Hybrid excitation flux switching motor induction voltage optimization method, terminal and medium

Abstract

The present invention discloses a hybrid excitation flux switching motor induced voltage optimization method, terminal and medium, and relates to the technical field of motor parameter optimization. By determining the hybrid excitation flux switching motor to be optimized; performing machining process analysis on the rotor pole, and determining the optimization method according to the machining process analysis results, including setting auxiliary slots on the rotor pole and / or changing the rotor pole edge shape; determining the optimization target according to the actual working conditions of the motor, including induced voltage pulsation and / or torque output; performing parameterized modeling according to several design indicators related to the optimization method, and determining several target design indicators according to the sensitivity analysis results; performing multi-target optimization according to each target design indicator and optimization target, and obtaining the optimal value of each target design indicator. The present invention discloses two methods for optimizing the rotor structure, which change the motor topology through the rotor structure, thereby affecting the air gap magnetic permeability, and finally achieving the purpose of suppressing the induced voltage pulsation.

Description

Technical Field

[0001] The present invention relates to the technical field of motor parameter optimization, and in particular to a method, terminal and medium for optimizing the induced voltage of a hybrid excitation flux switching motor. Background Art

[0002] The hybrid excitation motor with both permanent magnet and DC excitation windings combines the advantages of permanent magnet motors and electric excitation motors. Among them, the stator hybrid excitation motor has both permanent magnet and DC excitation windings on the stator, and has the advantages of brushless operation, simple rotor structure and strong operational reliability, which has attracted much attention in academia and industry. The hybrid excitation flux switching motor has become a current research hotspot due to its high performance brought by concentrated magnetic flux.

[0003] For hybrid excitation flux switching motors, the pulsation of the induced voltage of the DC excitation winding will bring a series of problems. This is a parasitic effect that cannot be ignored. It will cause ripples in the DC excitation winding current, which will affect the stability of the excitation. It will also cause a loss of torque density, making the motor drive more complicated.

[0004] Currently, there is a lack of effective methods for suppressing the pulsation of the induced voltage of the DC excitation winding for hybrid excitation flux switching motors.

[0005] Therefore, the existing technology still needs to be improved and developed. Summary of the invention

[0006] The technical problem to be solved by the present invention is that, in view of the above-mentioned defects of the prior art, a method, terminal and medium for optimizing the induced voltage of a hybrid excitation flux switching motor are provided, aiming to solve the problem in the prior art that there is a lack of an effective method for suppressing the pulsation of the induced voltage of the DC excitation winding of a hybrid excitation flux switching motor.

[0007] The technical solution adopted by the present invention to solve the problem is as follows:

[0008] In a first aspect, an embodiment of the present invention provides a method for optimizing the induction voltage of a hybrid excitation flux switching motor, the method comprising:

[0009] Determining a hybrid excitation flux switching motor to be optimized;

[0010] Performing a machining process analysis on the rotor of the hybrid excitation flux switching motor, and determining an optimization method based on the machining process analysis result, wherein the optimization method includes providing auxiliary slots on the rotor poles and / or changing the shape of the rotor pole edges;

[0011] Determining an optimization target according to the actual working condition of the hybrid excitation flux switching motor, wherein the optimization target includes induced voltage pulsation and / or torque output;

[0012] Performing parametric modeling according to several design indicators related to the optimization method, and performing sensitivity analysis, and determining several target design indicators according to the sensitivity analysis results;

[0013] Multi-objective optimization is performed according to each of the target design indicators and the optimization objectives to obtain the optimal value corresponding to each of the target design indicators.

[0014] In one embodiment, the performing of a machining process analysis on the rotor of the hybrid excitation flux switching motor and determining an optimization method according to the machining process analysis result comprises:

[0015] Analyze the difficulty of slotting and edge processing based on the rotor's structural information, slotting process information, and edge process information;

[0016] The optimization method is determined based on the motor equipment information, the slotting processing difficulty and the edge processing difficulty.

[0017] In one embodiment, the analyzing the difficulty of slotting and edge processing based on the rotor structure information, slotting process information and edge process information includes:

[0018] Acquire structural information and material information of the rotor according to the construction information, and determine the general processing difficulty according to the structural information and the material information;

[0019] Determine the slotting difficulty according to the slotting process information, and determine the slotting processing difficulty according to the slotting difficulty and the general processing difficulty;

[0020] The trimming difficulty is determined according to the edge process information, and the edge processing difficulty is determined according to the trimming difficulty and the general processing difficulty.

[0021] In one embodiment, the parametric modeling method includes:

[0022] Acquire a pre-established simulation model of the hybrid excitation flux switching motor;

[0023] The optimization variables are determined by the simulation model and the design indicators, and parameterized modeling is performed on the optimization variables.

[0024] In one embodiment, the sensitivity analysis method:

[0025] Generating sensitivity analysis variables according to each of the design indicators, and generating sensitivity analysis targets according to the optimization target;

[0026] Calculating a sensitivity correlation coefficient matrix according to the sensitivity analysis variables and the sensitivity analysis targets;

[0027] A number of target design indicators are determined according to the sensitivity correlation coefficient matrix.

[0028] In one embodiment, when the optimization method includes setting auxiliary slots on rotor poles, the target design indicators include the slot width, slot depth and slot position of the selected rotor pole to be slotted, and the multi-objective optimization is performed according to each of the target design indicators and the optimization target to obtain the optimal value corresponding to each of the target design indicators, including:

[0029] Determine the parameter ranges corresponding to the slot width, slot depth and slot position respectively according to the structural parameter information of the hybrid excitation flux switching motor;

[0030] The optimal values ​​corresponding to the slot width, slot depth and slotting position are calculated according to the optimization target and the parameter ranges through a preset optimization algorithm.

