Noise reduction method, device and equipment for thermal management system, storage medium and vehicle

Abstract

The invention provides a noise reduction method, device and equipment for a thermal management system, a storage medium and a vehicle. The method comprises the following steps: obtaining assembly operation parameters related to noise in the operation process of a fluid mechanical assembly in the thermal management system; the assembly operation parameters comprise pressure pulsation signals; determining a component noise parameter of the turbomachine component based on the component operating parameter; environment noise signals are collected, and environment noise parameters corresponding to the environment noise signals are determined according to the environment noise signals; generating a noise reduction signal according to the component noise parameter and the environment noise parameter; and noise generated by the fluid mechanical assembly is subjected to noise reduction processing based on the noise reduction signal. According to the embodiment of the invention, by considering the noise influence of the pressure pulsation signal on the fluid mechanical component, the component noise parameter is determined based on the component operation parameter containing the pressure pulsation signal, and then the noise reduction information is generated, so that active noise reduction of low and medium frequency noise generated by the fluid mechanical component of the thermal management system is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of active noise reduction technology, in particular, relates to a noise reduction method and device of a thermal management system, equipment, storage medium and vehicle. BACKGROUND

[0002] Car ride comfort is one of the important indicators affecting the performance of the whole vehicle, and the control of the noise in the vehicle is an important way to improve the brand effect of the car. During driving, the main noise source in the vehicle is the engine noise, therefore, there are many methods for reducing engine noise at present.

[0003] However, with the rapid development of the automobile industry, the performance and efficiency requirements of vehicles are constantly improving, and the thermal management system is a key component to ensure the normal operation and efficient work of the vehicle. Therefore, while improving the performance of the vehicle, the noise problem caused by the thermal management system is increasingly prominent. The current noise reduction method for the thermal management system has the problem of poor noise reduction effect. SUMMARY

[0004] The purpose of the embodiments of the present application is to provide a noise reduction method, device, equipment, storage medium and vehicle of a thermal management system, for reducing the noise generated by the thermal management system.

[0005] In a first aspect, the embodiments of the present application provide a noise reduction method of a thermal management system, comprising:

[0006] Obtaining a component operation parameter related to noise of a fluid mechanical component in the thermal management system during operation; the component operation parameter includes a pressure pulsation signal;

[0007] Determining a component noise parameter of the fluid mechanical component based on the component operation parameter;

[0008] Collecting an environmental noise signal, and determining an environmental noise parameter corresponding to the environmental noise signal according to the environmental noise signal;

[0009] Generating a noise reduction signal according to the component noise parameter and the environmental noise parameter;

[0010] Performing noise reduction processing on the noise generated by the fluid mechanical component based on the noise reduction signal.

[0011] The embodiments of the present application take into account the influence of the pressure pulsation signal on the noise generated by the fluid mechanical component, therefore, the component noise parameter is determined based on the component operation parameter containing the pressure pulsation signal, and then the noise reduction information is generated, thereby achieving active noise reduction of the medium and low frequency noise generated by the fluid mechanical component of the thermal management system.

[0012] In any embodiment, determining the noise parameter of the fluid mechanical component based on the component operation parameter comprises:

[0013] The component operation parameter is compared with noise data in a noise library to determine noise parameters; wherein the noise parameters include noise frequency and noise amplitude; the noise library includes noise data under multiple operation conditions; the noise data includes the component operation parameter, noise frequency and noise amplitude under the operation condition.

[0014] The embodiment of the present application can quickly obtain noise parameters by comparing the component operation parameter and the pressure pulsation signal with noise data in a noise library.

[0015] In any embodiment, the component operation parameter further includes a component working parameter; determining the noise parameters of the fluid mechanical component based on the component operation parameter and the pressure pulsation signal includes:

[0016] spectrum analysis is performed on the component working parameter and the pressure pulsation signal to generate a spectrum graph;

[0017] the noise parameters of the fluid mechanical component are obtained based on the spectrum graph.

[0018] The embodiment of the present application generates a spectrum graph by performing spectrum analysis on the component working parameter and the pressure pulsation signal, and then obtains the noise parameters of the fluid mechanical component by using the spectrum graph, thereby improving the accuracy of obtaining the noise parameters.

[0019] In any embodiment, the component operation parameter further includes a rotation speed signal and an acceleration signal of the fluid mechanical component; determining the noise parameters of the fluid mechanical component based on the component operation parameter includes:

[0020] determining the noise frequency based on the rotation speed signal;

[0021] determining the noise amplitude corresponding to the noise frequency based on the acceleration signal and the pressure pulsation signal;

[0022] determining the noise parameters based on the noise frequency and the noise amplitude.

[0023] The embodiment of the present application determines the noise parameters by analyzing the rotation speed signal, the acceleration signal and the pressure pulsation signal, thereby improving the accuracy of determining the noise parameters.

[0024] In any embodiment, the component noise parameters include noise amplitude; the environmental noise parameters include environmental noise phase; generating a noise reduction signal based on the noise parameters and the environmental noise parameters includes:

[0025] determining a noise reduction amplitude based on the noise amplitude; wherein the difference between the noise reduction amplitude and the noise amplitude is less than a preset amplitude threshold;

[0026] determining a noise reduction phase based on the environmental noise phase; wherein the difference between the anti-phase value corresponding to the noise reduction phase and the environmental noise phase is less than a preset phase threshold;

[0027] generate the noise reduction signal according to the noise reduction amplitude and the noise reduction phase.

[0028] The embodiment of the present application can better reduce the noise of the fluid mechanical assembly by generating the noise reduction signal, in which the noise reduction amplitude is approximately equal to the noise amplitude, and the noise reduction phase is approximately opposite to the phase of the ambient noise.

