Vehicle noise optimization method, device, equipment and storage medium

Abstract

The present invention belongs to the technical field of vehicles, and discloses a vehicle noise optimization method, device, equipment and storage medium; the method comprises: obtaining the modes of various noise-related components of the vehicle; when the mode difference of various noise-related components is greater than the mode frequency avoidance limit, obtaining the motor noise value of the vehicle; when the motor noise value is greater than the motor noise threshold, detecting the reference torque distribution ratio corresponding to the minimum motor noise under various road conditions; optimizing the vehicle noise based on the reference torque distribution ratio; the present invention performs frequency avoidance on the modes of motor noise-related components in the vehicle development and design stage; in the vehicle adjustment stage, torque distribution and adjustment are performed based on the vehicle model, so as to effectively reduce the noise inside the vehicle under the starting condition, without the need to change the components in the physical stage of the vehicle model, thereby reducing the cost of solving the noise problem of the starting motor of the electric vehicle, and at the same time improving the efficiency and optimizing the motor starting noise, improving the user experience, and improving customer satisfaction.

Description

Technical Field

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

[0002] As a new energy vehicle with low oil consumption, low pollution and low noise, electric vehicles are considered an important way to solve the energy crisis and environmental degradation. Hybrid vehicles take into account the advantages of both pure electric vehicles and traditional internal combustion engine vehicles. On the premise of meeting the requirements of vehicle power and driving range, they effectively improve fuel economy and reduce emissions. They are considered to be one of the effective ways to save energy and reduce emissions.

[0003] However, when using electric vehicles, the electric drive working noise is prominent because the electric vehicles lack the masking of engine noise. The motor working noise of new energy hybrid and pure electric vehicles is one of the NVH problems complained by customers, which directly affects the quality of the vehicle. When the vehicle starts and drives at low speed, the vehicle is usually in pure electric condition, and the motor provides power to drive the vehicle. Due to the lack of noise masking of the range-extending system, the motor working noise is prominent. Especially when the vehicle starts on a slope, the motor requires a large torque, and the motor working noise is more prominent, which seriously affects the user experience. Summary of the invention

[0004] The main purpose of the present invention is to provide a vehicle noise optimization method, device, equipment and storage medium, aiming to solve the technical problem in the prior art that in the vehicle ramp starting condition, the motor requires large torque, the motor working noise is more prominent, and the user experience is seriously affected.

[0005] To achieve the above object, the present invention provides a vehicle noise optimization method, the method comprising the following steps:

[0006] Obtain the modes of each noise-related component of the vehicle;

[0007] When the modal difference of each noise-related component is greater than the modal frequency avoidance limit, obtaining the motor noise value of the vehicle;

[0008] When the motor noise value is greater than the motor noise threshold, detecting a reference torque distribution ratio corresponding to the minimum motor noise under various road conditions;

[0009] The vehicle is noise optimized based on the reference torque distribution ratio.

[0010] Optionally, before the modal difference of each noise-related component is greater than the modal frequency avoidance limit, the method further includes:

[0011] Collecting the modes of various noise-related components of the vehicle, wherein the modes of various noise-related components include rigid body modes of the electric drive assembly, rigid body modes of the subframe, whole vehicle acoustic cavity modes, and noise transmission path modes of the electric drive assembly;

[0012] Respectively calculating the modal difference between any two modes of the electric drive assembly rigid body mode, the subframe rigid body mode, the whole vehicle acoustic cavity mode, and the electric drive assembly noise transmission path mode;

[0013] The modal difference value and the modal frequency avoidance limit are compared.

[0014] Optionally, when the motor noise value is greater than a motor noise threshold, detecting the minimum motor noise under each preset road condition and the corresponding reference torque distribution ratio includes:

[0015] Detecting a motor noise value of the vehicle, and ending motor noise optimization when the motor noise value is less than or equal to a motor noise threshold;

[0016] When the motor noise value is greater than a motor noise threshold, obtaining the vehicle model;

[0017] When the vehicle is of a first preset vehicle model, the minimum motor noise and the corresponding reference torque distribution ratio under each preset road condition are detected.

[0018] Optionally, after detecting the minimum motor noise and the corresponding reference torque distribution ratio under each preset road condition, the method further includes:

[0019] When the vehicle model is a second preset vehicle model, detecting a reference motor torque and a reference motor noise of the vehicle under various reference road conditions;

[0020] Comparing the reference motor noise with a noise threshold, and determining a problematic road condition in the reference road condition according to the comparison result;

[0021] The reference motor torque corresponding to the problematic road condition is adjusted until the reference motor noise corresponding to the problematic road condition meets a preset condition, thereby completing the noise optimization of the vehicle.

