Vehicle noise analysis method and device, equipment and storage medium

Abstract

The invention relates to a vehicle noise analysis method, apparatus and device, and a storage medium. The method comprises the steps of obtaining operation data and in-vehicle noise data of a vehicle; wherein the operation data represents the operation condition of a preset device in the vehicle, and the in-vehicle noise data represents the incidence relation between the switching frequency of noise and the rotating speed of a motor; determining noise attention information according to the operation data and the in-vehicle noise data; wherein the noise attention information represents the switching frequency and the motor rotating speed which need to be concerned for analyzing the switching frequency modulation order noise of an electric drive in the vehicle; analyzing the switching frequency modulation order noise according to the noise attention information to obtain an analysis result; wherein the analysis result represents the obvious degree of the switching frequency modulation order noise in the vehicle. Automatic analysis and evaluation of switching frequency modulation order noise are realized, and the efficiency and precision of noise analysis are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of automotive noise testing, and particularly relates to a method, device, equipment and storage medium for analyzing vehicle noise. Background Art

[0002] During the driving process of an electric vehicle, 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 to run.

[0003] This motor drive method will generate switching frequency modulation order noise. Due to its high frequency, the switching frequency modulation order noise is relatively harsh to the human ear, easily causes complaints from passengers, and affects the driving experience of the whole vehicle. Therefore, it is necessary to accurately evaluate the switching frequency modulation order noise of the vehicle to reduce noise and improve the riding experience. Summary of the Invention

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

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

[0006] Obtaining the operation data of the vehicle and the in-vehicle noise data; wherein, the operation data represents the operation condition 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;

[0007] Determining noise attention information according to the operation data and the in-vehicle noise data; wherein, the noise attention information represents the switching frequency and motor speed that need to be concerned for analyzing the switching frequency modulation order noise of the electric drive in the vehicle;

[0008] Analyzing the switching frequency modulation order noise according to the noise attention information to obtain an analysis result; wherein, the analysis result represents the obvious degree of the switching frequency modulation order noise in the vehicle.

[0009] In a second aspect, the present invention provides an apparatus for analyzing vehicle noise, including:

[0010] A data acquisition module, configured to obtain the operation data of the vehicle and the in-vehicle noise data; wherein, the operation data represents the operation condition 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;

[0011] An information determination module, configured to determine noise concern information according to the operation data and the in-vehicle noise data; wherein, the noise concern information represents the switching frequency and the motor speed that need to be concerned for analyzing the switching frequency modulation order noise in the vehicle.

[0012] A noise analysis module, 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 obvious degree of the switching frequency modulation order noise in the vehicle.

[0013] In a third aspect, the present invention provides an electronic device, including: 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 as described in the first aspect.

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

[0017] In a fifth aspect, the present invention provides a computer program product, including a computer program, and when the computer program is executed by a processor, it implements the method as described in the first aspect.

[0018] The present invention provides a method, device, equipment and storage medium for analyzing vehicle noise. The operation data and the in-vehicle noise data of the vehicle under a preset working condition are obtained. The operation data can represent the operation conditions of devices such as controllers and motors in the vehicle, and the in-vehicle noise data can represent the correlation between the switching frequency of the noise and the motor speed. According to the operation 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 concern information. The noise concern information may include the frequency, speed, etc. that need to be concerned for analyzing the switching frequency modulation order noise. By extracting the noise concern 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. According to the noise concern information, the switching frequency modulation order noise is accurately analyzed to obtain an analysis result, realizing the quantitative characterization of the obvious degree of the switching frequency modulation order noise in the vehicle through data. The error caused by subjective judgment is avoided, which is convenient for subsequent solution of noise problems and improves the driving and riding experience. Description of the Drawings

[0019] The accompanying drawings herein are incorporated into and form a part of this specification, showing embodiments consistent with the present invention, and are used together with the specification to explain the principles of the present invention.

[0020] Figure 1 A schematic flowchart of a method for analyzing vehicle noise 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 flowchart of a method for analyzing vehicle noise provided by an embodiment of the present invention;

[0023] Figure 4 A schematic flowchart of a method for analyzing vehicle noise provided by an embodiment of the present invention;

[0024] Figure 5 A layout diagram of acquisition points for ripple voltage and differential-mode current provided by an embodiment of the present invention;

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

[0026] Figure 7 A structural block diagram of an apparatus for analyzing vehicle noise provided by an embodiment of the present invention;

[0027] Figure 8 A structural block diagram of an apparatus for analyzing vehicle noise 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 A structural block diagram of an electronic device provided by an embodiment of the present invention.

[0030] Through the above-mentioned accompanying drawings, specific embodiments of the present invention have been shown, and there will be more detailed descriptions hereinafter. These accompanying drawings and textual descriptions are not intended to limit the scope of the inventive concept in any way, but to illustrate the concept of the present invention to those skilled in the art by reference to specific embodiments. Detailed Embodiments

[0031] The embodiments of the present invention will be described below with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments. Various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are only for illustrating the present invention, rather than for limiting the protection scope of the present invention.

[0032] It should be noted that the diagrams provided in the following embodiments only illustrate the basic concept of the present invention in a schematic manner. Therefore, only the components related to the present invention are shown in the diagrams, rather than being drawn according to the number, shape, and size of the components in actual implementation. The type, quantity, and ratio of each component in actual implementation can be arbitrarily changed, and the component layout type 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 do not have to be 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 specific circumstances. In addition, in the description of the present invention, unless otherwise specified, "a plurality of" means 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 simultaneously, and B exists alone. The character " / " generally represents an "or" relationship between the associated objects before and after.

[0034] It should be noted that due to space limitations, this specification does not exhaust all optional embodiments. Those skilled in the art should be able to think that as long as the technical features do not conflict with each other, any combination of technical features can constitute an optional embodiment after reading this specification. The following will describe each embodiment in detail.

