Harmonic current injection control index determination method and device, medium and product

Abstract

The invention discloses a harmonic current injection control index determination method and device, a medium and a product, and relates to the technical field of new energy automobile electric drive assemblies, and the method comprises the steps: obtaining the feature order vibration data and feature order noise data of a motor; establishing control parameters of harmonic current injection optimization NVH according to the feature order vibration data and the feature order noise data; and determining a control index of harmonic current injection according to the control parameter. Through the group of control indexes, the improvement degree of harmonic injection on electric drive order vibration noise can be evaluated in real time. The optimal harmonic injection parameter is not missed or misjudged, and the harmonic injection optimization efficiency and precision of the electric drive assembly can be improved. The technical problem of how to identify the harmonic current control parameter with the optimal electric drive NVH performance in the harmonic injection process is solved.

Description

Technical Field

[0001] The present application relates to the technical field of electric drive assemblies for new energy vehicles, and in particular to methods, equipment, media and products for determining harmonic current injection control indicators. Background Art

[0002] With the rapid development of electric vehicles, the noise, vibration and acoustics (NVH) performance of electric vehicles has become the focus of consumers. In order to improve the NVH performance of electric vehicles, it is necessary to control the injection of harmonic currents of motors. However, existing control methods cannot effectively optimize the NVH performance of motors.

[0003] At present, the common control method is to collect the vibration data and noise data of the motor and establish a simple linear control model to control the injection of harmonic current. This method only considers the vibration data and noise data of all frequencies, cannot distinguish the impact of different frequencies on NVH, and does not take the motor structural characteristics into account. Therefore, this method is difficult to accurately determine the control index of harmonic current injection, which is not conducive to the targeted optimization of the NVH performance of the motor.

[0004] The existing control methods do not distinguish the role of vibration data and noise data of different orders, nor do they consider the structural characteristics of the motor. Therefore, the efficiency and accuracy of determining the harmonic current injection control index are low. This requires a new method that can effectively obtain the structural characteristic information of the motor, distinguish the influence of vibration and noise of different frequencies, and thus improve the efficiency and accuracy of harmonic current injection control. Therefore, how to identify the optimal harmonic current control parameters for electric drive NVH performance during harmonic injection is a problem that needs to be solved urgently. Summary of the invention

[0005] The main purpose of this application is to provide a method, device, medium and product for determining harmonic current injection control indicators, aiming to solve the technical problem of how to identify the harmonic current control parameters that are optimal for electric drive NVH performance during harmonic injection.

[0006] To achieve the above object, the present application proposes a method for determining a harmonic current injection control index, the method for determining a harmonic current injection control index comprising:

[0007] Acquire characteristic order vibration data and characteristic order noise data of the motor;

[0008] Establishing control parameters for harmonic current injection optimization of NVH according to the characteristic order vibration data and the characteristic order noise data;

[0009] A control index for harmonic current injection is determined according to the control parameter.

[0010] In one embodiment, the step of obtaining characteristic order vibration data and characteristic order noise data of the motor specifically includes:

[0011] Several vibration measuring points and several noise measuring points are set on the surface of the motor;

[0012] Select several torque operating points and several speed operating points;

[0013] Determining different operating conditions according to the torque operating point and the speed operating point;

[0014] The characteristic order vibration data of each vibration measuring point and the characteristic order noise data of each noise measuring point are measured in all working conditions.

[0015] In one embodiment, the control index includes: effective vibration parameters, interference vibration parameters, vibration ratio control parameters and noise parameters, and the step of establishing the control parameter of harmonic injection optimization NVH according to the characteristic order vibration data and the characteristic order noise data specifically includes:

[0016] Separate the vibration data in the X, Y, and Z directions of the characteristic order vibration data in the vibration measurement points to obtain x a ,y a and z a , where x a Indicates the vibration data of the vibration measuring point in the X direction, y a represents the vibration data of the vibration measuring point in the Y direction, z a Represents the vibration data of the vibration measuring point in the Z direction;

[0017] The vibration data of the vibration measuring point in the X direction and the vibration data of the vibration measuring point in the Z direction are regarded as valid data, and weighted processing is performed to obtain the valid vibration parameter;

[0018] The vibration data in the Y direction of the vibration measuring point is regarded as interference data, and weighted processing is performed to obtain the interference vibration parameter;

[0019] Determining the vibration ratio control parameter according to the effective vibration parameter and the interference vibration parameter;

[0020] The characteristic order noise data in a plurality of the noise measuring points are averaged to obtain the noise parameters.

[0021] In one embodiment, the step of determining the control index according to the control parameter specifically includes:

[0022] When the vibration ratio control parameter is less than a first preset value, determining the effective vibration parameter, the vibration ratio control parameter and the noise parameter as the control index;

[0023] When the vibration ratio control parameter is greater than or equal to a first preset value, the effective vibration parameter and the vibration ratio control parameter are determined as the control index.

[0024] In one embodiment, the step of determining the control index according to the control parameter comprises:

[0025] Optimal harmonic current control parameters are identified according to the control index to improve the optimization efficiency and accuracy of harmonic injection.

[0026] In one embodiment, the step of identifying the optimal harmonic current control parameter according to the control index specifically includes:

[0027] When the vibration ratio control parameter is less than a first preset value, identifying an optimal harmonic current control parameter according to the effective vibration parameter and the noise parameter;

[0028] When the vibration ratio control parameter is greater than or equal to a first preset value, an optimal harmonic current control parameter is identified according to the effective vibration parameter.

[0029] In one embodiment, when the vibration ratio control parameter is greater than or equal to a first preset value, the step of identifying the optimal harmonic current control parameter according to the effective vibration parameter further includes:

[0030] When the vibration ratio control parameter is greater than or equal to a first preset value, improving the vibration of the vibration measuring point in the Y direction so that the vibration ratio control parameter is less than the first preset value;

[0031] When the vibration ratio control parameter is less than a first preset value, the step of identifying an optimal harmonic current control parameter using the effective vibration parameter and the noise parameter is performed.

[0032] In addition, to achieve the above-mentioned purpose, the present application also proposes a device for determining a harmonic current injection control index, the device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the method for determining the harmonic current injection control index as described above.

[0033] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the method for determining the harmonic current injection control index as described above are implemented.

[0034] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the steps of the method for determining the harmonic current injection control index as described above are implemented.