[0022] Optionally, when the vehicle is a first preset vehicle model, detecting the minimum motor noise and the corresponding reference torque distribution ratio under each preset road condition includes:

[0023] When the vehicle is of a first preset vehicle type, determining each preset road condition and each preset torque distribution ratio of the vehicle;

[0024] Detecting the motor noise at each preset torque distribution ratio under each preset road condition;

[0025] Compare the motor noises of various preset torque distribution ratios to obtain the minimum motor noise;

[0026] The preset torque distribution ratio corresponding to the minimum motor noise is used as a reference torque distribution ratio.

[0027] Optionally, when detecting each preset road condition, the motor noise of each preset torque distribution ratio includes:

[0028] Collecting vehicle status information, and determining various preset road conditions according to the vehicle status information, wherein the vehicle status information includes a throttle opening signal, a motor speed signal, and a motor torque signal;

[0029] Collect motor vibration signals and in-vehicle motor noise signals under various preset road conditions;

[0030] Obtaining a motor noise peak value and a noise frequency according to a motor vibration signal of the vehicle and a motor noise signal inside the vehicle;

[0031] The source of the motor noise is obtained according to the motor speed signal and the noise frequency, and the motor noise of each preset torque distribution ratio under each preset road condition is determined according to the motor noise source.

[0032] Optionally, the performing noise optimization on the vehicle based on the reference torque distribution ratio includes:

[0033] Determining whether the minimum noise corresponding to the reference torque distribution ratio is greater than a noise threshold;

[0034] If the minimum noise corresponding to the reference torque distribution ratio is less than or equal to the noise threshold, the noise optimization is completed;

[0035] If the minimum noise corresponding to the reference torque distribution ratio is greater than the noise threshold, the reference torque distribution ratio is adjusted until the motor noise corresponding to the reference torque distribution ratio meets a preset condition, thereby completing the noise optimization of the vehicle.

[0036] In addition, to achieve the above-mentioned purpose, the present invention also proposes a vehicle noise optimization device, the vehicle noise optimization device comprising:

[0037] An acquisition module, used to acquire the modes of various noise-related components of the vehicle;

[0038] The acquisition module is further used to acquire the motor noise value of the vehicle when the modal difference of each noise-related component is greater than the modal frequency avoidance limit;

[0039] A noise optimization module, used for detecting a reference torque distribution ratio corresponding to the minimum motor noise under various road conditions when the motor noise value is greater than the motor noise threshold;

[0040] The noise optimization module is further used to optimize the noise of the vehicle based on the reference torque distribution ratio.

[0041] In addition, to achieve the above-mentioned purpose, the present invention also proposes a vehicle noise optimization device, which includes: a memory, a processor, and a vehicle noise optimization program stored in the memory and executable on the processor, wherein the vehicle noise optimization program is configured to implement the steps of the vehicle noise optimization method described above.

[0042] In addition, to achieve the above-mentioned purpose, the present invention further proposes a storage medium, on which a vehicle noise optimization program is stored, and when the vehicle noise optimization program is executed by a processor, the steps of the vehicle noise optimization method described above are implemented.

[0043] The present invention avoids the frequency of the motor noise-related component modes during the vehicle development and design stage; during the vehicle tuning stage, the torque is distributed and adjusted based on the vehicle model, thereby effectively reducing the noise inside the vehicle during starting conditions. There is no need to change the component design during the physical stage of the vehicle model, thereby reducing the cost of solving the electric vehicle starting motor noise problem, while improving efficiency and optimizing the motor starting noise, thereby enhancing user experience and customer satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a structural schematic diagram of a vehicle noise optimization device in a hardware operating environment involved in an embodiment of the present invention;

[0045] Figure 2 A schematic diagram of a flow chart of a first embodiment of a vehicle noise optimization method according to the present invention;

[0046] Figure 3 A schematic diagram of a flow chart of a second embodiment of a vehicle noise optimization method according to the present invention;

[0047] Figure 4 A schematic diagram of torque variation of an embodiment of a vehicle noise optimization method of the present invention;

[0048] Figure 5 A complete schematic diagram of vehicle noise optimization according to an embodiment of a vehicle noise optimization method of the present invention;

[0049] Figure 6 This is a structural block diagram of the first embodiment of the vehicle noise optimization device of the present invention.

[0050] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION

[0051] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0052] Reference Figure 1 , Figure 1 A schematic diagram of the structure of a vehicle noise optimization device in a hardware operating environment according to an embodiment of the present invention.

