Electric drive stator core modal test method and device for new energy vehicle, and electronic equipment

Abstract

The invention relates to an electric drive stator core modal test method and device for a new energy vehicle and electronic equipment, and the method comprises the steps: constructing a wireframe model used for describing the modal shape of a to-be-tested stator core, and determining the positions of an excitation point and a response point based on the wireframe model; based on preset test parameters, excitation signals are applied to the excitation points, excitation response signals are collected at the positions of the response points, and an FRF curve of each excitation point is generated according to the excitation signals and the excitation response signals; and generating a final SUM frequency response curve according to the FRF curve of each excitation point, and obtaining a modal test result of the to-be-tested stator core according to the final SUM frequency response curve. Therefore, the problem that due to the fact that the stator core is formed by laminating a plurality of layers of silicon steel sheets and has remarkable nonlinear characteristics, the accurate modal shape is difficult to test through related testing technologies is solved, the modal frequency, the damping ratio and the modal shape recognition accuracy and efficiency of the stator core are greatly improved, and a direction is provided for subsequent electric drive noise optimization.

Description

Technical Field

[0001] This application relates to the field of vehicle technology, and in particular to a method, apparatus and electronic equipment for testing the modal characteristics of an electric drive stator core for new energy vehicles. Background Technology

[0002] Currently, the noise of vehicle electric drive systems is mainly classified into three categories: air noise, mechanical noise, and electromagnetic noise. Air noise and mechanical noise are primarily related to the motor mounting structure and heat dissipation methods, and these two types of noise are not considered in the design of the electric drive unit itself. In contrast, electromagnetic noise is most strongly correlated with the design of the electric drive unit, and its core cause is the electromagnetic force acting on the stator. The electromagnetic force includes radial and tangential components, with the radial force amplitude being much larger than the tangential force, making it the main factor causing motor vibration noise. When the spatial order and temporal frequency of the electromagnetic force acting on the stator core are equal to or close to the stator core's own modal modes and natural frequencies, it will induce strong radial vibration of the stator core, leading to serious electromagnetic noise problems. Therefore, in modal studies of the stator core, identifying accurate frequency mode parameters through modal testing is particularly important for addressing the vibration and noise problems of new energy vehicle electric drive systems.

[0003] In related technologies, modal testing of stator cores mostly focuses on modal frequencies.

[0004] However, since the stator core is made of multiple layers of silicon steel sheets, it has significant nonlinear characteristics, making it difficult for related testing techniques to accurately measure the mode shapes, which urgently needs to be solved. Summary of the Invention

[0005] This application provides a method, apparatus, and electronic device for modal testing of stator cores for electric drives in new energy vehicles. This addresses the problem that stator cores, being composed of multiple layers of laminated silicon steel sheets, exhibit significant nonlinear characteristics, making it difficult for related testing techniques to accurately detect mode shapes. The method significantly improves the accuracy and efficiency of stator core modal frequency, damping ratio, and mode shape identification, providing direction for subsequent electric drive noise optimization.

[0006] The first aspect of this application provides a method for modal testing of the stator core of an electric drive system for new energy vehicles, including the following steps: A wireframe model is constructed to describe the mode shapes of the stator core under test, and the locations of excitation and response points are determined based on the wireframe model. Based on preset test parameters, an excitation signal is applied at the excitation point, and an excitation response signal is collected at the response point. The frequency response function (FRF) curve for each excitation point is generated based on the excitation signal and the excitation response signal. The final frequency response function (SUM) frequency response curve is generated based on the FRF curve of each excitation point, and the test results of the stator core mode under test are obtained based on the final SUM frequency response curve.

[0007] Optionally, in some embodiments, it further includes: Obtain the key 5th mode results of the stator core under test within the test frequency range; Based on the mode shape vector of each modal result, the corresponding Modal Assurance Criterion (MAC) value is obtained, and the evaluation result of the modal test of the stator core under test is obtained based on all the modal MAC values.

[0008] Optionally, in some embodiments, the evaluation results of the modal test of the stator core under test are obtained based on all modal MAC values, including: Determine the evaluation range; Calculate the absolute value of the first difference between the modal MAC value and the upper limit of the evaluation interval, and calculate the absolute value of the second difference between the modal MAC value and the lower limit of the evaluation interval; The evaluation results of the mode test of the stator core under test are obtained based on the absolute values ​​of the first and second differences.

