Optimization Strategy Research Of Hybrid Excitation Bearingless Switched Reluctance Motor For Flywheel Energy Storage

The rapid economic growth is inseparable from the consumption of fossil energy,but it also brings serious environmental problems.An effective way to solve the contradiction between energy consumption and environmental protection is to vigorously develop new energy technologies,and energy storage technology,as a key part of it,has become a current research hotspot.Different from chemical energy storage,flywheel energy storage technology has the advantages of clean and pollution-free,high energy storage density,safety and reliability,and has been widely used in rail transit and power systems and other fields.The bearingless Switched Reluctance Motor(BSRM)has the advantages of high efficiency and good speed regulation performance,and is very suitable for use in flywheel energy storage systems.Nowadays,flywheel energy storage system is developing towards high efficiency and high integration.Based on this,a new topology scheme of flywheel energy storage system is proposed in this thesis.A 12/14 Hybrid Excitation Bearingless Switched Reluctance Motor(HEBSRM)is designed as its energy conversion core.Aiming at the strong coupling,multi-variable and multi-constituent structural parameter features that appear during the optimized design,a dual-system collaborative optimization strategy is proposed.Using this strategy to carry out collaborative optimization of the torque system and suspension system of HEBSRM,the performance of both the torque system and the suspension system can be effectively improved.The main research contents of this thesis are as follows:(1)A new topology scheme of flywheel energy storage system is proposed.Firstly,the topology and working principle of the bearing support system are briefly introduced.Then,the designed HEBSRM topology and working principle are introduced emphatically.Finally,according to Switched Reluctance Motor design experience,the initial size of HEBSRM is designed.(2)The electromagnetic properties of HEBSRM were analyzed by Ansys/Maxwell software.The torque characteristics,suspension characteristics and coupling characteristics of the motor are analyzed,and the correctness of the designed motor is verified.(3)A dual-system collaborative optimization strategy is proposed.Firstly,the optimization objective,design variables and constraints are determined,and then the design variables are divided successively,focusing on dividing the sensitive variables into single-system sensitive variables and dual-system sensitive variables.Secondly,the response surface method and the Non-dominated Sorting Genetic Algorithm II(NSGA-II)are used to rough optimize the suspension and torque systems.Thirdly,the interactive collaborative optimization of the two systems is carried out according to the constraints and coupling relations of the two systems.Finally,the optimal structural parameters are obtained,and the optimal design of the motor is completed.The simulation analysis of the optimized motor proves the effectiveness of the proposed optimization strategy.(4)The optimized prototype was manufactured.An experimental platform was built to test the torque and suspension performance of the motor,which verified the reliability of the motor design and the feasibility of the optimization strategy.