Compressor low-noise operation rotating speed calibration method and device and storage medium

Abstract

The invention discloses a compressor low-noise operation rotating speed calibration method and device and a storage medium, and relates to the technical field of compressor control, the compressor low-noise operation rotating speed calibration method comprises the steps that rotating speed acceleration noise associated data is acquired, and a to-be-evaded rotating speed threshold value is determined according to the rotating speed acceleration noise associated data; whether the whole vehicle meets a static condition or a dynamic driving condition or not is determined, the vehicle meeting the static condition is in a static state, and the vehicle meeting the dynamic driving condition is in a driving state; when the whole vehicle meets the static condition, compressor noise data and compressor vibration data are determined; when the whole vehicle meets the dynamic driving condition, environment noise data and environment vibration data are determined; and according to the compressor noise data, the compressor vibration data, the environment noise data, the environment vibration data and the to-be-evaded rotating speed threshold value, data matching is conducted, and the target rotating speed of the compressor is obtained. The effect of accurately calibrating the low-noise operation rotating speed of the compressor is achieved.

Description

Technical Field

[0001] This application relates to the field of compressor control technology, and in particular to a method, apparatus and storage medium for calibrating the low-noise operating speed of a compressor. Background Technology

[0002] New energy vehicles, no longer relying on traditional internal combustion engines as their primary power source, have experienced significant changes in overall vehicle noise characteristics. Compared to gasoline vehicles, electric drive systems operate much quieter, and the masking effect of engine noise on the cabin interior is largely eliminated, making previously imperceptible noise from auxiliary components more prominent. Among these, the electric compressor, as a key component in the air conditioning system, is increasingly becoming a significant factor affecting cabin comfort due to the noise and vibration it generates during startup and continuous operation.

[0003] Given the aforementioned technical background, traditional solutions typically focus on the compressor itself or a single control dimension. This involves optimizing the compressor's structural design, improving installation vibration isolation conditions, or implementing fixed logic control of the compressor speed based on cooling requirements, aiming to reduce operating noise or vibration levels. However, these solutions generally fail to adequately consider the actual environmental noise variations of the vehicle under different road surface and speed conditions, and also fail to effectively address the impact of the compressor's inherent vibration characteristics on in-vehicle comfort within specific speed ranges. Consequently, the compressor's vibration can still be noticeably perceived by users under certain operating conditions.

[0004] The above content is only used to help understand the technical solution of this application and does not represent an admission that the above content is prior art. Summary of the Invention

[0005] The main purpose of this application is to provide a method, device and storage medium for calibrating the low-noise operating speed of a compressor, which aims to solve the technical problem that the noise and vibration generated by the electric compressor during the intervention and operation of new energy vehicles under different actual driving conditions are easily perceived by the occupants of the vehicle, thus affecting the overall vehicle comfort.

[0006] To achieve the above objectives, this application proposes a method for calibrating the low-noise operating speed of a compressor, the method comprising: Obtain the speed acceleration noise correlation data, and determine the speed threshold to be avoided based on the speed acceleration noise correlation data; Determine whether the vehicle meets static or dynamic driving conditions. A vehicle that meets static conditions is in a stationary state, and a vehicle that meets dynamic driving conditions is in a driving state. When the vehicle meets the static conditions, determine the compressor noise data and compressor vibration data; When the vehicle meets the dynamic driving conditions, environmental noise data and environmental vibration data are determined. The target speed of the compressor is obtained by matching the compressor noise data, compressor vibration data, environmental noise data, environmental vibration data, and the speed threshold to be avoided.

[0007] In one embodiment, the step of determining compressor noise data and compressor vibration data when the vehicle meets the static conditions includes: When the vehicle meets the static conditions, a first in-vehicle noise signal located at a preset noise collection position and a first vibration signal at a preset structural connection point are collected. The compressor noise data is determined based on the first in-vehicle noise signal; The compressor vibration data is determined based on the first vibration signal.

[0008] In one embodiment, the step of determining environmental noise data and environmental vibration data when the vehicle meets the dynamic driving conditions includes: When the vehicle meets the dynamic driving conditions, a second in-vehicle noise signal located at a preset noise collection position and a second vibration signal at a preset structural connection point are collected. Environmental noise data is determined based on the second in-vehicle noise signal; Environmental vibration data are determined based on the second vibration signal.

[0009] In one embodiment, the step of determining whether the vehicle meets static conditions or dynamic driving conditions includes: Determine the static environmental parameters and preset rotational speed value based on the static parameters, and obtain the current environmental parameters; When the current environmental parameters are the static environmental parameters and the compressor is running at the preset speed value, it is determined that the vehicle meets the static conditions; The preset road surface type and preset vehicle speed are determined based on dynamic parameters; The vehicle is controlled to travel under the preset road surface type and the preset vehicle speed conditions, and the compressor is kept in a non-operating state during the vehicle's travel. When the compressor is not in operation, the vehicle is determined to meet the dynamic driving conditions.

[0010] In one embodiment, the step of obtaining the target speed of the compressor by matching data based on the compressor noise data, the compressor vibration data, the environmental noise data, the environmental vibration data, and the speed threshold to be avoided includes: Determine whether the compressor noise data is greater than or equal to the ambient noise data; Determine whether the compressor vibration data is greater than or equal to the environmental vibration data; When the compressor noise data is greater than or equal to the environmental noise data and the compressor vibration data is greater than or equal to the environmental vibration data, the compressor speed range is determined based on the compressor noise data and the compressor vibration data. Within the compressor speed range, speed values ​​lower than the speed threshold to be avoided are deleted to obtain the target speed of the compressor.

[0011] In one embodiment, after the step of performing data matching based on the compressor noise data, the compressor vibration data, the environmental noise data, the environmental vibration data, and the speed threshold to be avoided to obtain the target speed of the compressor, the method further includes: Obtain a preset cooling speed and a preset resonance range, wherein the preset cooling speed is greater than the target speed of the compressor; When the compressor cooling demand is detected to be the target cooling demand, the compressor speed is controlled to increase to the preset cooling speed according to the preset resonance range in order to control the cooling noise.

[0012] In one embodiment, the step of acquiring rotational speed acceleration noise correlation data includes: Obtain preset unit test bench conditions, preset compressor speed range, and preset compressor speed step size; Under the preset single-unit test bench conditions, the compressor operation is controlled according to the preset compressor speed range and the preset compressor speed step size, and vibration acceleration data and noise data are collected during the compressor operation process; The corresponding compressor speed is determined based on the vibration acceleration data and the noise data; The vibration acceleration data, the noise data, and the compressor speed are correlated to obtain speed acceleration noise correlation data.

[0013] In one embodiment, the step of determining the speed threshold to be avoided based on speed acceleration noise correlation data includes: Obtain the preset vibration acceleration threshold and preset noise threshold; The rotational speed and acceleration noise correlation data are filtered and analyzed to obtain noise-reduced correlation data; When the noise reduction correlation data is greater than the preset vibration acceleration threshold and the preset noise threshold, the compressor resonance speed range is determined according to the speed corresponding to the noise reduction correlation data. The speed threshold to be avoided is determined based on the compressor's resonant speed range.