[0009] Optionally, in some embodiments, the evaluation result of the mode test of the stator core under test is obtained based on the absolute value of the first difference and the absolute value of the second difference, including: If the absolute value of the first difference is greater than the absolute value of the second difference, then determine the first... The first-order mode shape vector and the second-order mode shape vector The mode shape vectors of the first mode satisfy the preset similarity conditions.

[0010] Optionally, in some embodiments, the preset MAC matrix is: ; in, For the first The first-order mode shape vector and the second-order mode shape vector Modal MAC values ​​between first-order mode shape vectors; For the first First-order mode shape vector; For the first The first-order mode shape vector.

[0011] A second aspect of this application provides a modal testing device for the electric drive stator core of a new energy vehicle, comprising: The module is used to build a wireframe model that describes the mode shapes of the stator core under test, and to determine the locations of excitation and response points based on the wireframe model. The fitting module is used to apply excitation signals at excitation points based on preset test parameters, acquire excitation response signals at response point locations, and generate FRF curves for each excitation point based on the excitation signals and excitation response signals. The first generation module is used to generate the final SUM frequency response curve based on the FRF curve of each excitation point, and to obtain the test results of the stator core mode based on the final SUM frequency response curve.

[0012] Optionally, in some embodiments, it further includes: The acquisition module is used to acquire the key 5th-order mode results of the stator core under test within the test frequency range; The second generation module is used to obtain the corresponding modal MAC value based on the mode shape vector of each modal result, and to obtain the evaluation result of the modal test of the stator core under test based on all the modal MAC values.

[0013] Optionally, in some embodiments, the second generation module is specifically used for: Determine the evaluation range; Calculate the absolute value of the first difference between the modal MAC value and the upper limit of the evaluation interval, and calculate the absolute value of the second difference between the modal MAC value and the lower limit of the evaluation interval; The evaluation results of the mode test of the stator core under test are obtained based on the absolute values ​​of the first and second differences.

[0014] Optionally, in some embodiments, the second generation module is specifically used for: If the absolute value of the first difference is greater than the absolute value of the second difference, then determine the first... The first-order mode shape vector and the second-order mode shape vector The mode shape vectors of the first mode satisfy the preset similarity conditions.

[0015] Optionally, in some embodiments, the preset MAC matrix is: ; in, For the first The first-order mode shape vector and the second-order mode shape vector Modal MAC values ​​between first-order mode shape vectors; For the first First-order mode shape vector; For the first The first-order mode shape vector.

[0016] A third aspect of this application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor. The processor executes the program to implement the modal testing method for electric drive stator cores of new energy vehicles described in the first aspect embodiment.

[0017] A fourth aspect of this application provides a computer-readable storage medium having a computer program stored thereon, which is executed by a processor to implement the modal testing method for electric drive stator cores of new energy vehicles as described in the first aspect embodiment.

[0018] Therefore, this embodiment of the application can construct a wireframe model of the stator core to be tested and determine the positions of excitation points and response points; based on preset test parameters, excitation signals are applied to the excitation points, and the FRF curve of each excitation point is generated by combining the excitation response signals collected at the response points; the final SUM frequency response curve is generated based on the FRF curve of each excitation point, thereby obtaining the modal test results of the stator core to be tested. This solves the problem that the stator core is composed of multiple layers of stacked silicon steel sheets, which has significant nonlinear characteristics, making it difficult for related testing techniques to accurately detect mode shapes. It significantly improves the accuracy and efficiency of stator core modal frequency, damping ratio, and mode shape identification, providing direction for subsequent electric drive noise optimization.

[0019] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0020] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 This is a flowchart of a modal testing method for an electric drive stator core for new energy vehicles, provided according to an embodiment of this application. Figure 2 This is a schematic diagram of a wireframe model of a stator core to be tested according to an embodiment of this application; Figure 3 This is a schematic diagram showing the coordinates of a stator core frame model to be tested according to an embodiment of this application; Figure 4 This is a schematic diagram of the frequency response curve of a key mode of a stator core in a free state according to an embodiment of this application; Figure 5 This is a schematic diagram of the first critical mode shape of a stator core in a free state according to an embodiment of this application; Figure 6 This is a schematic diagram of the second critical mode shape of a stator core in a free state according to an embodiment of this application; Figure 7 This is a schematic diagram of the third critical mode shape of a stator core in a free state according to an embodiment of this application; Figure 8This is a schematic diagram of the fourth critical mode shape of a stator core in a free state according to an embodiment of this application; Figure 9 This is a schematic diagram of the fifth critical mode shape of a stator core in a free state according to an embodiment of this application; Figure 10 This is a schematic diagram of the modal MAC values ​​of a key mode of vibration of a stator core in a free state, according to an embodiment of this application. Figure 11 This is a schematic diagram of the modal MAC values ​​of another key mode of stator core vibration in a free state according to an embodiment of this application; Figure 12 This is a flowchart illustrating a method for modal testing of an electrically driven stator core in a free state, according to an embodiment of this application. Figure 13 This is a block diagram of a modal testing device for an electric drive stator core of a new energy vehicle according to an embodiment of this application; Figure 14 This is a schematic diagram of the structure of an electronic device according to an embodiment of this application. Detailed Implementation