[0035] An electric vehicle uses an inverter to control the speed of the motor. Its working principle is to convert the DC voltage from the battery into a sinusoidal AC voltage, and apply the converted voltage to the drive motor to control the speed of the motor and drive the vehicle to run. This motor drive system is a non-linear system, which will generate PWM (Pulse Width Modulation) harmonic distortion, resulting in vibration and noise in the motor winding and iron core, that is, generating switching frequency modulation order noise. Due to its high frequency, the switching frequency modulation order noise is relatively harsh to the human sense, easily causing complaints from passengers and affecting the driving experience of the whole vehicle.

[0036] Currently, the evaluation method for the order noise of switching frequency modulation is to extract the corresponding order noise and perform order slicing for comparison. If the noise is generated at a fixed switching frequency or when there is only a single electric drive, this evaluation method is also relatively accurate. However, now more and more motor switching frequencies adopt control methods such as random PWM or SPWM (Sinusoidal Pulse Width Modulation), and there are more and more applications of dual motors. In this control method or in the case of dual motors, the order noise of switching frequency modulation cannot be extracted by the method of order slicing, and the frequency spectrum of the noise is no longer a single frequency tone but is distributed at different frequencies. The noise value extracted by the method of order noise slicing cannot truly reflect the magnitude of the order noise of switching frequency modulation, and it can only be evaluated by relying on subjective evaluation. However, subjective evaluation has differences and randomness and cannot truly and objectively reflect the magnitude of the order noise of switching frequency modulation. Therefore, it is necessary to develop a new evaluation method for the order noise of switching frequency modulation to quickly and accurately evaluate and analyze the order noise of switching frequency modulation and guide the development of NVH (Noise, Vibration, Harshness) performance.

[0037] A vehicle noise analysis method, device, equipment and storage medium provided by the present invention aim to solve the above technical problems in the prior art.

[0038] The following will specifically describe the technical solutions of the present invention and how the technical solutions of the present invention solve the above technical problems with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present invention will be described below with reference to the drawings.

[0039] Figure 1 is a schematic flowchart of a vehicle noise analysis method provided by an embodiment of the present invention. This method can be executed by a vehicle noise analysis device. As Figure 1 shown, the method includes the following steps:

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

[0041] Exemplarily, one or more noise sensors can be deployed in a vehicle to collect the noise inside the vehicle. For example, a noise sensor can be arranged at the position of the right ear of the driver in the front row inside the vehicle. The noise sensor can be a sensor such as a microphone for collecting sound. The vehicle is controlled to travel under a preset test condition, and the operating data and the in-vehicle noise data of the vehicle are obtained in real time or at regular intervals. For example, according to a preset time period, the operating data and the in-vehicle noise data within a period of time can be obtained. The operating data characterizes the operating conditions of preset devices in the vehicle. For example, the preset devices can be devices such as controllers and motors inside the vehicle. The in-vehicle noise data can characterize the correlation between the switching frequency of the noise and the motor speed. For example, the in-vehicle noise data can be represented by a two-dimensional coordinate graph, where the abscissa represents the switching frequency and the ordinate represents the motor speed. The noise conditions at different coordinates may be different. For example, the positions where there is noise can be represented by dots. Figure 2 It is a schematic diagram of the in-vehicle noise data. Figure 2 In the figure, the unit of the horizontal axis is Hz, representing frequency, the unit of the vertical axis is rpm, representing motor speed, dB(A) represents decibel, and A represents weighting. Figure 2 The noise in the figure includes dither frequency noise and single-frequency noise. The single frequency is the switching frequency in this embodiment and appears as an umbrella shape, indicating that the noise in this area is relatively obvious. The switching frequency of the noise generally refers to the electrical noise caused by the switching action of switching elements at high frequencies in a switching power supply or other switching mode circuits. This kind of noise is a form of electromagnetic interference and may affect the performance of the circuit and the normal operation of other electronic devices.

[0042] Taking the operating data and the in-vehicle noise data as test data, the steps for obtaining the test data under the test condition can be as follows:

[0043] (1) Measuring point arrangement. The measuring points are the position points inside the vehicle where noise needs to be collected, and noise sensors need to be deployed at the measuring points. A noise sensor can be arranged at the right ear of the driver in the front row inside the vehicle. Specifically, 4 noise sensors can be arranged inside the vehicle, respectively at the positions of the right ears of the front-row driver and passenger, and the positions of the right ears of the rear-row driver and passenger.

[0044] (2) Through the vehicle CAN information acquisition device, synchronously and real-time collect the throttle pedal opening, vehicle speed information, motor speed information, motor torque information, etc. of the vehicle. The vehicle CAN information acquisition device includes common NVH professional data acquisition front ends and software, and can also include in-vehicle network software and hardware with bus CAN analysis functions, etc. When obtaining test data, the ripple voltage and differential mode current, etc. can also be synchronously and real-time collected.

[0045] The test conditions in this embodiment can characterize the driving state of the vehicle. For example, the test conditions can be the state where the vehicle accelerates from a stationary state to 120 km / h (or above). Collect the test data within the time period of [t1, t2 + 10] seconds, where t1 represents the moment when the vehicle speed is just greater than 0, and t2 represents the moment when the vehicle speed reaches the maximum speed.

[0046] In this embodiment, the test conditions can include different modes. For example, it can include an energy-saving mode, a standard mode, a sports mode, etc. Since the electric drive power and torque are different in different modes, the level of the switching modulation order noise of the vehicle may also be different.

[0047] The road on which the vehicle travels during the test can be a smooth asphalt road surface, and there is no water accumulation or debris on the road surface, and the wind speed is not greater than 5 m / s.

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

[0049] S102. Determine the noise concern information according to the operation data and the in-vehicle noise data; wherein, the noise concern information characterizes the switching frequency and the motor speed that need to be concerned for analyzing the switching frequency modulation order noise of the electric drive in the vehicle, and the switching frequency modulation order noise belongs to the in-vehicle noise.

[0050] Exemplarily, when the vehicle is driving, various in-vehicle noises will be generated. This embodiment can analyze the switching frequency modulation order noise. The switching frequency modulation order noise is a kind of in-vehicle noise. After obtaining the in-vehicle noise data for a period of time, it can be subjectively evaluated whether there is in-vehicle noise during this period. That is, the collected sound can be listened to by the human ear to judge whether there is noise in the sound. If there is in-vehicle noise, it is considered that the switching frequency modulation order noise may exist in the noise, and S102 and S103 can be continued to evaluate the switching frequency modulation order noise; if there is no noise, S102 and S103 do not need to be executed.