[0031] In one embodiment, when the optimization method includes changing the shape of the rotor pole edge, the target design index includes the arc radius of the selected rotor pole to be trimmed, and the distance value between the rotor center and the center of the circle corresponding to the arc, and the multi-objective optimization is performed according to each of the target design indicators and the optimization target to obtain the optimal value corresponding to each of the target design indicators, including:

[0032] The optimal value of the arc radius and the optimal distance between the rotor center and the center of the circle corresponding to the arc are calculated according to the optimization target through a preset optimization algorithm.

[0033] In one embodiment, the results of multi-objective optimization are presented using a scatter distribution graph, and the attribute information of each point in the scatter distribution graph includes the optimization target value, calculation result value and input parameter value of the point; the optimal value of each target design indicator is determined based on the scatter distribution graph.

[0034] In a second aspect, an embodiment of the present invention further provides a terminal, comprising a memory and one or more processors; the memory stores one or more programs; the program contains instructions for executing the hybrid excitation flux switching motor induced voltage optimization method as described in any one of the above; and the processor is used to execute the program.

[0035] In a third aspect, an embodiment of the present invention further provides a computer-readable storage medium on which a plurality of instructions are stored, wherein the instructions are suitable for being loaded and executed by a processor to implement the steps of any of the above-mentioned methods for optimizing the induced voltage of a hybrid excitation flux switching motor.

[0036] Beneficial effects of the invention: The embodiments of the invention disclose two methods for optimizing the rotor structure of a hybrid excitation flux switching motor, which change the motor topology through the rotor structure, thereby affecting the air gap magnetic permeability, and ultimately achieving the purpose of suppressing the induced voltage pulsation of the DC excitation winding. The invention has high feasibility and is easy to operate, and can achieve a balance between weakening the induced voltage pulsation of the excitation winding and maintaining a higher output torque, while reducing torque pulsation and iron loss, thereby effectively improving the motor performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0038] Figure 1 It is a flow chart of a method for optimizing the induced voltage of a hybrid excitation flux switching motor provided in an embodiment of the present invention.

[0039] Figure 2 It is a topological structure diagram of a hybrid excitation flux switching motor provided in an embodiment of the present invention.

[0040] Figure 3 It is a schematic diagram of rotor pole slotting provided by an embodiment of the present invention.

[0041] Figure 4 The embodiment of the present invention provides , Slot width Simulation results of the impact on induced voltage ripple and average torque.

[0042] Figure 5 The embodiment of the present invention provides , Time slot depth Simulation results of the impact on induced voltage ripple and average torque.

[0043] Figure 6 The embodiment of the present invention provides , Auxiliary slot position Simulation results of the impact on induced voltage ripple and average torque.

[0044] Figure 7 It is a schematic diagram of an arc-shaped rotor pole provided in an embodiment of the present invention.

[0045] Figure 8 is the radius of the arc provided in the embodiment of the present invention Simulation results of the impact on the peak-to-peak value of the induced voltage ripple and the average torque.

[0046] Fig. 9 is the radius of the arc provided in the embodiment of the present invention A diagram of simulation results showing the effect on cogging torque peak-to-peak value and torque ripple.

[0047] Fig.10 It is a principle block diagram of a terminal provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0048] The present invention discloses a method, device and medium for optimizing the induction voltage of a hybrid excitation flux switching motor. In order to make the purpose, technical solution and effect of the present invention clearer and more specific, the present invention is further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0049] It will be understood by those skilled in the art that, unless expressly stated, the singular forms "one", "said", and "the" used herein may also include plural forms. It should be further understood that the term "comprising" used in the specification of the present invention refers to the presence of the features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups thereof. It should be understood that when we refer to an element as being "connected" or "coupled" to another element, it may be directly connected or coupled to the other element, or there may be intermediate elements. In addition, the "connection" or "coupling" used herein may include wireless connection or wireless coupling. The term "and / or" used herein includes all or any unit and all combinations of one or more associated listed items.

[0050] It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as generally understood by those skilled in the art in the art to which the present invention belongs. It should also be understood that terms such as those defined in general dictionaries should be understood to have meanings consistent with the meanings in the context of the prior art, and will not be interpreted with idealized or overly formal meanings unless specifically defined as herein.

[0051] In view of the above-mentioned defects of the prior art, the present invention provides a method for optimizing the induced voltage of a hybrid excitation flux switching motor, the method determining a hybrid excitation flux switching motor to be optimized; performing a machining process analysis on the rotor of the hybrid excitation flux switching motor, and determining an optimization method according to the machining process analysis results, wherein the optimization method includes setting auxiliary slots on the rotor poles and / or changing the shape of the rotor pole edges; determining an optimization target according to the actual working conditions of the hybrid excitation flux switching motor, wherein the optimization target includes induced voltage pulsation and / or torque output; performing parameterized modeling according to several design indicators related to the optimization method, and performing sensitivity analysis, and determining several target design indicators according to the sensitivity analysis results; performing multi-objective optimization according to each of the target design indicators and the optimization target, and obtaining the optimal values ​​corresponding to each of the target design indicators. The present invention discloses two methods for optimizing the rotor structure of a hybrid excitation flux switching motor, changing the motor topology through the rotor structure, thereby affecting the air gap magnetic permeability, and finally achieving the purpose of suppressing the induced voltage pulsation of the DC excitation winding. The present invention has high feasibility and is easy to operate, and can achieve a balance between weakening the induced voltage pulsation of the excitation winding and maintaining a higher output torque, while reducing torque pulsation and iron loss, and effectively improving motor performance.