[0014] In addition, to achieve the above objectives, this application also proposes a compressor low-noise operating speed calibration device, which includes: a data acquisition module, used to acquire speed acceleration noise correlation data, and determine the speed threshold to be avoided based on the speed acceleration noise correlation data; The operating condition determination module is used to determine whether the vehicle meets static conditions or dynamic driving conditions, wherein the vehicle under static conditions is in a stationary state, and the vehicle under dynamic driving conditions is in a driving state. The static calibration module is used to determine compressor noise data and compressor vibration data when the vehicle meets the static conditions. The dynamic calibration module is used to determine environmental noise data and environmental vibration data when the vehicle meets the dynamic driving conditions; The speed determination module is used to perform data matching based on the compressor noise data, the compressor vibration data, the environmental noise data, the environmental vibration data, and the speed threshold to be avoided, to obtain the target speed of the compressor.

[0015] In addition, to achieve the above objectives, this application also proposes a compressor low-noise operating speed calibration device, the device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the compressor low-noise operating speed calibration method described above.

[0016] In addition, to achieve the above objectives, this application also proposes a storage medium, which is a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the steps of the compressor low-noise operation speed calibration method described above.

[0017] In addition, to achieve the above objectives, this application also provides a computer program product, which includes a computer program that, when executed by a processor, implements the steps of the compressor low-noise operation speed calibration method described above.

[0018] One or more technical solutions proposed in this application have at least the following technical effects: This technology addresses several issues. First, it acquires speed, acceleration, and noise correlation data to determine the speed threshold to be avoided. Then, it differentiates between static and dynamic driving states, acquiring compressor noise and vibration data under static conditions and environmental noise and vibration data under dynamic conditions. Finally, it combines these four types of data with the speed threshold to be avoided for data matching, thereby obtaining the target compressor speed. This approach solves the problems of inherent resonance points in electric compressors, which easily generate prominent noise perceived by users. Furthermore, existing tuning methods do not consider road and wind noise environments, and compressor speed control lacks dynamic adaptation logic, leading to noise and vibration affecting in-vehicle comfort. Compared to existing technologies, this approach, by determining the speed threshold to be avoided, can accurately avoid resonance points and reduce noise and vibration caused by resonance. By separately collecting noise and vibration data of the compressor itself under static conditions and the vehicle environment under dynamic conditions, and then matching the data to obtain the target speed, the compressor speed can be adapted to the environment under different vehicle conditions. This ensures that compressor noise and vibration are not more prominent than environmental noise and vibration, ultimately achieving low-noise compressor operation, reducing user perception of compressor intervention and operation, and improving in-vehicle comfort. Attached Figure Description

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

[0020] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 This is a flowchart illustrating an embodiment of the compressor low-noise operating speed calibration method of this application. Figure 2 This is a flowchart illustrating Embodiment 2 of the compressor low-noise operating speed calibration method of this application; Figure 3 This is a schematic diagram of the module structure of the compressor low-noise operating speed calibration device according to an embodiment of this application; Figure 4 This is a schematic diagram of the equipment structure of the hardware operating environment involved in the compressor low-noise operating speed calibration method in this application embodiment.

[0022] The purpose, features, and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0023] It should be understood that the specific embodiments described herein are merely illustrative of the technical solutions of this application and are not intended to limit this application.

[0024] To better understand the technical solution of this application, a detailed description will be provided below in conjunction with the accompanying drawings and specific implementation methods.

[0025] The main solution of this application embodiment is as follows: Obtain rotational speed acceleration noise correlation data, and determine the speed threshold to be avoided based on the rotational speed acceleration noise correlation data; determine whether the vehicle meets static conditions or dynamic driving conditions, wherein a vehicle meeting static conditions is in a stationary state, and a vehicle meeting dynamic driving conditions is in a driving state; when the vehicle meets the static conditions, determine compressor noise data and compressor vibration data; when the vehicle meets the dynamic driving conditions, determine environmental noise data and environmental vibration data; perform data matching based on the compressor noise data, compressor vibration data, environmental noise data, environmental vibration data, and the speed threshold to be avoided to obtain the target speed of the compressor.

[0026] In this embodiment, for ease of description, the following description will focus on the device for calibrating the low-noise operating speed of the compressor.

[0027] Because existing technologies in new energy vehicles generate noise and vibration during the intervention and operation of the electric compressor under different actual driving conditions, which are easily perceived by occupants and thus affect the overall vehicle comfort, this application provides a solution. This solution employs a technique that first acquires speed-acceleration-noise correlation data to determine the speed threshold to be avoided; then distinguishes between static and dynamic driving states, acquiring compressor noise and vibration data under static conditions and environmental noise and vibration data under dynamic conditions respectively; finally, combines the above four types of data with the speed threshold to be avoided for data matching to obtain the target compressor speed. This technique addresses the inherent resonance point of the electric compressor, which easily generates significant noise. The noise is perceived by the user, and the existing debugging does not take into account the road noise and wind noise environment of the whole vehicle. The compressor speed control lacks dynamic adaptation logic, which leads to noise and vibration affecting the comfort of the vehicle. Compared with the existing technology, by determining the speed threshold to be avoided, the resonance point can be accurately avoided, reducing the noise and vibration caused by resonance. By collecting noise and vibration data of the compressor itself under static conditions and the whole vehicle environment under dynamic conditions, and then matching the data to obtain the target speed, the compressor speed can be adapted to the environment under different conditions of the whole vehicle. This ensures that the compressor noise and vibration are not more prominent than the environmental noise and vibration, and ultimately achieves low-noise operation of the compressor, reducing the user's perception of the compressor intervention and operation, and improving the comfort of the vehicle.

[0028] It should be noted that the executing entity in this embodiment can be a computing service device with data processing, network communication, and program execution functions, such as a tablet computer, personal computer, or mobile phone, or an electronic device capable of performing the above functions, such as a compressor low-noise operating speed calibration device. The following description uses a compressor low-noise operating speed calibration device as an example to illustrate this embodiment and the subsequent embodiments.

[0029] Based on this, embodiments of this application provide a method for calibrating the low-noise operating speed of a compressor, referring to... Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of the compressor low-noise operation speed calibration method of this application.

[0030] In this embodiment, the compressor low-noise operating speed calibration method includes steps S10~S50: Step S10: Obtain rotational speed acceleration noise correlation data, and determine the rotational speed threshold to be avoided based on the rotational speed acceleration noise correlation data; It should be noted that the speed-acceleration-noise correlation data is a data set formed by correlating the compressor's speed, vibration acceleration during operation, and the generated noise value. It can intuitively reflect the correspondence between compressor vibration and noise at different speeds.

