| As a new type of energy storage device between the traditional capacitor and battery,supercapacitor has the characteristics of high power density,high working current,long cycle life,green environmental protection and so on.It is used in the fields of electric vehicles,rail traffic,new energy generation,uninterrupted power supply and industrial and mining equipment.The main function of super capacitor is the storage of energy,at the same time,it can suppress power fluctuation and save energy and reduce consumption.The super capacitor energy storage system has very strong nonlinear characteristics,the electrical parameters of the circuit are uncertain,which affect the efficiency of conversion,and seriously affect the energy saving effect of the energy storage device.By optimizing the control strategy of the super capacitor energy storage device,the energy utilization ratio of the energy storage device can be effectively improved.Therefore,by studying an intelligent optimization control strategy of the supercapacitor energy storage device,this paper realizes the adaptive control of the control parameters of the energy storage device,so that the dynamic state performance and the energy conversion efficiency of the supercapacitor energy storage device are always in a better state.Based on the application of the supercapacitor energy storage device in the motor drive system,the working mechanism of the energy storage device is discussed first,and the structure of the energy storage device is introduced.By analyzing the needs of laboratory motor drag experiment platform,we designed and optimized the main power devices in the circuit topology of ultracapacitor energy storage device.At the same time,through the analysis and mathematical modeling of the loss of the main devices,the loss distribution of the energy storage device under different switching frequency and power state is obtained.Considering the influence of the loss of each device in the supercapacitor energy storage device,a small signal perturbation method is adopted to establish the mathematical model of the charging and discharging of the supercapacitor energy storage device under the loss model.In this way,the traditional method is used to design the control strategy under two operating modes of the energy storage device,and the switching strategy between different modes of the energy storage device in the motor drive system.The Matlab/Simulink simulation model is built to verify that the designed energy storage system has good dynamic and static performance and state switching effect.Based on the SOA crowd search algorithm,the PID control strategy of the energy storage device is optimized.First of all,it is verified that the PID control performance improves the efficiency of the system energy conversion,and the influence of PID parameters on the control performance of the system.Then,through the theoretical research and performance analysis of the SOA crowd search algorithm,the PID control parameters are optimized in offline mode based on SOA algorithm.At the same time,in order to make the energy storage device change with the change of the working voltage and current,the on-line adaptive real-time optimization PID controller based on SOA algorithm is designed,and the control effect of the designed control strategy is verified by simulation.Finally,the experimental research and the result analysis of the super capacitor energy storage device based on SOA optimal control are carried out.Based on d SPACE hardware in the loop simulation system,a charging and discharging experimental platform for super capacitor energy storage device is built.The constant power variable load experiment and constant load variable power experiment are carried out under the model of bi-directional DC/DC converter,and the dynamic response performance and energy conversion efficiency of the converter under the SOA optimal control are analyzed.Then,the energy conversion efficiency of the supercapacitor energy storage device under charge discharge state is tested and studied.The experimental results show that the designed super capacitor energy storage device and its control system have good dynamic performance and efficiency. |
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