Research On Scheduling Method For Formation System Automatic Production Of Power Battery

With the increasing demand for power batteries,the production efficiency and production quality of power batteries are especially important.The formation system is the most important system in the whole process of the power battery production and it's the bottleneck in the production and manufacture of the entire power battery.The production scheduling method plays an essential role in ensuring battery production safety,improving battery quality and production efficiency.Setting an automatic production line to achieve power battery processing with high quality and efficient has become a hot research topic.Therefore,it is of great significance and practical value to study the automated scheduling problem of power battery production.This paper took the formation system of a power battery production line as the research object,and analyzes the problems faced by the power battery in the hightemperature standby processing and the formation processing.Aiming at the characteristics of the respective processing,two different multi-objective optimization models were established,and different scheduling optimization algorithms were designed.Finally,these theses studied the simulation based on the Flexsim simulation software.The main research contents of this paper are as follows:(1)Research on the relevant factors of influencing the scheduling strategy in the formation system.Introduced the core processes and machines involved in the production of power battery formation system and analyzed the characteristic of production scheduling.The influencing factors of high-temperature standby processing scheduling and formation processing scheduling are studied separately,which could provide the basis for scheduling optimization research.(2)Research on the optimal method for the allocation and dispatching of static rack.Combining the characteristics of high-temperature standby processing with location assignment principle,aiming at improving the stability of the rack and reducing the aggregation of the trays as the optimized target.A multi-population genetic algorithm(MPGA)based on stability and aggregation which could solve the model quickly and accurately was designed to solve the multi-objective problem.Finally,the verification of the example was given,and the rational allocation of the rack is achieved,which ensured the safety of the power battery in the high-temperature standby processing.(3)Research on production scheduling optimization method of formation processing with waiting time constraints.After the standby processing was completed,the power batteries need to be turned into formation processing in a certain time interval to ensure the production quality of the battery.Aiming at this problem,an optimization mathematical model was put forward to minimize the equipment completion time and minimum the numbers of changes to machines production parameters.And a hybrid particle swarm optimization(HPSO)with penalty function method was introduced,and the validity of the model and algorithm is verified through experiments.(4)Simulation and analysis of scheduling strategy optimization.Flexsim simulation software is used to build the simulation model of formation manufacturing process in power batteries production.The experimental data are obtained by simulating the actual formation manufacturing process of the power batteries.Furthermore,the feasibility of the scheduling optimization strategy was verified compared with the results before and after optimization.