Research On The Scheduling Strategy Of Power Battery Electrical Performance Testing

At present,lithium batteries have many advantages such as high energy density,portability,and environmental protection,and have become the preferred energy source in many fields such as electric vehicles,smartphones,and notebook computers.Before the battery leaves the factory,it needs to undergo partial random inspection or batch full inspection before it can be put into use.Battery testing involves multiple testing tasks.Some testing agencies have found that in the process of lithium battery electrical performance testing,there are problems such as long testing time,high equipment idle rate,and poor energy-saving effect of testing equipment.On the other hand,the detection equipment is expensive and the cost of use is high,so it is urgent to improve the efficiency of equipment use.Therefore,there is an urgent need to improve the use efficiency of lithium battery testing equipment and reduce the time that a single battery occupies the testing equipment;it is urgent to improve the power conversion efficiency of the testing power supply to achieve green and energy-saving testing.In order to solve the above problems,this paper analyzes the content and the whole process of the battery electrical performance test,and conducts research on the following two aspects:(1)Aiming at the problem that the single lithium battery needs to occupy the test equipment for a long time during the testing process.First of all,interpret the domestic and foreign standards for lithium battery testing,and determine that in the electrical performance test,the charging and discharging stages of the battery are not carried out continuously,and there are multiple periods of shelving in the middle.Therefore,aiming at the shortest total test time of a batch of batteries,this paper proposes a single-unit scheduling model for electrical performance testing.The solution process of this problem needs to meet the multi-faceted constraints required by the test standards.It belongs to the complex problem of multi-constrained objective optimization,and the use of particle swarm optimization algorithm has a better effect.However,the intelligent algorithm represented by the particle swarm optimization algorithm is usually suitable for the optimization solution of the continuous space,and the optimization problem in this paper is a discrete optimization problem.Therefore,the discrete problem is transformed into a continuous space applicable to the particle swarm optimization algorithm by using the coding technique based on the vector position.Carry out simulation experiments on the basis of theoretical analysis,compare the method proposed in this paper with the traditional method,and draw a conclusion through 20 groups of simulation scheduling of different scales,the method proposed in this paper shortens the time by 51.86%compared with the traditional method,and the detection channel utilization rate is25.75% increased to 53.94%,significantly improving the utilization rate of testing equipment.(2)Aiming at the problem of poor energy saving effect of testing equipment.Firstly,the traditional detection method is analyzed,and it is determined that the energy utilization process between the battery packs is less,and the discharged battery packs usually feed energy back to the grid side.Because the device transfers energy to the grid less efficiently than it transfers it between DC/DC modules,more energy is lost in the process.Therefore,aiming at the lowest power consumption of test equipment,this paper proposes a multi-machine scheduling model for electrical performance testing.Since the scheduling form has changed from single-machine scheduling to multi-machine scheduling,and the detection channel information has been added,a technology based on two-layer coding is used.The first layer of coding represents the detection process information,and the second layer of coding represents the detection channel information.Finally,two sets of simulation experiments with different scheduling scales are carried out.The simulation results show that compared with the traditional method,the energy-saving ratio of the detection equipment proposed in this paper is increased by 28.45% and 33.51%,respectively,and the energy-saving performance of the detection equipment is significantly improved.