[0035] One or more technical solutions proposed in this application have at least the following technical effects:

[0036] The present application obtains the characteristic order vibration data and characteristic order noise data of the motor, then establishes the control parameters for optimizing NVH by harmonic current injection according to the characteristic order vibration data and the characteristic order noise data, and finally determines the control index of harmonic current injection according to the control parameters. This group of control indexes can identify the optimal harmonic current control parameters for the electric drive NVH performance during the harmonic injection process. On the one hand, this group of control indexes can separate the influencing factors of non-torque fluctuations, such as the influence of Y-axis vibration on the harmonic injection effect, and identify the noise outlier operating points caused by non-torque fluctuations, so as to take other measures to improve them; on the other hand, even if there is the influence of non-torque fluctuations, the control index can also identify the optimal harmonic injection control parameters for vibration noise.

[0037] This group of control indicators can be used to evaluate in real time the degree of improvement of the electric drive order vibration noise caused by harmonic injection itself. The optimal harmonic injection parameters will not be missed or misjudged, which can improve the efficiency and accuracy of harmonic injection optimization of the electric drive assembly. The technical problem of how to identify the optimal harmonic current control parameters for the electric drive NVH performance during the harmonic injection process is solved. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0039] In order to more clearly illustrate the embodiments of the present application 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, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0040] Figure 1 A flow chart of a method for determining a harmonic current injection control index according to a first embodiment of the present invention;

[0041] Figure 2 A flow chart of a method for determining a harmonic current injection control index according to a second embodiment of the present invention;

[0042] Figure 3 A flow chart of a method for determining a harmonic current injection control index according to a second embodiment of the present invention;

[0043] Figure 4 Schematic diagram of the device structure of the hardware operating environment involved in the method for determining the harmonic current injection control index in the embodiment of the present application.

[0044] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0045] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0046] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0047] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device capable of realizing the above functions, etc. The following takes the determination system of the harmonic current injection control index as an example to illustrate this embodiment and the following embodiments.

[0048] Based on this, the embodiment of the present application provides a method for determining a harmonic current injection control index, referring to Figure 1 , Figure 1 This is a flow chart of a first embodiment of a method for determining a harmonic current injection control index of the present application.

[0049] In this embodiment, the method for determining the harmonic current injection control index includes steps S10 to S40:

[0050] Step S10, acquiring characteristic order vibration data and characteristic order noise data of the motor;

[0051] It should be noted that the characteristic order vibration data refers to the vibration signal with a certain frequency generated when the motor is running. Some frequency components in these vibration signals have a significant impact on the noise performance of the motor, so this part of the frequency is called the characteristic order; the characteristic order noise data refers to the noise component corresponding to the characteristic order vibration during the operation of the motor. The purpose of obtaining the characteristic order vibration data and characteristic order noise data is to identify the changes of these characteristic order components under different harmonic current parameters, so as to determine the optimal harmonic current parameters.

[0052] Specifically, this step requires obtaining characteristic order vibration data and characteristic order noise data under different operating conditions of the motor. First, a vibration sensor and a noise sensor are set on the surface of the motor, and then the vibration signal and noise signal collected by the sensor under each operating condition are detected under the condition of gradually changing the harmonic current parameters. Finally, by analyzing and processing the signal, the characteristic order components, that is, the specific frequency components that have a significant impact on the noise, are extracted to generate characteristic order vibration data and corresponding characteristic order noise data. By comparing the changing patterns of these characteristic order components under different harmonic current parameters, the optimal harmonic current parameters can be identified.

[0053] In some embodiments, this can be achieved in the following two ways:

[0054] Method 1: Use a multi-channel data acquisition device to connect the vibration sensor and noise sensor installed on the surface of the motor to collect the motor vibration signal and noise signal under different working conditions. Then use the signal analysis software to perform spectrum analysis on the collected vibration signal, extract the characteristic order components, and obtain the characteristic order vibration data; at the same time, filter and perform spectrum analysis on the noise signal, extract the noise component corresponding to the characteristic order vibration, and obtain the characteristic order noise data.

[0055] Method 2: Use a wireless sensor network system to place vibration sensors and noise sensors equipped with transmission functions on the surface of the motor. These sensors can wirelessly transmit the detected vibration signals and noise signals to the signal analysis device in real time. The signal analysis device analyzes the received vibration signals and noise, extracts the characteristic order components in real time, and generates characteristic order vibration data and characteristic order noise data.

[0056] Step S20, establishing control parameters for optimizing NVH by harmonic current injection according to the characteristic order vibration data and the characteristic order noise data;

[0057] It should be noted that the control parameter is an intermediate reference variable for determining the harmonic current injection control index. This step determines the reference variable that can represent the influence of harmonic current on vibration and noise by analyzing the variation law of characteristic order vibration data and characteristic order noise data under different harmonic current parameters, providing a basis for the subsequent determination of control indicators.

[0058] Specifically, after obtaining different harmonic current parameters and characteristic order vibration data and characteristic order noise data under different working conditions of the motor, a mathematical model can be established to determine the control parameters. One method is to establish a regression model with characteristic order data as the independent variable and the index representing vibration or noise as the dependent variable. Change the harmonic current parameters, observe the changes in the dependent variable index, and select the regression coefficient that can represent the influence of the harmonic current as the control parameter. Another method is to perform statistical analysis, analyze the statistical laws of the characteristic order data under different parameters, and select the statistics that can represent the influence of the harmonic current as the control parameter. You can also consider the parameter optimization method to search and determine a control parameter that can simultaneously represent the influence of harmonic current on vibration and noise.

[0059] In some embodiments, this can be achieved in the following two ways:

[0060] Method 1: Establish a regression model and obtain model parameters through regression analysis. Change the harmonic current parameters, observe the degree of fit of the parameters to the characteristic order vibration data and characteristic order noise data, and select a regression parameter that can represent the change trend of both as the control parameter.

[0061] Method 2: Conduct statistical analysis to analyze the statistical laws of the characteristic order vibration and noise data under different parameters, and determine a statistic that can reflect the impact of the parameters on both, such as the mean square error ratio of noise and vibration as a control parameter.

[0062] Step S30, determining a control index for harmonic current injection according to the control parameter;

[0063] It should be noted that the control index is a reference value used to quantitatively guide the harmonic current injection control. Determining the control index according to the control parameter means determining an index reference value that can quantitatively guide the harmonic current injection to achieve the optimization effect according to the influence of the harmonic current on vibration and noise reflected by the control parameter.

