Dual three-phase uneven-tooth permanent magnet direct-driven generator for vertical axis fan

Abstract

The invention relates to the field of new energy power generation, and provides a dual three-phase non-uniform tooth permanent magnet direct drive generator for a vertical axis fan. The dual three-phase non-uniform tooth permanent magnet direct drive generator is composed of a stator and a rotor. The stator comprises an iron core and annular concentrated windings, modulation teeth which are unevenly distributed are arranged on the iron core, deflection angles exist between the modulation teeth and the stator teeth, the number of the windings, the number of the stator teeth and the number of the modulation teeth are the same, and the windings form two sets of three-phase windings to achieve multi-mode operation capacity; the rotor is composed of a magnetic bridge, rotor iron cores and tangential excitation permanent magnets, wherein the rotor iron cores and the tangential excitation permanent magnets are the same in number. The magnetic bridge is connected with half of the iron cores. According to the multi-objective optimization strategy, the optimal parameters of the motor can be efficiently calculated according to the priority of the optimization objective by combining the entropy weight superior and inferior solution distance and the black-wing plinergic algorithm. The operation efficiency and control flexibility of new energy wind power generation are improved, and the method has good engineering application prospects.

Description

Technical Field

[0001] The present invention relates to the technical field of motors, and in particular to a dual three-phase uneven-tooth permanent magnet direct-drive generator for a vertical-axis fan. Background Art

[0002] Permanent magnet vernier motor is a new hot spot in the development of motor technology in recent years. It is developed on the basis of permanent magnet synchronous motor combined with magnetic field modulation effect. It has the characteristics of low speed and high torque and is widely used in direct-drive wind turbines, heavy-load electric traction systems and other fields.

[0003] The modulation teeth of the traditional permanent magnet vernier motor are evenly distributed in the circumferential direction, and the magnetic flux synchronization of the stator teeth wound by the same-phase winding is poor, which leads to a decrease in the synthetic potential. In addition, when used in the field of direct-drive wind turbines, the motor speed is greatly affected by the ambient wind speed. In order to further develop the potential of permanent magnet vernier generators, the present invention proposes a new stator structure, which adopts unevenly distributed modulation teeth, reduces the phase difference in the same-phase winding, increases the amplitude of the motor's no-load back electromotive force, and uses uneven teeth to realize a dual three-phase winding with adjustable electrical angle difference. The dual three-phase winding can generate a variety of different rated working powers by combining two-phase windings, and can be well applied in the field of small direct-drive wind turbines.

[0004] On this basis, this patent proposes a dual three-phase uneven-tooth permanent magnet direct-drive generator for vertical axis wind turbines and its multi-objective optimization algorithm to standardize the rapid design of uneven-tooth motors. And a multi-objective weighted proxy optimization algorithm based on the combination of the entropy weighted superior-inferior solution distance method and the black-winged kite algorithm is proposed, which can more objectively calculate the weight coefficient of the optimization target and reflect it in the proxy model of the motor. The weighted proxy model can grade the importance of the optimization target and optimize the more important targets. Combined with the intelligent algorithm, it can efficiently perform global multi-objective optimization of the motor, which has good engineering application value. Summary of the invention

[0005] The present invention aims to solve one of the technical problems in the related art at least to a certain extent.

[0006] To this end, the present invention proposes a new stator structure, which adopts unevenly distributed modulated teeth, improves the electromagnetic synchronization on the stator teeth, increases the no-load back-EMF amplitude of the motor, and uses dual three-phase windings combined with multi-mode working principles to achieve the function of stabilizing the speed of the motor under different environmental wind speeds without the help of mechanical devices. In addition, this paper proposes an optimization design method for uneven tooth vernier motors, which can efficiently design and optimize such motors.

[0007] To achieve the above object, the technical solution of the present invention is as follows:

[0008] A dual three-phase uneven-tooth permanent magnet direct-drive generator for a vertical axis wind turbine. The dual three-phase uneven-tooth permanent magnet direct-drive generator for a vertical axis wind turbine specifically includes: a stator and a rotor, wherein the stator is sleeved in the rotor; the stator includes a stator core and a stator winding, wherein the stator core is provided with a stator yoke, stator teeth and unevenly distributed modulation teeth, wherein the modulation teeth are connected to the stator yoke through the stator teeth, and the modulation teeth and the stator teeth have a certain deflection angle in the radial direction, and the stator winding is an annular concentrated winding wound on the stator teeth, wherein the number of stator teeth, modulation teeth and stator winding is the same; the rotor part includes a magnetic bridge, a rotor core and a permanent magnet, and the magnetic bridge connects the rotor core.