[0021] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0022] The following describes a method, apparatus, and electronic device for modal testing of stator cores for electric drives in new energy vehicles, based on embodiments of the present application, with reference to the accompanying drawings. Addressing the problem mentioned in the background art—that stator cores, being composed of multiple layers of stacked silicon steel sheets, exhibit significant nonlinear characteristics, making it difficult for related testing techniques to accurately determine mode shapes—the embodiments of this application construct a wireframe model of the stator core to be tested and determine the locations of excitation and response points. Based on preset test parameters, excitation signals are applied to the excitation points, and the excitation response signals collected at the response points are combined to generate an FRF curve for each excitation point. The final SUM frequency response curve is generated based on the FRF curve of each excitation point, thereby obtaining the modal test results of the stator core to be tested. This solves the problem that the significant nonlinear characteristics of the stator core, being composed of multiple layers of stacked silicon steel sheets, make it difficult for related testing techniques to accurately determine mode shapes, significantly improving the accuracy and efficiency of stator core modal frequency, damping ratio, and mode shape identification, providing direction for subsequent electric drive noise optimization.

[0023] Specifically, Figure 1A flowchart illustrating the modal testing method for the electric drive stator core of a new energy vehicle provided in this application embodiment.

[0024] like Figure 1 As shown, the modal testing method for the electric drive stator core of this new energy vehicle includes the following steps: In step S101, a wireframe model is constructed to describe the mode shapes of the stator core under test, and the locations of the excitation point and response point are determined based on the wireframe model.

[0025] Specifically, such as Figure 2 and Figure 3 As shown, to obtain the structural modal vibration modes of the stator core under test, this embodiment first constructs a wireframe model of the corresponding modal vibration modes of the stator core under test, and determines the positions of excitation points and response points based on this wireframe model. Specifically, this embodiment uses cylindrical coordinate modeling, uniformly arranging four rings of excitation points along the axial direction of the stator core under test, with 24 excitation points evenly arranged in each ring, for a total of 96 excitation points, to fully reflect the key modal vibration modes of the stator core under test; since this embodiment mainly focuses on the radial modes of the stator core under test, the hammer impact direction is set to the radial direction of the stator core under test, and an elastic rope is used to suspend the stator core under test to ensure that the upper and lower end faces of the stator core under test remain horizontal with the ground, thereby reducing the radial constraint of the stator core under test and maximizing the simulation of the free boundary conditions of the structure. Figure 2 A schematic diagram of a wireframe model of a stator core to be tested, provided for one embodiment of this application; Figure 3 This is a schematic diagram showing the coordinates of a stator core frame model to be tested, provided as an embodiment of this application.

[0026] Furthermore, since the stator core under test has a nonlinear symmetrical structure, in order to reduce noise interference between the excitation point and the response point position during the test and improve the coherence of the test FRF curve, the response point positions in this embodiment are arranged on the upper and lower rings of the cylindrical surface of the stator core under test. Because the stator core under test has a symmetrical structure, the actual modal test results of the stator core under test are prone to duplicate root modes. To achieve accurate identification of duplicate root modes, the response point positions in this embodiment should be set at a certain angle of misalignment, avoiding symmetrical arrangement as much as possible.

[0027] For example, such as Figure 2 As shown, in this embodiment of the application, point 1 can be selected as the first response point position, three points apart, point 5 can be selected as the second response point position, five points apart, point 83 can be selected as the third response point position, and seven points apart, point 91 can be selected as the fourth response point position.

[0028] In step S102, based on preset test parameters, an excitation signal is applied at the excitation point, and an excitation response signal is collected at the response point. An FRF curve for each excitation point is generated based on the excitation signal and the excitation response signal.

