Research On Optimization Of Reverse Logistics Network For Waste Battery Of Electric Vehicle In City A

With the development of China's economy and the advancement of science and technology,people's living standards have gradually improved,and the sales volume and possession of automobiles have risen sharply,and the environmental pollution problems brought about by them have become increasingly serious.In order to save resources and protect the environment,electric vehicles have been rapidly promoted due to their low noise,low environmental pollution and high efficiency.Power batteries are important parts in electric vehicles.With the growth of electric vehicle production and sales,power batteries have also developed rapidly.After a certain life cycle,a large number of scrapped power batteries will be generated.Because the power battery contains heavy metal elements and chemicals,it will cause environmental pollution and waste of resources after being discarded.At present,electric vehicles are at the forefront of the market,and power batteries have not been scrapped on a large scale,so their recycling is still in the preliminary exploration stage.Studying the reverse logistics process of power batteries can provide a theoretical basis for recycling practices.Firstly,the research background,significance and current status of battery recycling at home and abroad are expounded.The status quo and problems of electric vehicle battery recovery in China are analyzed.The main research contents of the full text are clarified.The related theories of waste battery recycling in electric vehicles are discussed.And the methodology of the research;analyzed and summarized the operating mode and recycling efficiency of the used batteries of electric vehicles,pointed out the advantages and disadvantages of the existing models and the necessity of implementing the recycling of used batteries.Secondly,the detailed analysis of the uncertainty of the recycling quality of used batteries for electric vehicles is carried out.A mixed-integer linear programming model with the goal of minimizing the cost of recycling is established.The model is transformed into a fuzzy chance-constrained model by uncertainty theory,and the model is clarified.Finally,the situation of the scrap car battery recycling industry in electric vehicles in Area A was studied in detail.Based on the grey system theory,the electric vehicle sales model was constructed,and the sales volume of electric vehicles in A city in 2020 was predicted to further calculate the sales of electric vehicle power batteries.In consideration of the ever-changing life cycle of electric vehicle power battery,the Stanford scrap forecasting model is used to predict the scrapped amount of power battery in A city in 2020.Collected and sorted out the data related to the scrapped power battery recycling of electric vehicles in Area A.Through the Lingo17.0software programming,the data was brought into the model for calculation,and the model optimization solution and optimization plan were obtained.The reverse logistics network of scrapped automobile recycling in A city was optimized.It guarantees the reliability and stability of the reverse logistics network for scrapped automobile recycling in City A.