Vehicle noise analysis method, device, equipment and storage medium

Abstract

The present invention relates to a vehicle noise analysis method, device, equipment, and storage medium, comprising: obtaining vehicle operating data and in-vehicle noise data; wherein the operating data represents the operating status of preset devices in the vehicle, and the in-vehicle noise data represents the correlation between the switching frequency of the noise and the motor speed; determining noise concern information based on the operating data and the in-vehicle noise data; wherein the noise concern information represents the switching frequency and motor speed of interest for analyzing the switching frequency modulation order noise of the vehicle's electric drive; and analyzing the switching frequency modulation order noise based on the noise concern information to obtain an analysis result; wherein the analysis result represents the degree of prominence of the switching frequency modulation order noise in the vehicle. This method achieves automatic analysis and evaluation of the switching frequency modulation order noise, improving the efficiency and accuracy of noise analysis.

Description

Technical Field

[0001] The present invention relates to the technical field of automobile noise testing, and in particular to a vehicle noise analysis method, device, equipment and storage medium. Background Art

[0002] When an electric vehicle is driving, the DC voltage from the battery can be converted into a sinusoidal AC voltage and loaded onto the drive motor to control the motor speed and drive the vehicle.

[0003] This motor drive method generates switching frequency modulation order noise. Due to its high frequency, switching frequency modulation order noise is perceived as harsh by the human senses, easily causing complaints from passengers and affecting the overall driving experience. Therefore, it is necessary to accurately evaluate the vehicle's switching frequency modulation order noise to reduce noise and improve the riding experience. Summary of the Invention

[0004] The object of the present invention is to provide a vehicle noise analysis method, device, equipment and storage medium to improve the efficiency and accuracy of noise analysis.

[0005] In a first aspect, the present invention provides a method for analyzing vehicle noise, comprising:

[0006] Acquiring vehicle operating data and interior noise data; wherein the operating data represents the operating conditions of preset devices in the vehicle, and the interior noise data represents the correlation between the switching frequency of the interior noise and the motor speed;

[0007] Determining noise concern information based on the operating data and the in-vehicle noise data; wherein the noise concern information represents a switching frequency and a motor speed that require attention for analyzing switching frequency modulation order noise of an electric drive in the vehicle;

[0008] The switching frequency modulation order noise is analyzed according to the noise concern information to obtain an analysis result; wherein the analysis result represents the degree of prominence of the switching frequency modulation order noise in the vehicle.

[0009] In a second aspect, the present invention provides a vehicle noise analysis device, comprising:

[0010] A data acquisition module, configured to acquire vehicle operating data and interior noise data; wherein the operating data represents the operating conditions of preset devices in the vehicle, and the interior noise data represents the correlation between the switching frequency of the interior noise and the motor speed;

[0011] an information determination module, configured to determine noise concern information based on the operating data and the in-vehicle noise data; wherein the noise concern information represents a switching frequency and a motor speed that require attention for analyzing switching frequency modulation order noise of an electric drive in the vehicle;

[0012] A noise analysis module is used to analyze the switching frequency modulation order noise according to the noise concern information to obtain an analysis result; wherein the analysis result represents the obviousness of the switching frequency modulation order noise in the vehicle.

[0013] In a third aspect, the present invention provides an electronic device, comprising: a processor, and a memory communicatively connected to the processor;

[0014] The memory stores computer-executable instructions;

[0015] The processor executes the computer-executable instructions stored in the memory to implement the method according to the first aspect.

[0016] In a fourth aspect, the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, they are used to implement the method described in the first aspect.

[0017] In a fifth aspect, the present invention provides a computer program product, comprising a computer program, which implements the method described in the first aspect when executed by a processor.

[0018] The present invention provides a vehicle noise analysis method, device, equipment and storage medium, which obtain the operating data and in-vehicle noise data of the vehicle under preset working conditions. The operating data can characterize the operating conditions of the controller, motor and other devices in the vehicle, and the in-vehicle noise data can characterize the correlation between the switching frequency of the noise and the motor speed. Based on the operating data and the in-vehicle noise data, the information that needs to be focused on when analyzing the switching frequency modulation order noise can be determined as the noise focus information. The noise focus information can include the frequency and speed that need to be focused on when analyzing the switching frequency modulation order noise. By extracting the noise focus information, the amount of data for noise analysis can be reduced, data redundancy can be avoided, and the accuracy and efficiency of noise analysis can be improved. Based on the noise focus information, the switching frequency modulation order noise is accurately analyzed to obtain analysis results, thereby achieving quantitative characterization of the obviousness of the switching frequency modulation order noise in the vehicle through data. Errors caused by subjective judgment are avoided, and subsequent solutions to noise problems are facilitated, thereby improving the driving experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0020] Figure 1 A schematic flow chart of a vehicle noise analysis method provided by an embodiment of the present invention;

[0021] Figure 2 A schematic diagram of in-vehicle noise data provided by an embodiment of the present invention;

[0022] Figure 3 A schematic flow chart of a vehicle noise analysis method provided by an embodiment of the present invention;

[0023] Figure 4 A schematic flow chart of a vehicle noise analysis method provided by an embodiment of the present invention;

[0024] Figure 5 A diagram showing the arrangement of collection points for ripple voltage and differential mode current provided in an embodiment of the present invention;

[0025] Figure 6 A schematic diagram of the arrangement of a microphone array provided in an embodiment of the present invention;

[0026] Figure 7 A structural block diagram of a vehicle noise analysis device provided by an embodiment of the present invention;

[0027] Figure 8 A structural block diagram of a vehicle noise analysis device provided by an embodiment of the present invention;

[0028] Figure 9 A structural block diagram of an electronic device provided by an embodiment of the present invention;

[0029] Figure 10 This is a structural block diagram of an electronic device provided by an embodiment of the present invention.

[0030] The above drawings illustrate specific embodiments of the present invention, which will be described in more detail below. These drawings and the accompanying description are not intended to limit the scope of the present invention in any way, but rather to illustrate the concept of the present invention to those skilled in the art by reference to specific embodiments. DETAILED DESCRIPTION

[0031] The following describes the embodiments of the present invention with reference to the accompanying drawings and preferred embodiments. Those skilled in the art will readily appreciate the other advantages and benefits of the present invention from the disclosure herein. The present invention may also be implemented or applied through various other specific embodiments, and the various details in this specification may be modified or altered based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are intended only to illustrate the present invention and are not intended to limit the scope of protection of the present invention.

[0032] It should be noted that the illustrations provided in the following embodiments are merely schematic illustrations of the basic concept of the present invention. Therefore, the illustrations only show components related to the present invention and are not drawn according to the number, shape, and size of components in actual implementation. In actual implementation, the type, quantity, and proportion of each component may be changed arbitrarily, and the component layout may also be more complex.

[0033] In the description of the present invention, it should be understood that the terms "first", "second", "third", etc. are only used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence, nor can they be understood as indicating or implying relative importance. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to the specific circumstances. In addition, in the description of the present invention, unless otherwise specified, "multiple" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships can exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the previous and subsequent associated objects are in an "or" relationship.

[0034] It should be noted that due to space limitations, this specification does not exhaustively list all optional implementation methods. After reading this specification, those skilled in the art should be able to understand that as long as the technical features do not contradict each other, any combination of technical features can constitute an optional implementation method. The following is a detailed description of each embodiment.

[0035] Electric vehicles use an inverter to control the motor's speed. Its operating principle is to convert the DC voltage from the battery into a sinusoidal AC voltage, which is then applied to the drive motor to control the motor's speed and drive the vehicle. This motor drive system is nonlinear and generates harmonic distortion from PWM (Pulse Width Modulation), which produces vibration and noise in the motor's windings and core, known as switching frequency modulation order noise. Due to its high frequency, switching frequency modulation order noise is perceived as harsh by the human senses, easily causing complaints from passengers and affecting the overall driving experience.