[0031] Additionally, the speed threshold to be avoided refers to the speed values ​​that need to be avoided during compressor operation. The compressor vibration and noise corresponding to these speeds are more prominent and easily perceived by users. These speeds are identified from the resonance peak values ​​identified in the speed acceleration noise correlation data.

[0032] Understandably, by constructing a single electric compressor test bench and equipping it with a nine-point testing device (i.e., a noise microphone, vibration acceleration sensor, speed control module, and data acquisition instrument), the compressor can be controlled to operate within a range of 1000 to 6000 revolutions per minute in 200 revolutions per minute increments, with each speed running stably for 30 seconds. The three-dimensional vibration acceleration and A-weighted noise values ​​can be collected using the nine-point method, and a three-dimensional map can be plotted to obtain speed-acceleration-noise correlation data. This data can then be filtered to remove background noise, and vibration and noise peak values ​​can be extracted. Speed ​​ranges with vibration acceleration greater than or equal to 0.3 m / s² or noise levels greater than or equal to 60 dB are identified as resonance ranges. The speeds corresponding to the resonance peaks are marked, thus determining the speed threshold to be avoided.

[0033] In one feasible implementation, step S10 may include steps A11 to A14: Step A11: Obtain the preset unit test bench conditions, preset compressor speed range, and preset compressor speed step size; It should be noted that the preset single-unit test bench conditions refer to the configuration requirements that the test platform built for single compressor testing must meet. Specifically, the test bench must be equipped with nine-point method testing equipment, namely a noise microphone and vibration acceleration sensor, speed control module and data acquisition instrument, to ensure that vibration and noise tests can be carried out independently and in a controllable manner.

[0034] In addition, the preset compressor speed range is a speed range set to cover the entire operating range of the compressor, specifically 1000 to 6000 revolutions per minute. This range can fully encompass all speed conditions of the compressor during daily operation.

[0035] Additionally, the preset compressor speed step size refers to a fixed interval when adjusting the compressor speed, specifically 200 revolutions per minute. By gradually adjusting the speed using this step size, it can be ensured that the test data at each speed node can be effectively collected.

[0036] It is understandable that the pre-defined individual test bench conditions, i.e. the equipment configuration requirements of the test bench, as well as the pre-defined compressor speed range of 1000 to 6000 rpm and the pre-defined compressor speed step size of 200 rpm, are used to obtain these pre-defined parameters for subsequent testing.

[0037] Step A12: Under the preset single-unit test bench conditions, control the compressor operation according to the preset compressor speed range and the preset compressor speed step size, and collect vibration acceleration data and noise data during the compressor operation process; It should be noted that vibration acceleration data refers to vibration-related data collected by a vibration acceleration sensor during compressor operation, specifically the vibration acceleration values ​​in the X, Y, and Z directions, which can comprehensively reflect the vibration intensity of the compressor in different directions.

[0038] Additionally, noise data refers to the sound-related data generated by the compressor during operation, collected through a noise microphone. Specifically, it is an A-weighted noise value that can accurately measure the intensity of the compressor's operating noise.

[0039] Understandably, on a test bench that meets the preset single-unit test bench conditions, the compressor is controlled to run at a preset compressor speed range of 1000 to 6000 rpm and a preset speed step of 200 rpm. Each speed is run stably for 30 seconds. The three-dimensional vibration acceleration data and A-weighted noise data at each speed are collected by the nine-point method, which is to evenly arrange nine test points around the test bench and 1 meter away from the compressor casing.

[0040] Step A13: Determine the corresponding compressor speed based on the vibration acceleration data and the noise data; It should be noted that the corresponding compressor speed refers to the speed at which the compressor operates stably, corresponding to the collected vibration acceleration data and noise data. This speed strictly follows the preset speed range and speed step setting to ensure accurate correspondence between the data and the speed.

[0041] It is understandable that, since the compressor operates stably within a preset speed range at fixed steps, a set of vibration acceleration data and noise data will be collected at each speed. Therefore, the specific compressor speed corresponding to each set of vibration acceleration data and noise data can be determined based on the timing of data collection and the speed adjustment sequence.

[0042] Step A14: Correlate the vibration acceleration data, the noise data, and the compressor speed to obtain speed acceleration noise correlation data.

[0043] It is understandable that the determined compressor speed is bound to the vibration acceleration data and noise data collected at that speed to form speed-acceleration-noise correlation data.

[0044] In one feasible implementation, step S10 may further include steps B11 to B14: Step B11: Obtain the preset vibration acceleration threshold and the preset noise threshold; It should be noted that the preset vibration acceleration threshold is a vibration intensity standard used to determine the resonance state of the compressor. In this embodiment, it is specifically 0.3 meters per second squared. This value is determined based on the comfort requirements of compressor operation. When the compressor vibration acceleration exceeds this value, the vibration will be clearly perceived by the user.

[0045] Step B12: Filter and analyze the rotational speed and acceleration noise correlation data to obtain noise-reduced correlation data; It should be noted that filtering analysis is a processing method to remove interference components from data. Specifically, it removes environmental background noise from the speed, acceleration, and noise correlation data, retaining only the vibration and noise data generated by the compressor itself, thus ensuring the accuracy of subsequent analysis results.

[0046] In addition, the noise reduction correlation data is pure data obtained after filtering and analysis, that is, the correlation data of speed, vibration acceleration and noise value have been eliminated from the interference of environmental background noise, which can truly reflect the operating characteristics of the compressor itself.

[0047] Understandably, filtering analysis is used to process the speed and acceleration noise correlation data to remove environmental background noise interference, resulting in noise-reduced correlation data that only contains information related to the compressor's own operation.

[0048] Step B13: When the noise reduction correlation data is greater than the preset vibration acceleration threshold and the preset noise threshold, determine the compressor resonance speed range based on the rotation speed corresponding to the noise reduction correlation data. It should be noted that the compressor resonance speed range refers to the speed range in which the compressor's vibration or noise exceeds the standard during operation. Specifically, it is the set of speeds corresponding to vibration acceleration greater than or equal to the preset vibration acceleration threshold of 0.3 m / s², or noise value greater than or equal to the preset noise threshold of 60 dB in the noise reduction correlation data. Within this range, the compressor's vibration and noise will be significantly prominent.

[0049] Understandably, the vibration acceleration data in the noise reduction correlation data is compared with the preset vibration acceleration threshold of 0.3 m / s², and the noise data in the noise reduction correlation data is compared with the preset noise threshold of 60 dB. When the vibration acceleration is greater than or equal to 0.3 m / s² or the noise value is greater than or equal to 60 dB, all the corresponding rotational speeds are extracted and integrated to form the compressor resonance rotational speed range.

[0050] Step B14: Determine the speed threshold to be avoided based on the compressor resonant speed range.

[0051] Understandably, further analysis of the determined compressor resonance speed range is needed to extract the specific speeds corresponding to the vibration peak or noise peak within that range, and these speeds are determined as speed thresholds to be avoided, thus forming a list of compressor resonance points.