[0029] In any embodiment, before obtaining the component operating parameter related to the noise of the fluid mechanical assembly during operation of the thermal management system, the method further comprises:

[0030] collecting the component operating parameter related to the noise of each component during operation of the thermal management system;

[0031] comparing the component operating parameter of each component with the corresponding parameter threshold value;

[0032] determining the component corresponding to the component operating parameter that exceeds the parameter threshold value the most as the fluid mechanical assembly.

[0033] The embodiment of the present application can better reduce the noise of the fluid mechanical assembly by monitoring the component operating parameter related to the noise of each component during operation of the thermal management system, and determining the main component that generates the noise.

[0034] In any embodiment, the noise reduction signal is generated according to the component noise parameter and the ambient noise parameter, comprising:

[0035] inputting the component noise parameter and the ambient noise parameter into a noise prediction model to obtain a predicted noise signal output by the noise prediction model; wherein the noise prediction model is obtained by training based on historical noise signals as model inputs and noise signals at future time as labels;

[0036] generating the noise reduction signal based on the predicted noise signal.

[0037] The embodiment of the present application improves the timeliness of noise reduction by predicting the noise signal to be generated by using the noise prediction model and generating the noise reduction signal in time.

[0038] In any embodiment, the noise reduction signal is generated according to the component noise parameter and the ambient noise parameter, comprising:

[0039] inputting the component noise parameter and the ambient noise parameter as input signals into an adaptive filter;

[0040] calculating the error between the input signal and an expected signal through the adaptive filter, and adjusting the filter coefficient based on the error to obtain an output signal corresponding to the minimized error signal; the expected signal is a preset mute signal;

[0041] The output signal is taken as a noise reduction signal.

[0042] Embodiments of the present application generate a noise reduction signal by using an adaptive filter, and continuously adjust filter parameters by the adaptive filter, so that the output signal is as close as possible to the desired quiet environment.

[0043] In a second aspect, embodiments of the present application provide a noise reduction device of a thermal management system, comprising:

[0044] A data obtaining module is configured to obtain a component operating parameter related to noise of a fluid machinery component in a thermal management system during operation; the component operating parameter comprises a pressure pulsation signal;

[0045] A noise parameter determining module is configured to determine a component noise parameter of the fluid machinery component based on the component operating parameter;

[0046] A noise phase determining module is configured to collect an environmental noise signal, and determine an environmental noise parameter corresponding to the environmental noise signal according to the environmental noise signal;

[0047] A noise reduction signal generating module is configured to generate a noise reduction signal according to the component noise parameter and the environmental noise parameter;

[0048] A noise reduction module is configured to perform noise reduction processing on noise generated by the fluid machinery component based on the noise reduction signal.

[0049] In a third aspect, embodiments of the present application provide an electronic device, comprising a processor, a memory and a bus, wherein:

[0050] The processor and the memory complete mutual communication through the bus;

[0051] The memory stores program instructions executable by the processor, and the processor calling the program instructions can execute the method of the first aspect.

[0052] In a fourth aspect, embodiments of the present application provide a non-transitory computer readable storage medium, comprising:

[0053] The non-transitory computer readable storage medium stores computer instructions, and the computer instructions make the computer execute the method of the first aspect.

[0054] In a fifth aspect, embodiments of the present application provide a computer program product, comprising computer program instructions, which are read and run by a processor, and execute the method of the first aspect.

[0055] In a sixth aspect, embodiments of the present application provide a vehicle, comprising a thermal management system and a noise reduction device of the thermal management system, and the noise reduction device is configured to execute the method of the first aspect.

[0056] Other features and advantages of the present application will be set forth in the following description, and in part will be apparent from the description, or can be learned by practice of the application. The objects and other advantages of the present application will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings. BRIEF DESCRIPTION OF DRAWINGS

[0057] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly introduced as follows. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as a limitation on the scope, and for those skilled in the art, other related drawings can also be obtained without creative labor on the basis of these drawings.

[0058] Figure 1 A flowchart of a noise reduction method of a thermal management system provided by the embodiments of the present application;

[0059] Figure 2 A principle diagram of noise reduction of a thermal management system provided by the embodiments of the present application;

[0060] Figure 3 A flowchart of a noise reduction method of a compressor provided by the embodiments of the present application;

[0061] Figure 4 A structural diagram of a noise reduction device of a thermal management system provided by the embodiments of the present application;

[0062] Figure 5 An electronic device physical structure diagram provided by the embodiments of the present application. DETAILED DESCRIPTION

[0063] The embodiments of the technical solutions of the present application will be described in detail below with reference to the drawings. The following embodiments are only used to more clearly illustrate the technical solutions of the present application, and therefore only serve as examples, and cannot limit the protection scope of the present application.

[0064] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application belongs; the terms used herein are only for the purpose of describing specific embodiments, and are not intended to limit the present application; the terms "include" and "have" and any variations thereof in the specification and claims of the present application and the above description of drawings are intended to cover non-exclusive inclusion.

[0065] In the description of the embodiments of the present application, the technical terms "first", "second" and the like are only used to distinguish different objects, and cannot be understood as indicating or implying relative importance or implicitly indicating the number, specific order or primary and secondary relationship of the indicated technical features. In the description of the embodiments of the present application, the meaning of "multiple" is more than two, unless otherwise explicitly and specifically limited.

[0066] Reference to "embodiments" herein means that the specific features, structures or properties described in conjunction with the embodiments can be included in at least one embodiment of the present application. The appearance of this phrase at various places in the specification does not necessarily mean the same embodiment, nor is it an independent or alternative embodiment to other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0067] In the description of the embodiments of the present application, the term "and / or" is only a description of the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B, which can mean that A exists alone, A and B exist together, and B exists alone. In addition, the character " / " herein generally represents an "or" relationship between the associated objects before and after it.

