Research On State Estimation And Prediction Method For Electric Drive Drones Power System

In recent years,lithium-ion battery as a new energy has received the widespread attention.In lithium ion battery as a power supply device of electric displacement unmanned aerial vehicle(UAV)due to the advantages of green environmental protection is widely used in the production and living.Compared with oil UAV and hybrid UAV,the electric displacement UAV energy consumption is higher,the flight time is relatively short,easy to electricity shortages during the flight,leading to uavs can’t complete the task smoothly,this limits the uav mission capability,hindered the promotion and use of electric displacement UAV.As a result,the energy state of the system were estimated and task coupling is necessary.Although existing drones have electricity shortages to remind function,but on the basis of only for battery SOC parameters,and unable to forecast energy consumption,the early if deficiency of UAV in performing tasks on the way,will waste some power at the same time also can’t complete the task successfully.If in before a mission on UAV in energy consumption forecasting system under a particular task,will avoid the waste electricity,to work the UAV with maximum efficiency.This thesis mainly focuses on lithium-ion batteries in electric drive on UAV energy system state estimation and UAV flight task management research.The concrete research content is as follows:(1)Electric drive uav system model and energy model.Established between flight and energy system state model of quantitative characterization of implementation to UAV flight parameters for lithium ion battery state estimation model of drive.Characteristics of UAV in different phases of flight flight have bigger difference,the power consumption characteristics is not the same.Based on the different stages of the process of flight parameters with different weights to data-driven model of UAV power influence,characterization of the characteristics of the power needs of the various stages of energy.(2)UAV energy system is the key state parameters analysis and estimate.Through the survey the most can reflect the current state of the energy consumption of UAV parameters.System based on UAV energy lithium ion battery research multiscale state estimation method.On validation part of the algorithm,based on the simulation experiment of lithium ion battery electrochemistry model,set the UAV flight condition,simulation was carried out on the working condition of the,respectively as the reference data,to evaluate the accuracy of state estimation results.Based on the above results,estimated residual range for unmanned aerial vehicle,and is verified using flight test data.(3)UAV energy system state perception and optimized platform development.Complete UAV the development of power system state estimation and optimization software platform.Implement the data read,state estimation,and task management related functions.Embedded ground station using the software platform,the administrator can observe the uav system energy consumption,energy when the UAV at the moment of the system state is unable to continue to complete the task,should state push to management personnel,management personnel must be processed manually choose return ahead of time or charge of charging will be UAV near the site.