[0052] Step S20: Determine whether the vehicle meets the static conditions or the dynamic driving conditions. A vehicle that meets the static conditions is in a stationary state, and a vehicle that meets the dynamic driving conditions is in a driving state. It should be noted that static conditions refer to conditions where the vehicle is stationary and meets specific test environment requirements. Specifically, the vehicle is parked in a semi-anechoic chamber or a windless, flat, open space where the ambient noise is less than or equal to 35 decibels. At the same time, equipment that may cause interference, such as the drive motor and air conditioning external circulation, must be turned off to ensure that there is no additional interference in the test environment.

[0053] Additionally, dynamic driving conditions refer to the operating conditions under which a vehicle is in motion. The vehicle will travel on different types of typical road surfaces according to a set speed gradient, which will naturally generate environmental noise and vibration such as road noise and wind noise.

[0054] Understandably, determining whether a vehicle meets static or dynamic driving conditions by judging whether it is currently stationary and meets the requirements of an interference-free testing environment, or in motion, provides a clear premise for subsequent targeted data collection.

[0055] In one feasible implementation, step S20 may include steps S21 to S23: Step S21: Determine the static environment parameters and preset rotation speed value based on the static parameters, and obtain the current environment parameters; It should be noted that static parameters are a set of parameters used to define the relevant conditions for static testing of the whole vehicle and the test speed of the compressor. They include the criteria for judging the static environment and the basis for setting the speed during compressor testing, and are the basic principles for conducting static testing.

[0056] In addition, the static environment parameter is the specific environmental requirement for static testing, namely, the ambient noise is less than or equal to 35 decibels, and the vehicle must be parked in a semi-anechoic chamber or a windless, flat, open space. This parameter can ensure that there is no additional environmental interference in static testing.

[0057] Additionally, the preset speed value is the speed range and adjustment step size set for static testing of the compressor, specifically 1000 to 6000 revolutions per minute, with an adjustment step of 200 revolutions per minute, covering the entire operating range of the compressor.

[0058] In addition, the current environmental parameters are real-time data on the vehicle's environment, mainly including the level of environmental noise and the status of the vehicle's parking area, which are used for comparison with static environmental parameters.

[0059] Understandably, the static environmental parameters are first determined based on static parameters, namely, the environmental noise is less than or equal to 35 decibels and the parking site meets the requirements, as well as the preset speed value, namely 1000-6000 revolutions per minute with a step size of 200 revolutions per minute. Then, the current environmental parameters, such as the current environmental noise and the status of the parking site, are obtained in real time through the detection equipment.

[0060] Step S22: When the current environmental parameters are the static environmental parameters and the compressor is running at the preset speed value, it is determined that the vehicle meets the static conditions; It should be noted that static conditions refer to the standard conditions for static testing of the whole vehicle. In addition to the current environmental parameters meeting the static environmental parameters and the compressor running at the preset speed value, it is also necessary to turn off the drive motor, air conditioning external circulation and other interference sources to ensure that the test only reflects the noise and vibration of the compressor itself.

[0061] Understandably, if the current environmental parameters are consistent with the static environmental parameters, the compressor is running at the preset speed value, and interference sources such as the drive motor and air conditioning external circulation have been turned off, then the vehicle is determined to meet the static conditions.

[0062] Step S23: Determine the preset road surface type and preset vehicle speed based on dynamic parameters; It should be noted that dynamic parameters are a set of parameters used to define the relevant conditions for vehicle dynamic testing. They include the road surface type standards and vehicle speed gradient setting basis required for the test, providing clear guidance for conducting dynamic tests.

[0063] In addition, the preset road surface types are typical road surface types selected in dynamic testing, namely urban asphalt roads, highways, rural cement roads, and gravel roads, which can cover most daily driving scenarios.

[0064] In addition, the preset speed is the speed range and adjustment gear set during dynamic testing, which is 20 to 120 kilometers per hour, with each 20 kilometers per hour being a gear, covering the commonly used driving speed range of the vehicle.

[0065] Understandably, based on pre-set dynamic parameters, four preset road surface types and preset vehicle speeds of 20-120 km / h, with each 20 km / h representing a speed increment, are specified for dynamic testing.

[0066] Step S24: Control the vehicle to drive under the preset road surface type and the preset vehicle speed conditions, and control the compressor to be in a non-operating state during the vehicle's driving process; It should be noted that the non-operating state refers to the state in which the compressor stops working. At this time, the compressor will not produce noise or vibration, which can avoid interfering with the collection of environmental noise and vibration data during dynamic testing.

[0067] Understandably, the vehicle is driven sequentially on four preset road surface types at various preset speeds, with the compressor shut down and in a non-operating state throughout the entire driving process.

[0068] Step S25: When the compressor is in a non-operating state, determine that the vehicle meets the dynamic driving conditions.

[0069] It should be noted that dynamic driving conditions refer to the standard state under which the whole vehicle undergoes dynamic testing. That is, the vehicle travels on a preset road surface at a preset speed, and the compressor is not running, so as to ensure that the collected data only reflects the environmental conditions related to road noise and wind noise.

[0070] Understandably, once it is confirmed that the compressor is not in operation and the vehicle is traveling at a preset speed on a preset road surface, it is determined that the vehicle meets the dynamic driving conditions.

[0071] Step S30: When the vehicle meets the static conditions, determine the compressor noise data and compressor vibration data; It should be noted that the compressor noise data refers to the noise data collected from the preset noise collection position, namely the driver's right ear position, when the vehicle is in a static state. This data directly reflects the noise level generated by the compressor during operation inside the vehicle and can truly reflect the compressor noise situation perceived by the user.

[0072] Additionally, compressor vibration data refers to vibration data collected from the pre-designed structural connection points, namely the driver's seat rail, when the vehicle is in a static state. This data can effectively reflect the actual situation of the vibration generated by the compressor during operation being transmitted into the vehicle.

[0073] Understandably, when the vehicle meets static conditions, the compressor is controlled to run according to the speed gradient and each speed is stable for 30 seconds. A noise microphone is placed at the driver's right ear and a vibration acceleration sensor is placed at the driver's seat rail to collect the corresponding in-vehicle noise value and seat vibration value at each speed, thereby determining the compressor noise data and compressor vibration data.

[0074] In one feasible implementation, step S30 may include steps S31 to S33: Step S31: When the vehicle meets the static conditions, collect the first in-vehicle noise signal located at the preset noise collection position and the first vibration signal at the preset structural connection point. It should be noted that the preset noise collection position is a specific location that is pre-set for collecting in-vehicle noise. This location can truly reflect the compressor noise felt by the user inside the vehicle. In this embodiment, it is the position of the driver's right ear.

[0075] Additionally, the first in-vehicle noise signal refers to the noise-related electrical signal collected from the preset noise collection location when the vehicle is in a static state. This signal mainly originates from the operation of the compressor and is not affected by road noise or wind noise generated during driving.