[0036] Currently, the evaluation method for switching frequency modulation order noise is to extract the corresponding order noise and perform order slicing for comparison. This evaluation method is relatively accurate when the noise is generated at a fixed switching frequency or when only a single electric drive is involved. However, an increasing number of motors are using control methods such as random PWM or SPWM (Sinusoidal Pulse Width Modulation) for switching frequencies, and dual motors are increasingly being used. Under these control methods or in dual-motor scenarios, the switching frequency modulation order noise cannot be extracted using order slicing. The noise spectrum is no longer a single frequency tone, but is distributed across different frequencies. The noise value extracted using order noise slicing cannot truly reflect the magnitude of the switching frequency modulation order noise, and can only be evaluated through subjective evaluation. However, subjective evaluations are inconsistent and arbitrary, and cannot truly and objectively reflect the magnitude of the switching frequency modulation order noise. Therefore, it is necessary to develop a new evaluation method for switching frequency modulation order noise to quickly and accurately evaluate and analyze switching frequency modulation order noise and guide the development of NVH (Noise, Vibration, Harshness) performance.

[0037] The present invention provides a vehicle noise analysis method, device, equipment and storage medium, which are intended to solve the above technical problems in the prior art.

[0038] The following describes in detail the technical solution of the present invention and how the technical solution of the present invention solves the above-mentioned technical problems using specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The following embodiments of the present invention are described in conjunction with the accompanying drawings.

[0039] Figure 1 FIG. 1 is a flow chart of a vehicle noise analysis method according to an embodiment of the present invention. The method can be executed by a vehicle noise analysis device. Figure 1 As shown, the method includes the following steps:

[0040] S101. Acquire vehicle operation data and in-vehicle noise data; wherein the operation data represents the operation status of a preset device in the vehicle, and the in-vehicle noise data represents the correlation between the switching frequency of the in-vehicle noise and the motor speed.

[0041] Exemplarily, one or more noise sensors may be deployed in the vehicle to collect the noise inside the vehicle. For example, a noise sensor may be arranged at the right ear position of the front driver in the vehicle. The noise sensor may be a sensor for collecting sound, such as a microphone. The vehicle is controlled to travel under preset test conditions, and the operating data of the vehicle and the noise data inside the vehicle are obtained in real time or at regular intervals. For example, the operating data and the noise data inside the vehicle may be obtained over a period of time according to a preset time period. The operating data characterizes the operating conditions of a preset device in the vehicle. For example, the preset device may be a controller, motor, or other device inside the vehicle. The noise data inside the vehicle may characterize the correlation between the switching frequency of the noise and the speed of the motor. For example, the noise data inside the vehicle may be represented by a two-dimensional coordinate graph, where the horizontal axis represents the switching frequency and the vertical axis represents the speed of the motor. The noise conditions at different coordinates may be different. For example, the location where the noise exists may be represented by a dot. Figure 2 Schematic diagram of interior noise data. Figure 2 The unit of the horizontal axis is Hz, which indicates frequency, and the unit of the vertical axis is rpm, which indicates motor speed. dB (A) indicates decibel, and A indicates weighting. Figure 2 The noise in the image includes frequency jitter noise and single-frequency noise. The single-frequency noise is the switching frequency in this example and appears as an umbrella, indicating that the noise in this area is more prominent. The switching frequency noise generally refers to the electrical noise caused by the high-frequency switching action of switching elements in switching power supplies or other switch-mode circuits. This noise is a form of electromagnetic interference and may affect circuit performance and the normal operation of other electronic devices.

[0042] The operating data and the in-vehicle noise data are used as test data, and the steps for obtaining the test data under the test conditions may be:

[0043] (1) Measurement point arrangement. The measurement point is the location in the car where noise needs to be collected, and a noise sensor needs to be deployed at the measurement point. A noise sensor can be placed in the right ear of the front driver in the car. Specifically, four noise sensors can be placed in the car, one at the right ear of the front driver and the other at the right ear of the rear driver and the other.

[0044] (2) The vehicle CAN information acquisition equipment is used to synchronously and in real time collect information such as the vehicle's accelerator pedal opening, vehicle speed, motor speed, and motor torque. Vehicle CAN information acquisition equipment includes commonly used NVH professional data acquisition front-ends and software, and can also include vehicle network software and hardware with bus CAN analysis functions. When acquiring test data, ripple voltage and differential mode current can also be collected synchronously and in real time.

[0045] The test condition in this embodiment can represent the vehicle's driving state. For example, the test condition can be a vehicle accelerating from a stationary state to 120 km / h (or above). Test data is collected within the time period [t1, t2 + 10] seconds, where t1 represents the moment when the vehicle speed just exceeds 0, and t2 represents the moment when the vehicle speed reaches its maximum speed.

[0046] In this embodiment, the test conditions may include different modes, for example, energy-saving mode, standard mode, sport mode, etc. Since the electric drive power and torque are different in different modes, the level of the vehicle's switching modulation order noise may also be different.

[0047] During the test, the vehicle can travel on a smooth asphalt road with no water or debris on the road surface, and the wind speed is no more than 5m / s.

[0048] (3) For each mode, multiple sets of test data of the vehicle under the test conditions can be collected, for example, 3 sets can be collected.

[0049] S102. Determine noise concern information based on the operating data and the in-vehicle noise data. The noise concern information represents the switching frequency and motor speed that require attention for analyzing switching frequency modulation order noise of the electric drive in the vehicle. The switching frequency modulation order noise is in-vehicle noise.

[0050] For example, while a vehicle is driving, it generates various types of in-vehicle noise. This embodiment can analyze switching frequency modulation order noise. Switching frequency modulation order noise is a type of in-vehicle noise. After obtaining in-vehicle noise data for a period of time, a subjective assessment can be made as to whether in-vehicle noise is present during that period. That is, the collected sound can be monitored by human ears to determine whether noise is present. If in-vehicle noise is present, it is considered that switching frequency modulation order noise may be present in the noise, and S102 and S103 can be continued to evaluate the switching frequency modulation order noise. If no noise is present, S102 and S103 need not be executed.

[0051] The collected interior noise data can also be analyzed for validity. For example, the data can be manually analyzed and filtered to eliminate data that does not meet preset requirements. The data can also be determined to contain missing values or outliers. If so, the data is deemed invalid. If the data is invalid, it is not processed. After confirming that the interior noise data is valid, noise concern information is determined based on the operating data and the interior noise data.

[0052] Noise concern information represents the frequencies and speeds of particular interest when analyzing the switching frequency modulation order noise of a vehicle's electric drive. Specifically, based on operating data and in-vehicle noise data, a local switching frequency can be determined from a larger range of switching frequencies, and a local speed can be determined from a larger range of motor speeds. The frequency in the noise concern information can be a frequency range or a single frequency value; the speed in the noise concern information can be a speed range or a single speed value. For example, the frequencies of interest can be determined based on operating data, and the speed of interest can be determined based on in-vehicle noise data. For example, the operating data can include the controller switching frequency and the frequency corresponding to the motor speed. The sum of these two frequencies is used as the upper limit of the frequencies of interest, and the difference between these two frequencies is used as the lower limit of the frequencies of interest. The frequencies between this upper limit and this lower limit represent all frequencies of interest. Alternatively, based on the determined frequencies of interest (in this embodiment, the switching frequency), the speed corresponding to the frequency can be found in the in-vehicle noise data and used as the motor speed of interest.

[0053] S103 . Analyze the switching frequency modulation order noise according to the noise concern information to obtain an analysis result; wherein the analysis result represents the degree of significance of the switching frequency modulation order noise in the vehicle.