[0009] An advanced multi-objective optimization algorithm that innovatively combines the advantages of the entropy weighted good-bad solution distance method and the Black Kite algorithm. Specifically, the entropy weighted good-bad solution distance method is used to accurately calculate the optimization weights of each optimization objective in the proxy model, thereby achieving hierarchical optimization processing of the optimization objectives. On this basis, the proxy model can efficiently calculate the mapping function of the motor using the sample set data. Furthermore, by introducing the Black Kite algorithm, the algorithm can efficiently obtain the optimal parameters of the motor. This combination not only improves the efficiency of the optimization process, but also enhances the accuracy and robustness of the algorithm when dealing with complex multi-objective optimization problems.

[0010] Furthermore, the width of the stator teeth is different from the width of the modulation teeth, the stator teeth are wider than the modulation teeth, and the number of the modulation teeth is the same as that of the stator teeth.

[0011] Furthermore, the unevenly modulated teeth are non-uniformly distributed in the circumferential direction, but follow a specific distribution law. Specifically, taking the teeth on the same phase winding as a group, the spacing between the two teeth in each group remains consistent, and this distance is the same in all groups. However, the distance between different groups, that is, between two adjacent groups of unevenly modulated teeth is not fixed. For the sake of convenience, we mark these windings as ABC and abc. In the dual three-phase winding structure, the tooth group spacing between corresponding phases, such as A and a, B and b, and C and c, is constant. The concept of "uneven coefficient" is introduced in this patent to describe this special layout. In view of the fact that there are two different types of spacing arrangements, two different uneven coefficients are defined to distinguish them: c1 represents the spacing between two teeth in a group of teeth, reflecting the improvement of the performance of the generator by uneven teeth; c2 represents the spacing between tooth groups, representing the expansion of the working range of the generator by uneven teeth, and is specifically defined as:

[0012]

[0013] Among them, among them, θ t is the modulation tooth angle, p r is the number of permanent magnet pole pairs of the motor, N st is the number of stator teeth of the motor, θg is the angle between adjacent modulation tooth groups.

[0014] Furthermore, the concentrated winding constitutes a dual three-phase winding structure. By changing the series-parallel configuration between the two sets of three-phase windings, the motor working mode can be adjusted. In order to unify the expression of directionality, this article stipulates that the direction in which the winding generates the electromotive force is the positive direction. Based on this definition, different power outputs of the motor can be achieved in the following five ways: Aa winding parallel connection, Aa forward series connection, Ab reverse series connection, Ac forward series connection, and Ac reverse series connection. These different connection methods enable the motor to present five series working modes with different power characteristics. It is worth noting that each specific working mode has its most suitable operating wind speed range. Therefore, flexibly switching the working state of the motor according to the specific needs in actual applications can ensure efficient and stable energy conversion under more diverse environmental conditions.

[0015] Furthermore, the stator core is formed by axially stacking silicon steel sheets of the same shape.

[0016] Furthermore, the rotor permanent magnets are magnetized along the circumferential tangential direction, the widths of all permanent magnets are kept consistent, and the magnetic poles of the permanent magnets are installed opposite to each other. A rotor core is sandwiched between adjacent permanent magnets.

[0017] Furthermore, the number of the rotor cores is consistent with the number of permanent magnets, and the widths of all the rotor cores are also consistent.

[0018] Furthermore, the permanent magnets are installed in multiple sections in the axial direction, and the magnetization directions of the permanent magnets in the same slot are consistent.

[0019] Furthermore, the rotor core is the actual magnetic pole of the motor, and the magnetic field generated by the tangentially magnetized permanent magnet passes through the rotor core, the air gap, the modulation teeth, and the stator teeth in sequence.

[0020] Furthermore, the magnetic bridge structure is used to connect the rotor core. Specifically, the structure is realized by connecting all the rotor cores arranged at intervals, wherein half of the rotor cores in the circumferential direction are all connected to one magnetic bridge, while the other half remain unconnected. In addition, the width of the connection part is consistent with the width of the core.