[0051] The effectiveness of the collected in-vehicle noise data can also be analyzed. For example, the in-vehicle noise data can be analyzed and screened manually, and the in-vehicle noise data that does not meet the preset requirements can be screened out. It can also be judged whether there are missing values or abnormal values in the in-vehicle noise data. If so, the in-vehicle noise data is considered invalid. If the in-vehicle noise data is invalid, the in-vehicle noise data is not processed. After determining that the in-vehicle noise data is valid, the noise concern information is determined according to the operation data and the in-vehicle noise data.

[0052] When analyzing the switching frequency modulation order noise of the electric drive in a vehicle with respect to the noise concern information representation, the frequencies and rotational speeds that need to be focused on are crucial. That is, based on the operating data and in-vehicle noise data, local switching frequencies can be determined from a wide range of switching frequencies, and local rotational speeds can be determined from a wide range of motor rotational speeds. The frequency in the noise concern information can be a frequency range or a single frequency value; the rotational speed in the noise concern information can be a rotational speed range or a single rotational speed value. For example, based on the operating data, the frequency to be concerned about can be determined, and based on the in-vehicle noise data, the rotational speed to be concerned about can be determined. Exemplarily, the operating data may include the switching frequency of the controller and the frequency corresponding to the motor rotational speed. The sum of these two frequencies is used as the upper limit value of the frequency to be concerned about, and the difference between these two frequencies is used as the lower limit value of the frequency to be concerned about. The frequencies between this upper limit value and this lower limit value are all the frequencies that need to be concerned about. Also, based on the determined frequency to be concerned about (in this embodiment, it is the switching frequency), the rotational speed corresponding to the frequency can be found from the in-vehicle noise data as the motor rotational speed to be concerned about.

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

[0054] Exemplarily, analyze the switching frequency modulation order noise in the collected sound according to the noise concern information to obtain an analysis result. For example, it can be determined which numerical intervals the frequency and rotational speed in the noise concern information are respectively in. Based on the numerical interval where the frequency is located and the numerical interval where the rotational speed is located, the analysis result is determined. The analysis result can characterize the obviousness of the switching frequency modulation order noise in the vehicle. For example, the analysis result can be that the switching frequency modulation order noise is obvious or the switching frequency modulation order noise is not obvious.

[0055] The analysis result can also be a specific numerical value. The analysis result can be calculated based on the frequency and rotational speed in the noise concern information. For example, the frequency and rotational speed can be converted into a score of the switching frequency modulation order noise level. The larger the analysis result, the better the switching frequency modulation order noise level; the smaller the analysis result, the worse the level of the switching frequency modulation order noise in the vehicle, that is, the worse the user's auditory experience of the switching frequency modulation order noise, and the user may not be able to accept it, and the switching frequency modulation order noise needs to be adjusted.

[0056] An embodiment of the present invention provides a method for analyzing vehicle noise, which obtains the operation data of the vehicle under a preset working condition and the in-vehicle noise data. The operation data can characterize the operation conditions of devices such as the controller and the motor in the vehicle, and the in-vehicle noise data can characterize the correlation between the switching frequency of the noise and the motor speed. According to the operation 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 may include the frequency, speed, etc. 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. According to the noise focus information, the switching frequency modulation order noise is accurately analyzed to obtain an analysis result, realizing the obvious degree of quantitatively characterizing the switching frequency modulation order noise in the vehicle through data. Avoiding the errors caused by subjective judgment is convenient for subsequent solving of noise problems and improving the driving and riding experience.

[0057] Figure 3 FIG. is a schematic flow chart of a method for analyzing vehicle noise provided by an embodiment of the present invention. This embodiment is an optional embodiment based on the above embodiment.

[0058] In this embodiment, the operation data includes the controller switching frequency corresponding to the electric drive and the motor speed; according to the operation data and the in-vehicle noise data, the noise focus information is determined, including: determining the attention frequency range according to the controller switching frequency and the motor speed; wherein, the attention frequency range represents the upper limit value and the lower limit value of the frequency that needs to be focused on when analyzing the switching frequency modulation order noise in the vehicle; according to the attention frequency range and the in-vehicle noise data, the noise focus information is determined.

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

[0060] S301. Obtain the operation data of the vehicle and the in-vehicle noise data; wherein, the operation data characterizes the operation conditions of the preset devices in the vehicle, and the in-vehicle noise data characterizes the correlation between the switching frequency of the in-vehicle noise and the motor speed.

[0061] Exemplarily, this step can refer to the above step S101 and will not be elaborated.

[0062] S302. Determine the attention frequency range according to the controller switching frequency and the motor speed; wherein, the attention frequency range represents the upper limit value and the lower limit value of the frequency that needs to be focused on when analyzing the switching frequency modulation order noise in the vehicle.

[0063] Exemplarily, the operating data may include the controller switching frequency, 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, a frequency range of interest is determined. The frequency range of interest may characterize the upper frequency limit value and the lower frequency limit value that need to be concerned for analyzing the switching frequency modulation order noise in the vehicle, that is, the frequency range of interest is the range between the upper frequency limit value and the lower frequency limit value.

[0064] The frequency corresponding to the motor speed can be determined according to 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. Then, according to the controller switching frequency and the frequency corresponding to the motor speed, the frequency range of interest is obtained. Each electric drive may correspond to one piece of operating data, and each piece of operating data of each electric drive may 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 ranges 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; determining the frequency range of interest according to the controller switching frequency and motor speed includes: determining the upper frequency limit value and the lower frequency limit value corresponding to the electric drive according to the controller switching frequency, motor speed, preset frequency fluctuation range corresponding to the electric drive, and preset number of motor pole pairs corresponding to the electric drive; determining the frequency range of interest according to the upper frequency limit value and the lower frequency limit value corresponding to the electric drive.