[0068] In the description of the embodiments of the present application, the term "multiple" refers to more than two (including two), and similarly, "multiple groups" refers to more than two groups (including two groups), and "multiple pieces" refers to more than two pieces (including two pieces).

[0069] In the description of the embodiments of the present application, unless otherwise explicitly specified and limited, the technical terms "mounting", "connection", "connection", "fixing" and the like should be understood in a broad sense, for example, it can be fixedly connected, or it can be detachably connected, or it can be integrated; it can be mechanical connection, or it can be electrical connection; it can be directly connected, or it can be indirectly connected through an intermediate medium; it can be the internal communication of two elements or the interaction relationship between two elements. For those skilled in the art, the specific meaning of the above terms in the embodiments of the present application can be understood according to the specific circumstances.

[0070] The conventional automobile noise reduction measures are often achieved by optimizing the engine body noise, improving the overall vehicle sound absorption and insulation performance, and attenuating the chassis vibration, etc. These are all passive noise reduction methods, and the degree of noise reduction is limited, which cannot meet the high demand of customers. Active noise reduction technology refers to generating a signal near the human ear that is equal in size and opposite in direction to the noise signal at that location, so that it and the noise signal cancel each other out, achieving the purpose of noise reduction.

[0071] Currently, for vehicles with air conditioning systems, the compressor is the main noise source of the air conditioning system. For traditional fuel engines, the main noise source is the engine, and the compressor is driven by the engine through the belt wheel, so the noise in the vehicle caused by the compressor itself will be covered by the noise of the engine, so that the passengers in the vehicle will not obviously feel the noise of the compressor. Unlike fuel vehicles, new energy vehicles (such as electric vehicles) use electric compressors. As an independent noise source, the electric compressor has a high speed and brings obvious noise problems in the vehicle in summer due to the almost full coverage of the air conditioning system and the large cooling demand during the use of the vehicle. In addition, in addition to the compressor, the heat management system in the vehicle also includes a heat pump, a cooling module, etc., and these components will generate noise during operation. Therefore, denoising the heat management system in the vehicle has become one of the keys to improving the riding experience.

[0072] Based on this, the embodiments of the present application provide a heat management system noise reduction method, device, equipment, storage medium and vehicle. By collecting the operating parameters and pressure pulsation signals of the fluid mechanical components in the heat management system, as well as the environmental noise signals, the collected information is analyzed to generate corresponding noise reduction signals. Active noise reduction of the noise generated by the heat management system is achieved.

[0073] It should be noted that the execution subject of the heat management system noise reduction method in the embodiments of the present application can be a noise reduction module, which can be arranged on the vehicle machine or separately arranged.

[0074] Figure 1 A flowchart of a heat management system noise reduction method provided by the embodiments of the present application is shown in Figure 1 As shown in the figure, the method comprises:

[0075] Step 101: Obtain the noise-related component operating parameters of the fluid mechanical components in the heat management system during operation; the component operating parameters include pressure pulsation signals;

[0076] Step 102: Determine the component noise parameters of the fluid mechanical components based on the component operating parameters;

[0077] Step 103: Collect the environmental noise signals, and determine the environmental noise parameters corresponding to the environmental noise signals according to the environmental noise signals;

[0078] Step 104: Generate a noise reduction signal according to the component noise parameters and the environmental noise parameters;

[0079] Step 105: Perform noise reduction processing on the noise generated by the fluid mechanical components based on the noise reduction signal.

[0080] In the specific implementation process, the thermal management system is mainly used for cooling and temperature control, ensuring that the vehicle can operate safely and effectively under various working conditions. The system works through the cooperation of multiple components and heat transfer fluids to meet the vehicle's cooling and temperature control requirements. The thermal management system includes but is not limited to compressors, heat pumps, cooling modules, and heating, ventilation, and air conditioning (HVAC) systems.

[0081] The fluid mechanical component is a mechanical part involved in the movement of fluid (liquid or gas) in the thermal management system, and the movement of fluid includes the transportation, compression, regulation, and exchange of fluid. Among them, the fluid mechanical component includes but is not limited to: pumps, compressors, expansion valves, piping systems, heat exchangers, valves, cooling fans, engines, pneumatic actuators, and hydraulic actuators.

[0082] Different components have different noise-related component operating parameters during operation. Taking the compressor as an example, the compressor speed is closely related to the noise generated by the compressor, so the compressor speed can be one of the noise-related component operating parameters. Moreover, the compressor speed can be measured by a compressor speed sensor. Such a sensor is usually installed above or beside the compressor and can monitor the rotation of the compressor in real time and obtain the speed information. The principle of the compressor speed sensor is mainly based on the Hall electric field effect or the magnetoresistance electric field effect. The speed of the rotating disc is detected by the change of the magnetic field and the Hall potential generator inside the sensor, and the speed signal is transmitted out. In addition, the acceleration signal near the compressor can also be collected by an acceleration sensor, and the acceleration signal is also a key signal that affects the noise generated by the compressor. Therefore, the compressor speed and the acceleration signal can both be used as noise-related component operating parameters, or any one of the compressor speed and the acceleration signal can be used as a noise-related component operating parameter.

[0083] The pressure pulsation signal can also be one of the component operating parameters, which reflects the change of the internal pressure of the compressor, and the change of the internal pressure of the compressor is directly related to the generation of noise. By analyzing the pressure pulsation signal, the accurate amplitude of the noise signal can be determined. In the active noise reduction process, the pressure pulsation signal can be used as one of the bases for generating the noise reduction signal. It can be obtained by a pressure pulsation sensor, which can be placed inside the thermal management system, such as near the compressor. The pressure pulsation sensor sends the collected pressure pulsation signal to the noise reduction module. In addition, the component operating parameters can also include but are not limited to vibration signals, fluid flow rates, etc. Moreover, different components have different component operating parameters.