[0054] For example, based on the noise concern information, the switching frequency modulation order noise in the collected sound is analyzed to obtain an analysis result. For example, the numerical ranges of the frequency and speed in the noise concern information can be determined, and the analysis result can be determined based on the numerical ranges of the frequency and speed. The analysis result can indicate the level of noticeability of the switching frequency modulation order noise in the vehicle, for example, the analysis result can indicate that the switching frequency modulation order noise is noticeable or that the switching frequency modulation order noise is not noticeable.

[0055] The analysis result can also be a specific numerical value. The analysis result can be calculated based on the frequency and speed in the noise concern information. For example, the frequency and speed can be converted into a score for the switching frequency modulation order noise level. A larger analysis result indicates a better switching frequency modulation order noise level; a smaller analysis result indicates a worse switching frequency modulation order noise level in the vehicle, indicating a worse user experience of the switching frequency modulation order noise, which may be unacceptable to the user and require adjustment to the switching frequency modulation order noise level.

[0056] An embodiment of the present invention provides a method for analyzing vehicle noise, which obtains operating data and in-vehicle noise data of a vehicle under preset operating conditions. The operating data can characterize the operating conditions of devices such as controllers and motors in the vehicle, and the in-vehicle noise data can characterize the correlation between the switching frequency of the noise and the motor speed. Based on the operating data and in-vehicle noise data, information that needs to be focused on when analyzing switching frequency modulation order noise can be determined as noise focus information. The noise focus information can include the frequency and speed that need to be focused on when analyzing switching frequency modulation order noise. By extracting the noise focus information, the amount of data for noise analysis can be reduced, data redundancy can be avoided, and the accuracy and efficiency of noise analysis can be improved. Based on the noise focus information, the switching frequency modulation order noise is accurately analyzed to obtain analysis results, thereby achieving quantitative characterization of the degree of prominence of the switching frequency modulation order noise in the vehicle through data. Errors caused by subjective judgment are avoided, and subsequent solutions to noise problems are facilitated, thereby improving the driving experience.

[0057] Figure 3 A schematic flow chart of a vehicle noise analysis method provided in an embodiment of the present invention is provided. This embodiment is an optional embodiment based on the above embodiment.

[0058] In this embodiment, the operating data includes the controller switching frequency and motor speed corresponding to the electric drive; noise concern information is determined based on the operating data and the in-vehicle noise data, including: determining a frequency range of concern based on the controller switching frequency and the motor speed; wherein the frequency range of concern represents the upper and lower frequency limits that need to be paid attention to when analyzing the switching frequency modulation order noise in the vehicle; and the noise concern information is determined based on the frequency range of concern and the in-vehicle noise data.

[0059] like Figure 3 As shown, the method includes the following steps:

[0060] S301. Acquire vehicle operation data and in-vehicle noise data; wherein the operation data represents the operation status of a preset device in the vehicle, and the in-vehicle noise data represents the correlation between the switching frequency of the in-vehicle noise and the motor speed.

[0061] For example, this step may refer to the above-mentioned step S101 and will not be described in detail.

[0062] S302 . Determine a frequency range of interest based on the controller switching frequency and the motor speed. The frequency range of interest represents the upper and lower frequency limits required for analyzing switching frequency modulation order noise in the vehicle.

[0063] Exemplarily, the operating data may include controller switching frequency and motor speed, etc. The vehicle in this embodiment may be an electric vehicle, and one or more electric drives may be deployed in the vehicle. For each electric drive, the operating data may include the controller switching frequency and motor speed corresponding to the electric drive. According to the controller switching frequency and motor speed corresponding to the electric drive, the frequency range of interest is determined. The frequency range of interest can represent the frequency upper limit and frequency lower limit that need to be paid attention to when analyzing the switching frequency modulation order noise in the vehicle, that is, the frequency range of interest is the range between the frequency upper limit and the frequency lower limit.

[0064] The frequency corresponding to the motor speed of the electric drive can be determined based on the motor speed corresponding to the electric drive. For example, the motor speed can be divided by 60 to obtain the frequency corresponding to the motor speed. The frequency range of interest is then obtained based on the controller switching frequency and the frequency corresponding to the motor speed. Each electric drive can correspond to an operating data, and the operating data of each electric drive can correspond to a frequency range of interest. If there is only one electric drive in the vehicle, the frequency range of interest of the electric drive can be used as the final frequency range of interest; if there are multiple electric drives in the vehicle, the frequency range of interest of each electric drive can be combined to obtain the final frequency range of interest.

[0065] In this embodiment, the vehicle is a single electric drive vehicle; the frequency range of interest is determined based on the controller switching frequency and the motor speed, including: determining the frequency upper limit value and the frequency lower limit value corresponding to the electric drive based on the controller switching frequency, the motor speed, the preset jitter frequency range corresponding to the electric drive, and the preset number of motor pole pairs corresponding to the electric drive; determining the frequency range of interest based on the frequency upper limit value and the frequency lower limit value corresponding to the electric drive.

[0066] Specifically, the frequency range of interest is calculated based on whether the vehicle has a single or dual electric drive. If the vehicle has a single electric drive, the frequency range of interest is directly determined based on the controller switching frequency and motor speed of the single electric drive.

[0067] The operating data may also include the preset frequency jitter range and the preset number of motor pole pairs corresponding to the electric drive. For example, if the motor has 6 poles and 54 slots, the number of pole pairs is 3. Based on the controller switching frequency, motor speed, the preset frequency jitter range corresponding to the electric drive, and the preset number of motor pole pairs corresponding to the electric drive, the upper and lower frequency limits corresponding to the electric drive are calculated. The upper and lower frequency limits corresponding to the electric drive are determined as the vehicle's frequency range of interest.

[0068] The calculation formula for the upper frequency limit and the lower frequency limit can be preset:

[0069] ;

[0070] ;

[0071] ;

[0072] in, is the lower frequency limit, is the upper frequency limit, is the switching frequency of the controller, is the frequency corresponding to the motor speed, is the frequency jitter range, and p is the number of pole pairs. is a natural number greater than 0, for example, =1, 2, 3, ……….

[0073] For example, for the interior noise of a single electric drive product, the motor speed is 10,000 rpm, the frequency corresponding to the motor speed is 10,000 / 60, the controller switching frequency is 8,000 Hz, and the motor has 6 poles and 54 slots, that is, p=3. The jitter frequency range is 500Hz, when =1, the frequency range of interest is [6000, 10000] Hz.

[0074] The beneficial effect of this setting is that for the in-vehicle noise of a single electric drive product, it is only necessary to calculate the frequency range of interest corresponding to this single electric drive. The calculation process is simple, which improves the efficiency of determining the frequency range of interest and thus improves the efficiency of noise analysis.

[0075] In this embodiment, the vehicle is a multi-electric drive vehicle; the frequency range of interest is determined based on the frequency upper limit value and the frequency lower limit value corresponding to the electric drive, including: for each electric drive, determining the frequency range information corresponding to the electric drive based on the frequency upper limit value and the frequency lower limit value corresponding to the electric drive; and determining the union of the frequency range information corresponding to each electric drive as the frequency range of interest.

[0076] Specifically, if a vehicle has multiple electric drives, such as dual electric drives, the switching noise of both the front and rear electric drives should be considered. First, determine the frequency range of interest for each electric drive based on the controller switching frequency and motor speed. Then, combine the frequency ranges of interest for all electric drives to determine the vehicle's frequency range of interest.