[0052] like Figure 1 As shown, the method includes:

[0053] Step S100: determining a hybrid excitation flux switching motor to be optimized.

[0054] Specifically, this embodiment mainly optimizes motor parameters for the induced voltage pulsation phenomenon of the hybrid excitation flux switching motor, and suppresses the induced voltage pulsation by changing the motor topology and then changing the air gap permeability.

[0055] For example, the hybrid excitation flux switching motor of this embodiment is composed of a stator, a rotor, a permanent magnet and a winding, and there is an air gap between the stator and the rotor. The topological structure of the motor is as follows: Figure 2 As shown, 1 represents the stator, 2 represents the rotor, 3 represents the permanent magnet, 4 represents the iron bridge, 5 represents the armature winding, 6 represents the excitation winding, and 7 represents the auxiliary slot position , 8 represents the slot width , 9 indicates the groove depth , f nRepresents the nth field winding. Both the stator and the rotor are salient pole structures, the stator has 12 slots, and the rotor has 10 poles. The permanent magnet is sandwiched in the center of the stator teeth, but it does not occupy most of the space of the stator teeth. The hybrid excitation flux switching motor reduces the size of the permanent magnet and leaves room above each permanent magnet to build an iron bridge. The hybrid excitation flux switching motor has 12 armature windings and 12 field windings. , they are all embedded in the stator slots of the motor, and there is no filler in the rotor slots. There is an armature winding on each stator tooth, and there is an excitation winding between two adjacent stator teeth. The excitation winding is wound on the iron bridge above the permanent magnet. Direct current is passed through the excitation winding, and three-phase alternating current is passed through the armature winding. The specific structural parameters of the hybrid excitation flux switching motor are shown in Table 1.

[0056] Table 1. Structural parameters of hybrid excitation flux switching motor

[0057]

[0058] Step S200, performing a machining process analysis on the rotor of the hybrid excitation flux switching motor, and determining an optimization method based on the machining process analysis result, wherein the optimization method includes providing auxiliary slots on the rotor poles and / or changing the shape of the rotor pole edges.

[0059] Specifically, in the hybrid excitation flux switching motor, the permanent magnets, excitation windings and armature windings are all on the stator. Due to the complex structure of the stator, in order to simplify the design and manufacturing costs, this embodiment chooses to suppress the induced voltage pulsation by optimizing the rotor structure. Through the analysis of the machining process of the rotor pole, one or more optimization methods are selected. The first optimization method is to open auxiliary slots on the rotor poles, that is, the rotor slot optimization method; the second optimization method is to change the shape of the rotor pole edge, that is, the rotor pole edge shape optimization method, for example, changing the rotor pole edge from a straight line to an arc.

[0060] In one implementation, performing a machining process analysis on the rotor of the hybrid excitation flux switching motor and determining an optimization method according to the machining process analysis result includes:

[0061] Analyze the difficulty of slotting and edge processing based on the rotor's structural information, slotting process information, and edge process information;

[0062] The optimization method is determined based on the motor equipment information, the slotting processing difficulty and the edge processing difficulty.

[0063] Specifically, when analyzing the machining difficulty of the motor rotor pole, it is first necessary to obtain the structural information of the rotor pole, and analyze the influence of the structure and material of the rotor pole on the machining based on this structural information. It is also necessary to obtain the slotting process information and the edge process information, and analyze the difficulty of machining different parts of the rotor pole based on this process information. This embodiment analyzes the slotting machining difficulty and the edge machining difficulty on the rotor pole respectively for two rotor structure optimization methods that may be used later. In addition, in order to select a suitable optimization method, this embodiment also needs to obtain the motor equipment information of the hybrid excitation flux switching motor, such as the real-time operating data of the motor speed, load, temperature, etc.; or the performance indicators of the motor efficiency, power factor, torque pulsation, etc.; or the application of the motor. Finally, the optimization method of the rotor pole structure is determined by combining the motor equipment information, the slotting machining difficulty and the edge machining difficulty. In actual application, after executing the optimization method, the state feedback information of the motor can be collected through a pre-established real-time monitoring system, and it can be determined whether the rotor structure needs to be optimized again based on the state feedback information.

[0064] In one implementation, analyzing the difficulty of slotting and edge processing by using the rotor structure information, slotting process information, and edge process information includes:

[0065] Acquire structural information and material information of the rotor according to the construction information, and determine the general processing difficulty according to the structural information and the material information;

[0066] Determine the slotting difficulty according to the slotting process information, and determine the slotting processing difficulty according to the slotting difficulty and the general processing difficulty;

[0067] The trimming difficulty is determined according to the edge process information, and the edge processing difficulty is determined according to the trimming difficulty and the general processing difficulty.

[0068] Specifically, the construction information includes the structural information and material information of the rotor pole. Based on these structural information combined with different process information, the machining difficulty of the slotting process and edge process of the rotor pole can be analyzed, and the appropriate rotor structure optimization method can be selected based on this. In practical applications, the structural information of the rotor includes size and shape, such as the diameter and length of the rotor pole; the material information can reflect the type of material used for the rotor pole, such as silicon steel sheet, soft magnetic composite material, etc. The higher the hardness of the material, the greater the cutting force during slotting, and the higher the requirements for the tool. The general machining difficulty can be determined based on the structural information and material information. Then, the local machining difficulty of each processing part is analyzed separately. For the optimization method of slotting the rotor pole: the slotting machining difficulty can be quantified through the slotting process and processing requirements. For example, the slotting position, accuracy, surface roughness, slot depth and slot width ratio, and slot shape can be determined through the slotting process and processing requirements, and the slotting machining difficulty is calculated based on these indicators. The greater the ratio of slot depth to slot width, the more difficult it is to make slots, because more precise tool path planning and higher machining accuracy are required; the more complex the shape of the slot, the more difficult it is to make slots. For example, the regularity of the shape can be analyzed by the degree of symmetry of the shape. Irregular-shaped slots are more difficult to process than regular-shaped slots, because more complex tool paths and higher machining skills are required. Optimization method for rotor pole edge shape: The difficulty of edge machining can be quantified through trimming technology and machining requirements. For example, the regularity of the expected adjustment shape of the rotor pole edge shape and the size of the area that needs to adjust the shape are calculated, and the difficulty of edge machining is calculated based on these indicators.