[0053] like Figure 1 As shown, the vehicle noise optimization device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a wireless fidelity (Wireless-Fidelity, Wi-Fi) interface). The memory 1005 may be a high-speed random access memory (Random Access Memory, RAM) memory, or a stable non-volatile memory (Non-Volatile Memory, NVM), such as a disk memory. The memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0054] Those skilled in the art will understand that Figure 1 The structure shown in the figure does not constitute a limitation on the vehicle noise optimization device, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0055] like Figure 1 As shown, the memory 1005 as a storage medium may include an operating system, a network communication module, a user interface module, and a vehicle noise optimization program.

[0056] exist Figure 1 In the vehicle noise optimization device shown, the network interface 1004 is mainly used for data communication with the network server; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the vehicle noise optimization device of the present invention can be set in the vehicle noise optimization device, and the vehicle noise optimization device calls the vehicle noise optimization program stored in the memory 1005 through the processor 1001, and executes the vehicle noise optimization method provided by the embodiment of the present invention.

[0057] The embodiment of the present invention provides a vehicle noise optimization method, referring to Figure 2 , Figure 2The figure is a flow chart of a first embodiment of a vehicle noise optimization method according to the present invention.

[0058] In this embodiment, the vehicle noise optimization method includes the following steps:

[0059] Step S10: Obtain the modes of each noise-related component of the vehicle.

[0060] It is understandable that during the design process of vehicle development data, it is known that there are components in the vehicle that may vibrate and cause noise when driving uphill.

[0061] It should be understood that the vehicle noise can be reduced by performing modal frequency avoidance on various components associated with the vehicle noise.

[0062] It should be noted that modal frequency avoidance refers to avoiding or reducing the vibration frequency of vehicle components to be consistent with the natural frequency of the vehicle itself, thereby avoiding resonance between vehicle components, improving vehicle comfort and reducing vehicle noise.

[0063] It should be further explained that the modes of various noise-related components of the vehicle may include the rigid body modes of the electric drive assembly, the rigid body modes of the subframe, the whole vehicle acoustic cavity modes, the modes related to the noise transmission path of the electric drive assembly, etc.

[0064] It should be noted that the executor of this embodiment is a vehicle noise optimization device, wherein the vehicle noise optimization device has functions such as data processing, data communication and program running. The vehicle noise optimization device can be an integrated controller, a control computer and other devices, and of course it can also be other devices with similar functions, and this embodiment does not limit this.

[0065] Step S20: when the modal difference of each noise-related component is greater than the modal frequency avoidance limit, obtaining the motor noise value of the vehicle.

[0066] It is understandable that the modal difference among various noise-related components can be understood as the difference between the modes of any two noise-related components, such as the modal difference between the rigid body mode of the subframe and the acoustic cavity mode of the whole vehicle, or the modal difference between the rigid body mode of the subframe and the rigid body mode of the electric drive assembly.

[0067] It should be noted that the modal frequency avoidance limit can be understood as a pre-set value when developing the noise, vibration and harshness (NVH) performance of a vehicle. The modal frequency avoidance target limit can be at least 3 Hz.

[0068] Understandably, NVH is one of the important criteria for measuring vehicle quality and is closely related to the comfort and safety of the vehicle. The three components of NVH include noise, noise: various sounds generated by the vehicle during driving, such as engine noise, tire noise, etc. Vibration: vibration generated during vehicle driving, such as vibration caused by uneven road surface, etc. Acoustic vibration roughness: refers to the low-frequency vibration and roar generated during vehicle driving, such as wind noise, etc.

[0069] It should be understood that when the modal difference between each noise-related component is less than or equal to the modal frequency avoidance limit, it can be understood that the structure of each component of the vehicle does not meet the NVH evaluation standard at this time, and the vehicle components need to be structurally optimized until the modal difference between the various components of the vehicle is greater than the modal frequency avoidance limit, and then the noise optimization in this embodiment is performed.

[0070] It should be noted that, before the modal difference of each noise-related component is greater than the modal frequency avoidance limit, it also includes:

[0071] The modes of various noise-related components of the vehicle are collected, and the modes of various noise-related components include rigid body modes of the electric drive assembly, rigid body modes of the subframe, acoustic cavity modes of the whole vehicle, and noise transfer path modes of the electric drive assembly; the modal difference between any two modes of the rigid body modes of the electric drive assembly, the rigid body modes of the subframe, the acoustic cavity modes of the whole vehicle, and the noise transfer path modes of the electric drive assembly are calculated respectively; and the modal difference is compared with the size of the modal frequency avoidance limit.

[0072] Step S30: When the motor noise value is greater than the motor noise threshold, detecting a reference torque distribution ratio corresponding to the minimum motor noise under various road conditions.

[0073] It is understandable that the motor noise threshold may be a preset maximum noise value. If the motor noise exceeds the motor noise threshold, it is easy for the customer to have a poor driving experience due to excessive motor noise at start-up.