[0076] Additionally, the preset structural connection part is a pre-defined vehicle structural position for collecting vibration signals. This part can effectively transmit the vibration generated by the compressor operation. In this embodiment, it is the driver's seat guide rail.

[0077] In addition, the first vibration signal refers to the vibration-related electrical signal collected from the pre-designed structural connection parts when the whole vehicle is in a static condition, which directly reflects the actual situation of the compressor vibration being transmitted into the vehicle.

[0078] Understandably, the first step is to ensure the vehicle meets static conditions, i.e., it is parked in a semi-anechoic chamber or a windless, flat, open space with ambient noise levels less than or equal to 35 decibels, and that interference sources such as the drive motor and air conditioning external circulation are turned off. Next, a noise microphone is placed at the driver's right ear, and a vibration acceleration sensor is placed on the driver's seat rail. The compressor is controlled to operate at a preset speed gradient, with each speed stabilized for 30 seconds, and the corresponding first in-vehicle noise signal and first vibration signal are collected at each speed.

[0079] Step S32: Determine compressor noise data based on the first in-vehicle noise signal; It should be noted that the compressor noise data is quantitative data obtained by processing the first in-vehicle noise signal. It can intuitively reflect the noise intensity generated by the compressor in the vehicle at different speeds and is an important basis for subsequent data matching.

[0080] It is understandable that the collected in-vehicle noise signal is processed to convert the electrical signal into a quantifiable noise value, forming compressor noise data. This data corresponds one-to-one with the compressor speed. For example, in this embodiment, the compressor noise data corresponding to 3000 revolutions per minute is 58 decibels.

[0081] Step S33: Determine the compressor vibration data based on the first vibration signal.

[0082] It should be noted that the compressor vibration data is quantitative data obtained after processing the first vibration signal. It can clearly reflect the intensity of the compressor vibration transmitted into the vehicle at different speeds, providing a key vibration reference for subsequent speed calibration.

[0083] Understandably, the first vibration signal collected is processed to convert the electrical signal into a quantifiable vibration acceleration value, thus forming compressor vibration data.

[0084] Step S40: When the vehicle meets the dynamic driving conditions, determine the environmental noise data and environmental vibration data; It should be noted that environmental noise data refers to noise data collected from a preset noise collection location, namely the driver's right ear position, when the vehicle is in dynamic driving conditions. This data mainly consists of road noise and wind noise generated during vehicle operation and can accurately reflect the in-vehicle environmental noise level under different driving conditions.

[0085] Additionally, environmental vibration data refers to vibration data collected from the pre-set structural connection points, namely the driver's seat rail, when the vehicle is under dynamic driving conditions. This data is mainly caused by road noise and can accurately reflect the vibration level of the in-vehicle environment under different driving conditions.

[0086] Understandably, when the vehicle meets the dynamic driving conditions, four typical road surfaces are selected: urban asphalt roads, highways, rural cement roads, and gravel roads. The vehicle is driven at speed gradients of 20 to 120 kilometers per hour, with each 20 kilometers per hour representing a gear. The air conditioning compressor is turned off, and only natural environmental data is recorded. The same test points as in step S30 are used to collect in-vehicle noise values ​​and seat vibration values ​​under different road surfaces and different vehicle speeds, thereby determining the environmental noise data and environmental vibration data.

[0087] In one feasible implementation, step S40 may include steps S41 to S43: Step S41: When the vehicle meets the dynamic driving conditions, collect the second in-vehicle noise signal located at the preset noise collection position and the second vibration signal at the preset structural connection point. It should be noted that the preset noise collection location is a specific location pre-set for collecting in-vehicle noise. This location can truly reflect the environmental noise situation felt by the user inside the vehicle. In this embodiment, it is the driver's right ear position, which is consistent with the noise collection location of the vehicle static test to ensure the validity of the data comparison.

[0088] Additionally, the second in-vehicle noise signal refers to the noise-related electrical signal collected from a preset noise collection location when the vehicle is in dynamic driving conditions. This signal mainly consists of road noise and wind noise generated during vehicle operation and does not include noise interference generated by the compressor operation.

[0089] In addition, the preset structural connection part is a pre-set vehicle structural position for collecting vibration signals. This part can effectively transmit the vibration caused by road noise during driving. In this embodiment, it is the driver's seat guide rail, which is the same as the vibration collection part of the whole vehicle static test to ensure data consistency.

[0090] Additionally, the second vibration signal refers to the vibration-related electrical signal collected from the pre-designed structural connection points when the vehicle is in dynamic driving conditions. This signal mainly originates from the vibration caused by road bumps and air resistance, and directly reflects the environmental vibration under dynamic driving conditions.

[0091] Understandably, the first step is to ensure the vehicle meets dynamic driving conditions, specifically by selecting four typical road surfaces: urban asphalt roads, highways, rural cement roads, and gravel roads. The vehicle is driven at speeds ranging from 20 to 120 km / h, with each speed increment being 20 km / h. The air conditioning compressor is turned off to eliminate interference. Then, using a test point setup, a noise microphone is placed at the driver's right ear, and a vibration acceleration sensor is placed along the driver's seat rail to collect second in-vehicle noise and vibration signals corresponding to different road surfaces and vehicle speeds.

[0092] Step S42: Determine environmental noise data based on the second in-vehicle noise signal; It should be noted that the environmental noise data is quantitative data obtained after processing the noise signal inside the second vehicle. It can intuitively reflect the environmental noise intensity inside the vehicle under different road surface and vehicle speed combinations, and is the core environmental benchmark data for subsequent matching with the compressor noise data.

[0093] Understandably, the collected second in-vehicle noise signal is processed to convert the electrical signal into a quantifiable noise value, forming environmental noise data.

[0094] Step S43: Determine environmental vibration data based on the second vibration signal.

[0095] It should be noted that the environmental vibration data is quantitative data obtained after processing the second vibration signal. It can clearly reflect the environmental vibration intensity inside the vehicle under different road surface and vehicle speed combinations, providing a key vibration benchmark for subsequent matching with compressor vibration data.

[0096] Understandably, the collected second vibration signal is processed to convert the electrical signal into a quantifiable vibration acceleration value, thus forming environmental vibration data.

[0097] Step S50: Based on the compressor noise data, compressor vibration data, environmental noise data, environmental vibration data, and the speed threshold to be avoided, perform data matching to obtain the target speed of the compressor.

[0098] It should be noted that data matching refers to the process of correlating and comparing compressor noise data and compressor vibration data with environmental noise data and environmental vibration data corresponding to different road surface and vehicle speed combinations, based on the logic that environmental noise and vibration are greater than or equal to compressor noise and vibration. At the same time, it is necessary to strictly avoid the speed threshold to be avoided.

[0099] Additionally, the target speed refers to the maximum allowable speed of the compressor calibrated after data matching. This speed can meet the air conditioning cooling requirements, ensure that the noise and vibration generated by the compressor do not exceed the environmental noise and vibration under the current operating conditions, and will not fall into the resonance range.