[0069] In one implementation, the motor equipment information includes equipment operation information, equipment accuracy, equipment loss, and equipment load, and the optimization method is determined based on the motor equipment information, the slotting processing difficulty, and the edge processing difficulty, including:

[0070] Calculate the influence of the induced voltage pulsation of the excitation winding on the motor performance according to the equipment operation information;

[0071] Determining a device application category according to the device accuracy, the device loss, and the device load;

[0072] The optimization method is determined according to the impact value, the equipment application category, the slotting processing difficulty and the edge processing difficulty.

[0073] Specifically, the first step is to analyze the magnitude of the impact value and determine whether to use one or two rotor structure optimization methods. The impact value of the induced voltage pulsation of the excitation winding on the motor performance can reflect the degree of suppression of the induced voltage pulsation of the excitation winding. If the impact value is less than the preset impact threshold, it means that the current induced voltage pulsation of the excitation winding is not serious, and one of the two rotor structure optimization methods is selected for execution; if the impact value is greater than or equal to the preset impact threshold, it means that the current induced voltage pulsation of the excitation winding is serious, and two rotor structure optimization methods can be used at the same time (it needs to be considered that the process is not difficult and the simulation experiment results meet expectations).

[0074] Step 2: If you choose to use an optimization method, analyze the equipment application category. If the equipment load is greater than the preset threshold and the equipment accuracy requirement is less than the preset accuracy threshold, the equipment application category is determined to be the first category, which is suitable for the rotor slot optimization method; if the equipment accuracy requirement is greater than or equal to the accuracy threshold, and the equipment loss is less than the preset loss threshold, the equipment application category is determined to be the second category, which is suitable for the rotor pole edge shape optimization method (the rotor pole edge shape can be obtained through multi-objective optimization simulation experiments).

[0075] Step 3: If the result of the second step is to select the rotor slotting optimization method, then determine whether the slotting processing difficulty is less than the preset slotting difficulty threshold. If the slotting processing difficulty is less than the slotting difficulty threshold, it means that the rotor slotting process is not difficult. The air gap magnetic permeability can be changed by adding auxiliary slots on the rotor poles, thereby suppressing the induced voltage pulsation of the excitation winding (when applied, it can be determined whether the optimization method is used by analyzing whether the simulation experiment results meet expectations, that is, whether the predicted optimization effect of the optimization method meets expectations); if the slotting processing difficulty is greater than or equal to the slotting difficulty threshold, it means that the rotor slotting process is difficult, then determine whether the edge processing difficulty is less than the preset trimming difficulty threshold. If the edge processing difficulty is less than the trimming difficulty threshold, it means that the process of changing the shape of the rotor pole edge is not difficult. The air gap magnetic permeability can be changed by changing the shape of the rotor pole edge, thereby suppressing the induced voltage pulsation of the excitation winding (when applied, it can be determined whether the simulation experiment results meet expectations, that is, whether the predicted optimization effect of the optimization method meets expectations). Similarly, if the result of the second step is to select the rotor pole edge shape optimization method, then determine whether the edge processing difficulty is less than the preset trimming difficulty threshold. If the edge processing difficulty is less than the trimming difficulty threshold, then select the rotor pole edge shape optimization method; if the edge processing difficulty is greater than or equal to the trimming difficulty threshold, then determine whether the slotting processing difficulty is less than the preset slotting difficulty threshold. If the slotting processing difficulty is less than the slotting difficulty threshold, then select the rotor pole slotting optimization method.

[0076] In another implementation, when the rotor is provided with structures such as windings or permanent magnets, which indicates that the rotor structure is complex, the method of optimizing the rotor structure is not used to suppress the pulsation of the induced voltage of the excitation winding.

[0077] Step S300: determining an optimization target based on the actual operating condition of the hybrid excitation flux switching motor, wherein the optimization target includes induced voltage pulsation and / or torque output.

[0078] Specifically, the harmonic order of the induced voltage pulsation of the motor excitation winding can be determined by the number of stator slots and rotor poles of the motor, and one or more evaluation indicators of the induced voltage pulsation (such as the peak-to-peak value of the induced voltage pulsation) and torque output (such as cogging torque) can be selected as optimization targets based on the actual operating conditions of the motor.

[0079] For example, for each optimization method, the waveform and data information of the induced voltage and torque of the excitation winding under different combinations can be obtained by the finite element analysis method. The induced voltage pulsation is taken as the main optimization target, and the torque output, manufacturing cost, etc. are taken as secondary optimization targets.

[0080] In one implementation, the indexes for measuring the induced voltage pulsation are the harmonic composition of the induced voltage and the peak-to-peak value of the induced voltage pulsation. It can be calculated by the following formula:

[0081] ;

[0082] In the formula, is the number of stator slots, is the number of rotor poles, LCM is the function for solving the least common multiple (LCM), is a natural number. According to the above calculation, the harmonic composition of the 12-slot 10-pole motor is , that is, harmonics that are multiples of 6.

[0083] Step S400: perform parametric modeling according to several design indicators related to the optimization method, and perform sensitivity analysis, and determine several target design indicators according to the sensitivity analysis results.