[0021] Furthermore, the modulation teeth and the rotor permanent magnets have a certain quantitative matching relationship, that is, p g =|p r -N st |, where p g is the number of winding pole pairs, p r is the number of permanent magnet pole pairs, N stis the number of stator teeth. For the dual three-phase uneven-tooth permanent magnet direct-drive generator proposed in this patent, the number of stator teeth should be an integer multiple of 12.

[0022] Furthermore, the entropy weighted good and bad solution distance method is a decision analysis method. The score of each parameter is obtained by calculating the distance between the ideal solution in the data set and the current data solution. In the calculation process of the entropy weighted good and bad solution distance method, the optimization weight of each optimization parameter for each optimization target and the sensitivity of each optimization parameter are obtained. The proxy model weight is obtained by comprehensively considering the sensitivity and optimization weight. The formula is:

[0023]

[0024] in, Represents i th Optimizing variable j th The weight of the optimization target, G(x i ) represents the comprehensive sensitivity of the optimization parameters.

[0025] Furthermore, the proxy model is a method for model curve fitting based on a data set. The data set is derived from the calculation results of the finite element model. After fitting through the proxy model, a polynomial equation is obtained. This equation is used as a mapping function between optimization parameters and optimization variables. When applied to motors, it is necessary to calculate the corresponding proxy model for each specific optimization target separately. Subsequently, the entropy weighted solution distance method is used to evaluate and weight the weights of each target, and finally a comprehensive optimization proxy model is formed.

[0026] Furthermore, the black kite algorithm is a meta-heuristic algorithm. The algorithm uses two unique iterative calculation methods for the optimization process: "aggressive behavior" iteration and "migratory behavior" iteration. These two iterative calculation methods are performed alternately within the given optimization parameter range, aiming to find the optimal combination of motor parameters through continuous search and adjustment. Specifically, the "aggressive behavior" iteration mainly simulates the behavior pattern of black kites when hunting, and fine-tunes the current solution through a local search strategy, in order to quickly approach the optimal solution within a small range; while the "migratory behavior" iteration imitates the seasonal migration process of black kites, and explores a wider solution space through a global search strategy to avoid falling into the local optimum and find the global optimal solution. These two iterative methods complement each other and work together in the optimization process to improve the algorithm's search efficiency and the quality of the solution. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 This is the prototype structure of the generator according to Example 1 of the present invention.

[0028] Figure 2 This is the motor body structure of embodiment 1 of the present invention.

[0029] Figure 3 This is a front view of the motor body of embodiment 1 of the present invention

[0030] Figure 4 This is the stator core structure of Example 1 of the present invention.

[0031] Figure 5 This is the rotor structure of Example 1 of the present invention.

[0032] Figure 6 This is the Aa forward series connection mode of the first embodiment of the present invention.

[0033] Figure 7 This is the Ab reverse series mode of Example 1 of the present invention.

[0034] Figure 8 This is the Ac forward series connection mode of Example 1 of the present invention.

[0035] Fig. 9 This is the Ac reverse series mode of Example 1 of the present invention.

[0036] Fig.10 This is the Aa parallel mode of embodiment 1 of the present invention.

[0037] Fig.11 This is a multi-objective optimization flow chart of Example 1 of the present invention.

[0038] List of Figure Symbols:

[0039] 1. Prototype rotor cover; 2. Prototype rotor cover inner bearing support bearing; 3. Stator cover bearing support bearing; 4. Dual three-phase uneven tooth permanent magnet direct drive generator body mentioned in this patent; 41. Stator winding; 42. Stator core; 421. Modulation teeth; 422. Stator teeth; 43. Permanent magnet; 44. Insert; 45. Rotor body; 451. Rotor core; 452. Magnetic bridge; 5. Motor housing; 6. Stator bearing cover plate; 7. Stator bearing; 8. Stator cover; DETAILED DESCRIPTION

[0040] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0041] The following describes a dual three-phase uneven-tooth permanent magnet direct-drive generator according to an embodiment of the present invention in conjunction with the accompanying drawings.