[0077] For each electric drive, the operating data may include the preset frequency jitter range and the preset number of motor pole pairs corresponding to the electric drive. For example, if the motor has 6 poles and 54 slots, the number of pole pairs is 3. Based on the controller switching frequency, motor speed, the preset frequency jitter range corresponding to the electric drive, and the preset number of motor pole pairs corresponding to the electric drive, the upper and lower frequency limits corresponding to the electric drive are calculated based on the above calculation formula.

[0078] For example, for the interior noise of a dual-electric drive product, the switching frequency modulation order noise of the front drive and the switching frequency modulation order noise of the rear drive are calculated separately. For calculating the switching frequency modulation order noise of the front drive, the motor speed is 10000rpm, the frequency corresponding to the motor speed is 10000 / 60, the switching frequency of the controller is 9000Hz, the front drive motor has 6 poles, that is, p=3, and the jitter frequency range is 800Hz. The lower frequency limit of the precursor is 9000-1500-800=6700Hz, and the upper frequency limit is 9000+1500+800=11300Hz. That is, the frequency range of interest for the precursor is [6700, 11300]Hz.

[0079] To calculate the switching frequency modulation order noise of the rear drive, the motor speed is 10,000 rpm, the corresponding frequency is 10,000 / 60, the controller switching frequency is 10,000 Hz, the rear drive motor has 6 poles (p = 3), and the frequency jitter range is -500 Hz. The rear drive frequency lower limit is 10,000-1,500-500 = 8,000 Hz, and the frequency upper limit is 10,000+1,500+500 = 12,000 Hz. Therefore, the rear drive frequency range of interest is [8,000, 12,000] Hz.

[0080] The frequency ranges of interest for each electric drive can be combined. This can be done by calculating the union of the frequency ranges corresponding to each electric drive and determining the range of this union as the vehicle's frequency range of interest. For example, by determining the union of [6700, 11300] and [8000, 12000], the vehicle's frequency range of interest is [6700, 12000] Hz.

[0081] The beneficial effect of this setting is that for the in-vehicle noise of multi-electric drive products, it is necessary to combine the frequency ranges of interest of multiple electric drives to avoid information omission and improve the accuracy of noise analysis.

[0082] S303: Determine noise concern information according to the concern frequency range and the in-vehicle noise data.

[0083] For example, the noise information of concern contains information related to frequency and rotational speed. After obtaining the frequency range of concern and the in-vehicle noise data, the frequency range of concern can be used as the frequency information in the noise information of concern, and the rotational speed information can be extracted from the in-vehicle noise data. For example, the noise information of concern can be expressed as [f(x), P], where f(x) represents the frequency range of concern and P represents the rotational speed of concern.

[0084] In this embodiment, noise concern information is determined based on the frequency range of interest and the in-vehicle noise data, including: determining a target speed from the in-vehicle noise data based on the switching frequency in the in-vehicle noise data; wherein the target speed represents the motor speed corresponding to the switching frequency at which noise exists; and determining the frequency range of interest and the target speed as the noise concern information.

[0085] Specifically, after obtaining the in-vehicle noise data, the in-vehicle noise data can be manually reviewed based on subjective evaluation to determine the speed corresponding to the noise, that is, to determine the speed at which the noise problem exists, and to determine this speed as the target speed. Alternatively, based on a preset image recognition algorithm, the noise points in the image corresponding to the in-vehicle noise data can be identified, the switching frequency corresponding to the noise point can be obtained from the in-vehicle noise data, and then the speed corresponding to the switching frequency can be found as the target speed. That is, the target speed represents the motor speed corresponding to the switching frequency at which the noise exists. For example, Figure 2 The target speed can be any speed between 0 and 6000 Hz.

[0086] The frequency range of interest and the target rotation speed are jointly determined as the noise concern information. That is, the noise concern information may include the frequency range of interest and the target rotation speed.

[0087] The beneficial effect of this arrangement is that the noise concern information includes the concern frequency range and the target speed where noise problems exist, thereby enabling targeted analysis of noise, reducing data redundancy, and improving noise analysis accuracy.

[0088] S304 : Analyze the switching frequency modulation order noise according to the noise concern information to obtain an analysis result; wherein the analysis result represents the degree of significance of the switching frequency modulation order noise in the vehicle.

[0089] For example, this step may refer to the above-mentioned step S103 and will not be described in detail.

[0090] An embodiment of the present invention provides a method for analyzing vehicle noise, which obtains operating data and in-vehicle noise data of a vehicle under preset operating conditions. The operating data can characterize the operating conditions of devices such as controllers and motors in the vehicle, and the in-vehicle noise data can characterize the correlation between the switching frequency of the noise and the motor speed. Based on the operating data and in-vehicle noise data, information that needs to be focused on when analyzing switching frequency modulation order noise can be determined as noise focus information. The noise focus information can include the frequency and speed that need to be focused on when analyzing switching frequency modulation order noise. By extracting the noise focus information, the amount of data for noise analysis can be reduced, data redundancy can be avoided, and the accuracy and efficiency of noise analysis can be improved. Based on the noise focus information, the switching frequency modulation order noise is accurately analyzed to obtain analysis results, thereby achieving quantitative characterization of the degree of prominence of the switching frequency modulation order noise in the vehicle through data. Errors caused by subjective judgment are avoided, and subsequent solutions to noise problems are facilitated, thereby improving the driving experience.

[0091] Figure 4 A schematic flow chart of a vehicle noise analysis method provided in an embodiment of the present invention is provided. This embodiment is an optional embodiment based on the above embodiment.

[0092] In this embodiment, the switching frequency modulation order noise is analyzed based on the noise concern information to obtain an analysis result, including: determining the sound information of the switching frequency modulation order noise based on the noise concern information; wherein the sound information includes at least one of sharpness, pitch, sound-to-noise ratio, and total energy value; based on the sound information, the switching frequency modulation order noise is analyzed to obtain an analysis result.

[0093] like Figure 4 As shown, the method includes the following steps:

[0094] S401. Acquire vehicle operation data and in-vehicle noise data; wherein the operation data represents the operation status of a preset device in the vehicle, and the in-vehicle noise data represents the correlation between the switching frequency of the in-vehicle noise and the motor speed.

[0095] For example, this step may refer to the above-mentioned step S101 and will not be described in detail.

[0096] S402. Determine noise concern information based on the operating data and the in-vehicle noise data. The noise concern information represents the frequencies and speeds that require attention for analyzing switching frequency modulation order noise of the electric drive in the vehicle. The switching frequency modulation order noise is in-vehicle noise.

[0097] For example, this step may refer to the above-mentioned step S102 and will not be described in detail.

[0098] S403 . Determine sound information of the switching frequency modulation order noise according to the noise concern information; wherein the sound information includes at least one of sharpness, pitch, sound-to-noise ratio, and total energy value.

[0099] Exemplarily, preset sound processing software is used to calculate the frequency range of concern and the target speed in the noise concern information. The sound processing software then outputs sound information of the switching frequency modulation order noise. For example, the preset sound processing software may be LMS Test Lab. Specifically, the noise concern information is input into LMS Test Lab, which then calculates and generates the sound information. In this embodiment, the process for determining the sound information is not specifically limited.

[0100] Sound information can include sharpness, pitch, sound-to-noise ratio, and total energy. The total energy is the overall value corresponding to the frequency range of interest, and "overall" is short for overall sound pressure level (SPL).

[0101] S404: Analyze the switching frequency modulation order noise according to the sound information to obtain an analysis result.

[0102] For example, the sound information may represent the sound condition of the switching frequency modulation order noise, that is, the level of the switching frequency modulation order noise may be evaluated through the sound information, thereby obtaining an analysis result.

[0103] Analysis rules for switching frequency modulation order noise can be pre-set, and the sound information can be analyzed based on the pre-set analysis rules. For example, the analysis rules can include a calculation formula for the analysis results, or they can include pre-set analysis thresholds corresponding to different types of sound information. In this embodiment, the pre-set analysis rules are not specifically limited.