[0084] The noise reduction module can be connected with the related sensor to receive the component operation parameters and the pressure pulsation signal collected by the sensor. The component noise parameters of the fluid mechanical component are determined based on the component operation parameters and the pressure pulsation signal. It can be understood that the component noise parameters refer to the related parameters of the noise generated by the fluid mechanical component during operation. The noise parameters can include noise order, noise amplitude and noise frequency, etc.

[0085] The environmental noise signal can be the noise signal in the environment collected by a microphone or other sound collection device. Since the main purpose of the embodiment of the present application is to improve the riding experience of passengers in the vehicle, the environmental noise signal can be the noise signal collected near the human ear. After the environmental noise signal is collected, Fourier transform can be performed on the environmental noise signal to convert the time domain signal into a frequency domain signal, thereby obtaining the environmental noise parameters corresponding to the noise signal, such as the environmental noise phase. In addition, other methods can also be used to extract the environmental noise parameters, for example: a digital signal processing method can be used to process the environmental noise signal using a digital filter, or a digital frequency synthesizer method can be used to estimate the environmental noise parameters of the environmental noise signal. Special signal processing software or analysis tools can also be used to analyze the environmental noise parameters of the environmental noise signal.

[0086] After obtaining the component noise parameters and the environmental noise parameters, the noise reduction signal can be generated accordingly. After the noise reduction signal is generated, the sound corresponding to the noise reduction signal can be played through a loudspeaker or other sound playing device. Therefore, the noise reduction signal can offset the noise generated by the fluid mechanical component to a certain extent, thereby achieving active noise reduction.

[0087] The embodiment of the present application considers the influence of the pressure pulsation signal on the noise generated by the fluid mechanical component. Therefore, the component noise parameters are determined based on the component operation parameters containing the pressure pulsation signal, and the noise reduction information is generated, thereby achieving active noise reduction of the medium and low frequency noise generated by the fluid mechanical component of the thermal management system.

[0088] Based on the above embodiment, the noise parameters of the fluid mechanical component are determined based on the component operation parameters, which includes:

[0089] The component operation parameters are compared with the noise data in the noise library to determine the noise parameters. The noise parameters include noise frequency and noise amplitude. The noise library includes noise data under multiple operating conditions. The noise data includes component operation parameters, noise frequency and noise amplitude under the operating condition.

[0090] In the specific implementation process, a noise library can be generated in advance, and the noise library stores component operating parameters, noise frequencies and noise amplitudes of each component in the thermal management system under various working conditions. Therefore, after obtaining the component operating parameters of the fluid mechanical component, the noise data in the noise library can be matched with the component operating parameters of the fluid mechanical component to determine the noise frequency and noise amplitude corresponding to the fluid mechanical component under the component operating parameters.

[0091] The embodiment of the present application can quickly obtain the noise parameters by comparing the component operating parameters with the noise data in the noise library.

[0092] On the basis of the above embodiment, the component operating parameters further include component working parameters; and the noise parameters of the fluid mechanical component are determined based on the component working parameters and the pressure pulsation signal, including:

[0093] The component operating parameters and the pressure pulsation signal are subjected to frequency spectrum analysis to generate a frequency spectrum graph;

[0094] The noise parameters of the fluid mechanical component are obtained based on the analysis of the frequency spectrum graph.

[0095] In the specific implementation process, the component working parameters refer to the parameters of the component itself during the working process, such as the rotating speed of the compressor, acceleration, etc. The pressure pulsation signal belongs to the pressure signal in the environment caused by the component during the working process. The frequency spectrum analysis software (such as FFT analysis software) can be used to perform frequency spectrum analysis on the pressure pulsation signal to generate a frequency spectrum graph. The frequency spectrum graph shows the amplitude of each frequency component in the signal.

[0096] Taking a rotary compressor as an example, the fundamental frequency (i.e., the main noise frequency) is usually related to the rotating speed and the number of compressor cylinders. The formula f i =nzi / 60 can be used to calculate the fundamental frequency, where f i is the fundamental frequency, n is the rotating speed of the compressor, z is the number of cylinders, and i is the harmonic order number.

[0097] After the fundamental frequency (i.e., the noise frequency) is determined, the amplitude corresponding to the fundamental frequency in the frequency spectrum graph, i.e., the noise amplitude, can be determined according to the fundamental frequency.

[0098] The embodiment of the present application generates a frequency spectrum graph by performing frequency spectrum analysis on the component working parameters and the pressure pulsation signal, and then obtains the noise parameters of the fluid mechanical component by using the frequency spectrum graph, thereby improving the accuracy of obtaining the noise parameters.

[0099] On the basis of the above embodiment, the component operating parameters further include the rotating speed signal and the acceleration signal of the fluid mechanical component, and the noise parameters of the fluid mechanical component are determined based on the component operating parameters, including:

[0100] The noise frequency is determined based on the rotating speed signal;

[0101] determining a noise amplitude corresponding to the noise frequency based on the acceleration signal and the pressure pulsation signal;

[0102] determining a noise parameter based on the noise frequency and the noise amplitude.

[0103] In the specific implementation process, the component operating parameter can further include the rotating speed, acceleration and the like of the fluid mechanical component. Taking the rotating speed of the compressor as an example, the rotating speed of the compressor is directly related to the vibration frequency of the internal mechanical parts thereof. For example, if the rotating speed of the rotor of the compressor increases, the vibration frequency of the internal parts thereof will also increase accordingly. Therefore, by monitoring the rotating speed of the compressor, the main frequency component of the noise can be predicted. In the active noise reduction generation, the frequency of the generated noise reduction signal can be adjusted according to the information, so that the noise reduction signal synchronized with the noise signal frequency is generated, thereby realizing effective noise reduction.