[0029] Among them, the preset test parameters are parameters pre-set by the user, which can be parameters obtained through a limited number of experiments or parameters obtained through a limited number of computer simulations, and are not specifically limited here; the excitation signal is the time-domain signal of the pulse excitation force applied at the excitation point; the excitation response signal is the time-domain signal of the vibration response corresponding to the excitation signal collected at the response point.

[0030] Specifically, to reduce the impact of the added mass of the sensors on the test results of the stator core modes, the number of sensors should not be excessive, and a fixed sensor and a moving hammer excitation method should be adopted. Specifically, the preset test parameters should cover all frequencies of the modes of interest in this application embodiment, and an appropriate frequency resolution should be selected to ensure that the excitation response signal can completely attenuate to 0. Simultaneously, the trigger voltage and whether to add a window function should be determined based on the actual test results to ensure the integrity of the signal data in the post-processing stage. Hammer excitation is performed point-by-point on the aforementioned 96 excitation points, with each excitation point being excited three times. This ensures that the excitation signal, excitation response signal, and generated FRF curve and coherence curve collected for each hammer strike all meet the test accuracy requirements.

[0031] In step S103, the final SUM frequency response curve is generated based on the FRF curve of each excitation point, and the test results of the stator core mode under test are obtained based on the final SUM frequency response curve.

[0032] Specifically, this application can generate the final SUM frequency response curve using the FRF curve obtained from each hammer impact. Since the inherent modes in the free state appear at each peak of the SUM frequency response curve, this application embodiment can use the least squares method to fit the curve to identify the test results of the stator core modes under test. The test results of the stator core modes under test can be represented by key modal information such as the frequency, damping, and mode shape corresponding to each peak.

[0033] Therefore, this application proposes a modal testing method for the stator core of an electric drive system for new energy vehicles. By specifying the positions of the force hammer excitation and the acceleration sensor response, and adopting a cross-point modal testing method, the method can quickly and accurately test and identify precise modal parameters such as the mode shape frequency of the stator core. At the same time, it clarifies the core contents, including the establishment of the geometric model, the selection principles of the excitation point and response point, the stator core suspension method, the setting of test parameters, and the hammer impact method, effectively ensuring the accuracy of the stator core modal testing.

[0034] Furthermore, in order to determine the accuracy of the modal parameter identification, this embodiment of the application can evaluate the modal test results of the stator core under test after obtaining the test results.

[0035] As one possible implementation, some embodiments further include: obtaining the key 5th modal results of the stator core under test within the test frequency range; obtaining the corresponding modal MAC value based on the mode shape vector of each modal result; and obtaining the evaluation result of the modal test of the stator core under test based on all the modal MAC values.

[0036] In some embodiments, the evaluation result of the modal test of the stator core under test is obtained based on all modal MAC values, including: determining the evaluation interval; calculating the absolute value of the first difference between the modal MAC value and the upper limit of the evaluation interval, and calculating the absolute value of the second difference between the modal MAC value and the lower limit of the evaluation interval; and obtaining the evaluation result of the modal test of the stator core under test based on the absolute value of the first difference and the absolute value of the second difference.

[0037] In some embodiments, the evaluation result of the stator core modal test is obtained based on the absolute value of the first difference and the absolute value of the second difference, including: if the absolute value of the first difference is greater than the absolute value of the second difference, then it is determined that the first difference is greater than the absolute value of the second difference. The first-order mode shape vector and the second-order mode shape vector The mode shape vectors of the first mode satisfy the preset similarity conditions.

[0038] The preset MAC matrix is ​​a matrix pre-constructed based on the modal confidence criterion, used to quantify the correlation degree of mode shape vectors; the preset similarity condition is the first... The first-order mode shape vector and the second-order mode shape vector The criterion for determining whether the morphological consistency of the first-order mode shape vectors reaches a preset threshold.

[0039] Specifically, in the embodiments of this application, modal testing can first be used to obtain the first and second orders of the stator core under different modes. The first mode shape vector and the second mode shape vector The first mode shape vector provides basic data for subsequent evaluation. Next, based on the preset MAC matrix, the measured first mode shape vector is used... The first mode shape vector and the second mode shape vector Substituting the mode shape vectors into the calculation, the modal MAC value reflecting the similarity between the two is obtained. Then, the accuracy of the modal test results of the stator core under test is judged by the modal MAC value, forming the final evaluation result of the modal test of the stator core under test.

