DC winding induced voltage optimization method, terminal and storage medium

Abstract

The present invention discloses a method, a terminal and a storage medium for optimizing the induced voltage of a DC winding, and relates to the technical field of motor parameter optimization. The method determines a partitioned stator hybrid excitation switch flux motor to be optimized; under brushless AC control of preset shaft current, armature winding copper loss, and DC winding slot current density, the average electromagnetic torque within one electrical cycle is used as the optimization target to globally optimize the motor parameters; after global optimization, the DC winding induced voltage is used as the optimization target to optimize the rotor inner and outer pole arcs and / or rotor tooth distribution again. The present invention can effectively weaken the DC winding induced voltage of the partitioned stator hybrid excitation switch flux motor under different working conditions and improve the motor performance by adjusting the rotor inner and outer pole arcs and rotor tooth distribution.

Description

Technical Field

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

[0002] In recent years, the high torque density, sinusoidal back EMF and low torque ripple of hybrid excitation switched flux motor (HESFM) have attracted more and more research interests. In addition, the permanent magnets and excitation coils of the hybrid excitation switched flux motor are distributed on the stator side, so that it can fully enjoy the advantages of brushless operation, simple rotor structure and convenient thermal management. Partitioned stator (PS) hybrid excitation switched flux motor has higher torque density and better flux regulation ability than similar motors due to better internal space utilization.

[0003] However, the partitioned stator hybrid excitation switched flux motor (PS-HESFM) has the problem of DC winding induced voltage. Due to the existence of DC winding induced voltage, the DC winding will generate current ripple, thereby generating a fluctuating excitation magnetic field. At the same time, the DC winding induced voltage will also affect the DC power supply and control performance. Therefore, it is of great significance to study the mechanism of DC winding induced voltage and the technology to weaken it. However, there is currently a lack of DC winding induced voltage optimization methods for partitioned stator hybrid excitation switched flux motors.

[0004] Therefore, the existing technology still needs to be improved and developed. Summary of the invention

[0005] The technical problem to be solved by the present invention is that, in view of the above-mentioned defects of the prior art, a DC winding induced voltage optimization method, a terminal and a storage medium are provided, aiming to solve the problem in the prior art of lack of a DC winding induced voltage optimization method for a partitioned stator hybrid excitation switch flux motor.

[0006] The technical solution adopted by the present invention to solve the problem is as follows:

[0007] In a first aspect, an embodiment of the present invention provides a method for optimizing a DC winding induced voltage, the method comprising:

[0008] Determine the partitioned stator hybrid excitation switched flux motor to be optimized;

[0009] Under the brushless AC control with preset shaft current, armature winding copper loss, and DC winding slot current density, the motor parameters are globally optimized with the average electromagnetic torque within one electrical cycle as the optimization target;

[0010] After global optimization, the rotor inner and outer pole arcs and / or rotor tooth distribution are optimized again with the DC winding induced voltage as the optimization target.

[0011] In one embodiment, the global optimization of motor parameters with the average electromagnetic torque in one electrical cycle as the optimization target includes:

[0012] Taking maximizing the average electromagnetic torque within one electrical cycle as the optimization goal, the motor parameters are globally optimized through a preset genetic optimization algorithm.

[0013] In one embodiment, after the global optimization, the rotor inner and outer pole arcs and / or rotor teeth distribution are optimized again with the DC winding induced voltage as the optimization target, including:

[0014] The prediction values ​​of the induced voltage and electromagnetic torque of the DC winding after global optimization are obtained through simulation algorithms;

[0015] According to the two predicted values, the parameter objects to be optimized again are determined from the inner and outer pole arcs and the rotor tooth distribution.

[0016] In one embodiment, the step of determining the re-optimized parameter object from the inner and outer pole arcs and the rotor tooth distribution according to the two predicted values ​​includes:

[0017] Compare the two predicted values ​​with their respective optimized target values;

[0018] If the under-standard value of the induced voltage of the DC winding is higher than the under-standard value of the electromagnetic torque, the inner and outer pole arcs are determined as the parameter objects to be optimized again;

[0019] If the under-standard value of the electromagnetic torque is higher than the under-standard value of the DC winding induced voltage, the rotor tooth distribution is determined as a parameter object to be optimized again.

[0020] In one embodiment, when the partitioned stator hybrid excitation switch flux motor is in a no-load condition, the optimization method of the inner and outer pole arcs includes:

[0021] Obtain all feasible first arc combinations corresponding to inner and outer polar arcs through a finite element analysis algorithm;

[0022] Generate a first three-dimensional change diagram and a second three-dimensional change diagram according to all the first arc combinations, wherein the first three-dimensional change diagram is used to reflect the change of the peak-to-peak value of the induced voltage of the no-load DC winding with the first arc combination, and the second three-dimensional change diagram is used to reflect the change of the fundamental wave back electromotive force of the armature winding with the first arc combination;

[0023] Screening all the first arc combinations according to the second three-dimensional change diagram;

[0024] According to the first stereoscopic change diagram and the second stereoscopic change diagram, an optimal curvature combination is determined from the screened first curvature combinations.

[0025] In one embodiment, when the partitioned stator hybrid excitation switch flux motor is in a load condition, the optimization method of the inner and outer pole arcs includes:

[0026] All feasible second arc combinations corresponding to inner and outer polar arcs are obtained through finite element analysis algorithm;

[0027] Generate a third three-dimensional change diagram and a fourth three-dimensional change diagram according to all the second arc combinations, wherein the third three-dimensional change diagram is used to reflect the change of the peak-to-peak value of the load DC winding induced voltage with the second arc combination, and the fourth three-dimensional change diagram is used to reflect the change of the average load electromagnetic torque with the second arc combination;

[0028] According to the third three-dimensional change diagram and the fourth three-dimensional change diagram, the second arc combination with the smallest induced voltage of the load DC winding when the constraint of the average load electromagnetic torque is satisfied is selected as the optimal arc combination.