[0064] Specifically, this step is performed after the control parameters are determined. According to the obtained control parameter value, an index parameter needs to be set. This index can be determined according to two methods: one is to determine it with reference to the numerical range of the control parameter; the other is to determine it in conjunction with the subjective noise perception evaluation. For example, the normal value range of the control parameter can be determined in advance, and the range boundary value can be selected as an indicator; or the correspondence between the index parameter and the optimal harmonic current control parameter can be determined through a subjective noise evaluation experiment. Finally, the determined index reference value is used to guide the harmonic current injection control, so that the control parameters can reach or approach the motor working state corresponding to this index when the motor is working.

[0065] In some embodiments, this can be achieved in the following two ways:

[0066] Method 1: Determine the ideal value range according to the numerical distribution of the control parameter, and select the optimal control parameter in this range as the indicator, that is, the control parameter is controlled within the optimal range.

[0067] Method 2: Conduct a subjective noise evaluation test to obtain the corresponding relationship between the control parameter value and noise perception. Select the control parameter with the best noise perception effect of the subject as the indicator parameter.

[0068] In general, the present application obtains the characteristic order vibration data and characteristic order noise data of the motor, then establishes the control parameters for optimizing NVH by harmonic current injection according to the characteristic order vibration data and the characteristic order noise data, and finally determines the control index of harmonic current injection according to the control parameters. This group of control indexes can identify the optimal harmonic current control parameters for the electric drive NVH performance during the harmonic injection process. On the one hand, this group of control indexes can separate the influencing factors of non-torque fluctuations, such as the influence of Y-axis vibration on the harmonic injection effect, and identify the noise outlier operating points caused by non-torque fluctuations, so as to take other measures to improve them; on the other hand, even if there is the influence of non-torque fluctuations, the control index can also identify the optimal harmonic injection control parameters for vibration noise.

[0069] This group of control indicators can be used to evaluate in real time the degree of improvement of the electric drive order vibration noise caused by harmonic injection itself. The optimal harmonic injection parameters will not be missed or misjudged, which can improve the efficiency and accuracy of harmonic injection optimization of the electric drive assembly. The technical problem of how to identify the optimal harmonic current control parameters for the electric drive NVH performance during the harmonic injection process is solved.

[0070] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction, and will not be repeated in the following. Figure 2 Based on the first embodiment, this embodiment provides a more specific method for determining the harmonic current injection control index as follows:

[0071] Step S101, setting a plurality of vibration measuring points and a plurality of noise measuring points on the surface of the motor;

[0072] It should be noted that the vibration measurement point is the installation position of the sensor used to detect the vibration on the surface of the motor. By setting multiple vibration measurement points, vibration signals at different positions when the motor is running can be collected to analyze the vibration mode of the motor. The noise measurement point is the installation position of the sensor used to detect the motor noise. By setting multiple noise measurement points, the distribution of the motor noise can be collected. This step is to determine the positions of multiple vibration measurement points and multiple noise measurement points on the surface of the motor to collect vibration signals and noise signals when the motor is running.

[0073] Specifically, this step first needs to select multiple suitable positions on the motor surface to install vibration sensors according to the results of the structural dimensions and vibration mode analysis of the motor, wherein the symmetry of the motor structure needs to be considered, and sensors are arranged at symmetrical positions on the left and right sides. At the same time, it is necessary to select multiple noise sensors on the motor surface corresponding to the internal noise source according to the noise characteristics of the motor. Preferably, the vibration measurement points are preferably arranged at the positions of each bearing of the motor. For the semi-anechoic chamber, the noise measurement points are preferably arranged at a position of 1m on the motor surface, and for the whole vehicle, they are arranged at a distance of 10cm from the motor housing. The number of vibration sensors is generally 1-5, preferably 1. Piezoelectric acceleration sensors, etc. can be used; the number of noise sensors is 1-9, and microphones or sound intensity meters can be used. The installation of sensors needs to ensure that the relative position and direction between the measurement points meet the test requirements. The execution time of this step is in the motor test preparation stage, and the measurement point arrangement needs to be completed before the running test.

[0074] In some embodiments, the determination and arrangement of sensor measurement points can be achieved in the following two ways:

[0075] Method 1: Estimate the sensor position based on experience and install the sensor manually. You can first use a small number of sensors for test and analyze the signal quality to adjust the sensor position.

[0076] Method 2: First, use simulation numerical analysis to determine the ideal optimal layout of the sensor, and then use an automated robotic arm to accurately install the sensor automatically, so that the orientation and position of each sensor are highly consistent. This method can improve the accuracy and efficiency of sensor layout.

[0077] Step S102, selecting a plurality of torque operating points and a plurality of speed operating points;

[0078] The torque operating point refers to the operating condition where different torques are applied to the motor; the speed operating point refers to the operating condition where the motor runs at different speeds. This step is to determine multiple representative speed operating points and torque operating points in the normal operating range of the motor to set the test conditions of the motor.

[0079] Specifically, this step first needs to determine the allowable speed range and loading torque range of the motor according to its design parameters and usage requirements, and then select several typical speed points and torque points within these two ranges as test operating points. When selecting, it is necessary to consider the matching relationship between speed and torque so that their combination can cover the main working area of ​​the motor. Common methods include: uniform distribution selection, such as dividing the speed range and torque range into equal parts and then combining them. Key area selection, selecting more points in the main use area of ​​the motor. Special point selection, such as special points such as maximum speed, rated speed and static torque. Empirical selection, determining suitable speed and torque points based on experience. This step requires determining these operating points during the design phase for subsequent testing.

[0080] In some embodiments, the operating point can be determined in the following two ways:

[0081] Method 1: According to standard specifications and usage experience, select a reasonable number of speed and torque points according to a certain distribution strategy, such as 10 speeds, 5 torques, and a total of 50 working conditions.

[0082] Method 2: Fully consider the motor characteristics and usage requirements, and use the operating condition analysis software to determine the speed and torque point distribution so that it can fully cover the main working area of ​​the motor, such as 15 speeds, 8 torques, and a total of 120 operating points.

[0083] Regardless of the method, the obtained multiple speed-torque operating point combinations need to be able to fully represent the various states that may occur during motor operation, laying the operating condition foundation for subsequent motor testing.