[0100] Understandably, based on the logic that environmental noise and vibration are greater than or equal to compressor noise and vibration, the compressor noise data, compressor vibration data and environmental data in the four-dimensional database are correlated and matched. Combined with the speed threshold to be avoided, the maximum allowable speed of the compressor is calibrated for each combination of road surface and vehicle speed. This maximum allowable speed is the target speed of the compressor.

[0101] In one feasible implementation, step S50 may include steps S51 to S54: Step S51: Determine whether the compressor noise data is greater than or equal to the ambient noise data; Understandably, the compressor noise data and environmental noise data corresponding to the current operating condition are extracted, and the compressor noise data value is compared with the environmental noise data value to determine whether the compressor noise data value is greater than or equal to the environmental noise data value.

[0102] Step S52: Determine whether the compressor vibration data is greater than or equal to the environmental vibration data; Understandably, the compressor vibration data and environmental vibration data corresponding to the current operating condition are extracted, and the value of the compressor vibration data is determined by comparing the data to determine whether the value of the environmental vibration data is greater than or equal to the value of the environmental vibration data.

[0103] Step S53: When the compressor noise data is greater than or equal to the ambient noise data and the compressor vibration data is greater than or equal to the ambient vibration data, determine the compressor speed range based on the compressor noise data and the compressor vibration data; It should be noted that the compressor speed range refers to the set of compressor speeds that simultaneously satisfy the conditions that the compressor noise data is greater than or equal to the environmental noise data and the compressor vibration data is greater than or equal to the environmental vibration data. This range must cover the effective operating range of the compressor and ensure that the compressor noise and vibration do not exceed the environmental noise level.

[0104] Understandably, when both the compressor noise data and the compressor vibration data are greater than or equal to the environmental noise data, the compressor speed range is formed by filtering out all speeds that meet the above conditions based on the correspondence between the collected compressor noise data, compressor vibration data and speed.

[0105] Step S54: Delete speed values ​​that are less than the speed threshold to be avoided within the compressor speed range to obtain the target speed of the compressor.

[0106] Understandably, the determined compressor speed range is compared with the speed threshold to be avoided, and speed values ​​within the range that are lower than the speed threshold to be avoided are deleted. The remaining speed is the target speed of the compressor.

[0107] This embodiment provides a method for calibrating the low-noise operating speed of a compressor. By employing techniques such as individual bench vibration and noise testing and resonance point identification, static and dynamic noise and vibration testing of the entire vehicle, data integration, and dynamic control logic calibration, it solves the technical problems of existing electric compressors in new energy vehicles, including prominent intervention and operating noise caused by resonance points, inability to dynamically adjust the speed according to the vehicle's environmental noise, and the impact of compressor intervention vibration on in-vehicle comfort. It achieves the beneficial effects of seamless compressor intervention and operation under all working conditions, precise avoidance of resonance risks, dynamic adaptation to different driving scenarios, high compatibility, and low cost.

[0108] Based on the first embodiment of this application, in the second embodiment of this application, the content that is the same as or similar to that in Embodiment 1 above can be referred to the above description, and will not be repeated hereafter. Based on this, please refer to... Figure 2 After step S50, the compressor low-noise operating speed calibration method further includes steps S60-S70: Step S60: Obtain a preset cooling speed and a preset resonance range, wherein the preset cooling speed is greater than the target speed of the compressor; It should be noted that the preset cooling speed is a higher operating speed of the compressor set for special scenarios with high cooling demand. This speed is higher than the target speed under normal operating conditions and can meet the rapid cooling needs under extreme conditions.

[0109] Additionally, the preset resonance range refers to the speed range of compressor vibration or noise exceeding the standard, that is, the set of speeds corresponding to vibration acceleration greater than or equal to 0.3 meters per second squared or noise value greater than or equal to 60 decibels. In this embodiment, it is specifically the range of 2800 rpm to 2900 rpm and 4500 rpm to 4600 rpm.

[0110] Understandably, the preset cooling speed, which is the higher speed that meets high cooling demand, and the preset resonance range, which is the speed range where the compressor vibration and noise exceed the standard, are determined in advance through preliminary testing and calibration. The preset cooling speed is greater than the target speed under normal operating conditions. These two parameters are then used for speed control under special operating conditions.

[0111] Step S70: When the compressor cooling demand is detected to be the target cooling demand, the compressor speed is controlled to increase to the preset cooling speed according to the preset resonance range in order to control the cooling noise.

[0112] It should be noted that the target cooling demand refers to a special scenario where the cooling demand inside the vehicle is high. In this embodiment, it specifically refers to a situation where the temperature inside the vehicle is greater than or equal to 35°C. In this case, the conventional target speed cannot meet the rapid cooling demand, and the compressor speed needs to be increased.

[0113] Additionally, refrigeration noise control refers to measures to reduce perceived noise and vibration through specific control strategies during the process of compressor speed increasing to the preset refrigeration speed. The core is to quickly pass through the preset resonance range and avoid prominent noise caused by resonance.

[0114] Understandably, the system monitors the vehicle's cooling demand in real time. When the cooling demand is determined to be the target cooling demand, i.e., the vehicle's interior temperature is greater than or equal to 35°C, the compressor speed is controlled to increase. When passing through the preset resonance range, the compressor speed changes rapidly at a rate of greater than or equal to 500 revolutions per minute per second, eventually increasing to the preset cooling speed to meet the cooling demand while controlling noise.

[0115] This embodiment provides a method for calibrating the low-noise operating speed of a compressor. By acquiring a preset cooling speed and a preset resonance range, and controlling the compressor to quickly pass through the resonance range to increase to the preset cooling speed when high cooling demand is detected, this method solves the technical problems in the prior art where the conventional target speed of the compressor cannot meet the rapid cooling demand in extreme high-temperature scenarios and where prominent noise is easily caused by resonance during the speed increase process. It achieves the beneficial effect of meeting the rapid cooling demand while effectively controlling noise and vibration perception in high cooling demand scenarios.

[0116] It should be noted that the above examples are only for understanding this application and do not constitute a limitation on the compressor low-noise operation speed calibration method of this application. Any simple modifications based on this technical concept are within the protection scope of this application.

[0117] This application also provides a compressor low-noise operating speed calibration device, please refer to... Figure 3 The compressor low-noise operating speed calibration device includes: The data acquisition module 10 is used to acquire rotational speed acceleration noise correlation data and determine the rotational speed threshold to be avoided based on the rotational speed acceleration noise correlation data; The working condition determination module 20 is used to determine whether the vehicle meets static conditions or dynamic driving conditions, wherein the vehicle under static conditions is in a stationary state, and the vehicle under dynamic driving conditions is in a driving state. The static calibration module 30 is used to determine compressor noise data and compressor vibration data when the vehicle meets the static conditions. The dynamic calibration module 40 is used to determine environmental noise data and environmental vibration data when the vehicle meets the dynamic driving conditions; The speed determination module 50 is used to perform data matching based on the compressor noise data, the compressor vibration data, the environmental noise data, the environmental vibration data, and the speed threshold to be avoided, to obtain the target speed of the compressor.

