policies for the popularization of electric vehicles.In recent years,the sales of electric vehicles have increased significantly,and the sales of batteries,an important component related to them,have also achieved rapid growth.However,the life of power batterires is limited by time,and the appearance of a large number of discarded batteries will bring serious harm to the environment and resources.Because batteries contain a lot of heavy metals cobalt,lithium and other dangerous elements.At present,there are many researches on reverse recovery mode and recovery logistics network,and few researches on the construction and optimization of logistics network model for waste power batteries of electric vehicles.Therefore,the research on the reverse logistics recovery network model modeling and optimization of electric vehicle power batteries provides theoretical suggestions for the practical treatment of large-scale recycling of used batteries in the future.This thesis describes the status of power battery recycling in terms of research background,significance and research status at home and abroad.To a large number of related to this research topic on reading and summarizing literature and review of the current situation of domestic and foreign power battery recycling,reverse logistics research developments on the development and power battery recycling,points out the shortage of the electric vehicle power battery recycling research,then clear the research content of this article and the technology roadmap.The summarization of power battery,the characteristic classification and network design of reverse logistics network,and the theory and research methods of reverse logistics uncertainty programming are discussed.Based on this,the network channel process of EV power battery recovery is analyzed,and three reverse logistics recovery modes of self-operation,joint operation and third party outsourcing operation are compared.Under the influence of EPR system,a multi-party logistics recovery mode with battery manufacturing enterprises as the main body is established.Secondly,the electric vehicle power battery recycling network model under the determined environment is constructed.Then,considering the uncertainty of electric vehicle power battery demand,power battery recovery quantity and recovery quality,the triangular fuzzy number is used to build the electric vehicle power battery recovery logistics network model under the uncertain environment.The uncertain model was transformed into a certain model by using the uncertain conditional programming method,and the mixed-integer linear model was solved by LINGO software.Finally with L city as the research case analysis,collecting and sorting the L city region electric vehicle power battery recycling-related data,the data generation into the model by Lingo software solution,design the L city under the condition of uncertain power battery recycling reverse logistics network construction,make good L city waste battery recycling more efficient,more value into full play.This article constructed model and the method can effectively solve the problem of future urban scale scrap power battery recycling,as required by the producer responsibility system,considering the energy storage nodes,this paper constructed the power battery recycling integration network model under uncertainty to make full use of the discarded power battery recycling value,make whole power battery recycling network to maximize revenue.