Disassembly Sequence Optimization Of Battery Packs For Retired Electric Vehicles Based On Part Priority Graph And Genetic Fireworks Algorithm

As the market for electric vehicles grows rapidly,so does the production of electric vehicles,and with it a large number of battery packs that must be disposed of or recycled after the vehicles are retired.How to effectively and reasonably recycle or dispose the battery pack and realize the sustainable development of green manufacturing has become an urgent problem for all countries to pay attention to and solve.Considering the high production cost of electric vehicles and the great impact on the environment after decommissioning,reasonable disposal of decommissioned electric vehicles can effectively increase the recovery benefits and reduce environmental pollution.Therefore,by dismantling and echelon utilization of lithium-ion battery packs,reusable batteries can be purchased and restructured as fixed energy storage devices,which can greatly promote the market penetration of electric vehicles and reduce life cycle costs and environmental impacts.Therefore,for battery remanufacturing enterprises in reverse supply chain,the disassembly efficiency and cost are very important.However,the average of the disassembly sequence of high computational complexity,solving such problems as low efficiency,has certain limitations,in order to find the optimal disassembly sequence solutions,so as to improve the efficiency of the dismantling,make recycled to maximize profits,this process can be referred to as disassembly sequence planning or optimization,and currently has is a hot issue.This paper mainly studies the mathematical modeling and multi-objective optimization calculation of the dismantled sequence programming problem.This paper mainly carries out the following work:1.The optimization theory of disassembly sequence programming is studied.The definitions of disassembly and programming are discussed first,as well as some influencing factors that will affect disassembly.On this basis,the disassembly mode,the disassembly modeling and the disassembly planning method are explained in detail,and the theoretical framework of the disassembly sequence programming theory is established.2.Construct multi-objective mathematical model,and propose a multi-objective mathematical model based on priority graph,which is used to solve the efficient disassembly of electric vehicle battery pack into modules.The objective of the model is not only to consider the smoothness,cycle time and economic benefit of the worker’s working station,but also to consider the safety and energy consumption of the worker’s operation.3.A new hybrid algorithm,namely genetic fireworks algorithm,is proposed.The performance of the new search mechanism combining genetic algorithm and fireworks algorithm is discussed.The process planning of the hybrid algorithm is constructed,and the feasibility and effectiveness of the method are verified by comparing the method with the algorithms commonly used in the literature.4.In this paper,the disassembly sequence planning method considering multi-objective and parts priority diagram is optimized and verified by using a hybrid genetic fireworks algorithm based on the disassembly battery pack of an electric bus of a Chery brand,and the calculation results of the other four conventional multi-objective optimization methods are compared.It is proved that the genetic pyrotechnic algorithm is superior to the disassembled sequence planning method in optimizing the sequence.