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

[0067] The operating data may further include the preset frequency fluctuation range corresponding to the electric drive and the preset number of motor pole pairs corresponding to the electric drive. For example, if the motor is 6 poles and 54 slots, the number of pole pairs is 3. According to the controller switching frequency, motor speed, preset frequency fluctuation range corresponding to the electric drive, and preset number of motor pole pairs corresponding to the electric drive, the upper frequency limit value and the lower frequency limit value corresponding to the electric drive are calculated. The upper frequency limit value and the lower frequency limit value corresponding to the electric drive are determined as the frequency range of interest of the vehicle.

[0068] The calculation formulas for the upper frequency limit value and the lower frequency limit value can be set in advance:

[0069] ;

[0070] ;

[0071] ;

[0072] Wherein, is the lower limit value of the frequency, is the upper limit value of the frequency, is the switching frequency of the controller, is the frequency corresponding to the motor speed, is the frequency swing 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 in-vehicle noise of a single electric drive product, the motor speed is 10000 rpm, the frequency corresponding to the motor speed is 10000 / 60, the switching frequency of the controller is 8000 Hz, and the motor is a 6-pole 54-slot motor, that is, p = 3. The frequency swing range is 500 Hz. When = 1, the frequency range of concern is [6000, 10000] Hz.

[0074] The beneficial effect of such a setting is that for the in-vehicle noise of a single electric drive product, only the frequency range of concern corresponding to this one electric drive needs to be calculated. The calculation process is simple, the efficiency of determining the frequency range of concern is improved, and thus the efficiency of noise analysis is improved.

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

[0076] Specifically, if the vehicle is a multi-electric drive product, for example, a dual-electric drive product, the switching noises of the front and rear electric drives should both be considered. First, according to the switching frequency of the controller of a single electric drive and the motor speed, the frequency range of concern for this electric drive can be determined. Then, in combination with the frequency ranges of concern of all electric drives, the frequency range of concern of the vehicle is obtained.

[0077] For each electric drive, the operating data may include the preset frequency swing range corresponding to the electric drive and the preset number of pole pairs of the motor corresponding to the electric drive. For example, if the motor is a 6-pole 54-slot motor, the number of pole pairs is 3. According to the controller switching frequency, the motor speed, the preset frequency swing range corresponding to the electric drive, and the preset number of pole pairs of the motor corresponding to the electric drive, based on the above calculation formula, the upper limit value and the lower limit value of the frequency corresponding to this electric drive are respectively calculated.

[0078] For example, for the in-vehicle noise of a dual-motor drive product, calculate the switching frequency modulation order noise of the front drive and the switching frequency modulation order noise of the rear drive separately. For calculating the switching frequency modulation order noise of the front drive, the motor speed is 10,000 rpm, the frequency corresponding to the motor speed is 10,000 / 60, the switching frequency of the controller is 9,000 Hz, the front drive motor has 6 poles, that is, p = 3, and the frequency fluctuation range is 800 Hz. The lower limit value of the frequency of the front drive is 9,000 - 1,500 - 800 = 6,700 Hz, and the upper limit value of the frequency is 9,000 + 1,500 + 800 = 11,300 Hz. That is, the frequency range of concern for the front drive is [6,700, 11,300] Hz.

[0079] For calculating the switching frequency modulation order noise of the rear drive, the motor speed is 10,000 rpm, the frequency corresponding to the motor speed is 10,000 / 60, the switching frequency of the controller is 10,000 Hz, the rear drive motor has 6 poles, that is, p = 3, and the frequency fluctuation range is -500 Hz. The lower limit value of the frequency of the rear drive is 10,000 - 1,500 - 500 = 8,000 Hz, and the upper limit value of the frequency is 10,000 + 1,500 + 500 = 12,000 Hz. That is, the frequency range of concern for the rear drive is [8,000, 12,000] Hz.

[0080] Combining the frequency ranges of concern for each electric drive, the combination method can be to calculate the union of the frequency range information corresponding to each electric drive, and determine the union range as the frequency range of concern for the vehicle. For example, determine the union of [6,700, 11,300] and [8,000, 12,000], and obtain the frequency range of concern for the vehicle as [6,700, 12,000] Hz.

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

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

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

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

[0085] Specifically, after obtaining the in-vehicle noise data, one can manually view the in-vehicle noise data based on subjective evaluation to determine the rotational speed corresponding to the noise, that is, determine the rotational speed at which there is a noise problem, and determine this rotational speed as the target rotational speed. One can also, based on a preset image recognition algorithm, identify the noise points in the image corresponding to the in-vehicle noise data, obtain the switching frequency corresponding to the noise points from the in-vehicle noise data, and then find the rotational speed corresponding to this switching frequency as the target rotational speed. That is, the target rotational speed represents the motor rotational speed corresponding to the switching frequency at which noise exists. For example, Figure 2 the target rotational speed in can be any rotational speed between 0 and 6000 Hz.

[0086] The attention frequency range and the target rotational speed are jointly determined as the noise attention information, that is, the noise attention information can include the attention frequency range and the target rotational speed.

[0087] The beneficial effect of such a setting is that the noise attention information includes the attention frequency range and the target rotational speed at which there is a noise problem, enabling targeted analysis of the noise, reducing data redundancy, and improving the analysis accuracy of the noise.

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

[0089] Exemplarily, this step can refer to the above step S103 and will not be elaborated here.

[0090] An embodiment of the present invention provides a method for analyzing vehicle noise, which obtains the operation data of the vehicle under a preset working condition and the in-vehicle noise data. The operation data can characterize the operation 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. According to the operation 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 may include the frequency, speed, etc. 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. According to the noise focus information, the switching frequency modulation order noise is accurately analyzed to obtain an analysis result, realizing the obvious degree of quantitatively characterizing the switching frequency modulation order noise in the vehicle through data. Avoiding the errors caused by subjective judgment is convenient for subsequent solving of noise problems and improving the driving and riding experience.

[0091] Figure 4 FIG. is a schematic flowchart of a method for analyzing vehicle noise provided by an embodiment of the present invention. This embodiment is an optional embodiment based on the above embodiment.

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

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

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

[0095] Exemplarily, this step can refer to the above step S101 and will not be elaborated.