[0074] It should be understood that if the motor noise is less than or equal to the motor noise threshold, it will not cause user complaints about the noise and no noise optimization is required; when the motor noise value is greater than the motor noise threshold, the motor noise needs to be optimized.

[0075] It should be understood that various road conditions can be divided according to the slope condition and the throttle opening, for example, a road condition having a slope condition of 0% (ie, a flat road) + a throttle opening of 60% is one road condition.

[0076] It should be noted that the torque distribution ratio can be understood as the torque distribution ratio of the front and rear motors, and the reference torque distribution ratio can be understood as the torque distribution ratio of the front and rear motors corresponding to the minimum motor noise.

[0077] It should be emphasized that during the development phase, for four-wheel drive vehicles (i.e. vehicles with two front and rear motors), the reference torque distribution ratio corresponding to the minimum motor noise under different road conditions is tested, and a torque distribution table is constructed based on the reference torque distribution ratio and the corresponding road conditions. During actual driving, the actual driving road conditions are compared with the road conditions in the torque distribution table to determine the corresponding torque distribution of the front and rear motors, reduce the noise of the front and rear motors of the vehicle, and achieve motor noise optimization.

[0078] Step S40: optimizing the noise of the vehicle based on the reference torque distribution ratio.

[0079] It is understandable that the reference torque distribution ratio may be the torque distribution ratio corresponding to the minimum motor noise under the road condition, but the motor noise at this time may also be very large and needs to be further optimized.

[0080] It should be noted that the noise optimization of the vehicle can determine whether the minimum noise corresponding to the reference torque distribution ratio is greater than the noise threshold; if the minimum noise corresponding to the reference torque distribution ratio is less than or equal to the noise threshold, the noise optimization is completed;

[0081] If the minimum noise corresponding to the reference torque distribution ratio is greater than the noise threshold, the reference torque distribution ratio is adjusted until the motor noise corresponding to the reference torque distribution ratio meets a preset condition, thereby completing the noise optimization of the vehicle.

[0082] The adjusting of the reference torque distribution ratio may be to further reduce the reference torque distribution ratio until the motor noise of the reference torque distribution ratio is less than a noise threshold.

[0083] It should be emphasized that when the reference torque distribution ratio is adjusted to the minimum, the motor noise may still be greater than or equal to the noise threshold. In this case, the minimum torque will be used as the reference torque distribution ratio corresponding to the road condition.

[0084] Among them, in the specific implementation, 0% (i.e. flat road) + throttle opening is 60%, and the reference torque distribution is 3:7. The torque distribution is based on the driver's required torque as the total torque, and the total torque is distributed to the front and rear motors. If the motor noise is still greater than the noise threshold when the reference torque is distributed 3:7 at this time, the front motor is used as the target motor or the rear motor is used as the target motor (generally the rear motor can be used as the target motor), and the torque of other motors is not changed, and the torque of the target motor is continuously reduced until the motor torque noise is less than the noise threshold or the motor torque can no longer be reduced, thereby obtaining the torque under the road condition, and thus achieving motor noise optimization according to the adjusted torque.

[0085] This embodiment avoids the frequency of the motor noise-related component modes during the vehicle development and design stage; during the vehicle tuning stage, the torque is distributed and adjusted based on the vehicle model, effectively reducing the noise inside the vehicle during starting conditions. There is no need to change the component design during the physical model stage, thereby reducing the cost of solving the electric vehicle starting motor noise problem, while improving efficiency and optimizing the motor starting noise, enhancing user experience, and increasing customer satisfaction.

[0086] refer to Figure 3 , Figure 3 It is a flow chart of a second embodiment of a vehicle noise optimization method of the present invention.

[0087] Based on the first embodiment, the vehicle noise optimization method of this embodiment includes, in step S30:

[0088] Step S31: Detecting the motor noise value of the vehicle, and ending the motor noise optimization when the motor noise value is less than or equal to a motor noise threshold.

[0089] It is understandable that when the motor noise value is less than or equal to the motor noise threshold, the motor noise is small enough and will not cause customer complaints, and the motor noise does not need to be further optimized.

[0090] Step S32: when the motor noise value is greater than the motor noise threshold, obtaining the vehicle model.

[0091] It is understandable that when the motor noise value is greater than the motor noise threshold, the motor noise will affect the user's driving experience and the motor noise needs to be optimized.

[0092] It should be understood that vehicle models can be divided into two types, one is a four-wheel drive vehicle, in which the four-wheel drive vehicle can have a front motor and a rear motor; the other is a two-wheel drive vehicle, in which a two-wheel drive vehicle has a motor on one of the front axle or the rear axle.