[0104] The acceleration sensor is generally used to measure the intensity of the vibration of the component, and the vibration intensity is related to the loudness of the noise. If the acceleration signal shows strong vibration, it indicates that the noise level is high. In the active noise reduction process, the noise amplitude corresponding to the noise frequency can be determined based on the acceleration signal in combination with the pressure pulsation signal, and then the amplitude of the noise reduction signal is adjusted based on the noise amplitude, thereby improving the effect of noise reduction.

[0105] Therefore, the noise parameter can include the noise frequency and the noise amplitude. After the noise frequency and the noise amplitude are determined, the noise parameter is obtained.

[0106] The embodiments of the present application determine the noise parameter by analyzing the rotating speed signal, the acceleration signal and the pressure pulsation signal, thereby improving the accuracy of the determination of the noise parameter.

[0107] On the basis of the above-mentioned embodiments, the component noise parameter includes the noise amplitude; the environmental noise parameter includes an environmental noise phase; and the noise reduction signal is generated according to the component noise parameter and the environmental noise parameter, including:

[0108] determining a noise reduction amplitude according to the noise amplitude; wherein the difference between the noise reduction amplitude and the noise amplitude is less than a preset amplitude threshold value;

[0109] determining a noise reduction phase according to the environmental noise phase; wherein the difference between the inverse value of the noise reduction phase and the environmental noise phase is less than a preset phase threshold value;

[0110] generating the noise reduction signal according to the noise reduction amplitude and the noise reduction phase.

[0111] In the specific implementation process, after obtaining the noise amplitude and the ambient noise phase, the noise reduction amplitude is determined according to the noise amplitude, that is, the difference between the determined noise reduction amplitude and the noise amplitude is less than a preset amplitude threshold. For example, the noise reduction amplitude can be equal to the noise amplitude, or approximately equal to the noise amplitude.

[0112] Similarly, the difference between the determined noise reduction phase opposite value and the ambient noise phase is less than a preset phase threshold, that is, the noise reduction phase is opposite or approximately opposite to the ambient noise phase.

[0113] After the noise reduction amplitude and the noise reduction phase are determined, the corresponding noise reduction signal is generated.

[0114] In the generated noise reduction signal, the noise reduction amplitude is approximately equal to the noise amplitude, and the noise reduction phase is approximately opposite to the ambient noise phase, so that the noise of the fluid mechanical component can be better reduced.

[0115] On the basis of the above-mentioned embodiments, before obtaining the component operating parameter related to noise of the fluid mechanical component in the thermal management system during operation, the method further comprises:

[0116] Collecting the component operating parameter related to noise of each component in the thermal management system during operation;

[0117] Comparing the component operating parameter of each component with the corresponding parameter threshold;

[0118] Determining the component corresponding to the component operating parameter that exceeds the largest parameter threshold as the fluid mechanical component.

[0119] In the specific implementation process, each component of the thermal management system may exist in a simultaneous operation condition, and therefore, multiple components will emit noise at the same time. For the case of canceling the noise generated by a certain component, a main component can be determined from multiple components that generate noise, and the main component is a component that mainly generates noise, that is, the fluid mechanical component in the present application.

[0120] In the process of determining the fluid mechanical component from multiple components, the component operating parameter related to noise of each component during operation can be collected. Taking a compressor as an example, the rotation speed of the compressor can be collected, and the faster the rotation speed of the compressor, the greater the noise generated. Therefore, each component has a component operating parameter corresponding to the noise size. The parameter threshold is a pre-set value, which is used to represent the value range of the component operating parameter corresponding to the normal size of noise generated by the component. If the parameter threshold is exceeded by many, it means that the noise generated by the component is large. Therefore, the component operating parameter of each component can be compared with the corresponding parameter threshold, and the component corresponding to the component operating parameter that exceeds the largest parameter threshold is determined as the fluid mechanical component.

[0121] It should be noted that different component operating parameters have different corresponding parameter thresholds, in order to be able to compare under the same range, the percentage of the component operating parameter exceeding the corresponding parameter threshold can be calculated, and the component with the largest percentage is determined as the fluid mechanical component.

[0122] The embodiment of the application determines the main component of noise by monitoring the noise-related component operating parameters of the plurality of components in the thermal management system during operation, thereby targetedly reducing noise and improving the noise reduction effect.

[0123] On the basis of the above embodiment, the noise reduction signal is generated according to the component noise parameter and the environmental noise parameter, comprising:

[0124] The component noise parameter and the environmental noise parameter are input into the noise prediction model to obtain a predicted noise signal output by the noise prediction model; wherein the noise prediction model is obtained by training based on historical noise signals as model inputs and noise signals at future time as labels;

[0125] The noise reduction signal is generated based on the predicted noise signal.

[0126] In the specific implementation process, the noise prediction model can be constructed and trained in advance, the future trend of noise is predicted by real-time acquisition and analysis of noise signals, and an anti-phase sound wave with opposite phase and similar amplitude to the predicted noise waveform is generated, thereby realizing active control of noise.

[0127] The noise prediction model can be a linear prediction model, a neural network prediction model, etc. In the training process, historical noise data (including historical component noise parameters and historical environmental noise parameters) of the fluid mechanical component of the thermal management system in a historical time period can be collected, the historical noise data in the historical time period is used as the input of the model, and noise data in a future time period opposite to the historical time period is used as the label for model training, so as to obtain the trained noise prediction model.