[0104] In this embodiment, the analysis results are characterized as follows:

[0105] ;

[0106] Among them, K is the analysis result, S is Sharpness, T is Tonality, L is Roughness, A is the total energy value, and a, b, c, d, and e are all preset parameters.

[0107] Specifically, the above formula is a numerical ordinal model for comprehensive, multi-dimensional sound quality evaluation. It assesses the impact of switching frequency modulation order noise on the user's subjective listening experience, or "sound quality," rather than the objective physical strength of the noise. The above formula comprehensively considers the contribution and interaction of various parameters, each representing a dimension of sound perception. The resulting K value represents a comprehensive sound quality evaluation, rather than being dominated by a single parameter. Substituting the sound information into the above formula, the calculated K value represents the analysis result. For example, a is 9.41, b is 3.24, c is 5.02, d is 0.1032, and e is 0.2135. Substituting sharpness, pitch, sound-to-noise ratio, and total energy into the above formula, the K value is calculated. For example, a K of 10 results in an analysis result of 10. A higher K value indicates a better level of switching frequency modulation order noise.

[0108] The beneficial effect of this setting is that, through the calculation formula of the K value, the analysis results can be quickly obtained, quantitative analysis of noise can be achieved, and the efficiency and accuracy of noise analysis can be improved.

[0109] In this embodiment, the method further includes: if the analysis result is less than a preset result threshold, adjusting the current switching frequency according to a preset switching frequency range, and reacquiring the vehicle operation data and in-vehicle noise data until the analysis result is equal to or greater than the preset result threshold.

[0110] Specifically, a result threshold of the analysis result is preset, that is, a threshold of K can be preset. For example, the preset result threshold is 7. After obtaining the analysis result, the analysis result is compared with the result threshold to determine whether the analysis result is less than the preset result threshold. If the analysis result is equal to or greater than the preset result threshold, for example, the K value is equal to or greater than 7, it means that the level of the switching frequency modulation order noise is good, and there is no need to adjust the switching frequency modulation order noise, and the analysis of the switching frequency modulation order noise is completed; if the analysis result is less than the preset result threshold, for example, the K value is less than 7, it means that the level of the switching frequency modulation order noise is poor, and there is a need to adjust the switching frequency modulation order noise. The current switching frequency can be adjusted according to the preset switching frequency range. The preset switching frequency range can be the range set by the manufacturer when the vehicle leaves the factory, and the adjustment of the current switching frequency can be to increase or decrease the switching frequency within the set range. After adjusting the switching frequency, the vehicle's operating data and interior noise data are reacquired. Noise concern information is determined based on the newly acquired operating data and interior noise data. Based on the noise concern information, the switching frequency modulation order noise is analyzed to obtain analysis results until the analysis result is equal to or greater than a preset result threshold, or the adjustment of the switching frequency reaches the limit of the set range.

[0111] The beneficial effect of this setting is that the switching frequency can be continuously adjusted according to the analysis results until the switching frequency modulation order noise reaches the desired level, thereby improving the adjustment efficiency of the switching frequency modulation order noise and enhancing the driving experience.

[0112] Different optimization conditions can be pre-set for different influencing factors. Influencing factors refer to factors that affect the switching frequency modulation order noise. Optimization conditions are used to determine whether the influencing factors have an impact on the switching frequency modulation order noise, thereby making targeted adjustments to the influencing factors. For example, influencing factors may include ripple voltage, differential mode current, current harmonics, etc. If the current switching frequency reaches a limit within a preset switching frequency range, the magnitude of the influencing factor can be determined to determine whether the influencing factor is adjusted, thereby optimizing the switching frequency modulation order noise based on the influencing factor.

[0113] In this embodiment, it also includes: if the current switching frequency reaches a limit value within a preset switching frequency range, obtaining the peak-to-peak value of the ripple voltage of the vehicle within a preset period; if the peak-to-peak value is greater than a preset voltage threshold, determining that the influencing factor of the switching frequency modulation order noise is the ripple voltage.

[0114] Specifically, if the switching frequency adjustment has reached its limit, that is, the current switching frequency has been adjusted to the limit of the switching frequency range, but the analysis result is still less than the preset result threshold, it indicates that the software adjustment method has no hope of reducing the switching frequency modulation order noise, and further analysis of the cause of the switching frequency modulation order noise can be performed. In this embodiment, the cause of the switching frequency modulation order noise can be analyzed based on at least three indicators. These three indicators, or influencing factors, are ripple voltage, differential mode current, and current harmonics.

[0115] Ripple voltage refers to periodic jitter in the output of a switching power supply, known as ripple. Ripple voltage or current refers to high-harmonic components in the current, which cause variations in the current or voltage amplitude. When the ripple voltage increases, the ripple current also increases.

[0116] U(RMS)=I(RMS)×R(ESR), where U(RMS) represents the ripple voltage, I(RMS) represents the ripple current, and R(ESR) represents the equivalent series resistance of the capacitor. Therefore, the peak-to-peak value of the ripple voltage U pp Come to evaluate, U ppThe larger the value, the greater the periodic pulsation of the current, which is more likely to cause vibration of the vehicle body bottom plate, thereby strengthening the switching frequency modulation order noise in the vehicle. That is, the optimization condition corresponding to the ripple voltage can be to obtain the peak-to-peak value of the ripple voltage of the vehicle within a preset period. If the peak-to-peak value is greater than the preset voltage threshold, it is determined that the influencing factor of the switching frequency modulation order noise is the ripple voltage. For example, the preset voltage threshold is 40V, if the time domain U of the voltage ripple is pp If it exceeds 40V, it can be confirmed that the switching frequency modulation order noise is large and is related to the ripple voltage.

[0117] If the influencing factor is ripple voltage, the bus capacitor size in the controller can be increased if the ripple voltage is large. This embodiment fully considers the key to the generation of switching frequency modulation order noise, that is, the high-speed switching of power devices in the inverter link is the fundamental cause of EMI (Electromagnetic Interference) problems. Differential-mode EMI in the low-frequency band is generated by the voltage ripple of the switching frequency and its multiple acting on the phases. Therefore, while suppressing the current ripple, low-frequency EMI can also be suppressed. Increasing the output capacitance value can delay the conduction time and increase the regulation time of the power supply, thereby achieving the purpose of reducing ripple.

[0118] The beneficial effect of this setting is that it can conduct targeted analysis of the ripple voltage of the switching frequency modulation order noise, quickly identify the source of the problem, and has strong directionality, which is conducive to targeted adjustment of the switching frequency modulation order noise. For example, the size of the bus capacitor can be increased to reduce the switching frequency modulation order noise and improve the subsequent driving experience.

[0119] In this embodiment, the method further includes: if the current switching frequency reaches a limit value within a preset switching frequency range, obtaining the differential-mode current of the vehicle; performing Fourier transform processing on the differential-mode current to obtain a current value corresponding to the current switching frequency; if the current value is greater than a preset current threshold, determining that the influencing factor of the switching frequency modulation order noise is the differential-mode current.

[0120] Specifically, for differential mode current, spectrum analysis can be performed on the differential mode current. For example, the differential mode current of the vehicle can be obtained, and FFT (Fast Fourier Transformation) analysis can be performed on the differential mode current to obtain the current value A corresponding to the switching frequency. c The optimization condition can be to pre-set a current threshold, for example, the current threshold is 0.5A. Compare the current value corresponding to the switching frequency with the current threshold. If A c >0.5A, it can be considered that the differential mode current is related to the larger switching frequency modulation order noise; otherwise, it is considered that the differential mode current has nothing to do with the larger switching frequency modulation order noise.