[0029] In one embodiment, when the partitioned stator hybrid excitation switch flux motor is in a no-load condition, the method for optimizing the rotor tooth distribution includes:

[0030] Determine a number of rotor iron sheets to be adjusted;

[0031] Obtaining all feasible offset angles of the rotor iron sheet by a finite element analysis algorithm;

[0032] Generate a first curve change graph and a second curve change graph according to all the offset angles, wherein the first curve change graph is used to reflect the change of the peak-to-peak value of the induced voltage of the no-load DC winding with the offset angle, and the second curve change graph is used to reflect the change of the fundamental wave back electromotive force of the armature winding with the offset angle;

[0033] According to the second curve change diagram, all the offset angles are screened;

[0034] According to the first curve change diagram and the second curve change diagram, an optimal offset angle is determined from the screened offset angles.

[0035] In one embodiment, when the partitioned stator hybrid excitation switch flux motor is in a load condition, the method for optimizing the rotor tooth distribution includes:

[0036] Determine a number of rotor iron sheets to be adjusted;

[0037] Obtaining all feasible angle combinations of the offset angle and the current leading angle of the rotor iron sheet by a finite element analysis algorithm;

[0038] Generate a third curve change graph and a fourth curve change graph according to all the angle combinations, wherein the third curve change graph is used to reflect the change of the peak-to-peak value of the load DC winding induced voltage with the angle combination, and the fourth curve change graph is used to reflect the change of the average load torque with the angle combination;

[0039] According to the third curve variation diagram and the fourth curve variation diagram, an optimal angle combination is determined from all the angle combinations.

[0040] 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 comprises instructions for executing a DC winding induced voltage optimization method as described in any one of the above; and the processor is used to execute the program.

[0041] 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 DC winding.

[0042] Beneficial effects of the present invention: The embodiments of the present invention can effectively weaken the DC winding induced voltage of the partitioned stator hybrid excitation switch flux motor under different working conditions and improve the motor performance by adjusting the rotor inner and outer pole arcs and the rotor tooth distribution. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] 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.

[0044] Figure 1 It is a flow chart of a method for optimizing the induced voltage of a DC winding provided in an embodiment of the present invention.

[0045] Figure 2 Schematic diagram of the effect of rotor pole arc pairing on the peak-to-peak value of the induced voltage of the load DC winding.

[0046] Figure 3 Schematic diagram of the effect of rotor pole arc pairing on the average load electromagnetic torque.

[0047] Figure 4 Schematic diagram of the influence of current lead angle and offset angle on the peak-to-peak value of the induced voltage of the load DC winding.

[0048] Figure 5Schematic diagram of the influence of current lead angle and offset angle on average load torque.

[0049] Figure 6 Schematic diagram of the effect of the offset angle on the peak-to-peak value of the induced voltage of the no-load DC winding.

[0050] Figure 7 Schematic diagram of the effect of the offset angle on the amplitude of the fundamental back-electromotive force of the armature winding.

[0051] Figure 8 This is a graph showing the effect of the current lead angle on the peak-to-peak value of the induced voltage of the DC winding of the 12-slot 10-pole PS-HESFM load.

[0052] Fig. 9 This is the influence curve of current lead angle on the average torque of 12-slot 10-pole PS-HESFM.

[0053] Fig.10 It is a cross-sectional view of a three-phase 12-slot 10-pole PS-HESFM provided in an embodiment of the present invention.

[0054] Fig.11 It is a three-phase 12-slot 10-pole PS-HESFM line diagram provided by an embodiment of the present invention.

[0055] Fig.12 1 is a waveform diagram of the DC winding induced voltage of the 12-slot 10-pole PS-HESFM under different conditions provided by an embodiment of the present invention.

[0056] Fig.13 It is a spectrum diagram of the DC winding induced voltage of the 12-slot 10-pole PS-HESFM under different conditions provided by an embodiment of the present invention.

[0057] Fig.14 It is a schematic diagram of rotor pole arc pairing provided by an embodiment of the present invention.

[0058] Fig.15 It is a schematic diagram of uneven distribution of rotor teeth provided by an embodiment of the present invention.

[0059] Fig.16 It is a bar graph of the peak-to-peak value of the DC winding induced voltage of the PS-HESFM with different slot-pole combinations under different working conditions provided by the embodiment of the present invention.

[0060] Fig.17 It is a principle block diagram of a terminal provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0061] The present invention discloses a method, a terminal and a storage medium for optimizing the induced voltage of a DC winding. 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.

[0062] 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.

[0063] 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.

[0064] In view of the above-mentioned defects of the prior art, the present invention provides a method for optimizing the induced voltage of a DC winding, wherein the method determines a partitioned stator hybrid excitation switch flux motor to be optimized; under brushless AC control of preset shaft current, armature winding copper loss, and DC winding slot current density, the average electromagnetic torque within one electrical cycle is used as the optimization target to globally optimize the motor parameters; after global optimization, the rotor inner and outer pole arcs and / or rotor tooth distribution are optimized again with the DC winding induced voltage as the optimization target. The present invention can effectively weaken the induced voltage of the DC winding of the partitioned stator hybrid excitation switch flux motor under different working conditions and improve the motor performance by adjusting the rotor inner and outer pole arcs and rotor tooth distribution.

[0065] like Figure 1 As shown, the method includes:

[0066] Step S100: determining a partitioned stator hybrid excitation switched flux motor to be optimized.

[0067] Specifically, the partitioned stator hybrid excitation switch flux motor uses two separate stators, the outer stator contains the armature winding, and the inner stator contains the permanent magnet and the excitation winding, which can reduce space conflicts and improve torque density. Since the partitioned stator hybrid excitation switch flux motor has the problem of DC winding induced voltage, in order to further improve the motor performance, this embodiment needs to optimize the parameters of the partitioned stator hybrid excitation switch flux motor.

[0068] For example, Fig.10 , Fig.11 As shown in the figure, the three-phase 12-slot 10-pole zoned stator hybrid excitation switch flux motor consists of a 12-slot outer stator wound with a three-phase AC armature winding, a 12-slot inner stator wound with a DC field winding, a sandwich 10-pole iron sheet rotor and 12 permanent magnets. Both the AC armature winding and the DC excitation winding are non-overlapping concentrated windings. All circumferentially magnetized permanent magnets are inserted into the inner stator yoke.

[0069] In one implementation, a partitioned stator hybrid excitation switched flux motor uses an iron flux bridge to enhance flux regulation capability.