[0128] In the application process, the component noise parameter and the environmental noise parameter collected at the current time are input into the noise prediction model to obtain a predicted noise signal output by the noise prediction model. According to the waveform of the generated predicted noise signal, an anti-phase sound wave signal with opposite phase and similar amplitude, i.e. a noise reduction signal, is generated. The generated noise reduction signal is played out through a loudspeaker or a silencer or the like, so as to offset the noise generated by the fluid mechanical component as much as possible.

[0129] The embodiment of the application predicts the noise signal to be generated by using the noise prediction model, and generates the noise reduction signal in time, thereby improving the timeliness of noise reduction.

[0130] On the basis of the above-mentioned embodiments, the noise reduction signal is generated according to the component noise parameter and the environmental noise parameter, comprising:

[0131] The component noise parameter and the environmental noise parameter are input as input signals into the adaptive filter;

[0132] The error between the input signal and the expected signal is calculated through the adaptive filter, and the filter coefficient is adjusted based on the error to obtain an output signal corresponding to the minimized error signal; the expected signal is a preset mute signal;

[0133] The output signal is taken as the noise reduction signal.

[0134] In the specific implementation process, an adaptive filter is designed in advance, for example, a least mean square LMS filter or a recursive least square RLS filter. According to the noise characteristics and performance requirements of the fluid mechanical component, the initial parameters of the adaptive filter are set, such as the filter order, the step size, etc.

[0135] The component noise parameter and the environmental noise parameter are input as input signals into the adaptive filter, and the adaptive filter automatically adjusts the coefficient in the adaptive filter according to the error between the input signal and the expected signal, so as to minimize the mean square value of the error signal. The output signal when the mean square value of the error signal reaches the minimum is taken as the noise reduction signal. In this process, the adaptive filter continuously learns and adapts to the change of the noise signal, thereby realizing active noise reduction.

[0136] It should be noted that the adaptive filter can also be updated and optimized. Specifically, the parameters of the adaptive filter can be updated and optimized in real time according to the changes of the vehicle state, the environmental temperature and other factors. For example, when the vehicle accelerates, the compressor noise may increase, at which time the bandwidth of the adaptive filter can be increased or the coefficient of the adaptive filter can be adjusted to enhance the noise reduction effect. According to the change of the environmental temperature, the parameters of the filter are adjusted to adapt to different noise environments. For example, in a high-temperature environment, the compressor noise may change, at which time the frequency response of the filter can be adjusted or additional noise cancellation strategies can be added.

[0137] The adaptive filter is used to generate the noise reduction signal in the embodiments of the present application, and the filter parameters are continuously adjusted through the adaptive filter, so that the output signal is as close as possible to the expected quiet environment.

[0138] Figure 2 A schematic diagram of the noise reduction principle of the thermal management system provided by the embodiments of the present application is as follows: Figure 2As shown. Taking a compressor as an example, the compressor speed signal, or acceleration signal near the compressor, and pressure pulsation signal are extracted via the CAN bus. The collected signals are sent to the DSP, which runs a noise reduction algorithm. Ambient noise signals are collected via the microphone on the vehicle's infotainment system and sent to the DSP in the noise reduction device via the vehicle's audio bus A2B. The DSP generates a noise reduction signal based on the received compressor speed or acceleration signal, pressure pulsation signal, and ambient noise signal. The generated noise reduction signal is returned to the vehicle's infotainment system and sent to the speakers via the vehicle's AMP connector. The speakers then emit the noise-reduced sound to cancel out the noise generated by the compressor.

[0139] It should be noted that the methods for generating noise-reduced signals in the DSP can be found in the above embodiments, and will not be repeated here.

[0140] Figure 3 This is a schematic flowchart of a noise reduction method using a compressor as an example, provided in an embodiment of this application. Figure 3 As shown, it includes:

[0141] By extracting compressor speed signals from the CAN system or collecting acceleration signals near the compressor from sensors, and combining these with collected pressure pulsation signals, and comparing them with an operating noise database, the frequency and amplitude of noise signals requiring noise reduction can be determined.

[0142] By acquiring noise signals from microphones at the target location inside the vehicle, the phase of the noise signal requiring noise reduction is determined based on the frequency of the previously acquired noise signals. Then, an active noise reduction algorithm is used to determine the noise reduction signal needed under the current operating conditions. The compressor noise with the opposite phase and the same amplitude is emitted through a speaker. The sound emitted by the speaker interacts and cancels out the noise generated by the compressor, thereby reducing the compressor noise inside the vehicle.

[0143] Figure 4 This is a schematic diagram of a noise reduction device for a thermal management system provided in an embodiment of this application. The device can be a module, program segment, or code on an electronic device. It should be understood that this device is similar to the one described above. Figure 1 The method implementation corresponds to this and can be executed. Figure 1 The specific functions of the device involved in each step of the method embodiment can be found in the description above; to avoid repetition, detailed descriptions are omitted here. The device includes: a data acquisition module 401, a noise parameter determination module 402, a noise phase determination module 403, a noise reduction signal generation module 404, and a noise reduction module 405, wherein:

[0144] The data acquisition module 401 is used to acquire the component operating parameters related to noise during the operation of the fluid machinery components in the thermal management system; the component operating parameters include pressure pulsation signals;

[0145] The noise parameter determination module 402 is configured to determine a component noise parameter of the fluid mechanical component based on the component operation parameter;

[0146] The noise phase determination module 403 is configured to collect an ambient noise signal, and determine an ambient noise parameter corresponding to the ambient noise signal according to the ambient noise signal;

[0147] The noise reduction signal generation module 404 is configured to generate a noise reduction signal according to the component noise parameter and the ambient noise parameter;

[0148] The noise reduction module 405 is configured to perform noise reduction processing on noise generated by the fluid mechanical component based on the noise reduction signal.

