Research On Decision-making And Network Construction Of Retired Vehicle Batteries Recycling

With the continuous promotion of the scale of the new energy industry,in recent years,China’s new energy vehicle yield,sales and inventory have increased sharply.As the core components of new energy vehicles,the first batch of power batteries put into the market is about to be phased out,and the peak of power battery retirement will come in 2020.However,the research on recycling technologies and policies started late and developed slowly,which could not be matched with the large increase of production capacity of related industries.Therefore,this paper studied the reverse logistics of retired automobile batteries,and the main research work is as follows:(1)According to the different division of participants’ labor in reverse logistics activities,this paper analyzes the recycling path of retired batteries.Based on the traditional reverse logistics theory,three recycling modes,namely,automobile dealer recycling mode,joint recycling mode and third-party recycling mode were summarized.Lastly,the mechanism of different recycling modes,main features and scope of application were discussed.(2)According to the relevant research,five key factors that affect the decisionmaking of reverse logistics mode,such as finance,society,flexibility,technology and management were sorted out.Based on these five factors,an index evaluation system for the recovery mode of automobile decommissioning battery,which includes 13 secondary indexes was constructed;Taking a new energy vehicle company C for instance,the linguistic evaluation values of the importance of each index were obtained through expert scoring,and the weights of each index were obtained and modified based on F-Entropy method,the weight deviation minimization principle and the linear combination.Finally,the fuzzy comprehensive evaluation of three kinds of retired batteries modes was carried out to find the most suitable one for company C.(3)Based on the decision results of the recycling mode,a model of the recycling network of the retired battery was established,which is led by the automobile manufacturers and the automobile dealers are responsible for battery recycling.The optimization goal is to minimize the total operating cost of reverse logistics including the fixed investment cost,transportation cost and operation cost in a single decision cycle.After analyzing the related uncertain factors,the two uncertain factors of recycling rate and reusing rate in the model were set as random variables,and the model was further transferred to a random expected value model,which is based on uncertain programming theory.(4)In the case analysis,genetic algorithm were designed to solve the model of retired battery recycling network based on MATLAB,and optimization layout scheme of recovery network,regional recovery center,battery factory and cascade utilization enterprises,the distribution of transportation volume among nodes and the optimization result of total operation cost of reverse logistics were obtained.Comparing with he experimental results by Lingo11.0,it was believed that the optimal values are consistent to some extent,which verified the validity of the model.Under the guidance of circular economy and producer responsibility extension system,systematic thinking,qualitative or quantitative methods and case analysis were applied to form an overall research idea from the operation mode decision-making of retired battery reverse logistics to the construction of network model,so as to help the layout and sustainable development of reverse logistics in new energy automobile industry.