[0084] Step S103, determining different operating conditions according to the torque operating point and the speed operating point;

[0085] Among them, different working conditions refer to all test working condition combinations formed by combining multiple predetermined speed working points and torque working points in pairs. This step is to systematically generate all working conditions that need to be tested after obtaining specific speed working points and torque working points.

[0086] Specifically, this step obtains several speed operating points such as n1, n2, n3, etc., and several torque operating points such as t1, t2, t3, etc. Then, all speed and torque points are systematically combined in pairs, such as (n1, t1), (n1, t2), (n2, t1), (n3, t2), etc., to form all the operating conditions that need to be tested. This step is generally performed after obtaining the speed torque points. Its purpose is to clarify all the operating conditions that need to be tested by listing the combinations of various operating points, so as to prepare for subsequent actual tests.

[0087] In some embodiments, the working condition combination can be achieved in the following two ways:

[0088] Method 1: Manually list all speed and torque point combinations and write out all working conditions one by one. This method is simple and direct, but the workload is large when there are many combinations.

[0089] Method 2: Write a program to automatically generate all working condition combinations. You only need to enter the speed point and torque point, and the program can automatically calculate the full combination. This method is efficient and can quickly generate a large number of working conditions.

[0090] Regardless of the method, the purpose of this step is to generate all the working conditions that need to be tested. After listing each working condition, a test condition table can be formed to prepare for the subsequent setting of working conditions and data collection to improve the efficiency of the test work.

[0091] Step S104, measuring the characteristic order vibration data of each vibration measuring point and the characteristic order noise data of the noise measuring point in all working conditions;

[0092] The characteristic order vibration data refers to the vibration signal of a specific frequency component when the motor is running, which is collected and analyzed from the vibration measurement point under the test condition; the characteristic order noise data refers to the noise of the frequency component corresponding to the characteristic order vibration obtained from the noise measurement point. This step measures and collects the corresponding characteristic order vibration data and characteristic order noise data for each test condition preset in step S103.

[0093] Specifically, this step first sets and starts specific working conditions one by one according to the predetermined test working condition table. After the motor runs stably, the arranged vibration sensors and noise sensors are used to collect the original vibration and noise signals of each measuring point. Then, the signal is analyzed using signal analysis technology, such as FFT, to extract the characteristic frequency components, and the corresponding vibration amplitude and noise amplitude are recorded as the characteristic order vibration data and characteristic order noise data of the working condition. All predetermined working conditions are tested, and finally the characteristic order vibration and noise data under each working condition are obtained. The execution time is during the working condition test stage.

[0094] In some embodiments, this step can be achieved in two ways:

[0095] Method 1: Manually configure each working condition, start the test bench, use sensors to collect signals, and manually read and record characteristic order data.

[0096] Method 2: Using an automated test bench system, you can pre-program and input various working conditions. The system automatically controls loading and speed, and simultaneously collects, analyzes and processes characteristic order vibration and noise data without human intervention.

[0097] Regardless of the method, it is ultimately necessary to obtain the data on characteristic order vibration and noise under each preset operating condition in order to establish a characteristic order mapping of the entire working area of ​​the motor, laying the foundation for the subsequent analysis of the corresponding relationship between vibration and noise.

[0098] Step S201, separating the vibration data of the characteristic order vibration data in the X, Y, and Z directions of the plurality of vibration measurement points to obtain a ,y a and z a ;

[0099] Among them, characteristic order vibration data refers to the vibration signal within a specific frequency range that needs to be analyzed and processed, which is collected from the vibration measurement points on the motor surface and obtained through signal analysis under a certain test condition; the vibration data in the X, Y, and Z directions refers to the vibration acceleration signals in the three spatial coordinate axis directions detected by the vibration sensor respectively; a ,y a and z a It means that the vibration acceleration components in each coordinate axis direction are decomposed after the collected composite vibration signal containing three-axis components. This step obtains the characteristic order vibration data in each axis direction by splitting, and the purpose is to analyze the vibration mode and vibration source of the motor in all directions.

[0100] Specifically, this step first requires obtaining the composite vibration signal collected from multiple vibration measuring points under the test conditions, which contains the vibration synthesis information of the three coordinate axis directions of the measuring point. Then, using signal processing technology, such as multi-channel analysis, etc., according to the directional sensitivity of the sensor, the complex composite vibration signal is split and decomposed into the vibration component in the positive direction of the X axis; a , the component y in the positive direction of the Y axis a , and the component z in the positive direction of the Z axis a After the above processing, the characteristic order vibration data of each vibration measuring point in the individual direction under the working condition can be obtained. This step needs to be performed after obtaining the composite vibration signal.

[0101] The reason for decomposing into three directions of the coordinate axis is that the motor torque fluctuation mainly acts on the X and Z directions of the electric drive, and the Y direction is the motor axial direction, which is generally not affected by the motor torque. However, in order to meet the increasingly stringent requirements of carrying and lightweight, the integration trend of passenger car electric drive assemblies is obvious, and there are already 7-in-1 or even 10-in-1 passenger car electric drive mass-produced products on the market. Since the Y-direction stiffness of these newly integrated housings, including the motor end cover (junction box) and the controller housing, is weak, even a small Y-direction excitation will cause a large Y-direction vibration. In fact, due to the influence of the oblique level, shaft system dynamic balance, helical teeth and electric drive shaft teeth, the electric drive assembly manufactured and produced will generate a certain axial force. Therefore, under certain working conditions, the problem of radiation noise caused by large Y-direction vibration is objectively present in the electric drive. Therefore, for the optimization efficiency and accuracy of harmonic injection, the vibration component of the Y-axis is of little reference significance. Therefore, in the following data processing process, this scheme treats the Y-axis data as interference data.

[0102] In some embodiments, this step can be achieved in the following two ways:

[0103] Method 1: Use a three-axis sensor to collect vibration signals in all directions, and then separate the vibration components of each axis through multi-channel analysis technology.

[0104] Method 2: Use three single-axis sensors to measure the vibration signals in the X, Y, and Z directions of the spatial coordinates respectively, and directly obtain the vibration data in each axis direction.

[0105] Through this step, the characteristic order vibration information of each measuring point of the motor in different directions can be obtained respectively, which is convenient for subsequent analysis of the vibration source and taking targeted improvement measures, providing data support for vibration and noise reduction.