[0042] like Figure 1The figure shows a prototype structure of Example 1 of the present invention, which is an outer rotor shaft structure designed to facilitate the experiment of motor performance, and includes: a prototype rotor cover with shafts on both sides, the shaft on one side is used to transmit the torque of the drive motor, and the shaft on the other side is used to stabilize the motor as a whole and support the stator; the prototype rotor cover inner bearing support bearing and the stator cover bearing support bearing, which are used to support the rotor cover inner shaft and the stator cover shaft; a dual three-phase uneven tooth permanent magnet direct-drive generator body; a motor housing, a component that rotates with the outer rotor; a stator bearing cover plate, which is responsible for protecting the stator bearing and limiting it; a stator bearing, which is responsible for supporting the stator cover and the motor housing; a stator cover, which leads out the winding wires to facilitate the fixing of the motor.

[0043] Specifically, the main body of the dual three-phase uneven tooth permanent magnet direct drive generator is as follows Figure 2 , Figure 3 As shown, the stator includes a stator core and a stator winding.

[0044] The stator core has a stator yoke, stator teeth and unevenly distributed modulation teeth. The modulation teeth are connected to the stator yoke through the stator teeth, and the modulation teeth and the stator teeth have a certain deflection angle in the radial direction, such as Figure 4 As shown. The stator tooth width is different from the modulation tooth width. The stator teeth are wider than the modulation teeth. The number of modulation teeth is the same as that of stator teeth. The uneven modulation teeth are unevenly distributed in the circumferential direction, but are distributed according to a certain distribution rule. The teeth on the same phase winding are grouped together. The spacing between the two teeth in the same group is fixed, and each group is the same, while the spacing between the two groups is not fixed. For the convenience of explanation, the windings are divided into ABC and abc. In the double three-phase winding, the spacing between the tooth groups of the two corresponding phases, i.e., Aa, Bb and Cc, is fixed. This patent defines it as an uneven coefficient. Since there are two spacing distributions, two uneven coefficients are defined: c1 represents the spacing between the two teeth in a group of teeth, reflecting the improvement of the generator performance by uneven teeth; c2 represents the spacing between tooth groups, representing the expansion of the working range of the generator by uneven teeth. The specific definition is:

[0045]

[0046] Among them, among them, θ t is the modulation tooth angle, p r is the number of permanent magnet pole pairs of the motor, N st is the number of stator teeth of the motor, θ g is the angle between adjacent modulation tooth groups.

[0047] c1 and c2 have different functions. The former is used to describe the improvement of the rated performance of the motor, while the latter is used to describe the expansion of the multi-mode operating range. The stator core is made of laminated silicon steel sheets.

[0048] The stator winding is a ring-shaped concentrated winding wound on the stator teeth. The number of stator teeth, modulation teeth and stator windings is the same. The concentrated winding constitutes a dual three-phase winding structure. The motor working mode is adjusted by changing the series-parallel mode of the dual three-phase windings. The direction of the electromotive force generated by the winding is stipulated as the positive direction, and Aa is connected in forward series, Ab in reverse series, Ac in forward series, Ac in reverse series and Aa in parallel to achieve 5 series working modes with different powers of the motor. Each working mode corresponds to its optimal operating wind speed range. Therefore, adjusting the motor's operating mode according to actual needs can achieve the purpose of maintaining efficient power generation under a wider range of conditions. Such as Figure 6 The figure shows Aa in forward series connection. Figure 7 The figure shows Ab reverse series connection. Figure 8 The figure shows the forward series connection of Ac. Fig. 9 The figure shows that Ac is connected in reverse series. Fig.10 Aa is shown in parallel.

[0049] The rotor part includes the rotor body, inserts and permanent magnets. The inserts provide mechanical support for the rotor core in the rotor body. Figure 5 As shown, the magnetic bridge connects the rotor cores; the rotor permanent magnets are magnetized along the circumferential tangential direction, all permanent magnets have the same width, the permanent magnet poles are installed oppositely, and the rotor cores are sandwiched between adjacent permanent magnets. The number of rotor cores is the same as the permanent magnets, and the width of all rotor cores is the same. The magnetic bridge structure connects the rotor cores, and the connection method is to connect all the spaced rotor cores together, half of the rotor cores in the circumferential direction are all connected to one magnetic bridge, and the other half are not connected, and the width of the connecting part is consistent with the width of the core.