[0149] On the basis of the above embodiment, the noise parameter determination module 402 is specifically configured to:

[0150] compare the component operation parameter with noise data in a noise library to determine the noise parameter; wherein the noise parameter includes a noise frequency and a noise amplitude; the noise library includes noise data under multiple operation conditions; the noise data includes a component operation parameter, a noise frequency and a noise amplitude under an operation condition.

[0151] On the basis of the above embodiment, the component operation parameter includes a component working parameter and a pressure pulsation signal; and the noise parameter determination module 402 is specifically configured to:

[0152] perform frequency spectrum analysis on the component working parameter and the pressure pulsation signal to generate a frequency spectrum graph;

[0153] analyze the frequency spectrum graph to obtain the noise parameter of the fluid mechanical component.

[0154] On the basis of the above embodiment, the component noise parameter includes a noise amplitude; the ambient noise parameter includes an ambient noise phase; and the noise reduction signal generation module 404 is specifically configured to:

[0155] determine a noise reduction amplitude according to the noise amplitude; wherein a difference between the noise reduction amplitude and the noise amplitude is less than a preset amplitude threshold;

[0156] determine a noise reduction phase according to the ambient noise phase; wherein a difference between a reverse phase corresponding to the noise reduction phase and the ambient noise phase is less than a preset phase threshold;

[0157] generate the noise reduction signal according to the noise reduction amplitude and the noise reduction phase.

[0158] On the basis of the above embodiment, the device further includes a fluid mechanical component determination module configured to:

[0159] collecting, during operation of a plurality of components in a thermal management system, a component operating parameter related to noise of the components;

[0160] comparing the component operating parameter of each component with a corresponding parameter threshold value;

[0161] determining, as the fluid mechanical component, a component corresponding to the component operating parameter that exceeds the parameter threshold value most.

[0162] On the basis of the above-mentioned embodiments, the noise reduction signal generation module 404 is specifically configured to:

[0163] inputting the component noise parameter and the environmental noise parameter into a noise prediction model to obtain a predicted noise signal output by the noise prediction model; wherein the noise prediction model is obtained by training based on historical noise signals as model inputs and noise signals at future time as labels;

[0164] generating the noise reduction signal based on the predicted noise signal.

[0165] On the basis of the above-mentioned embodiments, the noise reduction signal generation module 404 is specifically configured to:

[0166] inputting the component noise parameter and the environmental noise parameter as input signals into an adaptive filter;

[0167] calculating an error between the input signals and an expected signal through the adaptive filter, and adjusting filter coefficients based on the error to obtain an output signal corresponding to a minimized error signal; the expected signal is a preset mute signal;

[0168] taking the output signal as the noise reduction signal.

[0169] Figure 5 An electronic device entity structure schematic diagram provided by the embodiments of the present application is shown in FIG. 1, which includes a processor 501, a memory 502 and a bus 503; wherein, Figure 5

[0170] The processor 501 and the memory 502 complete mutual communication through the bus 503;

[0171] ​The processor 501 is configured to invoke program instructions in the memory 502 to perform the method provided by each method embodiment described above, for example, including: obtaining a component operating parameter related to noise of a fluid mechanical component in a thermal management system during operation of the fluid mechanical component; the component operating parameter includes a pressure pulsation signal; determining a component noise parameter of the fluid mechanical component based on the component operating parameter; collecting an environmental noise signal, and determining an environmental noise parameter corresponding to the environmental noise signal according to the environmental noise signal; generating a noise reduction signal according to the component noise parameter and the environmental noise parameter; and performing noise reduction processing on noise generated by the fluid mechanical component based on the noise reduction signal.

[0172] The processor 501 can be an integrated circuit chip with signal processing capability. The processor 501 described above can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; and can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component. It can implement or execute the various methods, steps and logic block diagrams disclosed in the embodiments of the present application. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0173] The memory 502 can include, but is not limited to, a random access memory (RAM), a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), etc.

[0174] The embodiment discloses a computer program product, the computer program product comprises a computer program stored on a non-transitory computer readable storage medium, the computer program comprises program instructions, when the program instructions are executed by a computer, the computer can execute the method provided by each method embodiment, for example, comprising: obtaining a component operating parameter related to noise of a fluid mechanical component in a thermal management system during operation; the component operating parameter comprises a pressure pulsation signal; determining a component noise parameter of the fluid mechanical component based on the component operating parameter; collecting an environmental noise signal, and determining an environmental noise parameter corresponding to the environmental noise signal according to the environmental noise signal; generating a noise reduction signal according to the component noise parameter and the environmental noise parameter; and performing noise reduction processing on the noise generated by the fluid mechanical component based on the noise reduction signal.

[0175] The embodiment provides a non-transitory computer readable storage medium, the non-transitory computer readable storage medium stores computer instructions, the computer instructions enable the computer to execute the method provided by each method embodiment, for example, comprising: obtaining a component operating parameter related to noise of a fluid mechanical component in a thermal management system during operation; the component operating parameter comprises a pressure pulsation signal; determining a component noise parameter of the fluid mechanical component based on the component operating parameter; collecting an environmental noise signal, and determining an environmental noise parameter corresponding to the environmental noise signal according to the environmental noise signal; generating a noise reduction signal according to the component noise parameter and the environmental noise parameter; and performing noise reduction processing on the noise generated by the fluid mechanical component based on the noise reduction signal.