[0106] Step S202, treating the vibration data of the vibration measuring point in the X direction and the vibration data of the vibration measuring point in the Z direction as valid data, and performing weighted processing to obtain the valid vibration parameter;

[0107] Among them, since the motor torque fluctuation mainly acts on the X and Z directions of the electric drive, the vibration data in the X direction and the vibration data in the Z direction of the vibration measuring point are selected as valid data. The vibration data in the X direction of the vibration measuring point refers to the vibration signal of the motor detected by the vibration measuring point along the positive direction of the spatial X axis, including the vibration component in the X-axis direction within the specific frequency range of the measuring point; the vibration data in the Z direction is defined similarly. Preferably, refer to the following formula:

[0108]

[0109] Here V t Represents the effective vibration parameters after aggregation, x1~x a 、z1~za They represent the characteristic order vibration data of the X-axis and Z-axis directions detected by the vibration measurement points numbered 1 to a. This formula can effectively improve the effective signal, that is, the proportion of the X-axis and Z-axis vibrations in each vibration test point in the calculation, by performing root mean square aggregation and averaging of the X-axis and Z-axis vibrations of each measurement point, so that the result can more accurately reflect the effective vibration level of the motor.

[0110] Specifically, this step first needs to obtain the characteristic order vibration data of the X-axis and Z-axis directions of multiple vibration measurement points after preprocessing. There are a total of a measurement points, and the X-axis data of the measurement points are recorded as x1~x a , Z-axis data is recorded as z1~z a Then, according to the above formula, the X-axis and Z-axis vibration data of each measuring point are summed up and averaged. Specifically, the vibration data of each axis direction is squared, then summed, and then squared and divided by 2a (a is the number of measuring points). The proportion of the X-axis and Z-axis vibration data in each vibration test point in the calculation is obtained, so that a parameter V that can better express the effective vibration level of the motor is obtained. t This step needs to be performed after obtaining the pre-processed vibration data of each axis.

[0111] The purpose of using the RMS algorithm is to increase the proportion of effective signals so that the obtained parameter V t More accurately represent the main effective vibration level of the motor, laying the foundation for subsequent vibration mode analysis. In some embodiments, this step can be implemented in the following two ways:

[0112] Method 1: If the weights of the data at each measuring point are the same, a can be directly set to the number of measuring points, and V can be obtained by simple averaging. t .

[0113] Method 2: If the weights of the data at each measuring point are different, the weight coefficient of each measuring point can be determined in advance, and then the weights are superimposed in the formula, that is, the square data of each measuring point is weighted and then V is calculated. t .

[0114] Through this step, the root mean square algorithm can be used to quantify the parameter Vt that expresses the effective vibration level of the motor, providing data support for subsequent vibration mode analysis and noise generation mechanism research.

[0115] Step S203, treating the vibration data of the vibration measuring point in the Y direction as interference data, and performing weighted processing to obtain the interference vibration parameter;

[0116] The vibration data in the Y direction of the vibration measuring point refers to the vibration signal of the motor detected by the vibration measuring point in the positive direction of the Y axis of the space, including the vibration components within a specific frequency range in the Y axis direction at the measuring point. Preferably, refer to the following formula:

[0117]

[0118] Here V y Represents the aggregated interference vibration parameters, y1~y a It represents the characteristic order vibration data of the Y-axis direction detected by the vibration measuring points numbered from 1 to a. This formula can increase the proportion of the interference signal, i.e., the Y-axis vibration, in the calculation by performing RMS summing and averaging processing on the Y-axis vibration of each measuring point, so that the result can more accurately reflect the interference vibration level of the motor.

[0119] Specifically, this step first obtains the characteristic order vibration data of the Y-axis direction of multiple vibration measurement points after preprocessing. There are a total of a measurement points, and the Y-axis data of the measurement points are recorded as y1~y a Then, according to formula (2), the Y-axis vibration data of each measuring point is summed up and averaged by the root mean square, that is, first squared and then summed, then squared, and finally divided by a (a is the number of measuring points). This can emphasize the proportion of the Y-axis vibration data of the interference signal in the calculation, and obtain a parameter V that can express the motor interference vibration level. y This step needs to be performed after obtaining the pre-processed Y-axis vibration data.

[0120] The purpose of using the RMS algorithm is to increase the proportion of interference signals so that the obtained parameter V y More accurately represent the interference vibration level of non-main sections in the motor, laying the foundation for subsequent vibration mode analysis. In some embodiments, this step can be implemented in the following two ways:

[0121] Method 1: If the weights of the data at each measuring point are the same, you can directly take a as the number of measuring points and use simple averaging to obtain V y .

[0122] Method 2: If the data weights of each measuring point are different, the weight of each measuring point can be determined in advance, and V can be calculated after the data weighting. y .

[0123] Through this step, the root mean square algorithm can be used to quantify the parameter Vy that expresses the motor interference vibration level, providing data support for subsequent vibration source differentiation and noise prediction analysis.

[0124] Step S204, determining the vibration ratio control parameter according to the effective vibration parameter and the interference vibration parameter;

[0125] Among them, the effective vibration parameter V t It is a reference parameter indicating the effective vibration level in the motor; the interference vibration parameter V y It is a parameter indicating the invalid or interfering vibration level in the motor; the vibration ratio control parameter H_i is based on V tand V y The calculated control index reflecting the vibration performance of the motor is preferably obtained by referring to the following formula.

[0126] H i =V t / V y

[0127] Here H i represents the vibration ratio control parameter, Vt represents the effective vibration parameter, V y Represents the disturbing vibration parameter. The formula uses the ratio of the two to better reflect the relative level and proportional relationship between effective vibration and disturbing vibration, avoiding the limitation of single parameter evaluation.

[0128] Specifically, this step first needs to obtain the parameter V representing the effective vibration level through steps S202 and S203 respectively. t and the parameter V representing the disturbing vibration level y Then, according to formula (3), calculate V t With V y The ratio of H is used as an index parameter for evaluating and controlling the vibration performance of the motor. i Here Vt is used as the numerator to emphasize the effect of effective vibration on H i The calculation process is to obtain V t and V y Parameters are executed.

[0129] Calculate H using the ratio method i The purpose is to reflect the relative level of effective vibration and interference vibration of the motor and avoid the limitation of single parameter evaluation. i The larger the value, the higher the effective vibration ratio and the better the vibration performance of the motor. It can also indicate whether the interfering vibration is obvious.

[0130] In some embodiments, the vibration ratio control parameter H is calculated i This can be achieved in two ways:

[0131] Method 1: Simple calculation of V t With V y The numerical ratio of H i .