[0118] The compressor low-noise operating speed calibration device provided in this application, employing the compressor low-noise operating speed calibration method described in the above embodiments, can solve the technical problem that the noise and vibration generated during the intervention and operation of the electric compressor in new energy vehicles under different actual driving conditions are easily perceived by occupants, thus affecting the overall vehicle comfort. Compared with the prior art, the beneficial effects of the compressor low-noise operating speed calibration device provided in this application are the same as those of the compressor low-noise operating speed calibration method provided in the above embodiments, and other technical features in the compressor low-noise operating speed calibration device are the same as those disclosed in the methods of the above embodiments, and will not be repeated here.

[0119] In one embodiment, the static calibration module 30 is further configured to collect a first in-vehicle noise signal located at a preset noise collection position and a first vibration signal at a preset structural connection point when the vehicle meets the static conditions. The compressor noise data is determined based on the first in-vehicle noise signal; The compressor vibration data is determined based on the first vibration signal.

[0120] In one embodiment, the dynamic calibration module 40 is further configured to collect a second in-vehicle noise signal located at a preset noise collection position and a second vibration signal at a preset structural connection point when the vehicle meets the dynamic driving conditions; Environmental noise data is determined based on the second in-vehicle noise signal; Environmental vibration data are determined based on the second vibration signal.

[0121] In one embodiment, the operating condition determination module 20 is further configured to determine static environmental parameters and a preset rotational speed value based on static parameters, and to obtain current environmental parameters; When the current environmental parameters are the static environmental parameters and the compressor is running at the preset speed value, it is determined that the vehicle meets the static conditions; The preset road surface type and preset vehicle speed are determined based on dynamic parameters; The vehicle is controlled to travel under the preset road surface type and the preset vehicle speed conditions, and the compressor is kept in a non-operating state during the vehicle's travel. When the compressor is not in operation, the vehicle is determined to meet the dynamic driving conditions.

[0122] In one embodiment, the rotational speed determination module 50 is further configured to determine whether the compressor noise data is greater than or equal to the ambient noise data; Determine whether the compressor vibration data is greater than or equal to the environmental vibration data; When the compressor noise data is greater than or equal to the environmental noise data and the compressor vibration data is greater than or equal to the environmental vibration data, the compressor speed range is determined based on the compressor noise data and the compressor vibration data. Within the compressor speed range, speed values ​​lower than the speed threshold to be avoided are deleted to obtain the target speed of the compressor.

[0123] In one embodiment, the speed determination module 50 is further configured to obtain a preset cooling speed and a preset resonance range, wherein the preset cooling speed is greater than the target speed of the compressor; When the compressor cooling demand is detected to be the target cooling demand, the compressor speed is controlled to increase to the preset cooling speed according to the preset resonance range in order to control the cooling noise.

[0124] In one embodiment, the data acquisition module 10 is further configured to acquire preset single-unit test bench conditions, preset compressor speed range, and preset compressor speed step size; Under the preset single-unit test bench conditions, the compressor operation is controlled according to the preset compressor speed range and the preset compressor speed step size, and vibration acceleration data and noise data are collected during the compressor operation process; The corresponding compressor speed is determined based on the vibration acceleration data and the noise data; The vibration acceleration data, the noise data, and the compressor speed are correlated to obtain speed acceleration noise correlation data.

[0125] In one embodiment, the data acquisition module 10 is further configured to acquire a preset vibration acceleration threshold and a preset noise threshold; The rotational speed and acceleration noise correlation data are filtered and analyzed to obtain noise-reduced correlation data; When the noise reduction correlation data is greater than the preset vibration acceleration threshold and the preset noise threshold, the compressor resonance speed range is determined according to the speed corresponding to the noise reduction correlation data. The speed threshold to be avoided is determined based on the compressor's resonant speed range.

[0126] This application provides a compressor low-noise operating speed calibration device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the compressor low-noise operating speed calibration method in the above embodiment 1.

[0127] The following is for reference. Figure 4This document illustrates a structural schematic diagram of a compressor low-noise operating speed calibration device suitable for implementing embodiments of this application. The compressor low-noise operating speed calibration device in embodiments of this application may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Description), PMPs (Portable Media Players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 4 The compressor low-noise operating speed calibration device shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0128] like Figure 4 As shown, the compressor low-noise operating speed calibration device may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in ROM (Read Only Memory) 1002 or a program loaded from storage device 1003 into RAM (Random Access Memory) 1004. RAM 1004 also stores various programs and data required for the operation of the compressor low-noise operating speed calibration device. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via bus 1005. Input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to I / O interface 1006: input devices 1007 including, for example, touchscreens, touchpads, keyboards, mice, image sensors, microphones, accelerometers, gyroscopes, etc.; output devices 1008 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 1003 including, for example, magnetic tapes, hard disks, etc.; and communication devices 1009. Communication device 1009 allows the compressor low-noise operating speed calibration device to communicate wirelessly or wiredly with other devices to exchange data. Although compressor low-noise operating speed calibration devices with various systems are shown in the figure, it should be understood that it is not required to implement or possess all the systems shown. More or fewer systems can be implemented alternatively.

[0129] Specifically, according to the embodiments disclosed in this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device, or installed from storage device 1003, or installed from ROM 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of the embodiments disclosed in this application.

[0130] The compressor low-noise operating speed calibration device provided in this application, employing the compressor low-noise operating speed calibration method described in the above embodiments, can solve the technical problem that the noise and vibration generated during the intervention and operation of the electric compressor in new energy vehicles under different actual driving conditions are easily perceived by occupants, thus affecting the overall vehicle comfort. Compared with the prior art, the beneficial effects of the compressor low-noise operating speed calibration device provided in this application are the same as those of the compressor low-noise operating speed calibration method provided in the above embodiments, and other technical features of this compressor low-noise operating speed calibration device are the same as those disclosed in the previous embodiment method, and will not be repeated here.

[0131] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0132] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0133] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, the computer-readable program instructions being used to execute the compressor low-noise operation speed calibration method in the above embodiments.

[0134] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, RAM (Random Access Memory), ROM (Read Only Memory), Erasable Programmable Read Only Memory (EPROM), optical fiber, CD-ROM (CD-Read Only Memory), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0135] The aforementioned computer-readable storage medium may be included in the compressor low-noise operating speed calibration device; or it may exist independently and not be assembled into the compressor low-noise operating speed calibration device.

[0136] The aforementioned computer-readable storage medium carries one or more programs. When these programs are executed by the compressor low-noise operating speed calibration device, the compressor low-noise operating speed calibration device: acquires speed acceleration noise correlation data and determines the speed threshold to be avoided based on the speed acceleration noise correlation data; determines whether the vehicle meets static conditions or dynamic driving conditions, wherein a vehicle meeting static conditions is in a stationary state, and a vehicle meeting dynamic driving conditions is in a driving state; when the vehicle meets the static conditions, determines compressor noise data and compressor vibration data; when the vehicle meets the dynamic driving conditions, determines environmental noise data and environmental vibration data; and performs data matching based on the compressor noise data, compressor vibration data, environmental noise data, environmental vibration data, and the speed threshold to be avoided to obtain the target speed of the compressor.