[0070] In one implementation, the outer stator and the inner stator of the partitioned stator hybrid excitation switched flux motor have the same number of stator slots, and the outer stator slots are aligned with the inner stator teeth.

[0071] In order to facilitate understanding of the subsequent technical solutions of this embodiment, it is necessary to explain the principle of the DC winding induced voltage phenomenon in the partitioned stator hybrid excitation switch flux motor:

[0072] In a partitioned stator hybrid excitation switched flux motor, from the perspective of closed-loop DC winding current control, it is desirable that the DC winding current is constant. If the DC winding current is constant, the DC winding flux can be considered constant. However, the modulation effect of the salient pole rotor in the PS-HESFM causes variable magnetic resistance in the air gap, which causes the DC winding flux to change. The DC winding flux is affected by many harmonics, such as the 6th, 12th, and 18th harmonics. Therefore, according to Faraday's law in equation (1), due to the change in the DC winding flux, the voltage pulsation induced in the DC winding is as follows:

[0073] , (1);

[0074] in, E f is the DC winding induced voltage, Ψ f is the DC winding flux, θ e is the rotor electrical position, Ω e is the rotor electrical speed.

[0075] Peak-to-peak value of DC winding induced voltage ( E pp ) can be expressed by formula (2):

[0076] , (2);

[0077] in, E 1 is the peak-to-peak value of the induced voltage of one turn of DC winding, N dc is the number of turns in each DC coil.

[0078] DC winding induction voltage ratio ( IVR ) is the peak-to-peak value of the DC winding induced voltage ( E pp ) and DC winding resistance voltage drop ( V rf ), as shown in formula (3). The DC winding induced voltage ratio is used to reflect the influence of the DC winding induced voltage on the motor performance. IVR The higher it is, the greater the influence of the DC winding induced voltage is, and vice versa.

[0079] , (3).

[0080] Step S200, under the brushless AC control of preset shaft current, armature winding copper loss, and DC winding slot current density, the motor parameters are globally optimized with the average electromagnetic torque within one electrical cycle as the optimization target.

[0081] Specifically, the purpose of globally optimizing the motor parameters in this embodiment is mainly to obtain a better average electromagnetic torque. The motor parameters that have a greater impact on the average electromagnetic torque include the geometric parameters of the motor, such as the stator radius, rotor radius, air gap length, etc.; material property parameters, such as the magnetic energy product of the magnetic steel, the magnetic permeability of the stator and rotor cores, etc.; control parameters, such as the number of turns and wire diameter of the armature winding. In the global optimization process, the optimization weights corresponding to each parameter can be set according to the degree of influence of different parameters on the average electromagnetic torque, so as to focus on optimizing those parameters that have a greater impact on the average electromagnetic torque. In actual applications, it is necessary to set constraints in the global optimization process, including restrictions on shaft current, armature winding copper loss, DC winding slot current density, etc.

[0082] In one implementation, the global optimization of motor parameters with the average electromagnetic torque in one electrical cycle as the optimization target includes:

[0083] Taking maximizing the average electromagnetic torque within one electrical cycle as the optimization goal, the motor parameters are globally optimized through a preset genetic optimization algorithm.

[0084] Specifically, in order to find the global optimal solution in a larger search space, this embodiment selects a genetic algorithm to perform global optimization on the motor parameters. During the optimization process, the genetic algorithm will continuously adjust the parameter values ​​to find the optimal solution that maximizes the average electromagnetic torque.

[0085] For example, for a 12-slot 10-pole PS-HESFM, when the d-axis current is zero, the armature winding copper loss is 20W, and the DC field winding slot current density is positive 5A / mm 2 Under the brushless AC control, global optimization is performed with the goal of maximizing the average electromagnetic torque within one electrical cycle. The packing factor of the AC armature winding and the DC excitation winding slots are both 0.5. The key geometric parameters of the motor after global optimization are shown in Table 1. Fig.10 , Fig.11 . From l a To ib The parameters of are fixed, and the rest are global optimization parameters.

[0086] Table 1. Key design parameters of PS-HESFM

[0087]

[0088] In one implementation, the global optimization of motor parameters by using a preset genetic optimization algorithm includes:

[0089] Each motor parameter is encoded as a gene, and chromosomes are formed by genes of different types of motor parameters, that is, different chromosomes correspond to different motor parameter combinations;

[0090] The number of individuals is determined according to the number of motor parameter types, and an initial population that matches the number of individuals is randomly generated according to all chromosomes, where different individuals correspond to different chromosomes;

[0091] A fitness function is constructed in advance according to the average electromagnetic torque in an electrical cycle, and for each individual, the fitness value of the individual is calculated through the fitness function;

[0092] Determine whether there is an individual whose fitness value reaches the preset threshold among all individuals. If not, for each individual, generate a corresponding number of first signatures according to the fitness value. The higher the fitness value, the more first signatures there are.

[0093] According to the first lot slips of all individuals, randomly draw a first number of individuals, and for each individual drawn, generate a corresponding number of second lot slips according to the fitness value. The higher the fitness value, the more the number of second lot slips.

[0094] According to the second lot slips of all the individuals drawn, randomly draw a second number of individuals to perform genetic recombination to generate new individuals;

[0095] Randomly performing gene mutation on a third number of new individuals, wherein the mutation method is to randomly select a preset number of genes and modify parameter values ​​corresponding to the genes according to preset value fluctuations;

[0096] For all new individuals, continue to perform the step of calculating the fitness value of each individual through the fitness function until an individual with a fitness value greater than a preset threshold is found or the number of iterations exceeds the preset number, and then stop iterating;

[0097] The chromosome of the individual with the highest fitness value when the iteration is stopped is decoded into motor parameters to obtain the optimal motor parameter combination.

[0098] Step S300: After the global optimization, the DC winding induced voltage is taken as the optimization target, and the rotor inner and outer pole arcs and / or rotor teeth distribution are optimized again.