[0132] Method 2: Consider V t and V y Due to the difference in measurement units, make appropriate dimensional adjustments before calculating the ratio, and then calculate H i .

[0133] Through this step, the control parameter H reflecting the vibration performance of the motor can be obtained. i, providing reference values ​​for subsequent evaluation of vibration levels and improved control.

[0134] Step S205, averaging the characteristic order noise data in a plurality of the noise measurement points to obtain the noise parameters;

[0135] The characteristic order noise data is the noise signal within a specific frequency range detected by each noise measurement point and needs to be analyzed and processed; the noise parameter L p It is a reference parameter representing the overall noise level after the data of multiple noise measurement points are aggregated and processed. Preferably, refer to the following formula.

[0136]

[0137] Here L p represents the synthesized noise parameters, p1~p b It represents the characteristic order noise data collected from b noise measurement points. This formula can realize the reasonable summary of noise data by taking the logarithm of the noise at each point, then calculating the root mean square and averaging.

[0138] Specifically, this step first obtains characteristic order noise data p1~p detected by multiple noise measurement points after preprocessing. b Then, the base 10 logarithm of the noise data of each measuring point is taken in turn; the processed logarithmic values ​​are squared and summed; the square root of the sum is taken and divided by the number of measuring points b; and finally, the base 10 logarithm is taken again. After a series of processing, the parameter L representing the overall noise level can be obtained. p This calculation is performed after obtaining the noise data of each measuring point.

[0139] The purpose of using this algorithm is to achieve reasonable weighting of the noise data at each point through logarithmic and RMS operations, so that the synthetic noise parameter L p It can more accurately reflect the overall noise level of the motor and provide a basis for subsequent noise control. In some embodiments, L is calculated p This can be achieved in two ways:

[0140] Method 1: If the noise data weights of each measuring point are the same, directly perform equal weight calculation.

[0141] Method 2: Determine the weights of different points based on factors such as location, and perform weighted superposition to synthesize L p .

[0142] Through this step, the logarithmic and RMS algorithms can be applied to obtain the parameter L representing the overall noise level p , providing evaluation basis and control reference for subsequent improvement of noise performance.

[0143] Step S301, when the vibration ratio control parameter is less than a first preset value, determining the effective vibration parameter, the vibration ratio control parameter and the noise parameter as the control index;

[0144] Among them, the vibration ratio control parameter is a control index representing the vibration performance of the motor calculated based on the effective vibration parameter and the interference vibration parameter; the first preset value is a threshold for judging the value of the vibration ratio control parameter, which can be determined according to the actual situation; the effective vibration parameter represents the magnitude of the effective vibration of the motor, i.e., the vibration caused by the main torque excitation; the noise parameter represents the parameter representing the overall noise level after integrating multiple noise measurement points. This step is to use the effective vibration parameter, the vibration ratio control parameter and the noise parameter as the evaluation indexes of vibration and noise control at the same time when the vibration ratio control parameter meets the smaller condition.

[0145] Specifically, harmonic injection mainly improves tangential force, which is the main source of tangential force when the motor torque fluctuates. The effective vibration parameter represents the contribution of tangential force to vibration. If the noise parameter representing the noise level is linearly correlated with the effective vibration parameter representing the tangential vibration, the noise mainly comes from the tangential force, and the vibration ratio control parameter is also small. The noise parameter and the effective vibration parameter (or vibration ratio control parameter) will change significantly in real time with the change of the harmonic injection parameter, which can indicate the identification of the optimal harmonic injection parameter combination for vibration and noise.

[0146] Through this step, when the vibration ratio control parameter is small, the effective vibration parameter, vibration ratio parameter and noise parameter are used together as control indicators, which can make the vibration and noise control evaluation more comprehensive, conduct a comprehensive quantitative analysis of the overall vibration and noise performance of the motor, and guide subsequent control optimization.

[0147] Step S302, when the vibration ratio control parameter is greater than or equal to a first preset value, determining the effective vibration parameter and the vibration ratio control parameter as the control index;

[0148] Specifically, when the correlation analysis between noise parameters and effective vibration parameters shows obvious outliers, that is, the outliers indicate that the noise parameters are significantly larger at the same effective vibration parameter value level, the vibration noise of the outlier operating point changes with the harmonic current control angle, and the valleys of vibration and noise appear at different current angles, and the noise is insensitive to the current angle. The Y-direction vibration of these outliers is significantly higher than that of the X and Z directions, that is, when the vibration ratio control parameter is large, the noise improvement of harmonic injection control is not obvious under this state, indicating that the reduction of torque fluctuation is not the main source of noise contribution of the outlier. Under these discrete working conditions, although the noise is not reduced, the use of effective vibration parameters of the control index can scan the optimal harmonic parameters, and its effect can also be reflected in the improvement of other major noise contribution sources. After the vibration of the interfering vibration parameters is improved, the same harmonic parameters can still effectively improve the radiation noise.

[0149] Therefore, when the vibration ratio control parameter is large, the optimal harmonic parameters may be misidentified through the change of noise parameters with the harmonic control parameters. The noise problems caused by non-torque fluctuations can be effectively identified through effective vibration parameters. After these non-torque fluctuation noise problems are improved, harmonic injection will be performed, and the effect on noise will be more obvious.

[0150] In general, in the embodiment of the present application, by acquiring the characteristic order vibration data and characteristic order noise data of the motor, analyzing the influence of different direction components on the system noise, distinguishing the effective part and the interference part of the vibration signal, and establishing the control parameters that take into account the motor structure and fluctuation characteristics, it is possible to accurately identify the characteristic order components that have a significant impact on the motor noise, and specifically determine the optimal harmonic current control parameters that can optimize vibration and noise at the same time. This method of data modeling and parameter determination based on characteristic orders effectively utilizes the structural characteristic information of the motor, can distinguish the effects of different vibration directions, solves the problem that the existing methods cannot accurately determine the optimal control parameters, and achieves a significant improvement in the efficiency and accuracy of identifying motor noise control parameters while making full use of the structural characteristics of the motor, laying a solid data foundation for the motor harmonic current injection control. Its innovation lies in that the present invention proposes a set of control indicators, through which the harmonic current control parameters that are optimal for the electric drive NVH performance during the harmonic injection process can be identified. On the one hand, this group of control indicators can separate the influencing factors of non-torque fluctuations, such as the impact of Y-axis vibration on the harmonic injection effect, and identify the noise outlier operating points caused by non-torque fluctuations so as to take other measures to improve them; on the other hand, even if there is the influence of non-torque fluctuations, this control indicator can also identify the optimal harmonic injection control parameters for vibration noise.