[0093] It should be noted that different models may have different noise optimization strategies. The optimization strategy for four-wheel drive vehicles can first adjust the distribution ratio of the front and rear motor torques. Different front and rear motor torque ratios produce different motor noises. If the adjustment of the front and rear motor torque ratios cannot make the motor noise less than or equal to the motor noise threshold, then keep the motor torque of one axis unchanged and reduce the motor torque of the other axis to reduce the motor noise until the motor noise is less than or equal to the motor noise threshold or the motor torque cannot be reduced, to complete the optimization of the motor noise of the four-wheel drive vehicle. If the two-wheel drive vehicle can directly reduce the motor torque until it is less than or equal to the motor noise threshold or the motor torque cannot be reduced, the motor noise optimization of the two-wheel drive vehicle can be completed.

[0094] Step S33: When the vehicle is of a first preset vehicle model, the minimum motor noise and the corresponding reference torque distribution ratio under each preset road condition are detected.

[0095] It is understandable that the first preset vehicle type may be a four-wheel drive vehicle.

[0096] It should be noted that when the vehicle is a four-wheel drive vehicle, various preset road conditions and various preset torque distribution ratios of the vehicle are determined, wherein the preset road conditions may be a plurality of pre-set possible vehicle driving conditions, and the preset torque distribution ratio may be a pre-set possible motor torque distribution ratio of the front and rear motors.

[0097] In a specific implementation, the preset road conditions may include throttle opening 10% + ramp condition 0%, throttle opening 10% + ramp condition 8%, etc.; the preset torque distribution ratio may be 1:1, 1:2, etc. In simple terms, the road conditions may be composed of throttle opening and ramp conditions, wherein the throttle opening range includes 10%-100%, and the ramp condition range includes 0%-30%. A variety of road conditions are obtained by combining the throttle opening range and the ramp condition range. Under different test ramp conditions of 0% (flat), 8%, 12%, 15%, 20%, 30%, different typical throttle openings of 10%, 20%, 30%, ... 90%, 100% are tested respectively to determine the torque distribution ratio with the lowest motor noise under different ramps and throttle openings, and record and store them. The torque distribution calibration working conditions are as shown in Table 1:

[0098]

[0099] If, during actual driving, road conditions that do not correspond to the throttle openings and ramp conditions in the table occur, the corresponding torque ratio can be calculated using the interpolation method based on the torque distribution for the ramp and throttle opening conditions in the table.

[0100] Detecting the motor noise at each preset torque distribution ratio under each preset road condition may include collecting vehicle status information, determining each preset road condition based on the vehicle status information, wherein the vehicle status information includes a throttle opening signal, a motor speed signal, and a motor torque signal; collecting a motor vibration signal and an in-vehicle motor noise signal under each preset road condition; obtaining a motor noise peak and a noise frequency based on the motor vibration signal and the in-vehicle motor noise signal of the vehicle; obtaining a motor noise source based on the motor speed signal and the noise frequency, and determining the motor noise at each preset torque distribution ratio under each preset road condition based on the motor noise source.

[0101] In the specific implementation, a motor noise test system is used to obtain the throttle opening signal, motor speed signal, and motor torque signal when the vehicle starts through the CAN signal to determine the preset road conditions corresponding to the vehicle, and the motor vibration signal and in-vehicle motor noise signal corresponding to each preset road condition are obtained through the vibration noise test system. Then, the motor noise peak value and its corresponding order (or frequency) are obtained through the vibration noise analysis system, and the correlation between the front and rear motor vibration and motor noise is clarified to obtain the noise value of each motor.

[0102] The motor noises of the various preset torque distribution ratios are compared to obtain the minimum motor noise; and the preset torque distribution ratio corresponding to the minimum motor noise is used as a reference torque distribution ratio.

[0103] It should be noted that, after detecting the minimum motor noise and the corresponding reference torque distribution ratio under each preset road condition, the method further includes:

[0104] When the vehicle model is a second preset vehicle model (i.e., a two-wheel drive vehicle), a reference motor torque and a reference motor noise of the vehicle under various reference road conditions are detected; the reference motor noise and a noise threshold are compared, and a problematic road condition in the reference road condition is determined according to the comparison result (wherein a problematic road condition can be understood as a road condition where the noise value is greater than the noise threshold); the reference motor torque corresponding to the problematic road condition is adjusted until the reference motor noise corresponding to the problematic road condition meets a preset condition, thereby completing the noise optimization of the vehicle.

[0105] It is understandable that the preset condition can be understood as that the preset condition is satisfied when the noise value is less than or equal to the noise threshold or the motor torque is minimum.

[0106] It should be noted that when optimizing the noise of the second preset vehicle model, the motor torque adjustment strategy is executed to determine the problem speed point in the motor noise curve under the problem road condition, and the problem motor torque point is determined based on the problem speed point. By reducing the problem motor torque, the electromagnetic excitation is reduced and the motor noise is reduced.