[0099] Specifically, the performance of the motor after global optimization, especially the performance of the induced voltage of the DC winding, is analyzed to determine whether further optimization is needed and the direction of optimization, such as selecting one or more parameter objects of the rotor inner and outer pole arcs and the rotor tooth distribution for further optimization. Adjusting the rotor inner and outer pole arcs is the rotor pole arc pairing method, which can reduce the cogging torque and back electromotive force harmonics, thereby reducing torque pulsation. Taking the no-load condition as an example, by changing the rotor outer pole arc and the inner pole arc, the magnetic resistance of the outer air gap and the inner air gap can be affected, so the no-load DC winding induced voltage can be weakened by the rotor pole arc pairing method. Adjusting the rotor tooth distribution is the uneven distribution method of the rotor teeth. Using unevenly distributed rotor teeth, half of the number of rotor iron sheets are translated by an offset angle to weaken the induced voltage of the DC winding. In short, this embodiment is based on global optimization, and a local optimization method is established to focus on improving the induced voltage of the DC winding. In the local optimization process, the relevant parameters are continuously adjusted to minimize the induced voltage of the DC winding.

[0100] In one implementation, after the global optimization, the rotor inner and outer pole arcs and / or rotor teeth distribution are optimized again with the DC winding induced voltage as the optimization target, including:

[0101] The prediction values ​​of the induced voltage and electromagnetic torque of the DC winding after global optimization are obtained through simulation algorithms;

[0102] According to the two predicted values, the parameter objects to be optimized again are determined from the inner and outer pole arcs and the rotor tooth distribution.

[0103] Specifically, the simulation algorithm is used to predict the motor state after global optimization, specifically the value of the DC winding induced voltage and the value of the electromagnetic torque. The global optimization effect is determined by the two predicted values, and then the next optimization direction is determined from the inner and outer pole arcs and rotor tooth distribution.

[0104] In one implementation, determining the re-optimized parameter object from the inner and outer pole arcs and the rotor tooth distribution according to the two predicted values ​​includes:

[0105] Compare the two predicted values ​​with their respective optimized target values;

[0106] If the under-standard value of the induced voltage of the DC winding is higher than the under-standard value of the electromagnetic torque, the inner and outer pole arcs are determined as the parameter objects to be optimized again;

[0107] If the under-standard value of the electromagnetic torque is higher than the under-standard value of the DC winding induced voltage, the rotor tooth distribution is determined as a parameter object to be optimized again.

[0108] In summary, this embodiment compares two predicted values ​​(DC winding induced voltage and electromagnetic torque) with their respective optimization target values, determines which performance indicator needs to be improved more according to the comparison results, and selects the corresponding parameter object for re-optimization. Specifically, the predicted value of the DC winding induced voltage is compared with its optimization target value, and the non-standard amount, that is, the difference between the predicted value and the optimization target value, is calculated. Similarly, the predicted value of the electromagnetic torque is compared with its optimization target value, and the non-standard amount, that is, the difference between the predicted value and the optimization target value, is calculated. If the non-standard amount of the DC winding induced voltage is higher than the non-standard amount of the electromagnetic torque, it means that the performance of the DC winding induced voltage needs to be improved more, and the inner and outer pole arcs are determined as the parameter objects to be optimized again, because the change of the inner and outer pole arcs has a greater impact on the DC winding induced voltage. Conversely, if the non-standard amount of the electromagnetic torque is higher than the non-standard amount of the DC winding induced voltage, the rotor tooth distribution is determined as the parameter object to be optimized again, because both methods will reduce the electromagnetic torque while reducing the induced voltage, but the rotor tooth distribution has a smaller effect on the torque reduction, so the effect of maintaining the electromagnetic torque is better. After optimization again, the predicted values ​​corresponding to the DC winding induced voltage and electromagnetic torque can be re-obtained and compared with their respective optimization target values ​​to ensure that the optimization of the selected parameter objects can effectively improve the motor performance.

[0109] In one implementation, when the partitioned stator hybrid excitation switch flux motor is in a no-load condition, the optimization method of the inner and outer pole arcs includes:

[0110] Obtain all feasible first arc combinations corresponding to inner and outer polar arcs through a finite element analysis algorithm;

[0111] Generate a first three-dimensional change diagram and a second three-dimensional change diagram according to all the first arc combinations, wherein the first three-dimensional change diagram is used to reflect the change of the peak-to-peak value of the induced voltage of the no-load DC winding with the first arc combination, and the second three-dimensional change diagram is used to reflect the change of the fundamental wave back electromotive force of the armature winding with the first arc combination;

[0112] Screening all the first arc combinations according to the second three-dimensional change diagram;

[0113] According to the first stereoscopic change diagram and the second stereoscopic change diagram, an optimal curvature combination is determined from the screened first curvature combinations.

[0114] Specifically, a finite element model of the motor can be established in advance for the inner pole arc and the outer pole arc of the rotor, and all feasible arc combinations of the inner and outer pole arcs (i.e., the first arc combination) can be obtained by traversing the finite element model. For each arc combination, the no-load DC winding induced voltage and the armature winding fundamental wave back electromotive force of the motor are predicted under the arc combination through simulation technology or experiments. Based on the calculation results of all arc combinations, a first three-dimensional change diagram ( Figure 2 ), showing the change trend of the peak-to-peak value of the no-load DC winding induced voltage of the motor with the arc combination; at the same time, the second three-dimensional change diagram is drawn ( Figure 3 ), showing the changing trend of the armature winding fundamental back electromotive force of the motor with the radian combination. The first three-dimensional change diagram and the second three-dimensional change diagram both include three axes: X, Y, and Z. The X and Y axes correspond to one radian in the inner and outer pole arcs respectively. The Z axis of the first three-dimensional change diagram corresponds to the peak-to-peak value of the no-load DC winding induced voltage, and the Z axis of the second three-dimensional change diagram corresponds to the armature winding fundamental back electromotive force. The first three-dimensional change diagram and the second three-dimensional change diagram can help intuitively understand the impact of different radian combinations on the performance of the motor. First, the second three-dimensional change diagram is analyzed to find the radian combination that satisfies the armature winding fundamental back electromotive force within a specific range, so as to achieve preliminary screening, eliminate those radian combinations that obviously do not meet the requirements, and narrow the optimization range. Then, the first three-dimensional change diagram and the second three-dimensional change diagram are comprehensively analyzed to evaluate the no-load DC winding induced voltage and the armature winding fundamental back electromotive force of each radian combination preliminarily screened out, and the optimization goal is set to minimize the no-load DC winding induced voltage while keeping the armature winding fundamental back electromotive force within an acceptable range. According to the optimization goal, the optimal radian combination is determined from all the radian combinations preliminarily screened out.