[0040] The preset MAC matrix is ​​as follows: ; in, For the first The first-order mode shape vector and the second-order mode shape vector Modal MAC values ​​between first-order mode shape vectors; For the first First-order mode shape vector; For the first The first-order mode shape vector.

[0041] It should be understood that the MAC matrix, also known as the modal correlation coefficient matrix, is essentially the result of the dot product operation between different modal shape vectors. It is mainly used to evaluate the correlation between modal shape vectors in a spatial (geometric) plane. The modal MAC value calculated from measured modal shape vectors ranges from 0 to 1. If the modal MAC value approaches 0, it indicates that there is no correlation between the two modal shape vectors; if the modal MAC value approaches 1, it indicates that the two modal shape vectors are highly similar in shape. For each modal shape in the same modal test analysis result, the modal MAC value corresponding to the same mode should approach 1, and the modal MAC values ​​corresponding to different modes should approach 0. Modal shape identification results that meet this condition are more accurate. Therefore, the accuracy of modal testing and parameter identification can be verified by calculating the modal MAC value.

[0042] Therefore, this application proposes an evaluation method for the modal test results of the stator core of electric drive for new energy vehicles. By analyzing the modal MAC values ​​of key mode shapes, the correlation of mode shapes is determined, thereby judging the accuracy of modal parameter identification. This helps to study the influence of stator core modal parameters on the noise, vibration, and harshness (NVH) performance of electric drive, and provides strong support for the analysis of NVH problems in electric drive systems.

[0043] Furthermore, to enable those skilled in the art to better understand the modal testing method for the electric drive stator core of new energy vehicles of this application, the following is combined with... Figures 4 to 11 Specific embodiments will be described below.

[0044] For example, this application uses a stator core for electric drive in a new energy vehicle in a free state as an example for illustration.

[0045] Specifically, the modal test results of the key modal frequencies of the stator core can be as follows: Figure 4 As shown, Figure 4 This application provides a schematic diagram of the frequency response curves of a key mode of a stator core in a free state, as shown in one embodiment. The modal test results of the key mode shape of the stator core can be as follows: Figures 5 to 9 As shown, Figures 5 to 9 These are schematic diagrams of key mode shapes of a stator core in a free state, provided in one embodiment of this application. Figure 5The corresponding parameters are: 993.8300Hz, 0.90%. Figure 6 The corresponding parameters are: 2642.9711Hz, 1.44%. Figure 7 The corresponding parameters are: 4653.8822Hz, 0.27%. Figure 8 The corresponding parameters are: 6856.6985Hz, 0.25%. Figure 9 The corresponding parameters are: 7335.2602Hz, 0.27%. Furthermore, the test results of the modal MAC values ​​(mode dependence) of the key mode shapes of this stator core can be obtained as follows: Figure 10 and Figure 11 As shown, Figure 10 and Figure 11 These are schematic diagrams of the modal MAC values ​​of a key mode of stator core in a free state, provided by one embodiment of this application.

[0046] Furthermore, to enable those skilled in the art to better understand the modal testing method for the electric drive stator core of new energy vehicles of this application, the following is combined with... Figure 12 Specific embodiments will be described below.

[0047] Figure 12 This is a flowchart illustrating a method for testing the modal characteristics of an electrically driven stator core in a free state, as provided in one embodiment of this application.

[0048] like Figure 12 As shown, the modal testing method for the electric drive stator core in the free state includes the following steps: S1201, Geometric Modeling.

[0049] S1202, Channel Settings.

[0050] S1203, set the bandwidth.

[0051] S1204, hammer setting.

[0052] S1205, tapping test.

[0053] S1206, Result Processing.

[0054] S1207, Determine if the evaluation is reasonable? If yes, proceed to step S1208; otherwise, proceed to step S1201.

[0055] S1208, Write a report.

[0056] Specifically, this application can achieve at least the following functions: (1) Preprocessing function: It has geometric structure modeling function.

[0057] (2) Modal testing function: It has structural modal testing function.

[0058] (3) Post-processing function: It has display functions such as frequency response function, modal frequency, mode shape and damping.