[0121] When the differential mode current is large, consider increasing the topology of the filter circuit in the controller, such as adding X capacitors or increasing the value of X capacitors. X capacitors are a type of capacitor.

[0122] In this embodiment, the ripple voltage and the differential mode current may be collected synchronously when the operation data is acquired. Figure 5 This is the layout diagram of the collection points for ripple voltage and differential mode current. Specifically, Figure 5 This is the measurement point layout for a dual electric drive. For a single electric drive, only the points between the battery and the single electric drive are required for data collection.

[0123] The beneficial effect of this setting is that it can conduct targeted analysis of the differential-mode current of the switching frequency modulation order noise, quickly identify the source of the problem, and has strong directionality, which is conducive to targeted adjustment of the switching frequency modulation order noise. For example, the topological level of the filter circuit in the controller can be increased to reduce the switching frequency modulation order noise and improve the subsequent driving experience.

[0124] In this embodiment, the method further includes: if the current switching frequency reaches a limit within a preset switching frequency range, obtaining first noise information and second noise information of the vehicle; wherein the first noise information represents noise generated before the magnetic ring is added to the high-voltage cable, and the second noise information represents noise generated after the magnetic ring is added to the high-voltage cable; if the decibel value of the second noise information is less than the decibel value of the first noise information, determining that the influencing factor of the switching frequency modulation order noise is current harmonics.

[0125] Specifically, for current harmonics, we can determine whether the switching frequency modulation order noise is related to the current harmonics by adding a magnetic ring to the high-voltage cable and comparing the changes in the noise inside the vehicle before and after adding the magnetic ring.

[0126] Noise generated before adding a magnetic ring to the high-voltage cable is obtained as first noise information, and noise generated after adding the magnetic ring to the high-voltage cable is obtained as second noise information. Determine decibel values for the first noise information and the second noise information. An optimization condition may be to compare the decibel value of the first noise information with the decibel value of the second noise information. If the decibel value of the second noise information is less than the decibel value of the first noise information, it is determined that the switching frequency modulation order noise is related to the current harmonics; otherwise, it is not related to the current harmonics.

[0127] Specifically, add a magnetic ring to the high-voltage cable and compare the switching frequency modulation order noise with that before and after the magnetic ring is added to see if the noise has decreased. If so, it indicates that harmonics in the current affect the switching frequency modulation order noise, confirming that the high switching frequency modulation order noise is related to current harmonics. Alternatively, compare the motor order sound pressure level after and before the magnetic ring is added to see if the noise has decreased. If so, it indicates that harmonics in the current affect the motor order sound pressure level, confirming that the motor order sound pressure level is related to current harmonics. This method can be applied not only to optimizing switching frequency modulation order noise but also to optimizing motor whistling. It is simple, widely applicable, and has strong engineering significance.

[0128] If the switching frequency modulation order noise is determined to be influenced by current harmonics, a magnetic ring can be added to the high-voltage cable. In a circuit, the interference suppression magnetic ring is equivalent to a lossy inductor, and its equivalent circuit can be viewed as a series circuit consisting of an inductor and a lossy resistor. At low frequencies, the magnetic ring exhibits a very low inductive impedance, primarily composed of the inductive reactance of the inductor. The entire device is equivalent to an inductor with low loss and high quality factor. At high frequencies, as the frequency increases, the inductive reactance component decreases and the resistive component increases. This converts high-frequency interference signals into heat and dissipates them. The magnetic ring effectively forms a low-pass filter. The magnetic ring should be selected based on the characteristics of the interference frequency, primarily considering a large outer diameter, a small inner bore, and a long length for optimal harmonic suppression.

[0129] The beneficial effect of this setting is that it can conduct targeted analysis of current harmonics of switching frequency modulation order noise, quickly identify the source of the problem, and has strong directionality, which is conducive to targeted adjustment of switching frequency modulation order noise. For example, magnetic rings can be added to high-voltage cables to reduce switching frequency modulation order noise and improve the subsequent driving experience.

[0130] In this embodiment, other methods can also be used to adjust the switching frequency modulation order noise. For example, shielding material can be laid on the battery. When laying the shielding material on the battery, the microphone array can be used to lock the laying position, allowing targeted laying, reducing the amount of shielding material used, and achieving greater benefits at minimal cost. For example, sound-absorbing material can be laid in the area where the sound is loudest to block the noise.

[0131] Figure 6 The figure shows the layout of the microphone array. The microphone array is arranged on the floor inside the car. Figure 6Numbers 1-14 in the figure represent the microphone array's placement. When the vehicle accelerates from a standstill to 120 km / h (or above), the vehicle's CAN data collection device simultaneously collects real-time microphone data, including accelerator pedal position, vehicle speed, motor speed, and motor torque. CAN data is collected within the time period [t1, t2+10] seconds, where t1 represents the time when the vehicle speed is greater than 0, and t2 represents the time when the vehicle speed is at its maximum. A colormap of the interior noise at different locations is calculated from the acquired microphone data. This colormap is a noise waterfall diagram that displays the noise level at each microphone location, allowing you to identify the microphone locations where the interior noise is most pronounced. For example, microphones 4, 8, 10, 11, 12, and 14 exhibit the most pronounced interior noise, far exceeding any other locations. These microphones are located directly below the passenger seat, followed by the rear right passenger footrest and the center tunnel. The battery is installed directly below the vehicle body. Noise reduction material is applied to the battery location corresponding to the loudest sound source captured by the microphone array. That is, sound-absorbing material is placed where the in-car noise detected by the microphone array is most pronounced. The noise reduction material can be a shielding material, a sound-absorbing material, or a sound-insulating material. The sound-absorbing material can be sound-absorbing cotton, the sound-insulating material can be foam or fiber, and the shielding material can be an electromagnetic shielding material.

[0132] This method allows for the addition of electromagnetic shielding covers, metal foil, and other materials around circuits and devices with high electromagnetic wave emission capabilities to absorb and block these waves. When laying shielding material over batteries, a microphone array can be used to lock the placement position. This highly directional approach allows for targeted placement of shielding material, enabling rapid and precise location identification, saving time and labor associated with constant disassembly and assembly to determine placement. This approach also reduces shielding material usage, achieving significant benefits at minimal cost.

[0133] Various optimization methods for adjusting switching frequency modulation order noise can be used individually or in combination to improve the optimization effect on noise.

[0134] An embodiment of the present invention provides a method for analyzing vehicle noise, which obtains operating data and in-vehicle noise data of a vehicle under preset operating conditions. The operating data can characterize the operating conditions of devices such as controllers and motors in the vehicle, and the in-vehicle noise data can characterize the correlation between the switching frequency of the noise and the motor speed. Based on the operating data and in-vehicle noise data, information that needs to be focused on when analyzing switching frequency modulation order noise can be determined as noise focus information. The noise focus information can include the frequency and speed that need to be focused on when analyzing switching frequency modulation order noise. By extracting the noise focus information, the amount of data for noise analysis can be reduced, data redundancy can be avoided, and the accuracy and efficiency of noise analysis can be improved. Based on the noise focus information, the switching frequency modulation order noise is accurately analyzed to obtain analysis results, thereby achieving quantitative characterization of the degree of prominence of the switching frequency modulation order noise in the vehicle through data. Errors caused by subjective judgment are avoided, and subsequent solutions to noise problems are facilitated, thereby improving the driving experience.

[0135] Figure 7 This is a structural block diagram of a vehicle noise analysis device provided by an embodiment of the present invention. For ease of explanation, only the parts related to the embodiment of the present disclosure are shown. Figure 7 The vehicle noise analysis device 700 includes: a data acquisition module 701 , an information determination module 702 and a noise analysis module 703 .