[0050] It should be noted that the modulation teeth and the rotor permanent magnets have a certain quantitative matching relationship, that is, p g =|p r -N st |, where p g is the number of winding pole pairs, p r is the number of permanent magnet pole pairs, N st is the number of stator teeth. For the dual three-phase unequal-tooth permanent magnet direct-drive generator proposed in this patent, the number of stator teeth should be an integer multiple of 12. The number of stator teeth in Example 1 of this patent is 24, the number of permanent magnet pole pairs is 19 pairs of poles, and there are 38 permanent magnets.

[0051] like Fig.11The figure shows a multi-objective optimization flow chart of Example 1 of the present invention, in which the entropy weighted superior and inferior solution distance method calculates the sensitivity of the optimization parameters and the optimization weights of the optimization targets of each optimization parameter. Further, the optimization weights and sensitivities are considered to obtain the comprehensive weights of each optimization parameter. Next, in the traditional proxy model, the comprehensive weights are considered so that the optimization effects of the optimization targets with higher weights are better. Finally, the Black Kite algorithm is used to perform multi-objective optimization on the proxy model. There are two different matrix iteration algorithms in the optimization process, namely "attack mode" iteration and "migration mode" iteration. The alternating use of the two iteration methods can effectively prevent the matrix from falling into the local optimal solution, while improving the computational efficiency.

[0052] It should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the embodiments, a person skilled in the art should understand that the specific implementation methods of the present invention can still be modified or some technical features can be replaced by equivalents without departing from the spirit of the technical solution of the present invention, which should all be included in the scope of the technical solution for protection of the present invention.

Claims

1. A dual three-phase uneven-tooth permanent magnet direct-drive generator for a vertical axis wind turbine, characterized in that: The dual three-phase uneven-tooth permanent magnet direct-drive generator for the vertical axis wind turbine specifically includes: a stator and a rotor, which are placed concentrically and the stator is surrounded by the rotor to form an inner stator and outer rotor structure, and the stator and the rotor are separated by an air gap; the stator includes a stator core and a stator winding, and the stator core is provided with a stator yoke, stator teeth and unevenly distributed modulation teeth, the modulation teeth are connected to the stator yoke through the stator teeth, and the modulation teeth and the stator teeth have a certain deflection angle in the radial direction, the stator winding is an annular concentrated winding, which is wound on the stator teeth, and the number of stator teeth, modulation teeth and stator winding is the same; the rotor part includes a magnetic bridge, a rotor core and a permanent magnet, and the magnetic bridge connects the rotor core.

2. The dual three-phase uneven-tooth permanent magnet direct-drive generator for a vertical axis wind turbine according to claim 1, characterized in that: The stator tooth width is different from the modulation tooth width, the stator tooth width is larger than the modulation tooth width, and the number of modulation teeth is the same as that of stator teeth.

3. The dual three-phase uneven-tooth permanent magnet direct-drive generator for a vertical axis wind turbine according to claim 1, characterized in that: The uneven modulation teeth are unevenly distributed in the circumferential direction. The teeth on the same phase winding are grouped together. The spacing between the two teeth in the same group is fixed and the spacing is the same for each group, while the spacing between the two groups is not fixed. For the convenience of explanation, the windings are divided into ABC and abc. In the double three-phase winding, the spacing between the tooth groups of the two corresponding phases, i.e., the two phases Aa, the two phases Bb and the two phases Cc is fixed. This patent defines it as an uneven coefficient. Since there are two spacing distributions, two uneven coefficients are defined: c1 represents the spacing between the two teeth in a group of teeth, reflecting the improvement of the performance of the generator due to the uneven teeth; c2 represents the spacing between the tooth groups, representing the expansion of the working range of the generator due to the uneven teeth, and is specifically defined as: Among them, among them, θ t is the modulation tooth angle, p r is the number of permanent magnet pole pairs of the motor, N st is the number of stator teeth of the motor, θ g is the angle between adjacent modulation tooth groups.

4. The dual three-phase uneven-tooth permanent magnet direct-drive generator for a vertical axis wind turbine according to claim 1, characterized in that: The concentrated windings form dual three-phase windings, and the motor working mode is adjusted by changing the series-parallel mode of the dual three-phase windings. The direction of the electromotive force generated by the winding is stipulated to be the positive direction, and Aa is connected in parallel, Aa is connected in forward series, Ab is connected in reverse series, Ac is connected in forward series, and Ac is connected in reverse series to realize five series working modes of the motor with different powers. Different working modes have their own optimal working wind speed ranges. By adjusting the motor operation mode, a wide range of efficient power generation can be achieved.

