| In the context of transportation energy transformation,with the rapid development of the new energy automobile industry,as its core components the demand for power batteries is growing rapidly.At present,the power batteries have ushered in a largescale retirement period,and the subsequent recycling of waste power batteries Management problems are becoming more and more serious.The domestic power battery recycling industry is still in the exploratory stage,the recycling system is not perfect,and a large number of waste power batteries flow into informal channels,causing problems such as environmental pollution and safety hazards;secondly,waste power batteries have great economic value.It promotes the recycling of various precious metals such as nickel,cobalt,manganese,and lithium.Under the vision of the current circular economy and the "dual carbon goal",it is necessary to recycle and reuse used power batteries to achieve efficient,balanced and sustainable development of power battery resources.This paper proves a method system for the evaluation and formulation of recovery rate.Accurately predicting the decommissioning of power batteries is an important basis for judging the development trend of the power battery industry and an important indicator for setting target recovery rates.Using game theory,the impact of government rewards and punishments on corporate decision-making was explored,aiming to improve the recycling rate.Such as follows:First,in the context of the large-scale retirement period of power batteries in my country and the low recovery rate,the evaluation method system of recovery rate has been supplemented and improved.The recycling and reuse of used power batteries,business decision-making,and government policy formulation are all greatly affected by the amount of retired power batteries.The Prophet predictor model,BP neural network and Weibull life distribution model are used to predict the amount of retired power,which improves the accuracy of prediction,and also makes the setting of the target recovery rate more evidence-based.Secondly,based on the analysis of the relevant reasons for the low recovery rate of power batteries,establishing a decision-making model for power battery recovery under the EPR system,and constructing a government reward and punishment model.The recovery rate and income of the government reward and punishment mechanism and the recovery responsibility sharing model are compared through qualitative and quantitative analysis,A coordination mechanism is designed based on the recovery rate to seek the optimal recovery pricing strategy for the member enterprises of the power battery closed-loop supply chain.In the context of the surge in the number of retired power batteries,formulating the best recycling strategy to improve the recycling rate and establishing and improving the recycling system and policy are the key issues in the standardization of the recycling industry in the current power battery industry. |