[0096] S402. Determine the noise focus information according to the operation data and the in-vehicle noise data; wherein, the noise focus information characterizes the frequency and speed that need to be focused on when analyzing the switching frequency modulation order noise of the electric drive in the vehicle, and the switching frequency modulation order noise belongs to the in-vehicle noise.

[0097] Exemplarily, this step can refer to the above step S102 and will not be elaborated.

[0098] S403. Determine the 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, signal-to-noise ratio, and total energy value.

[0099] Exemplarily, use a preset sound processing software to calculate the concerned frequency range and the target rotational speed in the noise concern information, and the sound processing software outputs the sound information of the switching frequency modulation order noise. For example, the preset sound processing software can be LMS Test Lab. That is, input the noise concern information into LMS Test Lab, and LMS Test Lab obtains the sound information after calculation. In this embodiment, the determination process of the sound information is not specifically limited.

[0100] The sound information may include sharpness, pitch, signal-to-noise ratio, total energy value, etc. Among them, the total energy value is the overall value corresponding to the concerned frequency range, and overall is the abbreviation of overall SPL (overall Sound pressure level, total sound pressure level).

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

[0102] Exemplarily, the sound information can characterize the sound generation situation of the switching frequency modulation order noise, that is, the level of the switching frequency modulation order noise can be evaluated through the sound information, so as to obtain an analysis result.

[0103] The analysis rules for the switching frequency modulation order noise can be preset in advance. Based on the preset analysis rules, the sound information is analyzed. For example, the analysis rules can be set with a calculation formula for the analysis result, or can also contain preset analysis thresholds corresponding to each sound information, etc. In this embodiment, the preset analysis rules are not specifically limited.

[0104] In this embodiment, the analysis result is characterized as:

[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 model for multi-dimensional comprehensive sound quality evaluation, which is used to evaluate the influence degree of the switching frequency modulation order noise on the user's subjective auditory experience, that is, "sound quality", rather than the objective physical intensity of the noise. The above formula comprehensively considers the proportions and interactions of various parameters. Each parameter represents a dimension of sound perception. The finally calculated K value represents the comprehensive sound quality evaluation result, rather than being dominated by a single parameter. Substituting the sound information into the above formula, the calculated K value is 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, signal-to-noise ratio, and total energy value into the above formula respectively to obtain the K value. For example, if K is 10, the analysis result is 10. The higher the K value, the better the level of the switching frequency modulation order noise.

[0108] The beneficial effect of such a setting is that through the calculation formula of the K value, the analysis result can be quickly obtained, realizing the quantitative analysis of the noise, and improving the analysis efficiency and accuracy of the noise.

[0109] In this embodiment, it further includes: if the analysis result is less than the preset result threshold, then according to the preset range of the switching frequency, the current switching frequency is adjusted, and the running data of the vehicle and the in-vehicle noise data are re-obtained until the analysis result is equal to or greater than the preset result threshold.

[0110] Specifically, a result threshold for the analysis result is preset, that is, the 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 indicates 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 this time; if the analysis result is less than the preset result threshold, for example, the K value is less than 7, it indicates that the level of the switching frequency modulation order noise is poor, and the switching frequency modulation order noise needs to be adjusted. The current switching frequency can be adjusted according to the preset range of the switching frequency. The preset range of the switching frequency can be the range set by the manufacturer when the vehicle leaves the factory. Adjusting the current switching frequency can be increasing or decreasing the switching frequency within the set range. After adjusting the switching frequency, the running data of the vehicle and the in-vehicle noise data are re-obtained. According to the newly obtained running data and in-vehicle noise data, the noise concern information is determined. According to the noise concern information, the switching frequency modulation order noise is analyzed to obtain the analysis result until the analysis result is equal to or greater than the preset result threshold, or the adjustment of the switching frequency reaches the limit value of the set range.

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

[0112] Different optimization conditions can be preset for different influencing factors, where the influencing factors refer to the factors that affect the switching frequency modulation order noise. The optimization conditions are used to determine whether the influencing factors have an impact on the switching frequency modulation order noise, so as to make targeted adjustments to the influencing factors. For example, the influencing factors can include ripple voltage, differential mode current, current harmonics, etc. If the current switching frequency reaches the limit value in the preset switching frequency range, the magnitude of the influencing factor can be obtained to determine whether to adjust the influencing factor, so as to optimize the switching frequency modulation order noise for the influencing factor.

[0113] In this embodiment, it further includes: if the current switching frequency reaches the limit value in the preset switching frequency range, 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, determine that the influencing factor of the switching frequency modulation order noise is the ripple voltage.

[0114] Specifically, if the switching frequency adjustment has reached the limit, that is, the current switching frequency has been adjusted to the limit value in the switching frequency range, but the analysis result is still less than the preset result threshold, it means that the software adjustment method has no hope of reducing the switching frequency modulation order noise, and the reason for the switching frequency modulation order noise can be further analyzed. In this embodiment, the reason for the switching frequency modulation order noise can be analyzed from at least three indicators, which are the influencing factors, namely ripple voltage, differential mode current, and current harmonics.

[0115] For the ripple voltage, there are periodic jitters in the output of the switching power supply, and these jitters are called ripple. Ripple voltage or current refers to the high harmonic components in the current, which will cause changes in the current or voltage amplitude. When the ripple voltage increases, the ripple current will also increase accordingly.

[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 U of the ripple voltage can be used for evaluation. pp to evaluate, U ppThe larger the value, the greater the periodic pulsation of the current, and the more likely it is to cause the vibration of the vehicle floor, thereby strengthening the order noise of the in-vehicle switching frequency modulation. 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 pp of the voltage ripple exceeds 40V, it can be confirmed that the relatively large switching frequency modulation order noise is related to the ripple voltage.

[0117] For the influencing factor being the ripple voltage and the ripple voltage being relatively large, the size of the bus capacitor in the controller can be increased. This embodiment fully considers the key to the generation of the switching frequency modulation order noise, that is, the high-speed switching of the power devices in the inverter link is the essential reason for generating EMI (Electromagnetic Interference) problems. The differential-mode EMI in the low-frequency band is generated by the voltage ripple of the switching frequency and its multiples acting between phases. Therefore, while suppressing the current ripple, the suppression of low-frequency EMI can also be achieved. 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 the ripple.