[0107] Detect the motor torque at the problem speed point in the problem road condition and the current motor noise level. Adjust the motor torque under the road condition until the motor noise meets the target or is minimized, completing the torque adjustment.

[0108] In the above torque adjustment process, the sudden change of torque will affect the vehicle's drivability. It is necessary to calibrate and adjust the torque change slope to reduce the impact on drivability. The torque change in this process is shown in the figure below. Figure 4 After completing the calibration and adjustment of the motor torque and its change slope under the working conditions, the relationship between the motor torque and the speed change is recorded and stored.

[0109] Under different test slope conditions of 0% (flat), 8%, 12%, 15%, 20%, 30%, and different typical throttle openings of 10%, 20%, 30%, ... 90%, 100%, the motor torque adjustment strategy is determined under different slopes and throttle openings, and the motor torque adjustment conditions are recorded and stored as shown in Table 2:

[0110]

[0111] The torque adjustment strategy for other slope and throttle opening conditions is determined by the interpolation method.

[0112] In a specific implementation, the torque distribution results and harmonic current amplitude and phase results are recorded and stored; and the front and rear motor torque distribution calibration program and the motor torque adjustment program are integrated into the MCU and VCU software to achieve motor noise optimization.

[0113] It should be emphasized that the difference in noise optimization between four-wheel drive vehicles and two-wheel drive vehicles is that before the four-wheel drive vehicle makes torque adjustment, the torque distribution of the front and rear motors of the four-wheel drive vehicle is adjusted first. When the minimum noise after the torque distribution of the front and rear motors is still greater than the noise threshold, the torque after the distribution is adjusted.

[0114] It is understandable that the torque adjustment for two-wheel drive vehicles and four-wheel drive vehicles is the same, and both can be understood as reducing the motor torque corresponding to the vehicle speed when the noise problem occurs. Simply put, the motor noise is collected to draw a curve, the motor speed curve under the road condition is collected, and the part of the noise curve that is greater than the noise threshold is compared with the motor speed curve to obtain the motor speed corresponding to the noise problem. According to the corresponding relationship between the motor speed and the motor torque, the motor torque corresponding to the problem speed is reduced to achieve motor noise optimization.

[0115] In the specific implementation, the noise optimization process of motor noise for four-wheel drive vehicles and two-wheel drive vehicles can be referred to Figure 5 .

[0116] This embodiment optimizes the vehicle noise by adjusting the torque ratio of the front and rear motors of the vehicle when the vehicle is a four-wheel drive vehicle. If the noise of the four-wheel drive vehicle after the torque ratio optimization is still greater than the noise threshold, the torque when the noise is greater than the threshold under the road condition is further reduced until it cannot be reduced or the motor noise is less than or equal to the noise threshold; if the vehicle is a two-wheel drive vehicle, the motor torque corresponding to the time when the vehicle noise is greater than the noise threshold is directly reduced, thereby optimizing the motor noise of different models and improving the user's vehicle driving experience.

[0117] In addition, an embodiment of the present invention further provides a storage medium, on which a vehicle noise optimization program is stored. When the vehicle noise optimization program is executed by a processor, the steps of the vehicle noise optimization method described above are implemented.

[0118] Reference Figure 6 , Figure 6 This is a structural block diagram of the first embodiment of the vehicle noise optimization device of the present invention.

[0119] like Figure 6 As shown, the vehicle noise optimization device proposed in the embodiment of the present invention includes:

[0120] An acquisition module 10 is used to acquire the modes of various noise-related components of the vehicle;

[0121] The acquisition module 10 is further used to acquire the motor noise value of the vehicle when the modal difference of each noise-related component is greater than the modal frequency avoidance limit;

[0122] The noise optimization module 20 is used to detect the reference torque distribution ratio corresponding to the minimum motor noise under various road conditions when the motor noise value is greater than the motor noise threshold;

[0123] The noise optimization module 20 is further configured to optimize the noise of the vehicle based on the reference torque distribution ratio.

[0124] This embodiment avoids the frequency of the motor noise-related component modes during the vehicle development and design stage; during the vehicle tuning stage, the torque is distributed and adjusted based on the vehicle model, effectively reducing the noise inside the vehicle during starting conditions. There is no need to change the component design during the physical model stage, thereby reducing the cost of solving the electric vehicle starting motor noise problem, while improving efficiency and optimizing the motor starting noise, enhancing user experience, and increasing customer satisfaction.

