Reverse Logistics Network Optimization Of Used Electric Vehicle Battery Under Manufacturer-Leading Perspective

Affected by global energy issues and climate change,the concept of low-carbon energy conservation has gradually become a consensus among people.As a result,the production and sales of electric vehicles have steadily increased.As a continuous supply of electric vehicles,power batteries will gradually be phased out and replaced over the years,resulting in a lot of used batteries.Electric vehicle used batteries often contain a large number of chemical materials and metal substances.If they are not recycled professionally,they will have a great negative impact on the environment.If used batteries are recycled and professionally treated by the manufacturer,some materials can be reused,which has certain benefits.Therefore,it is of great significance for the sustainable development,cost reduction and efficiency increase of the electric vehicle industry to improve the recycling system of electric vehicle used batteries and build a scientific and effective reverse logistics network from the perspective of manufacturers.This paper focuses on the reverse logistics problem of electric vehicle used batteries led by manufacturers.Firstly,aiming at the waste of batteries,analyze the recycling mode and network structure of waste batteries of electric vehicles,and propose a solution for data space integration.And put forward three recycling modes of used battery reverse logistics,from the perspective of manufacturer dominance,the Stackelberg game model is used to analyze the recycling profits of three recycling modes in which the manufacturer is the leader and the retailer and the third-party recycler are the followers,and the profit of the manufacturer and the total profit of the closed-loop supply chain under the three recycling modes are solved respectively,which provides a reference for the manufacturer to choose the most suitable reverse logistics mode of used batteries under the guidance of the manufacturer.Then,according to the analysis results,construct the mixed integer programming models of used battery reverse logistics network under the direct recycling mode of manufacturers,the recycling mode of retailers entrusted by manufacturers,and the recycling mode of third parties entrusted by manufacturers respectively,and construct the double objective optimization model of minimizing the total cost of the network and the total amount of carbon emissions,and carry out corresponding genetic algorithm solution design.Finally,this paper analyzes the relevant data of C electric vehicle production company.Firstly,Stanford model is used to predict the recycling volume of used batteries in the recycling outlets of the company in various districts of Beijing.Then,collect relevant data to select the reverse logistics mode of C company,and solve the corresponding reverse logistics network optimization model of C company,obtain the optimal scheme of the reverse logistics network of electric vehicle used batteries for C company in Beijing.The research in this paper can provide reference for manufacturers to build and optimize the reverse logistics recycling system of electric vehicle used batteries.The case analysis shows that this research has a positive effect on reducing the reverse logistics cost of related enterprises and reducing environmental pollution,which is helpful to realize the green ecological development of the electric vehicle industry.