[0118] The beneficial effect of such a setting is to conduct a targeted analysis of the ripple voltage on the switching frequency modulation order noise, quickly lock the source of the problem, with strong directivity, which is beneficial to making targeted adjustments to 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, it further includes: if the current switching frequency reaches the limit value in the preset switching frequency range, the differential-mode current of the vehicle is obtained; the differential-mode current is subjected to Fourier transform processing to obtain the current value corresponding to the current switching frequency; if the current value is greater than the preset current threshold, it is determined that the influencing factor of the switching frequency modulation order noise is the differential-mode current.

[0120] Specifically, for the differential-mode current, the differential-mode current can be subjected to spectrum analysis. For example, the differential-mode current of the vehicle can be obtained, and the differential-mode current is subjected to FFT (Fast Fourier Transformation) analysis to obtain the current value A c corresponding to the switching frequency. The optimization condition can be that a current threshold is preset. For example, the current threshold is 0.5A. The current value corresponding to the switching frequency is compared with the current threshold. If A c >0.5A, it can be considered that the differential-mode current is related to the relatively large switching frequency modulation order noise. Otherwise, it is considered that the differential-mode current is not related to the relatively large switching frequency modulation order noise.

[0121] When the differential-mode current is relatively large, it is possible to consider increasing the topological level of the filter circuit in the controller, such as adding an X-capacitor or increasing the value of the X-capacitor in the controller. Among them, the X-capacitor is a type of capacitor.

[0122] In this embodiment, when obtaining the operating data, the ripple voltage and the differential-mode current can be synchronously collected. Figure 5 It is a layout diagram of the acquisition points for the ripple voltage and the differential-mode current. Specifically, Figure 5 It is a layout diagram of the measurement points for the dual electric drive. When it is a single electric drive, only the points need to be arranged and collected between the battery and the single electric drive.

[0123] The beneficial effect of such a setting is to conduct a targeted analysis of the differential-mode current for the switching frequency modulation order noise, quickly lock the source of the problem, with strong directivity, which is beneficial to making targeted adjustments to 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, it further includes: if the current switching frequency reaches the limit value in the preset range of the switching frequency, then obtain the first noise information and the second noise information of the vehicle; where the first noise information represents the noise generated before adding a magnetic ring to the high-voltage cable, and the second noise information represents the noise generated after adding a magnetic ring 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, then determine that the influencing factor of the switching frequency modulation order noise is current harmonics.

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

[0126] Obtain the noise generated before adding a magnetic ring to the high-voltage cable as the first noise information, and obtain the noise generated after adding a magnetic ring to the high-voltage cable as the second noise information. Determine the decibel values of the first noise information and the second noise information. The optimization condition can 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, then determine that the switching frequency modulation order noise is related to current harmonics, otherwise, it is not related to current harmonics.

[0127] That is to say, add magnetic rings to the high-voltage cable, compare the switching frequency modulation order noise with that before adding the magnetic rings, and examine whether the noise is reduced. If it is reduced, it indicates that there are harmonics in the current that will affect the switching frequency modulation order noise, and it can be confirmed that the relatively large switching frequency modulation order noise is related to the current harmonics. It is also possible to compare the motor order sound pressure level after adding the magnetic rings with that before adding the magnetic rings, and examine whether the noise is reduced. If it is reduced, it indicates that there are harmonics in the current that will affect the motor order sound pressure level, and it can be confirmed that the motor order sound pressure level is related to the current harmonics. It is realized that it can be not only used to optimize the switching frequency modulation order noise, but also applied to the optimization of motor whine. The method is simple, has a wide application range, and has strong engineering significance.

[0128] If it is determined that the influencing factor of the switching frequency modulation order noise is current harmonics, magnetic rings can be added to the high-voltage cable. In the circuit, the interference suppression magnetic ring can be equivalent to a lossy inductor, and its equivalent circuit can be regarded as a series circuit composed of an inductor and a loss resistance. In the low-frequency band, the magnetic ring presents a very low inductive impedance value, and the impedance is mainly composed of the inductive reactance of the inductor. The whole device is equivalent to an inductor with low loss and high quality factor characteristics. In the high-frequency part, as the frequency increases, the inductive reactance component decreases and the resistance component increases. The high-frequency interference signal is converted into heat energy and consumed. The magnetic ring actually constitutes a low-pass filter. Select the magnetic ring according to the characteristics of the interference frequency, mainly considering "the outer diameter should be large, the inner hole should be small, and the length should be long", so that the effect of suppressing harmonics is better.

[0129] The beneficial effect of such a setting is that it conducts a targeted analysis of current harmonics on the switching frequency modulation order noise, quickly locks the source of the problem, has strong directivity, and is beneficial to making targeted adjustments to the switching frequency modulation order noise. For example, magnetic rings can be added to the high-voltage cable to reduce the 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 materials can be laid on the battery. When laying shielding materials on the battery, the microphone array can be used to lock the laying position and lay them in a targeted manner to reduce the amount of shielding materials used and obtain greater benefits at the lowest cost. For example, sound-absorbing materials can be laid at the place where the sound is the largest to shield the noise.

[0131] Figure 6 It is a schematic diagram of the arrangement of the microphone array. The microphone array is arranged at the vehicle interior floor. Figure 6The serial numbers 1 - 14 in it are the arrangement positions of the microphone array. The vehicle accelerates from a stationary state to 120 km / h (or above), and according to the vehicle CAN information acquisition device, the microphone data such as the throttle pedal opening, vehicle speed information, motor speed information, motor torque information, etc. of the vehicle are synchronously and real - time collected. Collect the data within the time period of [t1, t2 + 10] seconds of CAN information. t1 represents when the vehicle speed is greater than 0, and t2 represents when the vehicle speed is the maximum. The in - vehicle noise colormap (color mapping) diagrams at different positions are calculated from the obtained microphone data. The colormap diagram is a noise waterfall diagram. Through the colormap diagram, the noise levels at each microphone position can be obtained, so as to view the microphone position with the most obvious in - vehicle noise. For example, the in - vehicle noise at microphone numbers 4, 8, 10, 11, 12, and 14 is the most obvious, far greater than other positions. The positions where these microphones are located are directly below the co - pilot seat. Followed by the right - rear passenger footrest and the middle channel at the rear row. The battery is installed directly below the vehicle body. According to the battery position corresponding to the maximum sound source captured by the microphone array, noise - reducing materials are laid at the corresponding position of the battery. That is, sound - absorbing materials are laid at the position where the in - vehicle noise is the most obvious obtained by the microphone array. The noise - reducing materials can be shielding materials, sound - absorbing materials, or sound - insulating materials, etc. Among them, the sound - absorbing materials can be sound - absorbing cotton, and the sound - insulating materials can be materials such as foam or fiber, and the shielding materials can be electromagnetic shielding materials.