[0136] The data acquisition module 701 is used to acquire vehicle operation data and vehicle interior noise data; wherein the operation data represents the operation of a preset device in the vehicle, and the vehicle interior noise data represents the correlation between the switching frequency of the vehicle interior noise and the motor speed;

[0137] An information determination module 702 is configured to determine noise concern information based on the operating data and the in-vehicle noise data, wherein the noise concern information represents a switching frequency and motor speed that require attention for analyzing switching frequency modulation order noise of an electric drive in a vehicle;

[0138] The noise analysis module 703 is configured to analyze the switching frequency modulation order noise according to the noise concern information to obtain an analysis result, wherein the analysis result represents the degree of prominence of the switching frequency modulation order noise in the vehicle.

[0139] Figure 8 A structural block diagram of a vehicle noise analysis device provided by an embodiment of the present invention, such as Figure 8As shown, the vehicle noise analysis device 800 includes a data acquisition module 801, an information determination module 802 and a noise analysis module 803, wherein the operating data includes the controller switching frequency and motor speed corresponding to the electric drive, and the information determination module 802 includes a range determination unit 8021 and an information determination unit 8022.

[0140] a range determination unit 8021 for determining a frequency range of interest based on the controller switching frequency and the motor speed; wherein the frequency range of interest represents an upper frequency limit and a lower frequency limit of interest for analyzing switching frequency modulation order noise in the vehicle;

[0141] The information determining unit 8022 is configured to determine the noise concern information according to the concerned frequency range and the in-vehicle noise data.

[0142] In one example, the vehicle is a single electric drive vehicle; the range determination unit 8021 is specifically configured to:

[0143] Determining an upper frequency limit and a lower frequency limit corresponding to the electric drive according to the controller switching frequency, the motor speed, a preset frequency jitter range corresponding to the electric drive, and a preset number of motor pole pairs corresponding to the electric drive;

[0144] The frequency range of interest is determined according to the frequency upper limit value and the frequency lower limit value corresponding to the electric drive.

[0145] In one example, the vehicle is a multi-electric vehicle; the range determination unit 8021 is specifically configured to:

[0146] For each electric drive, determining the frequency range information corresponding to the electric drive according to the frequency upper limit value and the frequency lower limit value corresponding to the electric drive;

[0147] The union of the frequency range information corresponding to each electric drive is determined as the frequency range of interest.

[0148] In one example, the information determining unit 8022 is specifically configured to:

[0149] Determining a target speed from the interior noise data based on a switching frequency in the interior noise data; wherein the target speed represents a motor speed corresponding to a switching frequency at which noise exists;

[0150] The focus frequency range and the target rotation speed are determined as the noise focus information.

[0151] In one example, the noise analysis module 803 includes:

[0152] a sound determination unit, configured to determine sound information of the switching frequency modulation order noise according to the noise concern information; wherein the sound information includes at least one of sharpness, pitch, sound-to-noise ratio, and total energy value;

[0153] A result analysis unit is used to analyze the switching frequency modulation order noise according to the sound information to obtain the analysis result.

[0154] In one example, the analysis results are characterized as follows:

[0155] ;

[0156] Among them, K is the analysis result, S is the sharpness, T is the pitch, L is the sound-to-noise ratio, A is the total energy value, and a, b, c, d, and e are all preset parameters.

[0157] In one example, it also includes:

[0158] The frequency adjustment module is used to adjust the current switching frequency according to a preset switching frequency range if the analysis result is less than a preset result threshold, and reacquire the vehicle operation data and in-vehicle noise data until the analysis result is equal to or greater than the preset result threshold.

[0159] In one example, it also includes:

[0160] A voltage assessment module is configured to obtain a peak-to-peak value of the vehicle's ripple voltage within a preset period if the current switching frequency reaches a limit within a preset switching frequency range; and to determine that the influencing factor of the switching frequency modulation order noise is the ripple voltage if the peak-to-peak value is greater than a preset voltage threshold.

[0161] In one example, it also includes:

[0162] A current evaluation module is configured to obtain a differential-mode current of the vehicle if the current switching frequency reaches a limit within a preset switching frequency range; perform Fourier transform processing on the differential-mode current to obtain a current value corresponding to the current switching frequency; and determine that the influencing factor of the switching frequency modulation order noise is the differential-mode current if the current value is greater than a preset current threshold.

[0163] In one example, it also includes:

[0164] A harmonic evaluation module is configured to obtain first and second noise information of the vehicle if the current switching frequency reaches a limit within a preset switching frequency range; wherein the first noise information represents noise generated before a magnetic ring is added to the high-voltage cable, and the second noise information represents noise generated after the magnetic ring is added to the high-voltage cable; and if the decibel value of the second noise information is less than the decibel value of the first noise information, determine that the influencing factor of the switching frequency modulation order noise is current harmonics.

[0165] Figure 9 This is a structural block diagram of an electronic device provided in an embodiment of the present application, such as Figure 9 As shown, the electronic device includes: a memory 91 and a processor 92; the memory 91 is a memory for storing instructions executable by the processor 92.

[0166] The processor 92 is configured to execute the method provided in the above embodiment.

[0167] The electronic device further includes a receiver 93 and a transmitter 94. The receiver 93 is used to receive instructions and data sent by other devices, and the transmitter 94 is used to send instructions and data to external devices.

[0168] Figure 10 This is a block diagram of an electronic device according to an exemplary embodiment. The device may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a personal digital assistant, or the like.

[0169] The apparatus 1000 may include one or more of the following components: a processing component 1002 , a memory 1004 , a power component 1006 , a multimedia component 1008 , an audio component 1010 , an input / output (I / O) interface 1012 , a sensor component 1014 , and a communication component 1016 .

[0170] The processing component 1002 generally controls the overall operation of the device 1000, such as operations associated with display, phone calls, data communications, camera operation, and recording operations. The processing component 1002 may include one or more processors 1020 to execute instructions to perform all or part of the steps of the above-described method. In addition, the processing component 1002 may include one or more modules to facilitate interaction between the processing component 1002 and other components. For example, the processing component 1002 may include a multimedia module to facilitate interaction between the multimedia component 1008 and the processing component 1002.

[0171] Apparatus 1000 may include one or more of the following components: a processing component 1002 , a memory 1004 , a power component 1006 , a multimedia component 1008 , an audio component 1010 , an input / output (I / O) interface 1012 , a sensor component 1014 , and a communication component 1016 .

[0172] The memory 1004 is configured to store various types of data to support the operation of the device 1000. Examples of such data include instructions for any application or method operating on the device 1000, contact data, phone book data, messages, pictures, videos, etc. The memory 1004 can be implemented by any type of volatile or non-volatile storage device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk, or optical disk.

[0173] The power supply component 1006 provides power to the various components of the device 1000. The power supply component 1006 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to the device 1000.

[0174] The multimedia component 1008 includes a screen that provides an output interface between the device 1000 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, it may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, slides, and gestures on the touch panel. The touch sensors can not only sense the boundaries of a touch or slide action, but also detect the duration and pressure associated with the touch or slide action. In some embodiments, the multimedia component 1008 includes a front-facing camera and / or a rear-facing camera. When the device 1000 is in an operating mode, such as a capture mode or a video mode, the front-facing camera and / or the rear-facing camera can receive external multimedia data. Each front-facing camera and the rear-facing camera can have a fixed optical lens system or have focal length and optical zoom capabilities.

[0175] The audio component 1010 is configured to output and / or input audio signals. For example, the audio component 1010 includes a microphone (MIC) that is configured to receive external audio signals when the device 1000 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may be further stored in the memory 1004 or transmitted via the communication component 1016. In some embodiments, the audio component 1010 also includes a speaker for outputting audio signals.