[0084] Specifically, different optimization methods are associated with different design indicators, and it is necessary to determine which design indicators to optimize based on the currently selected optimization method. After selecting the design indicators, in order to further improve the optimization effect, it is also necessary to perform sensitivity analysis on these design indicators to find out the design indicators that are closely related to the optimization target and have a significant impact, that is, to obtain the target design indicators.

[0085] In one implementation, the parametric modeling method includes:

[0086] Acquire a pre-established simulation model of the hybrid excitation flux switching motor;

[0087] The optimization variables are determined by the simulation model and the design indicators, and parameterized modeling is performed on the optimization variables.

[0088] Specifically, parametric modeling first requires the establishment of a simulation model. The model establishment process is as follows (the number of steps and the actual execution order may not correspond): Step 1. In the simulation environment, first draw the rotor core, permanent magnet and winding of the hybrid excitation flux switching motor, and draw the motion band (motion band) used to set the rotor's operating form, the outer region (outer region) used to fill the vacuum part of the stator, and the inner region (inner region) used to fill the vacuum part from the center of the motor to the edge of the rotor, and determine the solution area based on the outer region and the inner region. Step 2. Set the materials of all components, such as calling the software material library or manually adding materials. Step 3. Set the axis length, symmetry coefficient and solve the inductance. Step 4. Set the rotor motion form, such as the initial position and speed of the rotor. Step 5. Set the zero magnetic vector boundary and master-slave condition, such as the zero magnetic vector boundary is the boundary with an ideal magnetic field of 0, and the master-slave condition is the boundary with a pair of symmetrical and opposite magnetic fields. Step 6. Set the winding excitation and iron loss solution, such as setting the number of turns and current direction of each winding, adding them to different phases, and setting the excitation source of each phase. The seventh step is to set the finite element mesh subdivision, such as setting the type and size of the finite element mesh according to the selected optimization method or solution requirements. The eighth step is to set the solver, such as setting the solution time and step size to obtain a simulation model of the hybrid excitation flux switching motor. After the simulation model is established, the parameters involved in the design indicators are set as optimization variables, that is, the optimization variables of the simulation model are defined. Then determine the optimization target, such as the peak-to-peak value of the induced voltage ripple, the cogging torque, etc. Finally, the simulation algorithm is used to perform variable parameterization calculations based on the optimization variables to obtain the value of the optimization target under different parameters.

[0089] In one implementation, a motor body modeling and simulation software can be used to establish a simulation model of the motor. The software's built-in rapid modeling function can be used, and the software's built-in curve, surface drawing, Boolean operation, rotation copy and other functions can also be used to draw the motor's stator and rotor cores, permanent magnets and windings.

[0090] In one implementation, the sensitivity analysis method:

[0091] Generating sensitivity analysis variables according to each of the design indicators, and generating sensitivity analysis targets according to the optimization target;

[0092] Calculating a sensitivity correlation coefficient matrix according to the sensitivity analysis variables and the sensitivity analysis targets;

[0093] A number of target design indicators are determined according to the sensitivity correlation coefficient matrix.

[0094] Specifically, the present embodiment adopts design indicators to set sensitivity analysis variables, and adopts optimization targets to set sensitivity analysis targets. The target design indicators that have a significant impact on the optimization target are selected through sensitivity analysis. The key process of sensitivity analysis is to calculate the sensitivity correlation coefficient matrix. For each design indicator, the correlation coefficient between it and all optimization targets is calculated, and these correlation coefficients reflect the degree of influence of the change of design indicators on the optimization target. In the present embodiment, the correlation coefficient between each design indicator and all optimization targets is defined as the first correlation coefficient. At the same time, for each optimization target, the correlation coefficient between it and all design indicators is calculated, and these correlation coefficients reflect the degree to which the optimization target is affected by the change of design indicators. In the present embodiment, the correlation coefficient between each optimization target and all design indicators is defined as the second correlation coefficient. The first correlation coefficient and the second correlation coefficient are combined into a matrix, that is, the sensitivity correlation coefficient matrix is ​​obtained, which comprehensively describes the correlation relationship between the design indicator and the optimization target. Then the sensitivity correlation coefficient matrix is ​​analyzed to find the design indicators that are closely related to the optimization target and have a significant impact, that is, the target design indicator is obtained.

[0095] For example, the motor parameter sensitivity analysis process is:

[0096] 1. Set the sensitivity analysis variables to be the same as the design indicators;

[0097] 2. Set the sensitivity analysis target, which is the same as the optimization target;

[0098] 3. Sampling method setting;

[0099] 4. Solution settings and calculations: Set the software's parallel computing number and other indicators, which are generally related to the number of computer cores;

[0100] 5. View sensitivity analysis results: Through the preset sensitivity analysis algorithm, according to the sensitivity analysis variables and sensitivity analysis targets, output the sensitivity correlation coefficient matrix, the correlation coefficients between the design index parameters and all targets, and the correlation coefficients between each optimization target and all design index parameters.

[0101] 6. Based on the results of sensitivity analysis, select one or more design index parameters that have a significant impact on the optimization objective.

[0102] In one implementation, the optimization priority of each target design indicator in the optimization process can be set according to the sensitivity analysis results corresponding to each target design indicator, so as to focus on optimizing the design indicators that have a greater impact on the optimization target.

[0103] Step S500: performing multi-objective optimization according to each of the target design indicators and the optimization objectives to obtain the optimal value corresponding to each of the target design indicators.