[0137] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including LAN (Local Area Network) or WAN (Wide Area Network)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0138] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0139] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.

[0140] The readable storage medium provided in this application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., a computer program) for executing the above-described compressor low-noise operating speed calibration method. This addresses the technical problem that noise and vibration generated during the intervention and operation of the electric compressor in new energy vehicles under different actual driving conditions are easily perceived by occupants, thus affecting overall vehicle comfort. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the compressor low-noise operating speed calibration method provided in the above embodiments, and will not be elaborated upon here.

[0141] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the compressor low-noise operation speed calibration method described above.

[0142] The computer program product provided in this application can solve the technical problem that the noise and vibration generated during the intervention and operation of the electric compressor in new energy vehicles under different actual driving conditions are easily perceived by the occupants, thus affecting the overall vehicle comfort. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as those of the compressor low-noise operating speed calibration method provided in the above embodiments, and will not be repeated here.

[0143] The above description is only a part of the embodiments of this application and does not limit the patent scope of this application. All equivalent structural transformations made under the technical concept of this application and using the contents of the specification and drawings of this application, or direct / indirect applications in other related technical fields, are included in the patent protection scope of this application.

Claims

1. A method for calibrating the operating speed of a compressor for low-noise operation, characterized in that, The method includes: Obtain the speed acceleration noise correlation data, and determine the speed threshold to be avoided based on the speed acceleration noise correlation data; Determine whether the vehicle meets static or dynamic driving conditions. A vehicle that meets static conditions is in a stationary state, and a vehicle that meets dynamic driving conditions is in a driving state. When the vehicle meets the static conditions, determine the compressor noise data and compressor vibration data; When the vehicle meets the dynamic driving conditions, environmental noise data and environmental vibration data are determined. The target speed of the compressor is obtained by matching the compressor noise data, compressor vibration data, environmental noise data, environmental vibration data, and the speed threshold to be avoided.

2. The method as described in claim 1, characterized in that, The steps for determining compressor noise data and compressor vibration data when the vehicle meets the static conditions include: When the vehicle meets the static conditions, a first in-vehicle noise signal located at a preset noise collection position and a first vibration signal at a preset structural connection point are collected. The compressor noise data is determined based on the first in-vehicle noise signal; The compressor vibration data is determined based on the first vibration signal.

3. The method as described in claim 1, characterized in that, The step of determining environmental noise data and environmental vibration data when the vehicle meets the dynamic driving conditions includes: When the vehicle meets the dynamic driving conditions, a second in-vehicle noise signal located at a preset noise collection position and a second vibration signal at a preset structural connection point are collected. Environmental noise data is determined based on the second in-vehicle noise signal; Environmental vibration data are determined based on the second vibration signal.

4. The method as described in claim 1, characterized in that, The steps for determining whether the vehicle meets static or dynamic driving conditions include: Determine the static environmental parameters and preset rotational speed value based on the static parameters, and obtain the current environmental parameters; When the current environmental parameters are the static environmental parameters and the compressor is running at the preset speed value, it is determined that the vehicle meets the static conditions; The preset road surface type and preset vehicle speed are determined based on dynamic parameters; The vehicle is controlled to travel under the preset road surface type and the preset vehicle speed conditions, and the compressor is kept in a non-operating state during the vehicle's travel. When the compressor is not in operation, the vehicle is determined to meet the dynamic driving conditions.

5. The method as described in claim 1, characterized in that, The step of matching the compressor noise data, compressor vibration data, environmental noise data, environmental vibration data, and the speed threshold to be avoided to obtain the target speed of the compressor includes: Determine whether the compressor noise data is greater than or equal to the ambient noise data; Determine whether the compressor vibration data is greater than or equal to the environmental vibration data; When the compressor noise data is greater than or equal to the environmental noise data and the compressor vibration data is greater than or equal to the environmental vibration data, the compressor speed range is determined based on the compressor noise data and the compressor vibration data. Within the compressor speed range, speed values ​​lower than the speed threshold to be avoided are deleted to obtain the target speed of the compressor.

6. The method as described in claim 1, characterized in that, After the step of matching the compressor noise data, compressor vibration data, environmental noise data, environmental vibration data, and the speed threshold to be avoided to obtain the target speed of the compressor, the method further includes: Obtain a preset cooling speed and a preset resonance range, wherein the preset cooling speed is greater than the target speed of the compressor; When the compressor cooling demand is detected to be the target cooling demand, the compressor speed is controlled to increase to the preset cooling speed according to the preset resonance range in order to control the cooling noise.

7. The method as described in claim 1, characterized in that, The steps for obtaining rotational speed, acceleration, and noise correlation data include: Obtain preset unit test bench conditions, preset compressor speed range, and preset compressor speed step size; Under the preset single-unit test bench conditions, the compressor operation is controlled according to the preset compressor speed range and the preset compressor speed step size, and vibration acceleration data and noise data are collected during the compressor operation process; The corresponding compressor speed is determined based on the vibration acceleration data and the noise data; The vibration acceleration data, the noise data, and the compressor speed are correlated to obtain speed acceleration noise correlation data.

8. The method as described in claim 1, characterized in that, The steps for determining the speed threshold to be avoided based on speed-acceleration-noise correlation data include: Obtain the preset vibration acceleration threshold and preset noise threshold; The rotational speed and acceleration noise correlation data are filtered and analyzed to obtain noise-reduced correlation data; When the noise reduction correlation data is greater than the preset vibration acceleration threshold and the preset noise threshold, the compressor resonance speed range is determined according to the speed corresponding to the noise reduction correlation data. The speed threshold to be avoided is determined based on the compressor's resonant speed range.

9. A compressor low-noise operating speed calibration device, characterized in that, The device includes: The data acquisition module is used to acquire rotational speed acceleration noise correlation data and determine the rotational speed threshold to be avoided based on the rotational speed acceleration noise correlation data; The operating condition determination module is used to determine whether the vehicle meets static conditions or dynamic driving conditions, wherein the vehicle under static conditions is in a stationary state, and the vehicle under dynamic driving conditions is in a driving state. The static calibration module is used to determine compressor noise data and compressor vibration data when the vehicle meets the static conditions. The dynamic calibration module is used to determine environmental noise data and environmental vibration data when the vehicle meets the dynamic driving conditions; The speed determination module is used to perform data matching based on the compressor noise data, the compressor vibration data, the environmental noise data, the environmental vibration data, and the speed threshold to be avoided, to obtain the target speed of the compressor.

10. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, it implements the steps of the compressor low-noise operating speed calibration method as described in any one of claims 1 to 7.

Images