[0132] In the vicinity of circuits and devices with high electromagnetic wave emission capabilities, materials such as electromagnetic wave shielding covers and metal foils can be added to absorb and block electromagnetic waves. When laying shielding materials on the battery, the microphone array can be used to lock the laying position. It has strong directivity, can lay shielding materials in a targeted manner, can quickly find the position for laying, saves the time cycle, and avoids the time and labor costs consumed by constantly disassembling and assembling to determine the laying position. It can also reduce the usage amount of shielding materials and obtain greater benefits at the smallest cost.

[0133] Various optimization methods for adjusting the switching frequency modulation order noise can be used alone 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 the operation data of the vehicle under a preset working condition and the in-vehicle noise data. The operation data can characterize the operation conditions of devices such as the controller and motor in the vehicle, and the in-vehicle noise data can characterize the correlation between the switching frequency of the noise and the motor speed. According to the operation 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 may include the frequency, speed, etc. 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. According to the noise focus information, the switching frequency modulation order noise is accurately analyzed to obtain an analysis result, realizing the obvious degree of quantitatively characterizing the switching frequency modulation order noise in the vehicle through data. Avoiding the errors caused by subjective judgment is convenient for subsequent solving of noise problems and improving the driving and riding experience.

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

[0136] The data acquisition module 701 is configured to acquire the operation data of the vehicle and the in-vehicle noise data; wherein, the operation data characterizes the operation conditions of preset devices in the vehicle, and the in-vehicle noise data characterizes the correlation between the switching frequency of the in-vehicle noise and the motor speed;

[0137] The information determination module 702 is configured to determine noise focus information according to the operation data and the in-vehicle noise data; wherein, the noise focus information characterizes the switching frequency and the motor speed that need to be focused on when analyzing the switching frequency modulation order noise of the electric drive in the vehicle;

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

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

[0140] The range determination unit 8021 is configured to determine a frequency range of interest according to the controller switching frequency and the motor speed. Among them, the frequency range of interest represents the upper frequency limit value and the lower frequency limit value that need to be concerned for analyzing the switching frequency modulation order noise in the vehicle.

[0141] The information determination unit 8022 is configured to determine the noise concern information according to the frequency range of interest 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] Determine the upper frequency limit value and the lower frequency limit value corresponding to the electric drive according to the controller switching frequency, the motor speed, the preset frequency fluctuation range corresponding to the electric drive, and the preset number of motor pole pairs corresponding to the electric drive.

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

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

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

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

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

[0149] Determine a target speed from the in-vehicle noise data according to the switching frequency in the in-vehicle noise data. Among them, the target speed represents the motor speed corresponding to the switching frequency with noise.

[0150] Determine the frequency range of interest and the target speed as the noise concern information.

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

[0152] A sound determination unit for determining the 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, signal-to-noise ratio, and total energy value;

[0153] A result analysis unit for analyzing the switching frequency modulation order noise according to the sound information to obtain the analysis result.

[0154] In one example, the analysis result is characterized as:

[0155] ;

[0156] Wherein, K is the analysis result, S is the sharpness, T is the pitch, L is the signal-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 further includes:

[0158] A frequency adjustment module for, if the analysis result is less than a preset result threshold, adjusting the current switching frequency according to the preset range of the switching frequency, and re-acquiring 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 further includes:

[0160] A voltage evaluation module for, if the current switching frequency reaches the limit value in the preset range of the switching frequency, acquiring 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.

[0161] In one example, it further includes:

[0162] A current evaluation module for, if the current switching frequency reaches the limit value in the preset range of the switching frequency, acquiring the differential mode current of the vehicle; performing Fourier transform processing on the differential mode current to obtain the 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.

[0163] In one example, it further includes:

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

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

[0166] Among them, 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 is a block diagram of an electronic device shown according to an exemplary embodiment. The device can 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 device 1000 may include one or more of the following components: a processing component 1002, a memory 1004, a power supply 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, telephone calls, data communication, camera operations, and recording operations. The processing component 1002 may include one or more processors 1020 to execute instructions to complete all or part of the steps of the above method. In addition, the processing component 1002 may include one or more modules to facilitate the interaction between the processing component 1002 and other components. For example, the processing component 1002 may include a multimedia module to facilitate the interaction between the multimedia component 1008 and the processing component 1002.

[0171] Device 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] Memory 1004 is configured to store various types of data to support the operation of device 1000. Examples of such data include instructions for any application or method operating on device 1000, contact data, phone book data, messages, pictures, videos, and the like. Memory 1004 may 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, a magnetic disk, or an optical disk.

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

[0174] Multimedia component 1008 includes a screen that provides an output interface between 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, the screen 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, swipes, and gestures on the touch panel. The touch sensors may sense not only the boundaries of a touch or swipe action but also detect the duration and pressure associated with the touch or swipe operation. In some embodiments, multimedia component 1008 includes a front camera and / or a rear camera. When device 1000 is in an operating mode, such as a shooting mode or a video mode, the front camera and / or the rear camera may receive external multimedia data. Each of the front camera and the rear camera may be a fixed optical lens system or have a 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 can be further stored in the memory 1004 or transmitted via the communication component 1016. In some embodiments, the audio component 1010 further includes a speaker for outputting audio signals.