[0104] Specifically, this embodiment can construct an objective function for each optimization target to quantify the degree of achievement of the optimization target. Constraints are generated according to the actual design requirements and process limitations of each target design indicator to ensure that the optimization solution is within the feasible domain. Finally, the variable value of each target design indicator is adjusted in combination with the preset multi-objective optimization algorithm, objective function and constraint conditions to obtain the optimal value of each target design indicator, thereby effectively suppressing the induced voltage pulsation.

[0105] In one implementation, when the optimization method includes setting auxiliary slots on rotor poles, the target design index includes the slot width, slot depth and slot position of the selected rotor pole to be slotted, and the multi-objective optimization is performed according to each of the target design indexes and the optimization target to obtain the optimal value corresponding to each of the target design indexes, including:

[0106] Determine the parameter ranges corresponding to the slot width, slot depth and slot position respectively according to the structural parameter information of the hybrid excitation flux switching motor;

[0107] The optimal values ​​corresponding to the slot width, slot depth and slotting position are calculated according to the optimization target and the parameter ranges through a preset optimization algorithm.

[0108] Specifically, the design indicators related to the rotor slot optimization method include slot width, slot depth and slot position. The parameter ranges corresponding to the slot width, slot depth and slot position are determined according to the structural parameter information of the hybrid excitation flux switching motor, that is, the constraint conditions to be solved are obtained. Then, the optimal values ​​corresponding to the slot width, slot depth and slot position are solved according to the optimization objectives and constraint conditions through a preset optimization algorithm (such as an evolutionary algorithm or a particle swarm algorithm).

[0109] For example, by introducing auxiliary slots to the stator or rotor side, the relative length of the air gap can be changed, thereby changing the magnetic permeability of the air gap. Taking the motor rotor composed of a pure iron core as an example, since its structure is simple and does not contain any other excitation components, it is possible to choose to open auxiliary slots on the rotor. Although the more auxiliary slots there are, the better the suppression effect on the induced voltage pulsation, the increase in auxiliary slots will reduce the output torque to a certain extent. In order to suppress the induced voltage pulsation without causing a significant drop in the output torque, this embodiment chooses to open an auxiliary slot on each pole of the rotor.

[0110] like Figure 3 As shown, select the slot width , Groove depth and slot position As a design indicator, a reasonable slot width is designed according to the motor structure parameters. , Groove depth and slot position The above targets are scanned and searched by Ansys Maxwell software, and the parameters are selected and optimized by finite element analysis method. By comparing various design indicators, the optimal design parameters obtained by simulation are: , , .like Figure 4 , Figure 5 , Figure 6 As shown in the figure, under this set of parameters, the 6th and 12th harmonics of the induced voltage are effectively suppressed. At the same time, the torque ripple is reduced by 24.7% while the average torque is only reduced by 6.4%.

[0111] In another implementation, when the optimization method includes setting auxiliary slots on the rotor poles, the target design index includes parameters such as the shape, number, position, and size of the auxiliary slots, wherein the shape, number, position, and size of the auxiliary slots can be obtained based on a simulation experiment of multi-objective optimization. Specifically, the above parameters are respectively parameterized and modeled and analyzed for sensitivity by a multi-objective optimization method, different optimization targets are set according to different working conditions, and the parameter values ​​such as the auxiliary slot shape, number, position, and size with the best optimization effect are selected.

[0112] In one implementation, when the optimization method includes changing the shape of the rotor pole edge, the target design index includes the arc radius of the selected rotor pole to be trimmed, and the distance value between the rotor center and the center of the circle corresponding to the arc, and the multi-objective optimization is performed according to each of the target design indicators and the optimization target to obtain the optimal value corresponding to each of the target design indicators, including:

[0113] The optimal value of the arc radius and the optimal distance between the rotor center and the center of the circle corresponding to the arc are calculated according to the optimization target through a preset optimization algorithm.

[0114] Specifically, the design indicators related to the rotor pole shape optimization method include the arc radius of the rotor pole and the distance value between the rotor center and the center of the circle corresponding to the arc. A preset optimization algorithm (such as an evolutionary algorithm or a particle swarm algorithm) can be used to solve the optimal value of the arc radius of the rotor pole and the optimal distance value between the rotor center and the center of the circle corresponding to the arc according to the optimization objective.

[0115] For example, this embodiment can also suppress the induced voltage pulsation by changing the shape of the rotor pole edge. Figure 7 As shown, select the arc radius and rotor center With arc center The distance is taken as the target design indicator. The above targets are scanned and searched by Ansys Maxwell software, and the parameters are selected and optimized according to the results of finite element analysis. By comparing various indicators, the simulation shows that when the air gap is the shortest and the distance remains unchanged, the optimal arc radius is: .like Figure 8 and Fig. 9 As shown in the figure, under this parameter, the peak-to-peak value of the induced voltage ripple is reduced by 66.2% and the torque ripple is reduced by 58.7%.

[0116] In another implementation, the rotor pole edge may be changed to other shapes besides the arc shape, such as a wave shape, a sawtooth shape or other irregular shapes.

[0117] In one implementation, the results of multi-objective optimization are presented using a scatter distribution graph, and the attribute information of each point in the scatter distribution graph includes the optimization target value, calculation result value and input parameter value of the point; the optimal value of each target design indicator is determined based on the scatter distribution graph.

[0118] Specifically, both the rotor slot optimization method and the rotor pole edge shape optimization method can use the finite element analysis algorithm to achieve multi-objective optimization. The optimization results are presented in a scatter plot, and the attribute information of each point in the figure includes the optimization target value of the point, the calculation result target value, and the input parameter value. Finally, by analyzing the scatter plot, a set of design index values ​​suitable for the optimization target is selected.