5. The dual three-phase uneven-tooth permanent magnet direct-drive generator for a vertical axis wind turbine according to claim 1, characterized in that: The stator core is formed by axially stacking silicon steel sheets of the same shape.

6. The dual three-phase uneven-tooth permanent magnet direct-drive generator for a vertical axis wind turbine according to claim 1, characterized in that: The rotor permanent magnets are magnetized along the circumferential tangential direction, all the permanent magnets have the same width, the permanent magnet poles are installed oppositely, and the rotor core is sandwiched between adjacent permanent magnets.

7. The dual three-phase uneven-tooth permanent magnet direct-drive generator for a vertical axis wind turbine according to claim 1, characterized in that: The number of the rotor cores is consistent with the number of permanent magnets, and the widths of all the rotor cores are consistent.

8. The dual three-phase uneven-tooth permanent magnet direct-drive generator for a vertical axis wind turbine according to claim 1, characterized in that: The magnetic bridge structure is used to connect the rotor cores. The connection method is to connect all the spaced rotor cores together. Half of the rotor cores in the circumferential direction are all connected to one magnetic bridge, and the other half are not connected. The width of the connecting part is consistent with the width of the core.

9. The dual three-phase uneven-tooth permanent magnet direct-drive generator for a vertical axis wind turbine according to claim 1, characterized in that: The modulation teeth and the rotor permanent magnets have a certain quantitative matching relationship, that is, p g =|p r -N st |, where p g is the number of winding pole pairs, p r is the number of permanent magnet pole pairs, N st is the number of stator teeth. For the dual three-phase uneven-tooth permanent magnet direct-drive generator proposed in this patent, the number of stator teeth should be an integer multiple of 12.

10. A multi-objective optimization algorithm for a dual three-phase uneven-tooth permanent magnet direct-drive generator for a direct-axis fan, characterized in that: The multi-objective optimization algorithm combines the entropy weighted good-bad solution distance method and the Black Kite algorithm. The entropy weighted good-bad solution distance method calculates the optimization weights of each optimization objective in the proxy model, and performs hierarchical optimization on the optimization objectives. The proxy model can calculate the mapping function of the motor through the sample set, and efficiently calculate the optimal parameter combination of the motor through the Black Kite algorithm.

11. The multi-objective optimization algorithm according to claim 10, characterized in that: The multi-objective optimization algorithm utilizes the ability of the entropy weighted solution distance method to calculate the optimization target weight, calculates the comprehensive optimization target weight considering all optimization parameters, and considers this weight in the proxy model to generate a proxy model that considers the motor optimization target weight. The Black Kite algorithm is used to perform multi-objective optimization on this proxy model to calculate the optimal parameter combination of the motor.

12. The multi-objective optimization algorithm according to claim 10, characterized in that: The entropy weighted good and bad solution distance method is a decision analysis method. The score of each parameter is obtained by calculating the distance between the ideal solution in the data set and the current data solution. In the calculation process of the entropy weighted good and bad solution distance method, the optimization weight of each optimization parameter for each optimization target and the sensitivity of each optimization parameter are obtained. The proxy model weight is obtained by comprehensively considering the sensitivity and optimization weight. The formula is: in, Represents i th Optimizing variable j th The weight of the optimization target, G(x i ) represents the comprehensive sensitivity of the optimization parameters.

13. The multi-objective optimization algorithm according to claim 10, characterized in that: The proxy model is a method for fitting a model curve through a data set. The data set comes from a finite element model calculation. After the calculation is completed, it is fitted through the proxy model, and a polynomial equation is obtained by fitting through the proxy model. It is a mapping function of optimization parameters and optimization variables. When applied to a motor, the proxy model needs to be calculated separately for each optimization target. The weight obtained by the entropy weighted solution distance method is weighted to obtain a comprehensive optimization proxy model.

14. The multi-objective optimization algorithm according to claim 10, characterized in that: The black kite algorithm is a meta-heuristic algorithm. The algorithm uses two different iterative calculation methods: "attack behavior" iteration and "migration behavior" iteration, alternately iterates the model, and calculates the optimal parameter combination of the motor within a given optimization parameter range.

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