[0059] The modal testing method for stator cores used in new energy vehicles proposed in this application can construct a wireframe model of the stator core to be tested and determine the excitation and response point positions. Based on preset test parameters, an excitation signal is applied to the excitation point, and the FRF curve for each excitation point is generated by combining the excitation response signal collected at the response point. The final SUM frequency response curve is generated based on the FRF curve of each excitation point, thereby obtaining the modal test results of the stator core to be tested. This solves the problem that the stator core, being composed of multiple layers of stacked silicon steel sheets, exhibits significant nonlinear characteristics, making it difficult for related testing techniques to accurately detect mode shapes. It significantly improves the accuracy and efficiency of stator core modal frequency, damping ratio, and mode shape identification, providing direction for subsequent electric drive noise optimization.

[0060] Next, the modal testing device for electric drive stator core of new energy vehicles proposed in this application is described with reference to the accompanying drawings.

[0061] Figure 13 This is a block diagram of the modal testing device for the electric drive stator core of a new energy vehicle proposed in an embodiment of this application.

[0062] like Figure 13 As shown, the electric drive stator core modal testing device 10 for new energy vehicles includes: a construction module 100, a fitting module 200, and a first generation module 300.

[0063] The module 100 is used to construct a wireframe model describing the mode shapes of the stator core under test, and to determine the locations of excitation and response points based on the wireframe model; the fitting module 200 is used to apply excitation signals at the excitation points based on preset test parameters, and to collect excitation response signals at the response points, and to generate FRF curves for each excitation point based on the excitation signals and excitation response signals; the first generation module 300 is used to generate a final SUM frequency response curve based on the FRF curves of each excitation point, and to obtain the mode test results of the stator core under test based on the final SUM frequency response curves.

[0064] Optionally, in some embodiments, the system further includes: an acquisition module 400, used to acquire the key 5th modal results of the stator core under test within the test frequency range; and a second generation module 500, used to obtain the corresponding modal MAC value based on the mode shape vector of each modal result, and to obtain the evaluation result of the modal test of the stator core under test based on all the modal MAC values.

[0065] Optionally, in some embodiments, the second generation module 500 is specifically used for: determining an evaluation interval; calculating the absolute value of the first difference between the modal MAC value and the upper limit of the evaluation interval, and calculating the absolute value of the second difference between the modal MAC value and the lower limit of the evaluation interval; and obtaining the evaluation result of the modal test of the stator core to be tested based on the absolute value of the first difference and the absolute value of the second difference.

[0066] Optionally, in some embodiments, the second generation module 500 is specifically used to: if the absolute value of the first difference is greater than the absolute value of the second difference, then determine the first... The first-order mode shape vector and the second-order mode shape vector The mode shape vectors of the first mode satisfy the preset similarity conditions.

[0067] Optionally, in some embodiments, the preset MAC matrix is: ; in, For the first The first-order mode shape vector and the second-order mode shape vector Modal MAC values ​​between first-order mode shape vectors; For the first First-order mode shape vector; For the first The first-order mode shape vector.

[0068] It should be noted that the foregoing explanation of the embodiment of the modal testing method for electric drive stator core of new energy vehicles also applies to the modal testing device for electric drive stator core of new energy vehicles in this embodiment, and will not be repeated here.

[0069] The new energy vehicle electric drive stator core modal testing device proposed in this application can construct a wireframe model of the stator core to be tested and determine the excitation and response point positions. Based on preset test parameters, an excitation signal is applied to the excitation point, and the FRF curve for each excitation point is generated by combining the excitation response signal collected at the response point. The final SUM frequency response curve is generated based on the FRF curve of each excitation point, thereby obtaining the modal test results of the stator core to be tested. This solves the problem that the stator core, being composed of multiple layers of stacked silicon steel sheets, exhibits significant nonlinear characteristics, making it difficult for related testing techniques to accurately detect mode shapes. It significantly improves the accuracy and efficiency of stator core modal frequency, damping ratio, and mode shape identification, providing direction for subsequent electric drive noise optimization.

[0070] Figure 14 A schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device may include: The memory 1401, the processor 1402, and the computer program stored on the memory 1401 and executable on the processor 1402.

[0071] When the processor 1402 executes the program, it implements the modal testing method for the electric drive stator core of new energy vehicles provided in the above embodiments.

[0072] Furthermore, the electronic device also includes: Communication interface 1403 is used for communication between memory 1401 and processor 1402.

[0073] The memory 1401 is used to store computer programs that can run on the processor 1402.

[0074] The memory 1401 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage.