[0176] I / O interface 1012 provides an interface between processing component 1002 and peripheral interface modules, such as a keyboard, click wheel, buttons, etc. These buttons may include but are not limited to: a home button, volume buttons, a start button, and a lock button.

[0177] Sensor assembly 1014 includes one or more sensors for providing various aspects of the status assessment of device 1000. For example, sensor assembly 1014 can detect the open / closed state of device 1000, the relative positioning of components, such as the display and keypad of device 1000. Sensor assembly 1014 can also detect changes in the position of device 1000 or a component of device 1000, the presence or absence of user contact with device 1000, the orientation or acceleration / deceleration of device 1000, and changes in the temperature of device 1000. Sensor assembly 1014 can include a proximity sensor configured to detect the presence of nearby objects without any physical contact. Sensor assembly 1014 can also include an optical sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, sensor assembly 1014 can also include an accelerometer, a gyroscope, a magnetic sensor, a pressure sensor, or a temperature sensor.

[0178] The communication component 1016 is configured to facilitate wired or wireless communication between the apparatus 1000 and other devices. The apparatus 1000 can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 1016 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 1016 also includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

[0179] In an exemplary embodiment, the apparatus 1000 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the above-described methods.

[0180] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 1004 including instructions. The instructions may be executed by the processor 1020 of the apparatus 1000 to perform the above method. For example, the non-transitory computer-readable storage medium may be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, or the like.

[0181] A non-transitory computer-readable storage medium, when instructions in the storage medium are executed by a processor of an electronic device, enables the electronic device to perform the above-mentioned vehicle noise analysis method.

[0182] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present application that follow the general principles of the present application and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, and the true scope and spirit of the present application are indicated by the following claims.

[0183] The above embodiments are only preferred embodiments for fully illustrating the present invention, and the protection scope of the present invention is not limited thereto. Any equivalent substitution or modification made by those skilled in the art based on the present invention is within the protection scope of the present invention.

Claims

1. A method for analyzing vehicle noise, characterized in that: include: Acquiring vehicle operating data and interior noise data; wherein the operating data represents the operating conditions of preset devices in the vehicle, and the interior noise data represents the correlation between the switching frequency of the interior noise and the motor speed; the operating data includes the controller switching frequency and motor speed corresponding to the electric drive; Determining noise concern information based on the operating data and the in-vehicle noise data; wherein the noise concern information represents a switching frequency and a motor speed that require attention for analyzing switching frequency modulation order noise of an electric drive in a vehicle; the switching frequency that requires attention represents a frequency range of interest determined by a controller switching frequency and a motor speed; the frequency range of interest represents an upper frequency limit and a lower frequency limit that require attention for analyzing switching frequency modulation order noise in the vehicle; and the noise concern information represents information determined based on the frequency range of interest and the in-vehicle noise data; determining, based on the noise concern information, sound information of the switching frequency modulation order noise; wherein the sound information includes at least one of sharpness, pitch, sound-to-noise ratio, and total energy value; and analyzing the switching frequency modulation order noise based on the sound information to obtain an analysis result; The analysis results are characterized as follows: ； Wherein, K is the analysis result, S is the sharpness, T is the tone, L is the sound-to-noise ratio, A is the total energy value, and a, b, c, d, and e are preset parameters; the analysis result represents the degree of prominence of the switching frequency modulation order noise in the vehicle.

2. The method according to claim 1, characterized in that The vehicle is a single electric drive vehicle; Determining a frequency range of interest based on the controller switching frequency and the motor speed includes: Determining an upper frequency limit and a lower frequency limit corresponding to the electric drive according to the controller switching frequency, the motor speed, a preset frequency jitter range corresponding to the electric drive, and a preset number of motor pole pairs corresponding to the electric drive; The frequency range of interest is determined according to the frequency upper limit value and the frequency lower limit value corresponding to the electric drive.

3. The method according to claim 2, characterized in that The vehicle is a multi-electric drive vehicle; Determining the frequency range of interest according to the upper frequency limit and the lower frequency limit corresponding to the electric drive includes: For each electric drive, determining the frequency range information corresponding to the electric drive according to the frequency upper limit value and the frequency lower limit value corresponding to the electric drive; The union of the frequency range information corresponding to each electric drive is determined as the frequency range of interest.

4. The method according to claim 1, wherein Determining the noise concern information according to the concerned frequency range and the in-vehicle noise data includes: Determining a target speed from the interior noise data based on a switching frequency in the interior noise data; wherein the target speed represents a motor speed corresponding to a switching frequency at which noise exists; The focus frequency range and the target rotation speed are determined as the noise focus information.

5. The method according to claim 1, wherein Also includes: If the analysis result is less than the preset result threshold, the current switching frequency is adjusted according to the preset switching frequency range, and the vehicle operation data and in-vehicle noise data are reacquired until the analysis result is equal to or greater than the preset result threshold.

6. The method according to claim 5, characterized in that Also includes: If the current switching frequency reaches a limit value within a preset switching frequency range, obtaining a peak-to-peak value of the ripple voltage of the vehicle within a preset period; If the peak-to-peak value is greater than a preset voltage threshold, it is determined that the influencing factor of the switching frequency modulation order noise is the ripple voltage.

7. The method according to claim 5, characterized in that Also includes: If the current switching frequency reaches a limit value within a preset switching frequency range, obtaining the vehicle's differential mode current; Performing Fourier transform processing on the differential mode current to obtain a current value corresponding to the current switching frequency; If the current value is greater than a preset current threshold, it is determined that the influencing factor of the switching frequency modulation order noise is the differential mode current.

8. The method according to claim 5, characterized in that Also includes: If the current switching frequency reaches a limit within a preset switching frequency range, first noise information and second noise information of the vehicle are obtained; wherein the first noise information represents noise generated before the magnetic ring is added to the high-voltage cable, and the second noise information represents noise generated after the magnetic ring is added to the high-voltage cable; If the decibel value of the second noise information is smaller than the decibel value of the first noise information, it is determined that the influencing factor of the switching frequency modulation order noise is the current harmonic.

9. An analysis device using the vehicle noise analysis method according to any one of claims 1 to 8, characterized in that: include: a data acquisition module, configured to acquire vehicle operating data and interior noise data; wherein the operating data represents the operating conditions of preset devices in the vehicle, and the interior noise data represents the correlation between the switching frequency of the interior noise and the motor speed; the operating data includes the controller switching frequency and motor speed corresponding to the electric drive; an information determination module, configured to determine noise concern information based on the operating data and the in-vehicle noise data; wherein the noise concern information represents a switching frequency and motor speed of interest for analyzing switching frequency modulation order noise of an electric drive in a vehicle; the switching frequency of interest represents a frequency range of interest determined by a controller switching frequency and motor speed; the frequency range of interest represents an upper frequency limit and a lower frequency limit of interest for analyzing switching frequency modulation order noise in the vehicle; and the noise concern information represents information determined based on the frequency range of interest and the in-vehicle noise data; a noise analysis module, configured to determine sound information of the switching frequency modulation order noise based on the noise concern information, wherein the sound information includes at least one of sharpness, pitch, sound-to-noise ratio, and total energy value; and analyze the switching frequency modulation order noise based on the sound information to obtain an analysis result; The analysis results are characterized as follows: ； Wherein, K is the analysis result, S is the sharpness, T is the tone, L is the sound-to-noise ratio, A is the total energy value, and a, b, c, d, and e are preset parameters; the analysis result represents the degree of prominence of the switching frequency modulation order noise in the vehicle.

10. An electronic device, characterized in that: include: a processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method according to any one of claims 1 to 8.

11. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 8 when executed by a processor.

12. A computer program product, characterized in that The invention comprises a computer program, which implements the method according to any one of claims 1 to 8 when executed by a processor.

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