[0125] In one embodiment, the acquisition module 10 is further used to collect the modes of various noise-related components of the vehicle, wherein the modes of various noise-related components include the rigid body mode of the electric drive assembly, the rigid body mode of the subframe, the whole vehicle acoustic cavity mode, and the noise transmission path mode of the electric drive assembly;

[0126] Respectively calculating the modal difference between any two modes of the electric drive assembly rigid body mode, the subframe rigid body mode, the whole vehicle acoustic cavity mode, and the electric drive assembly noise transmission path mode;

[0127] The modal difference value and the modal frequency avoidance limit are compared.

[0128] In one embodiment, the noise optimization module 20 is further used to detect the motor noise value of the vehicle, and when the motor noise value is less than or equal to the motor noise threshold, the motor noise optimization is terminated;

[0129] When the motor noise value is greater than a motor noise threshold, obtaining the vehicle model;

[0130] When the vehicle is of a first preset vehicle model, the minimum motor noise and the corresponding reference torque distribution ratio under each preset road condition are detected.

[0131] In one embodiment, the noise optimization module 20 is further configured to detect a reference motor torque and a reference motor noise of the vehicle under various reference road conditions when the vehicle model is a second preset vehicle model;

[0132] Comparing the reference motor noise with a noise threshold, and determining a problematic road condition in the reference road condition according to the comparison result;

[0133] The reference motor torque corresponding to the problematic road condition is adjusted until the reference motor noise corresponding to the problematic road condition meets a preset condition, thereby completing the noise optimization of the vehicle.

[0134] In one embodiment, the noise optimization module 20 is further configured to determine each preset road condition and each preset torque distribution ratio of the vehicle when the vehicle is a first preset vehicle type;

[0135] Detecting the motor noise at each preset torque distribution ratio under each preset road condition;

[0136] Compare the motor noises of various preset torque distribution ratios to obtain the minimum motor noise;

[0137] The preset torque distribution ratio corresponding to the minimum motor noise is used as a reference torque distribution ratio.

[0138] In one embodiment, the noise optimization module 20 is further used to collect vehicle status information and determine various preset road conditions according to the vehicle status information, wherein the vehicle status information includes a throttle opening signal, a motor speed signal, and a motor torque signal;

[0139] Collect motor vibration signals and in-vehicle motor noise signals under various preset road conditions;

[0140] Obtaining a motor noise peak value and a noise frequency according to a motor vibration signal of the vehicle and a motor noise signal inside the vehicle;

[0141] The source of the motor noise is obtained according to the motor speed signal and the noise frequency, and the motor noise of each preset torque distribution ratio under each preset road condition is determined according to the motor noise source.

[0142] In one embodiment, the noise optimization module 20 is further used to determine whether the minimum noise corresponding to the reference torque distribution ratio is greater than a noise threshold;

[0143] If the minimum noise corresponding to the reference torque distribution ratio is less than or equal to the noise threshold, the noise optimization is completed;

[0144] If the minimum noise corresponding to the reference torque distribution ratio is greater than the noise threshold, the reference torque distribution ratio is adjusted until the motor noise corresponding to the reference torque distribution ratio meets a preset condition, thereby completing the noise optimization of the vehicle.

[0145] It should be understood that the above is only an example and does not constitute any limitation on the technical solution of the present invention. In specific applications, technicians in this field can make settings as needed, and the present invention does not limit this.

[0146] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of the present invention. In practical applications, technicians in this field can select part or all of them according to actual needs to achieve the purpose of the present embodiment, and no limitation is made here.

[0147] In addition, it should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0148] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0149] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as a read-only memory (ROM) / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0150] It should be understood that, although the various steps in the flowchart in the embodiment of the present application are displayed in sequence according to the indication of the arrows, these steps are not necessarily performed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and it can be performed in other orders. Moreover, at least a portion of the steps in the figure may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and their execution order is not necessarily performed in sequence, but can be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

[0151] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A vehicle noise optimization method, characterized in that: The vehicle noise optimization method comprises: Obtain the modes of each noise-related component of the vehicle; When the modal difference of each noise-related component is greater than the modal frequency avoidance limit, obtaining the motor noise value of the vehicle; When the motor noise value is greater than the motor noise threshold, detecting a reference torque distribution ratio corresponding to the minimum motor noise under various road conditions; performing noise optimization on the vehicle based on the reference torque distribution ratio; When the motor noise value is greater than the motor noise threshold, detecting the minimum motor noise under each preset road condition and the corresponding reference torque distribution ratio includes: Detecting a motor noise value of the vehicle, and ending motor noise optimization when the motor noise value is less than or equal to a motor noise threshold; When the motor noise value is greater than a motor noise threshold, obtaining the vehicle model; When the vehicle is of a first preset vehicle model, detecting minimum motor noise and corresponding reference torque distribution ratio under various preset road conditions; When the vehicle is a first preset vehicle model, detecting the minimum motor noise and the corresponding reference torque distribution ratio under each preset road condition includes: When the vehicle is of a first preset vehicle type, determining each preset road condition and each preset torque distribution ratio of the vehicle; Detecting the motor noise at each preset torque distribution ratio under each preset road condition; Compare the motor noises of various preset torque distribution ratios to obtain the minimum motor noise; The preset torque distribution ratio corresponding to the minimum motor noise is used as a reference torque distribution ratio.