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

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

[0178] The communication component 1016 is configured to facilitate communication between the device 1000 and other devices in a wired or wireless manner. The device 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 further 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 for performing the above method.

[0180] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 1004 including instructions, and the above instructions can be executed by a processor 1020 of the apparatus 1000 to complete 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, etc.

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

[0182] Those skilled in the art will readily conceive of other embodiments of the present application after considering the specification and practicing the invention disclosed herein. The present application is intended to cover any variations, uses, or adaptations of the present application, which follow the general principles of the present application and include known common general knowledge or conventional technical means in the technical field not disclosed in the present application. The specification and embodiments are only regarded as exemplary, and the true scope and spirit of the present application are pointed out by the following claims.

[0183] The above embodiments are only preferred embodiments given to fully illustrate the present invention, and the protection scope of the present invention is not limited thereto. Equivalent substitutions or transformations made by those skilled in the art on the basis of the present invention are all within the protection scope of the present invention.

Claims

1. A method for analyzing vehicle noise, characterized in that, Including: Obtain the operating data of the vehicle and the in-vehicle noise data; wherein, the operating data characterizes the operating conditions of a preset device in the vehicle, and the in-vehicle noise data characterizes the correlation between the switching frequency of the in-vehicle noise and the motor speed; Determine noise concern information according to the operating data and the in-vehicle noise data; wherein, the noise concern information characterizes the switching frequency and motor speed that need to be concerned for analyzing the switching frequency modulation order noise in the vehicle; Analyze the switching frequency modulation order noise according to the noise concern information to obtain an analysis result; wherein, the analysis result characterizes the obviousness of the switching frequency modulation order noise in the vehicle.

2. The method according to claim 1, characterized in that, The operating data includes the controller switching frequency corresponding to the electric drive and the motor speed; Determining noise concern information according to the operating data and the in-vehicle noise data includes: Determine a concern frequency range according to the controller switching frequency and the motor speed; wherein, the concern frequency range characterizes the upper frequency limit value and the lower frequency limit value that need to be concerned for analyzing the switching frequency modulation order noise in the vehicle; Determine the noise concern information according to the concern frequency range and the in-vehicle noise data.

3. The method according to claim 2, wherein The vehicle is a single-electric-drive vehicle; Determining a concern frequency range according to the controller switching frequency and the motor speed includes: Determine the upper frequency limit value and the lower frequency limit value 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; Determine the concern frequency range according to the upper frequency limit value and the lower frequency limit value corresponding to the electric drive.

4. The method according to claim 3, wherein The vehicle is a multi-electric-drive vehicle; Determining the concern frequency range according to the upper frequency limit value and the lower frequency limit value corresponding to the electric drive includes: For each electric drive, determine the frequency range information corresponding to the electric drive according to the upper frequency limit value and the lower frequency limit value corresponding to the electric drive; Determine the union of the frequency range information corresponding to each electric drive as the concern frequency range.

5. The method according to claim 2, wherein Determining the noise concern information according to the concern frequency range and the in-vehicle noise data includes: Determine a target speed from the in-vehicle noise data according to the switching frequency in the in-vehicle noise data; wherein, the target speed characterizes the motor speed corresponding to the switching frequency with noise; Determine the concern frequency range and the target speed as the noise concern information.

6. The method according to claim 1, wherein Analyzing the switching frequency modulation order noise according to the noise concern information to obtain an analysis result includes: Determine the 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, signal-to-noise ratio, and total energy value; Analyze the switching frequency modulation order noise according to the sound information to obtain the analysis result.

7. The method according to claim 6, wherein The analysis result is characterized as: ； Wherein, K is the analysis result, S is the sharpness, T is the pitch, L is the signal-to-noise ratio, A is the total energy value, and a, b, c, d, e are all preset parameters.

8. The method according to claim 1, characterized in that, Also including: If the analysis result is less than a preset result threshold, the current switching frequency is adjusted according to a preset range of switching frequencies, and the running data of the vehicle and the in-vehicle noise data are obtained again until the analysis result is equal to or greater than the preset result threshold.

9. The method according to claim 8, wherein Further included are: If the current switching frequency reaches the limit value in the preset range of switching frequencies, 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 a preset voltage threshold, determine that the influencing factor of the switching frequency modulation order noise is the ripple voltage.

10. The method according to claim 8, wherein Further included are: If the current switching frequency reaches the limit value in the preset range of switching frequencies, obtain the differential mode current of the vehicle; Perform Fourier transform processing on the differential mode current to obtain the current value corresponding to the current switching frequency; If the current value is greater than a preset current threshold, determine that the influencing factor of the switching frequency modulation order noise is the differential mode current.

11. The method according to claim 8, wherein Further included are: If the current switching frequency reaches the limit value in the preset range of switching frequencies, obtain the first noise information and the second noise information of the vehicle; wherein, the first noise information represents the noise generated before adding a magnetic ring to the high-voltage cable, and the second noise information represents the noise generated after adding a magnetic ring 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, determine that the influencing factor of the switching frequency modulation order noise is the current harmonic.

12. An analysis device for vehicle noise, characterized in that, Included are: A data acquisition module, configured to acquire the running data of the vehicle and the in-vehicle noise data; wherein, the running data represents the running condition 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; An information determination module, configured to determine noise attention information according to the running data and the in-vehicle noise data; wherein, the noise attention information represents the switching frequency and the motor speed that need to be concerned about when analyzing the switching frequency modulation order noise of the electric drive in the vehicle; A noise analysis module, configured to analyze the switching frequency modulation order noise according to the noise attention information to obtain an analysis result; wherein, the analysis result represents the obvious degree of the switching frequency modulation order noise in the vehicle.

13. An electronic device, characterized in that, Included are: A processor, and a memory communicatively connected to the processor; The memory stores computer execution instructions; The processor executes the computer execution instructions stored in the memory to implement the method according to any one of claims 1-11.

14. A computer-readable storage medium, characterized in that, Computer execution instructions are stored in the computer-readable storage medium, and when the computer execution instructions are executed by the processor, they are used to implement the method according to any one of claims 1-11.

15. A computer program product, characterized in that, Included is a computer program, which when executed by the processor implements the method according to any one of claims 1-11.

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