[0119] The technical effect of the present invention proves that:

[0120] The present invention verifies through simulation experiments that the topological structure of the motor is the key factor affecting the induced voltage pulsation, and the change in air gap permeability caused by the rotation of the rotor is the main reason for the induced voltage pulsation. In the simulation experiment, five hybrid excitation flux switching motors including the aforementioned motor were selected for simulation derivation. The experiments can be divided into three categories: the no-load condition with permanent magnets, or constant DC excitation windings, or both as excitation; the condition where the permanent magnets and excitation windings are removed and only the armature winding is connected to three-phase AC; and the loaded condition when there are permanent magnets, excitation windings and armature windings at the same time. In these three cases, experiments were conducted on five motors respectively to detect the peak-to-peak value and harmonic wave composition of the induced voltage pulsation of the excitation windings in different cases and in different motors, thereby verifying that the basic idea of ​​the present invention is universal.

[0121] For the hybrid excitation flux switching motor with permanent magnets, field windings and armature windings on the stator, the E-type stator motor has the worst performance due to its dense harmonic order and large low-order harmonic amplitude, the peak-to-peak value of the induced voltage pulsation and the total proportion of the induced voltage pulsation. The simulation results of this group are summarized in Table 2 below. Among them, * Motor 3 is the research object of the present invention.

[0122] Table 2. Harmonic orders and DC induced voltage ripple peak-to-peak values ​​for different motors

[0123]

[0124] Although the goal of the present invention is to suppress the induced voltage pulsation of the motor DC excitation winding, while suppressing it, the influence of the change of the motor structure on other main parameters including cogging torque, torque ripple and average torque should also be considered. The final design parameters of the present invention are obtained on the basis of giving priority to suppressing the induced voltage pulsation and taking into account the torque factor. The specific experimental data of the two optimization methods are shown in Table 3.

[0125] Table 3 Experimental performance of different optimization methods

[0126]

[0127] From the data in Table 3, it can be seen that the rotor slotting method can reduce the induced voltage pulsation to a greater extent and obtain a relatively high output torque, but this method cannot significantly reduce the torque ripple and cogging torque. Therefore, the rotor slotting method is more suitable for occasions that require large loads and do not require high precision. For example, in industrial production, a large amount of raw materials and finished products need to be transported, processed and handled, and large-load motors are often used to drive conveyor belts, mixers, and crushers; on ships, equipment usually needs to withstand the heavy loads and vibrations of the marine environment, and large-load motors are often used in the ship's main propulsion system, shipboard cranes, and ship ventilation systems; in mining and quarries, large equipment is needed to dig, transport and process large amounts of ores and rocks, and large-load motors are often used to drive excavators, trucks, and conveyor belts; in railways and rail transit systems, large-load motors are often used in traction systems and auxiliary equipment for various types of vehicles; in construction sites and heavy machinery fields, large-load motors are needed to drive various heavy machinery and equipment, and large-load motors are often used in cranes, concrete mixers, and road rollers; in the energy industry, such as power stations and hydroelectric power plants, large-load motors are needed to drive generators, water pumps, and wind turbines.

[0128] From the data in Table 3, it can be seen that although the rotor pole edge shape optimization method cannot reduce the induced voltage pulsation to a greater extent like rotor slotting, and the output average torque is relatively reduced, this method can better suppress torque ripple and cogging torque, and the motor loss is relatively smaller. Therefore, the rotor pole edge shape optimization is more suitable for high-precision or low-loss occasions. For example, high-precision working conditions: in the precision manufacturing industry, high-precision motors are often used in manufacturing equipment that requires high-precision positioning and motion control, such as semiconductor manufacturing equipment, lithography machines, laser processing equipment, etc.; in the medical field, high-precision motors are often used in surgical robots, imaging equipment, experimental instruments and other equipment that require precise control; in the aerospace field, high-precision motors are needed to control various movements of spacecraft and aircraft, such as navigation, positioning, attitude control, etc.; in the field of robotics, high-precision motors are often used for precise motion control and position positioning. Low-loss working conditions: In the field of energy conservation and environmental protection, low-loss motors are often used in equipment that requires high efficiency and low energy consumption, such as energy-saving home appliances, green transportation, etc.; in the field of renewable energy such as wind power generation and solar power generation, low-loss motors can improve power generation efficiency and reduce energy loss; in automated production lines, low-loss motors can reduce energy consumption and improve production efficiency, and are widely used in conveying equipment, handling equipment, etc.

[0129] Based on the above embodiment, the present invention further provides a terminal, whose principle block diagram can be shown as follows: Fig.10As shown. The terminal includes a processor, a memory, a network interface, and a display screen connected via a system bus. Among them, the processor of the terminal is used to provide computing and control capabilities. The memory of the terminal includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the terminal is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a method for optimizing the induced voltage of a hybrid excitation flux switching motor is implemented. The display screen of the terminal can be a liquid crystal display screen or an electronic ink display screen.

[0130] Those skilled in the art will understand that Fig.10 The principle block diagram shown in the figure is only a block diagram of a partial structure related to the scheme of the present invention, and does not constitute a limitation on the terminal to which the scheme of the present invention is applied. The specific terminal may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0131] In one implementation, the terminal has one or more programs stored in its memory and is configured to be executed by one or more processors. The one or more programs include instructions for performing a hybrid excitation flux switching motor induction voltage optimization method.