[0115] For example, taking the 12-slot 10-pole PS-HESFM as an example, under no-load conditions, the rated constant current I of the DC excitation winding power supply dc is 1.08A, and the rotor rotates at a mechanical speed of 400rpm. Fig.12 As shown, a pulsating voltage (curve with circular marks) will be induced in the DC excitation winding, where E pp is 0.63V, V rf13.87%. Therefore, the DC winding induced voltage ratio (IVR) is 13.87% when no-load. At this time, there may be 6k (k = 1, 2, 3...) induced voltage harmonics in the DC winding, while other harmonics are offset due to the series connection between the DC coils. When the rotor pole arc pairing method is adopted, that is, the no-load DC winding induced voltage is weakened by adjusting the inner pole arc and the outer pole arc, all feasible rotor inner pole arc and outer pole arc combinations are calculated by the finite element analysis method (FEA) for the peak-to-peak value of the no-load DC winding induced voltage and the armature winding fundamental back electromotive force. The goal of adjusting the inner and outer pole arcs is to minimize the no-load DC winding induced voltage while keeping the average load electromagnetic torque as high as possible. In the first step, if θ ri and θ ro If the armature winding fundamental back EMF of the combination is less than 95% of the armature winding fundamental back EMF of the original motor (i.e., the global optimized motor for maximum average torque), the combination is ignored. The second step is to find out the E pp The best combination of the most weakened and the armature winding fundamental back EMF greater than or equal to 95% of the original machine armature winding fundamental back EMF. Through these two steps, the motor's θ is obtained. ri and θ ro The best combination is θ ri =22°, θ ro =28°. No-load DC winding induced voltage (E PP ) are 0.64V and 0.06V respectively. The T cog They are 117.55mNm and 12.51mNm respectively. The peak-to-peak reduction rate of the induced voltage when the rotor pole arc pairing method is adopted is 89.89%, and the peak-to-peak reduction rate of the cogging torque is 89.36%. Table 2 lists the characteristics of the 12-slot 10-pole PS-HESFM under the rotor pole arc pairing method at no load.

[0116] Table 2. Characteristics of no-load rotor pole arc pairing PS-HESFM

[0117]

[0118] In one implementation, when the partitioned stator hybrid excitation switch flux motor is in a load condition, the optimization method of the inner and outer pole arcs includes:

[0119] All feasible second arc combinations corresponding to inner and outer polar arcs are obtained through finite element analysis algorithm;

[0120] Generate a third three-dimensional change diagram and a fourth three-dimensional change diagram according to all the second arc combinations, wherein the third three-dimensional change diagram is used to reflect the change of the peak-to-peak value of the load DC winding induced voltage with the second arc combination, and the fourth three-dimensional change diagram is used to reflect the change of the average load electromagnetic torque with the second arc combination;

[0121] According to the third three-dimensional change diagram and the fourth three-dimensional change diagram, the second arc combination with the smallest induced voltage of the load DC winding when the constraint of the average load electromagnetic torque is satisfied is selected as the optimal arc combination.

[0122] Specifically, a finite element model of the motor can be established in advance for the inner pole arc and the outer pole arc of the rotor, and all feasible arc combinations of the inner and outer pole arcs (i.e., the second arc combination) can be obtained by traversing the finite element model. For each arc combination, the load DC winding induced voltage and the average load electromagnetic torque of the motor are predicted under the arc combination through simulation technology or experiments. Based on the calculation results of all arc combinations, a third three-dimensional change diagram ( Figure 4 ), showing the change trend of the peak-to-peak value of the induced voltage of the motor's load DC winding with the arc combination; at the same time, the fourth three-dimensional change diagram ( Figure 5 ), showing the changing trend of the average load electromagnetic torque of the motor with the radian combination. The third stereoscopic change diagram and the fourth stereoscopic change diagram both include three axes: X, Y, and Z. The X and Y axes correspond to an radian in the inner and outer pole arcs respectively. The Z axis of the third stereoscopic change diagram corresponds to the peak-to-peak value of the induced voltage of the load DC winding. The Z axis of the fourth stereoscopic change diagram corresponds to the average load electromagnetic torque. The third stereoscopic change diagram and the fourth stereoscopic change diagram can help intuitively understand the impact of different radian combinations on motor performance. In order to minimize the induced voltage pulsation of the load DC winding, for all possible radian combinations, while maintaining the average load electromagnetic torque as much as possible, for example, constraining the change in the average load electromagnetic torque not to exceed a preset numerical range, the radian combination when the induced voltage of the load DC winding is the smallest is used as the optimal radian combination.

[0123] For example, under load conditions, when the AC armature winding and the DC excitation winding are respectively supplied by three-phase sinusoidal current (I ac_rms =15.61A) and constant DC current (I dc =1.08A) power supply, when the rotor speed is 400rpm, if Fig.12 As shown, the DC excitation winding will also induce a pulsating voltage (curve with square marks), where E pp The load IVR is 0.72V and 15.82%. Due to the influence of the armature current on the DC winding voltage, the IVR under load condition is 14.09% higher than that under no-load condition (E pp =0.63V). Fig.13As shown in the figure, when the motor is powered only by three-phase AC armature current, that is, when the permanent magnet and DC excitation are removed, the induced voltage harmonic order is 6k, which indicates that the order of the DC winding induced voltage harmonic caused by the armature current alone is 6k, and the voltage pulsation in the DC winding is called the armature current induced voltage. When the motor operates under load conditions, that is, when the permanent magnet, DC excitation current and AC armature current coexist, the DC winding induced voltage is defined as the load DC winding induced voltage, and the load DC winding induced voltage harmonic order is also 6k, that is, the 6th harmonic is the main harmonic in the load DC winding induced voltage harmonics. Therefore, by reducing the amplitude of the 6th harmonic, the peak-to-peak value of the load DC winding induced voltage can be effectively suppressed. When the inner and outer pole arcs of the iron sheet rotor change, the amplitude of the 6th harmonic under load will also change accordingly. In PS-HESFM, there are two air gaps, the rotor outer pole arc (θ ro ) mainly affects the magnetic permeability of the outer air gap, while the rotor inner pole arc (θ ri ) mainly affects the internal air gap. By adjusting θ ri and θ ro , resulting in the equivalent air gap permeability being different from the original optimized PS-HESFM. The load condition is equivalent to the superposition of the no-load condition and the armature current condition. ri and θ ro Under the combination, the no-load and armature current induced voltage components change, which will cause the load DC winding induced voltage to change, so it can be used again Fig.14 The rotor pole arc pairing in θ is used to suppress the load DC winding induced voltage. In order to suppress the pulsating load DC winding induced voltage while maintaining the average load electromagnetic torque, ri and θ ro The finite element analysis method is used to calculate different combinations of outer and inner pole arcs of the iron rotor within the possible numerical range. Since the salient pole ratio (Lq / Ld) of PS-HESFM is very close to 1, its reluctance torque component can be ignored, so i d =0 control method is more suitable for achieving maximum torque per ampere (MTPA). According to the load electromagnetic torque (T), it is easy to obtain the average load electromagnetic torque (T ave ). In the dq coordinate system, i d =0, the load electromagnetic torque of PS-HESFM can be described as:

[0124] , (4);

[0125] Where p is the pole pair number, Ψ d and q is the d-axis and q-axis flux, i d and i q are the d-axis and q-axis currents.

[0126] In order to minimize the load DC winding induced voltage ripple, in all possible combinations, E pp The minimum value of θ ri and θ ro As the optimal arc combination, that is, θ ri =13°,θ ro =27°.

[0127] Proof of the technical effect of rotor pole arc pairing technology:

[0128] Through the rotor pole arc matching technology, the load DC winding induced voltage E pp The peak-to-peak value of E is significantly suppressed, which is 0.05V and 0.72V in the paired optimized and original motors, respectively. pp The reduction rate is 92.81%. The original motor is T ave The highest global optimized 12-slot 10-pole PS-HESFM, and the paired motor is E pp Optimized motor with the highest reduction ratio.

[0129] Through rotor pole arc pairing technology, the amplitude of the 6th harmonic is reduced from 0.36V to 0.02V.

[0130] Through rotor pole arc matching technology, the average load torque (T ave ) is slightly reduced, in the paired and unpaired motors, they are 1.24Nm and 1.33Nm respectively, with a reduction ratio of 7.32%, which is due to the reduction of the fundamental back electromotive force of the AC armature winding. In addition, the torque pulsation T of the original motor and the paired motor is rip The decrease from 11.46% to 8.10% is mainly due to the suppression of the 6th back EMF harmonic in the armature winding. Table 3 summarizes the main characteristics of the rotor pole arc pairing when the 12-slot 10-pole PS-HESFM is in load operation.

[0131] Table 3. Characteristics of PS-HESFM with rotor pole arc pairing under load

[0132]

[0133] In one implementation, when the partitioned stator hybrid excitation switch flux motor is in a no-load condition, the method for optimizing the rotor tooth distribution includes:

[0134] Determine a number of rotor iron sheets to be adjusted;

[0135] Obtaining all feasible offset angles of the rotor iron sheet by a finite element analysis algorithm;

[0136] Generate a first curve change graph and a second curve change graph according to all the offset angles, wherein the first curve change graph is used to reflect the change of the peak-to-peak value of the induced voltage of the no-load DC winding with the offset angle, and the second curve change graph is used to reflect the change of the fundamental wave back electromotive force of the armature winding with the offset angle;

[0137] According to the second curve change diagram, all the offset angles are screened;

[0138] According to the first curve change diagram and the second curve change diagram, an optimal offset angle is determined from the screened offset angles.

[0139] Specifically, first select the rotor iron sheet whose offset angle needs to be adjusted, and use the finite element analysis method to simulate the working state of the rotor iron sheet at different offset angles to obtain all feasible offset angles. Through simulation technology or experiments, create two curve change graphs: the first curve change graph ( Figure 6 ) shows how the peak-to-peak value of the no-load DC winding induced voltage changes with the offset angle, and the second curve variation diagram ( Figure 7 ) shows how the armature winding fundamental back EMF changes with the offset angle. Analyze the second curve change graph, for example, to filter out the offset angle that meets the conditions according to the specific back EMF range. Combine the first and second curve change graphs to evaluate the remaining offset angles after screening. Determine the optimal offset angle that can minimize the no-load DC winding induced voltage while keeping the armature winding fundamental back EMF within the ideal range.

[0140] For example, using Fig.15 The unevenly distributed rotor teeth shown in the figure are used to weaken the induced voltage of the no-load DC winding. Half of the rotor iron sheets are shifted by an offset angle θs. It can be seen that the amplitude and initial phase of the 6th induced voltage harmonic will be affected. In addition, the initial phase waveform of the 6th harmonic is bipolar. For the 12-slot 10-pole PS-HESFM, the 6th harmonic is the main harmonic in the magnetic flux and induced voltage of the no-load DC winding. Since the 6th induced voltage harmonic changes with the offset angle θs, the induced voltage of the no-load DC winding can be weakened by the unevenly distributed rotor teeth. Specifically, all possible values ​​of the offset angle θs are calculated by the finite element analysis method of the peak-to-peak value of the induced voltage of the no-load DC winding and the fundamental back electromotive force of the armature winding. The peak-to-peak value of the induced voltage of the no-load DC winding changes with the change of the offset angle, which is mainly due to the change of the 6th induced voltage harmonic with the offset angle. The change of the fundamental back electromotive force of the armature winding with the offset angle is also a similar analysis process. In order to find the best offset angle that can weaken the induced voltage of the no-load DC winding the most while maintaining the average load torque as high as possible, the specific optimization steps are as follows: First, if an offset angle θ sIf the fundamental back EMF of the armature winding of the original machine is less than 95% of the fundamental back EMF of the armature winding of the original machine, then ignore this combination; the second step is to find E in the remaining combinations. pp The optimal value is the one where the drop is the largest and the armature winding fundamental back EMF is greater than or equal to 95% of the original machine armature winding fundamental back EMF. Through these two steps, the optimal offset angle θ of the 12-slot 10-pole PS-HESFM is obtained. s (θ s =33.13°). No-load DC winding induced voltage (E) of the original motor and the non-uniform tooth optimized motor PP ) are 0.64V and 0.07V respectively. In the case of uneven distribution of rotor teeth, the peak-to-peak reduction rate of the induced voltage is 88.73%. Unevenly distributed rotor teeth can also effectively reduce the peak-to-peak value of the cogging torque (T cog ), that is, T of the original motor and the optimal motor with uneven teeth cog They are 117.55 mNm and 15.89 mNm respectively, and the peak-to-peak reduction rate of the cogging torque with uneven rotor teeth distribution is 86.49%. Table 4 summarizes the characteristics of the 12-slot 10-pole PS-HESFM with uneven rotor teeth distribution at no load.