[0075] If the memory 1401, processor 1402, and communication interface 1403 are implemented independently, then the communication interface 1403, memory 1401, and processor 1402 can be interconnected via a bus to complete communication between them. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of representation, Figure 14 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0076] Optionally, in a specific implementation, if the memory 1401, processor 1402, and communication interface 1403 are integrated on a single chip, then the memory 1401, processor 1402, and communication interface 1403 can communicate with each other through an internal interface.

[0077] The processor 1402 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.

[0078] This application also provides a computer-readable storage medium having a computer program stored thereon, which is implemented when executed by a processor. Figure 1 The embodiment of the method for modal testing of electric drive stator core for new energy vehicles.

[0079] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0080] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0081] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0082] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0083] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0084] Those skilled in the art will understand that all or part of the steps of the methods described in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it includes one or a combination of the steps of the method embodiments.

[0085] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0086] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A modal testing method for an electric drive stator core used in new energy vehicles, characterized in that, include: A wireframe model is constructed to describe the mode shapes of the stator core under test, and the locations of excitation and response points are determined based on the wireframe model. Based on preset test parameters, an excitation signal is applied at the excitation point, and an excitation response signal is acquired at the response point. An FRF curve for each excitation point is generated based on the excitation signal and the excitation response signal. The final SUM frequency response curve is generated based on the FRF curve of each excitation point, and the test results of the stator core mode under test are obtained based on the final SUM frequency response curve.

2. The method according to claim 1, characterized in that, Also includes: Obtain the key 5th mode results of the stator core under test within the test frequency range; Based on the mode shape vector of each modal result, the corresponding modal MAC value is obtained, and the evaluation result of the modal test of the stator core under test is obtained based on all the modal MAC values.

3. The method according to claim 2, characterized in that, The evaluation results of the modal test of the stator core under test obtained based on all modal MAC values ​​include: Determine the evaluation range; Calculate the absolute value of the first difference between the modal MAC value and the upper limit of the evaluation interval, and calculate the absolute value of the second difference between the modal MAC value and the lower limit of the evaluation interval; The evaluation result of the mode test of the stator core under test is obtained based on the absolute value of the first difference and the absolute value of the second difference.

4. The method according to claim 3, characterized in that, The evaluation result of the modal test of the stator core under test based on the absolute value of the first difference and the absolute value of the second difference includes: If the absolute value of the first difference is greater than the absolute value of the second difference, then determine the first... The first-order mode shape vector and the second-order mode shape vector The mode shape vectors of the first mode satisfy the preset similarity conditions.

5. The method according to claim 3, characterized in that, The preset MAC matrix is: ； in, For the first The first-order mode shape vector and the first-order mode shape vector Modal MAC values ​​between first-order mode shape vectors; For the first First-order mode shape vector; For the first First-order mode shape vector.

6. A modal testing device for an electric drive stator core of a new energy vehicle, characterized in that, include: The construction module is used to construct a wireframe model that describes the mode shapes of the stator core under test, and to determine the locations of excitation points and response points based on the wireframe model; The fitting module is used to apply an excitation signal to the excitation point based on preset test parameters, acquire the excitation response signal at the response point, and generate an FRF curve for each excitation point based on the excitation signal and the excitation response signal. The first generation module is used to generate the final SUM frequency response curve based on the FRF curve of each excitation point, and to obtain the test results of the stator core mode based on the final SUM frequency response curve.

7. The apparatus according to claim 6, characterized in that, Also includes: The acquisition module is used to acquire the key 5th mode results of the stator core under test within the test frequency range; The second generation module is used to obtain the corresponding modal MAC value based on the mode shape vector of each modal result, and to obtain the evaluation result of the modal test of the stator core under test based on all the modal MAC values.

8. The apparatus according to claim 7, characterized in that, The second generation module includes: Determine the evaluation range; Calculate the absolute value of the first difference between the modal MAC value and the upper limit of the evaluation interval, and calculate the absolute value of the second difference between the modal MAC value and the lower limit of the evaluation interval; The evaluation result of the mode test of the stator core under test is obtained based on the absolute value of the first difference and the absolute value of the second difference.

9. An electronic device, characterized in that, include: The method includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the modal testing method for electric drive stator core of new energy vehicles as described in any one of claims 1-5.

10. A computer-readable storage medium storing a computer program, characterized in that, When executed by the processor, the program implements the modal testing method for the electric drive stator core of new energy vehicles as described in any one of claims 1-5.

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