[0151] Based on the first and second embodiments of the present application, in the third embodiment of the present application, the same or similar contents as those of the above-mentioned first and second embodiments can be referred to the above introduction, and will not be described in detail later. Figure 3 Based on the harmonic current injection control index, this embodiment provides a solution for identifying the optimal harmonic current control parameter according to the control index, as follows:

[0152] Step S401, when the vibration ratio control parameter is less than a first preset value, identifying an optimal harmonic current control parameter according to the effective vibration parameter and the noise parameter;

[0153] It should be noted that, first of all, the smaller the vibration ratio control parameter is, the better the vibration performance of the motor is, the more effective vibration dominates the overall vibration, and the more interference vibration exists is relatively small. At this time, the main source of motor noise is caused by effective vibration, while interference vibration does not contribute much to noise. Therefore, the noise parameter can represent the main factor reflecting noise, that is, the noise caused by effective vibration.

[0154] Secondly, in this case where the vibration performance is good and the noise mainly comes from effective vibration, in order to comprehensively consider and double optimize the vibration and noise performance of the motor, it is necessary to use the parameters representing effective vibration and the parameters representing noise as the basis for identifying the optimal harmonic current control parameters. In other words, when testing different combinations of harmonic current parameters, it is necessary to pay attention to and record the impact of this group of parameters on the effective vibration parameters and noise parameters at the same time, and finally select a group of harmonic current parameters that can maximize the improvement of the vibration and noise of the motor.

[0155] Step S402, when the vibration ratio control parameter is greater than or equal to a first preset value, identifying an optimal harmonic current control parameter according to the effective vibration parameter;

[0156] It should be noted that, firstly, a value greater than or equal to the threshold value indicates that the motor has significant interference vibration, and the effective vibration no longer dominates the overall vibration. At this time, the noise of the motor comes not only from the effective vibration, but also from other noise components caused by interference vibration. Therefore, if the parameter representing the total noise level is still used to identify the optimal harmonic current, the identification result may be inaccurate due to the presence of interference vibration.

[0157] Secondly, in the presence of obvious interfering vibration, in order to avoid the influence of other interfering factors, only the parameters representing effective vibration should be used as the basis for identifying the optimal harmonic current parameters. In other words, when testing different harmonic current parameters, only the influence of each parameter on the effective vibration parameter needs to be paid attention to, and a harmonic current parameter combination that minimizes the effective vibration parameter should be selected.

[0158] In this way, by optimizing and reducing only effective vibration, vibration can be reduced from the source, and the corresponding noise caused by it will also be significantly improved. When there is interference vibration, this identification method based only on effective vibration parameters can avoid the influence of interference factors and make the selection of optimal harmonic current control parameters more accurate and effective.

[0159] Step S403, when the vibration ratio control parameter is greater than or equal to a first preset value, improving the vibration of the vibration measuring point in the Y direction so that the vibration ratio control parameter is less than the first preset value;

[0160] Among them, the vibration ratio control parameter represents an index of the motor vibration performance; the first preset value is the threshold for judging the parameter; the vibration data in the Y direction of the vibration measuring point is the vibration signal in the positive direction of the Y axis at the motor vibration measuring point. The purpose of this step is to reduce the ratio by improving the Y-direction vibration when the vibration ratio parameter is greater than the threshold.

[0161] Specifically, this step first calculates the vibration ratio control parameter of the motor and determines whether it is greater than or equal to a preset first threshold. If so, it means that there is a certain interference vibration and measures need to be taken to improve it. Since the Y-direction vibration is mainly an interference vibration, it is necessary to improve the Y-direction vibration data of each vibration measuring point through mechanical adjustment and other methods to reduce the Y-direction vibration. Thereby, the interference vibration parameter can be reduced and the vibration ratio control parameter can be reduced. If the parameter meets the requirements, end this step. This step is performed after judging that the vibration ratio is greater than the threshold.

[0162] It is easy to understand that the vibration ratio control parameter reflects the relative level of effective vibration and interference vibration of the motor. When this parameter is greater than the preset threshold, it means that there is a relatively obvious interference vibration, which will have a negative impact on the subsequent vibration control. The Y-direction vibration of the motor is mainly interference vibration, not the main component of effective vibration. Therefore, when the parameter is greater than the threshold, it is necessary to improve the Y-direction vibration data to reduce the proportion of interference vibration. The improvement of Y-direction vibration can be achieved by optimizing the layout position and direction of the vibration sensor, checking the motor structure and making mechanical adjustments. Through these targeted improvements to the Y-direction vibration, the parameters of the interference vibration can be directly reduced, thereby lowering the vibration ratio control parameter. When this parameter is reduced below the threshold, it means that the influence of the interference vibration is acceptable and controllable. At this time, optimizing the injection of harmonic current according to the effective vibration and noise parameters can avoid the influence of interference vibration and make the vibration and noise control of the system more accurate and efficient.

[0163] Step S404, when the vibration ratio control parameter is less than a first preset value, executing the step of identifying the optimal harmonic current control parameter by using the effective vibration parameter and the noise parameter;

[0164] This step may refer to step S401 and will not be described in detail here.

[0165] In general, in the embodiment of the present application, by distinguishing the high and low conditions of the vibration ratio parameter, when the vibration is mainly based on the effective part, the optimal harmonic current is identified according to the effective vibration and noise dual parameters, and when there is obvious interference vibration, only the effective vibration parameter is used to determine the optimal harmonic current separately, and the Y-direction interference vibration is improved first when necessary, so that the most suitable determination method can be selected according to the actual vibration situation, which effectively solves the problem that the existing method cannot cope with complex vibration situations and cannot accurately identify the optimal harmonic current parameters, and achieves the effect of making the determination of harmonic current injection control parameters more flexible and accurate. Its innovation lies in that it proposes an idea of ​​determining the optimal harmonic current according to the vibration condition classification, considering the vibration and noise parameters when the interference vibration is small, and only considering the effective vibration when the interference vibration is obvious; its beneficial effect is that the scheme makes the harmonic current parameter identification more in line with the actual situation, and the accuracy and pertinence are improved, which provides an effective reference for the motor vibration and noise control.