[0141] Table 4. No-load characteristics of PS-HESFM with uneven rotor teeth distribution

[0142]

[0143] In one implementation, when the partitioned stator hybrid excitation switch flux motor is in a load condition, the method for optimizing the rotor tooth distribution includes:

[0144] Determine a number of rotor iron sheets to be adjusted;

[0145] Obtaining all feasible angle combinations of the offset angle and the current leading angle of the rotor iron sheet by a finite element analysis algorithm;

[0146] Generate a third curve change graph and a fourth curve change graph according to all the angle combinations, wherein the third curve change graph is used to reflect the change of the peak-to-peak value of the load DC winding induced voltage with the angle combination, and the fourth curve change graph is used to reflect the change of the average load torque with the angle combination;

[0147] According to the third curve variation diagram and the fourth curve variation diagram, an optimal angle combination is determined from all the angle combinations.

[0148] Specifically, first determine the rotor iron sheet that needs to adjust the offset angle and current lead angle, use the finite element analysis algorithm to simulate the motor performance of the rotor iron sheet under different offset angles and current lead angle combinations, and traverse to obtain all possible angle combinations of offset angles and current lead angles to ensure that the entire feasible angle range is covered. For each angle combination, calculate the peak-to-peak value of the load DC winding induced voltage and the average load torque. Through simulation technology or experiments, draw the third curve change diagram ( Figure 8 ), showing the change trend of the peak-to-peak value of the load DC winding induced voltage with the feasible angle combination. At the same time, the fourth curve change diagram is drawn ( Fig. 9 ), reflecting the change of average load torque with feasible angle combinations. The influence of different angle combinations on motor performance can be intuitively understood through the third and fourth curve change diagrams. Considering the information of the third and fourth curve change diagrams, the load DC winding induced voltage and average load torque performance of all feasible angle combinations are evaluated, and the optimization goal is set to minimize the load DC winding induced voltage while keeping the average load torque within an acceptable range. According to the optimization goal, the optimal angle combination is determined from all feasible angle combinations.

[0149] For example, half of the rotor iron sheets are moved by a mechanical angle θ s Due to the change of the equivalent air gap permeability, the amplitude of the sixth induced voltage harmonic under load changes with the angle θ s As the load DC winding induced voltage changes, it can be adjusted by selecting an appropriate θ s Value to suppress E pp In addition, when the offset angle changes, the current lead angle (θ e , the phase angle between the phase current vector and the no-load back electromotive force) will also change. Since the magnetic permeability of the laminated steel changes with the change of the current lead angle, the air gap magnetic permeability and mutual inductance between the AC and DC windings are affected by the current lead angle. Therefore, the no-load induced voltage and the armature current induced voltage both change with the current lead angle, and the load DC winding induced voltage also changes accordingly. The peak-to-peak value of the load DC winding induced voltage changes with the change of the current lead angle, and the load DC winding induced voltage ratio will also change accordingly. This embodiment scans the offset angle θ by the finite element analysis method s and the current lead angle θ e , to calculate E pp and T ave In order to minimize E pp , select the one with the largest E pp Reduction rate θ s and θ e A combination of s =38.75° and θ e=40°. Load DC winding induced voltage (E) of motor with and without uneven rotor tooth optimization pp ) are 0.07V and 0.72V respectively, with a reduction rate of 90.57%. pp The weakening of is mainly based on the suppression of the sixth harmonic of the load DC winding induced voltage. Since the phase fundamental back electromotive force in the armature winding is low, the T of the optimized motor with unevenly distributed rotor poles is ave Slightly lower than the original motor, 1.25Nm and 1.33Nm respectively, T ave The reduction rate is 6.58%. In addition, due to the suppression of the 6th back EMF harmonic, the torque ripple T rip It also dropped from 11.46% to 5.77%, or 49.61% of T rip The main characteristics of the 12-slot 10-pole PS-HESFM with non-uniformly distributed iron rotor poles are shown in Table 5.

[0150] Table 5. Load characteristics of PS-HESFM with uneven rotor teeth distribution

[0151]

[0152] Technical effect proof:

[0153] The motors optimized by the two technologies were compared with the original motors by finite element analysis (FEA). The results show that under no-load conditions, the use of rotor pole arc pairing and unevenly distributed rotor teeth can reduce the peak-to-peak value of the DC winding induced voltage by 89.89% and 88.73% respectively. Under load conditions, the use of these two technologies can effectively reduce the peak-to-peak value of the DC winding induced voltage by 92.81% and 90.57% respectively, while maintaining a high average load electromagnetic torque of 92.68% and 93.42%.

[0154] Possible technical variants:

[0155] 1. The induced voltage of the DC winding can be weakened by changing the structure of other components of PS-HESFM, such as stator skew slots, rotor skew poles, rotor pole cutting, etc., to reduce the main order induced voltage harmonics of the motor.

[0156] 2. The slot-pole number combination also affects the DC winding induced voltage. If the PS-HESFM has high accuracy requirements and is to be used in a relatively quiet environment, this can be taken into consideration when designing the slot-pole number of the motor. Fig.16 The figure shows the DC winding induced voltage of PS-HESFM under different working conditions with different slot-pole combinations. It can be found that the DC winding induced voltage of motors with different slot-pole combinations under the same working conditions is different. Therefore, changing the slot-pole combination may also achieve the effect of weakening the DC winding induced voltage.

[0157] Based on the above embodiment, the present invention further provides a terminal, whose principle block diagram can be shown as follows: Fig.17 As shown. The terminal includes a processor, a memory, a network interface, and a display screen connected through 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 through a network connection. When the computer program is executed by the processor, a method for optimizing the induced voltage of a DC winding is implemented. The display screen of the terminal can be a liquid crystal display screen or an electronic ink display screen.