[0132] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided by the present invention can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0133] In summary, the present invention discloses a hybrid excitation flux switching motor induced voltage optimization method, terminal and medium. The method determines the hybrid excitation flux switching motor to be optimized; performs a machining process analysis on the rotor of the hybrid excitation flux switching motor, and determines the optimization method according to the machining process analysis results, wherein the optimization method includes setting auxiliary slots on the rotor poles and / or changing the rotor pole edge shape; determines the optimization target according to the actual working conditions of the hybrid excitation flux switching motor, wherein the optimization target includes induced voltage pulsation and / or torque output; performs parameterized modeling according to several design indicators related to the optimization method, and performs sensitivity analysis, and determines several target design indicators according to the sensitivity analysis results; performs multi-objective optimization according to each of the target design indicators and the optimization target, and obtains the optimal values ​​corresponding to each of the target design indicators. The present invention discloses two methods for optimizing the rotor structure of the hybrid excitation flux switching motor, which change the motor topology through the rotor structure, thereby affecting the air gap magnetic permeability, and finally achieves the purpose of suppressing the induced voltage pulsation of the DC excitation winding. The present invention has high feasibility and is easy to operate, and can achieve a balance between weakening the induced voltage pulsation of the excitation winding and maintaining a higher output torque, while reducing torque pulsation and iron loss, and effectively improving motor performance.

[0134] It should be understood that the application of the present invention is not limited to the above examples. For ordinary technicians in this field, improvements or changes can be made based on the above description. All these improvements and changes should fall within the scope of protection of the claims attached to the present invention.

Claims

1. A method for optimizing the induced voltage of a hybrid excitation flux switching motor, characterized in that: The method comprises: Determining a hybrid excitation flux switching motor to be optimized; Performing a machining process analysis on the rotor of the hybrid excitation flux switching motor, and determining an optimization method based on the machining process analysis result, wherein the optimization method includes providing auxiliary slots on the rotor poles and / or changing the shape of the rotor pole edges; Determining an optimization target according to the actual working condition of the hybrid excitation flux switching motor, wherein the optimization target includes induced voltage pulsation and / or torque output; Performing parametric modeling according to several design indicators related to the optimization method, and performing sensitivity analysis, and determining several target design indicators according to the sensitivity analysis results; Perform multi-objective optimization according to each of the target design indicators and the optimization target to obtain the optimal value corresponding to each of the target design indicators; The step of performing a machining process analysis on the rotor of the hybrid excitation flux switching motor and determining an optimization method according to the machining process analysis result includes: Analyze the difficulty of slotting and edge processing based on the rotor's structural information, slotting process information, and edge process information; The optimization method is determined based on the motor equipment information, the slotting processing difficulty and the edge processing difficulty.

2. The method for optimizing the induction voltage of a hybrid excitation flux switching motor according to claim 1, characterized in that: The analysis of the difficulty of slotting and edge processing based on the rotor structure information, slotting process information and edge process information includes: Acquire structural information and material information of the rotor according to the construction information, and determine the general processing difficulty according to the structural information and the material information; Determine the slotting difficulty according to the slotting process information, and determine the slotting processing difficulty according to the slotting difficulty and the general processing difficulty; The trimming difficulty is determined according to the edge process information, and the edge processing difficulty is determined according to the trimming difficulty and the general processing difficulty.

3. The method for optimizing the induction voltage of a hybrid excitation flux switching motor according to claim 1, characterized in that: Parametric modeling methods include: Acquire a pre-established simulation model of the hybrid excitation flux switching motor; The optimization variables are determined by the simulation model and the design indicators, and parameterized modeling is performed on the optimization variables.

4. The method for optimizing the induction voltage of a hybrid excitation flux switching motor according to claim 1, characterized in that: Sensitivity analysis method: Generating sensitivity analysis variables according to each of the design indicators, and generating sensitivity analysis targets according to the optimization target; Calculating a sensitivity correlation coefficient matrix according to the sensitivity analysis variables and the sensitivity analysis targets; A number of target design indicators are determined according to the sensitivity correlation coefficient matrix.

5. The method for optimizing the induction voltage of a hybrid excitation flux switching motor according to claim 1, characterized in that: When the optimization method includes setting auxiliary slots on the rotor poles, the target design indicators include the slot width, slot depth and slot position of the selected rotor pole to be slotted, and the multi-objective optimization is performed according to each of the target design indicators and the optimization target to obtain the optimal value corresponding to each of the target design indicators, including: Determine the parameter ranges corresponding to the slot width, slot depth and slot position respectively according to the structural parameter information of the hybrid excitation flux switching motor; The optimal values ​​corresponding to the slot width, slot depth and slotting position are calculated according to the optimization target and the parameter ranges through a preset optimization algorithm.

6. The method for optimizing the induction voltage of a hybrid excitation flux switching motor according to claim 1, characterized in that: When the optimization method includes changing the shape of the rotor pole edge, the target design index includes the arc radius of the selected rotor pole to be trimmed, and the distance between the rotor center and the center of the circle corresponding to the arc, and the multi-objective optimization is performed according to each of the target design indexes and the optimization target to obtain the optimal value corresponding to each of the target design indexes, including: The optimal value of the arc radius and the optimal distance between the rotor center and the center of the circle corresponding to the arc are calculated according to the optimization target through a preset optimization algorithm.

7. The method for optimizing the induction voltage of a hybrid excitation flux switching motor according to claim 5 or 6, characterized in that: The result of multi-objective optimization is presented in a scatter distribution diagram, and the attribute information of each point in the scatter distribution diagram includes the optimization target value, calculation result value and input parameter value of the point; The optimal value of each of the target design indicators is determined according to the scatter point distribution diagram.

8. A terminal, characterized in that: The terminal includes a memory and one or more processors; the memory stores one or more programs; the program contains instructions for executing the hybrid excitation flux switching motor induced voltage optimization method as described in any one of claims 1-7; and the processor is used to execute the program.

9. A computer-readable storage medium having a plurality of instructions stored thereon, characterized in that: The instructions are suitable for being loaded and executed by a processor to implement the steps of the hybrid excitation flux switching motor induced voltage optimization method described in any one of claims 1-7.

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