2. The vehicle noise optimization method according to claim 1, characterized in that: Before the modal difference of each noise-related component is greater than the modal frequency avoidance limit, the method further includes: Collecting the modes of various noise-related components of the vehicle, wherein the modes of various noise-related components include rigid body modes of the electric drive assembly, rigid body modes of the subframe, whole vehicle acoustic cavity modes, and noise transmission path modes of the electric drive assembly; Respectively calculating the modal difference between any two modes of the electric drive assembly rigid body mode, the subframe rigid body mode, the whole vehicle acoustic cavity mode, and the electric drive assembly noise transmission path mode; The modal difference and the modal frequency avoidance limit are compared.

3. The vehicle noise optimization method according to claim 1, characterized in that: After detecting the minimum motor noise and the corresponding reference torque distribution ratio under each preset road condition, the method further includes: When the vehicle model is a second preset vehicle model, detecting a reference motor torque and a reference motor noise of the vehicle under various reference road conditions; Comparing the reference motor noise with a noise threshold, and determining a problematic road condition in the reference road condition according to the comparison result; The reference motor torque corresponding to the problematic road condition is adjusted until the reference motor noise corresponding to the problematic road condition meets a preset condition, thereby completing the noise optimization of the vehicle.

4. The vehicle noise optimization method according to claim 1, characterized in that: The detecting of the motor noise of each preset torque distribution ratio under each preset road condition includes: Collecting vehicle status information, and determining various preset road conditions according to the vehicle status information, wherein the vehicle status information includes a throttle opening signal, a motor speed signal, and a motor torque signal; Collect motor vibration signals and in-vehicle motor noise signals under various preset road conditions; Obtaining a motor noise peak value and a noise frequency according to a motor vibration signal of the vehicle and a motor noise signal inside the vehicle; The source of the motor noise is obtained according to the motor speed signal and the noise frequency, and the motor noise of each preset torque distribution ratio under each preset road condition is determined according to the motor noise source.

5. The vehicle noise optimization method according to any one of claims 1 to 4, characterized in that: The performing noise optimization on the vehicle based on the reference torque distribution ratio includes: Determining whether the minimum noise corresponding to the reference torque distribution ratio is greater than a noise threshold; If the minimum noise corresponding to the reference torque distribution ratio is less than or equal to the noise threshold, the noise optimization is completed; If the minimum noise corresponding to the reference torque distribution ratio is greater than the noise threshold, the reference torque distribution ratio is adjusted until the motor noise corresponding to the reference torque distribution ratio meets a preset condition, thereby completing the noise optimization of the vehicle.

6. A vehicle noise optimization device, characterized in that: The vehicle noise optimization device comprises: An acquisition module, used to acquire the modes of various noise-related components of the vehicle; The acquisition module is further used to acquire the motor noise value of the vehicle when the modal difference of each noise-related component is greater than the modal frequency avoidance limit; A noise optimization module, used for detecting a reference torque distribution ratio corresponding to the minimum motor noise under various road conditions when the motor noise value is greater than the motor noise threshold; The noise optimization module is further used to optimize the noise of the vehicle based on the reference torque distribution ratio; The noise optimization module is further used to detect the motor noise value of the vehicle, and when the motor noise value is less than or equal to the motor noise threshold, end the motor noise optimization; when the motor noise value is greater than the motor noise threshold, obtain the vehicle model; when the vehicle is a first preset vehicle model, detect the minimum motor noise and the corresponding reference torque distribution ratio under each preset road condition; The noise optimization module is further used to determine each preset road condition and each preset torque distribution ratio of the vehicle when the vehicle is a first preset vehicle model; detect the motor noise of each preset torque distribution ratio under each preset road condition; compare the motor noise of each preset torque distribution ratio to obtain the minimum motor noise; and use the preset torque distribution ratio corresponding to the minimum motor noise as the reference torque distribution ratio.

7. A vehicle noise optimization device, characterized in that: The device comprises: a memory, a processor, and a vehicle noise optimization program stored in the memory and executable on the processor, wherein the vehicle noise optimization program is configured to implement the vehicle noise optimization method according to any one of claims 1 to 5.

8. A storage medium, characterized in that: The storage medium stores a vehicle noise optimization program, and when the vehicle noise optimization program is executed by the processor, the vehicle noise optimization method according to any one of claims 1 to 5 is implemented.

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