[0158] Those skilled in the art will understand that Fig.17 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.

[0159] In one implementation, the memory of the terminal stores one or more programs, and is configured to be executed by one or more processors. The one or more programs include instructions for performing a method for optimizing a DC winding induced voltage.

[0160] 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).

[0161] In summary, the present invention discloses a method, terminal and storage medium for optimizing the induced voltage of a DC winding. The method determines a partitioned stator hybrid excitation switch flux motor to be optimized; under brushless AC control of preset shaft current, armature winding copper loss, and DC winding slot current density, the average electromagnetic torque within one electrical cycle is used as the optimization target to globally optimize the motor parameters; after global optimization, the DC winding induced voltage is used as the optimization target to optimize the rotor inner and outer pole arcs and / or rotor tooth distribution again. The present invention can effectively weaken the DC winding induced voltage of the partitioned stator hybrid excitation switch flux motor under different working conditions and improve the motor performance by adjusting the rotor inner and outer pole arcs and rotor tooth distribution.

[0162] 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 DC winding, characterized in that: The method comprises: Determine the partitioned stator hybrid excitation switched flux motor to be optimized; Under the brushless AC control of preset shaft current, armature winding copper loss, and DC winding slot current density, the motor parameters are globally optimized with the average electromagnetic torque within one electrical cycle as the optimization target; After global optimization, the DC winding induced voltage is taken as the optimization target, and the rotor inner and outer pole arcs and / or rotor tooth distribution are optimized again; After the global optimization, the rotor inner and outer pole arcs and / or rotor teeth distribution are optimized again with the DC winding induced voltage as the optimization target, including: The prediction values ​​of the induced voltage and electromagnetic torque of the DC winding after global optimization are obtained through simulation algorithms; According to the two predicted values, the parameter objects to be optimized again are determined from the inner and outer pole arcs and the rotor tooth distribution; The method of determining the parameter object to be optimized again from the inner and outer pole arcs and the rotor tooth distribution according to the two predicted values ​​includes: Compare the two predicted values ​​with their respective optimized target values; If the under-standard value of the induced voltage of the DC winding is higher than the under-standard value of the electromagnetic torque, the inner and outer pole arcs are determined as the parameter objects to be optimized again; If the under-standard value of the electromagnetic torque is higher than the under-standard value of the DC winding induced voltage, the rotor tooth distribution is determined as a parameter object to be optimized again.

2. The DC winding induced voltage optimization method according to claim 1, characterized in that: The method of globally optimizing the motor parameters by taking the average electromagnetic torque in one electrical cycle as the optimization target includes: Taking maximizing the average electromagnetic torque within one electrical cycle as the optimization goal, the motor parameters are globally optimized through a preset genetic optimization algorithm.

3. The method for optimizing the DC winding induced voltage according to claim 1, characterized in that: When the partitioned stator hybrid excitation switch flux motor is in a no-load condition, the optimization method of the inner and outer pole arcs includes: Obtain all feasible first arc combinations corresponding to inner and outer polar arcs through a finite element analysis algorithm; Generate a first three-dimensional change diagram and a second three-dimensional change diagram according to all the first arc combinations, wherein the first three-dimensional change diagram is used to reflect the change of the peak-to-peak value of the induced voltage of the no-load DC winding with the first arc combination, and the second three-dimensional change diagram is used to reflect the change of the fundamental wave back electromotive force of the armature winding with the first arc combination; Screening all the first arc combinations according to the second three-dimensional change diagram; According to the first stereoscopic change diagram and the second stereoscopic change diagram, an optimal curvature combination is determined from the screened first curvature combinations.

4. The method for optimizing the DC winding induced voltage according to claim 1, characterized in that: When the partitioned stator hybrid excitation switch flux motor is in a load condition, the optimization method of the inner and outer pole arcs includes: All feasible second arc combinations corresponding to inner and outer polar arcs are obtained through finite element analysis algorithm; Generate a third three-dimensional change diagram and a fourth three-dimensional change diagram according to all the second arc combinations, wherein the third three-dimensional change diagram is used to reflect the change of the peak-to-peak value of the load DC winding induced voltage with the second arc combination, and the fourth three-dimensional change diagram is used to reflect the change of the average load electromagnetic torque with the second arc combination; According to the third three-dimensional change diagram and the fourth three-dimensional change diagram, the second arc combination with the smallest load DC winding induced voltage when the constraint of the average load electromagnetic torque is satisfied is selected as the optimal arc combination.

5. The method for optimizing the DC winding induced voltage according to claim 1, characterized in that: When the partitioned stator hybrid excitation switch flux motor is in a no-load condition, the optimization method of the rotor tooth distribution includes: Determine a number of rotor iron sheets to be adjusted; Obtaining all feasible offset angles of the rotor iron sheet by a finite element analysis algorithm; Generate a first curve change graph and a second curve change graph according to all the offset angles, wherein the first curve change graph is used to reflect the change of the peak-to-peak value of the induced voltage of the no-load DC winding with the offset angle, and the second curve change graph is used to reflect the change of the fundamental wave back electromotive force of the armature winding with the offset angle; According to the second curve change diagram, all the offset angles are screened; According to the first curve change diagram and the second curve change diagram, an optimal offset angle is determined from the screened offset angles.

6. The method for optimizing the DC winding induced voltage according to claim 1, characterized in that: When the partitioned stator hybrid excitation switch flux motor is in a load condition, the optimization method of the rotor tooth distribution includes: Determine a number of rotor iron sheets to be adjusted; Obtaining all feasible angle combinations of the offset angle and the current leading angle of the rotor iron sheet by a finite element analysis algorithm; Generate a third curve change graph and a fourth curve change graph according to all the angle combinations, wherein the third curve change graph is used to reflect the change of the peak-to-peak value of the load DC winding induced voltage with the angle combination, and the fourth curve change graph is used to reflect the change of the average load torque with the angle combination; According to the third curve variation diagram and the fourth curve variation diagram, an optimal angle combination is determined from all the angle combinations.

7. 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 DC winding induced voltage optimization method as described in any one of claims 1-6; and the processor is used to execute the program.

8. 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 DC winding induced voltage optimization method described in any one of claims 1 to 6 above.

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