[0166] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the method for determining the harmonic current injection control index of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0167] The present application provides a device for determining a harmonic current injection control index, and the device for determining a harmonic current injection control index includes: at least one processor; and a memory that is communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method for determining the harmonic current injection control index in the above-mentioned embodiment one.

[0168] Reference below Figure 4 , which shows a schematic diagram of the structure of a device for determining the harmonic current injection control index suitable for implementing the embodiment of the present application. The device for determining the harmonic current injection control index in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 4The device for determining the harmonic current injection control index shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0169] like Figure 4 As shown, the device for determining the harmonic current injection control index may include a processing device 1001 (such as a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM: Read Only Memory) 1002 or the program loaded from the storage device 1003 to the random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the xxx device are also stored. The processing device 1001, ROM1002 and RAM1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems can be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touch pad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the harmonic current injection control index determination device to communicate with other devices wirelessly or by wire to exchange data. Although the figure shows a harmonic current injection control index determination device with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems can be implemented or have alternatively.

[0170] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0171] The device for determining the harmonic current injection control index provided by the present application adopts the method for determining the harmonic current injection control index in the above-mentioned embodiment, which can solve the technical problem of how to identify the harmonic current control parameters that are optimal for the electric drive NVH performance during the harmonic injection process. Compared with the prior art, the beneficial effects of the device for determining the harmonic current injection control index provided by the present application are the same as the beneficial effects of the method for determining the harmonic current injection control index provided by the above-mentioned embodiment, and the other technical features in the device for determining the harmonic current injection control index are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0172] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0173] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0174] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, the computer-readable program instructions being used to execute the method for determining the harmonic current injection control index in the above-mentioned embodiment.

[0175] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0176] The computer-readable storage medium may be included in the device for determining the harmonic current injection control index; or may exist independently without being assembled into the device for determining the harmonic current injection control index.

[0177] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0178] The readable storage medium provided in the present application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned method for determining the harmonic current injection control index, and can solve the technical problem of how to identify the harmonic current control parameters that are optimal for the electric drive NVH performance during the harmonic injection process. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in the present application are the same as the beneficial effects of the method for determining the harmonic current injection control index provided in the above-mentioned embodiment, and will not be repeated here.

[0179] The present application also provides a computer program product, including a computer program, which implements the steps of the method for determining the harmonic current injection control index as described above when the computer program is executed by a processor.

[0180] The computer program product provided in this application can solve the technical problem of how to identify the optimal harmonic current control parameters for electric drive NVH performance during harmonic injection. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as the beneficial effects of the method for determining the harmonic current injection control index provided in the above embodiment, which will not be repeated here.

[0181] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A method for determining a harmonic current injection control index, characterized in that: The method for determining the harmonic current injection control index includes: Acquire characteristic order vibration data and characteristic order noise data of the motor; Establishing control parameters for harmonic current injection optimization of NVH according to the characteristic order vibration data and the characteristic order noise data; A control index for harmonic current injection is determined according to the control parameter.

2. The method according to claim 1, characterized in that The step of obtaining characteristic order vibration data and characteristic order noise data of the motor specifically includes: Several vibration measuring points and several noise measuring points are set on the surface of the motor; Select several torque operating points and several speed operating points; Determining different operating conditions according to the torque operating point and the speed operating point; The characteristic order vibration data of each vibration measuring point and the characteristic order noise data of each noise measuring point are measured in all working conditions.

3. The method according to claim 2, characterized in that The control index includes: effective vibration parameters, interference vibration parameters, vibration ratio control parameters and noise parameters. The step of establishing the control parameter of harmonic injection optimization NVH according to the characteristic order vibration data and the characteristic order noise data specifically includes: Separate the vibration data in the X, Y, and Z directions of the characteristic order vibration data in the vibration measurement points to obtain x a ,y a and z a , where x a Indicates the vibration data of the vibration measuring point in the X direction, y a represents the vibration data of the vibration measuring point in the Y direction, z a Represents the vibration data of the vibration measuring point in the Z direction; The vibration data of the vibration measuring point in the X direction and the vibration data of the vibration measuring point in the Z direction are regarded as valid data, and weighted processing is performed to obtain the valid vibration parameter; The vibration data in the Y direction of the vibration measuring point is regarded as interference data, and weighted processing is performed to obtain the interference vibration parameter; Determining the vibration ratio control parameter according to the effective vibration parameter and the interference vibration parameter; The characteristic order noise data in a plurality of the noise measuring points are averaged to obtain the noise parameters.

4. The method according to claim 3, characterized in that The step of determining the control index according to the control parameter specifically includes: When the vibration ratio control parameter is less than a first preset value, determining the effective vibration parameter, the vibration ratio control parameter and the noise parameter as the control index; When the vibration ratio control parameter is greater than or equal to a first preset value, the effective vibration parameter and the vibration ratio control parameter are determined as the control index.

5. The method according to claim 4, characterized in that The step of determining the control index according to the control parameter then comprises: Optimal harmonic current control parameters are identified according to the control index to improve the optimization efficiency and accuracy of harmonic injection.

6. The method according to claim 5, characterized in that The step of identifying the optimal harmonic current control parameter according to the control index specifically includes: When the vibration ratio control parameter is less than a first preset value, identifying an optimal harmonic current control parameter according to the effective vibration parameter and the noise parameter; When the vibration ratio control parameter is greater than or equal to a first preset value, an optimal harmonic current control parameter is identified according to the effective vibration parameter.

7. The method according to claim 6, characterized in that When the vibration ratio control parameter is greater than or equal to a first preset value, the step of identifying the optimal harmonic current control parameter according to the effective vibration parameter further includes: When the vibration ratio control parameter is greater than or equal to a first preset value, improving the vibration of the vibration measuring point in the Y direction so that the vibration ratio control parameter is less than the first preset value; When the vibration ratio control parameter is less than a first preset value, the step of identifying an optimal harmonic current control parameter using the effective vibration parameter and the noise parameter is performed.

8. A device for determining a harmonic current injection control index, characterized in that: The device for determining the harmonic current injection control index includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the method for determining the harmonic current injection control index as described in any one of claims 1 to 7.

9. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the method for determining the harmonic current injection control index according to any one of claims 1 to 7 are implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the method for determining the harmonic current injection control index according to any one of claims 1 to 7 are implemented.

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