[0176] The vehicle provided by the embodiments of the present application comprises a thermal management system and a noise reduction device of the thermal management system, and the noise reduction device can perform the noise reduction method of the above embodiments. It should be noted that the vehicle can also comprise a voltage compressor assembly, a vehicle CAN system, and a vehicle audio and video entertainment system. The compressor assembly comprises an electric compressor and a vibration isolation support, and the electric compressor is arranged on the vehicle body of the electric vehicle through the vibration isolation support. The active noise reduction control system mainly comprises a pair of loudspeakers (such as existing medium and low frequency loudspeakers in the vehicle) arranged on the front left door and the front right door respectively, a microphone (such as a pair of microphones integrated in the seat headrest of the seat in the vehicle and arranged at positions corresponding to the top of the head of the vehicle passenger on the inner side of the vehicle canopy) integrated in the seat headrest of the seat in the vehicle or installed at positions corresponding to the top of the head of the vehicle passenger in the vehicle canopy, a processor, a mixer, and a power amplifier. The microphone is mainly used to collect residual noise of the vehicle passenger seated on the seat in the vehicle and transmit the collected residual noise to the processor. The processor also picks up the vibration acceleration of the electric compressor and extracts the rotating speed of the electric compressor from the CAN system, and sends the picked-up information to the noise reduction device. Based on the information collected, picked up and extracted, the anti-phase sound waves which can directly cancel the noise signals are obtained as the active noise reduction signals after algorithm processing. The anti-phase sound waves and the audio signals generated by the vehicle audio and video entertainment system are input into the mixer for mixing processing, and then the signals are amplified by the power amplifier. Finally, the two signals are delivered to the loudspeakers without interference, so that the active noise reduction signals are sent to the vehicle passenger, thereby providing the vehicle passenger with good quality active noise reduction service for the electric compressor, and ensuring that the audio signals can be sent to the vehicle passenger without affecting the implementation of the active noise reduction.

[0177] In the embodiments of the present application, it should be understood that the disclosed devices and methods can be implemented in other manners. The above-described device embodiments are only schematic. For example, the division of the units is only a logical function division. There can be another division manner for the actual implementation, for example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections between the units can be indirect couplings or communication connections through some interfaces, devices or units, and can be electrical, mechanical or in other forms.

[0178] In addition, the units described as separate components can or can not be physically separate, and the components displayed as units can or can not be physical units. That is, they can be located in one place, or can be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purposes of the embodiments of the present application.

[0179] Further, each functional module in each embodiment of the present application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0180] In this document, relational terms such as first and second and the like can be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.

[0181] The above description is merely illustrative of the application, and not in limitation of the principles of the application. Various modifications and changes can be made by those of ordinary skill in the art which fall within the spirit and scope of the application without departing from the spirit and scope of the application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the application should be included in the protection scope of the application.

Claims

1. A noise reduction method for a thermal management system, characterized in that, include: Obtain noise-related component operating parameters of the fluid mechanical components in the thermal management system during operation; the component operating parameters include pressure pulsation signals; The component noise parameters of the fluid machinery component are determined based on the component's operating parameters; Collect environmental noise signals and determine the environmental noise parameters corresponding to the environmental noise signals based on the environmental noise signals; A noise reduction signal is generated based on the component noise parameters and the environmental noise parameters; The noise generated by the fluid machinery component is reduced based on the noise reduction signal.

2. The method according to claim 1, characterized in that, Determining the noise parameters of the fluid machinery component based on the component's operating parameters includes: The component operating parameters are compared with noise data in the noise database to determine the noise parameters; wherein, the noise parameters include noise frequency and noise amplitude; the noise database includes noise data under multiple operating conditions; the noise data includes component operating parameters, noise frequency, and noise amplitude under the operating conditions.

3. The method according to claim 1, characterized in that, The component operating parameters also include component working parameters; determining the noise parameters of the fluid machinery component based on the component operating parameters includes: Spectral analysis is performed on the operating parameters of the component and the pressure pulsation signal to generate a spectrum diagram; The noise parameters of the fluid machinery component are obtained by analyzing the spectrum.

4. The method according to claim 1, characterized in that, The component operating parameters also include the rotational speed signal and acceleration signal of the fluid machinery component. Determining the noise parameters of the fluid machinery component based on the component operating parameters includes: The noise frequency is determined based on the rotation speed signal; The noise amplitude corresponding to the noise frequency is determined based on the acceleration signal and the pressure pulsation signal; The noise parameters are determined based on the noise frequency and the noise amplitude.

5. The method according to claim 1, characterized in that, The component noise parameters include noise amplitude; the environmental noise parameters include environmental noise phase; the step of generating a noise reduction signal based on the component noise parameters and the environmental noise parameters includes: The noise reduction amplitude is determined based on the noise amplitude; wherein the difference between the noise reduction amplitude and the noise amplitude is less than a preset amplitude threshold. The noise reduction phase is determined based on the ambient noise phase; wherein the difference between the inversion value corresponding to the noise reduction phase and the ambient noise phase is less than a preset phase threshold. The noise reduction signal is generated based on the noise reduction amplitude and the noise reduction phase.

6. The method according to claim 1, characterized in that, Before obtaining the noise-related component operating parameters of the fluid mechanical components in the thermal management system during operation, the method further includes: Collect noise-related component operating parameters of multiple components in the thermal management system during operation; Compare the component's operating parameters with the corresponding parameter thresholds; The component whose operating parameter exceeds the parameter threshold the most is identified as the fluid machinery component.

7. The method according to claim 1, characterized in that, The step of generating a noise reduction signal based on the component noise parameters and the environmental noise parameters includes: The component noise parameters and the environmental noise parameters are input into the noise prediction model to obtain the predicted noise signal output by the noise prediction model; wherein, the noise prediction model is obtained by training based on historical noise signals as model input and noise signals at future times as labels; The noise-reduced signal is generated based on the predicted noise signal.

8. The method according to any one of claims 1-7, characterized in that, The step of generating a noise reduction signal based on the component noise parameters and the environmental noise parameters includes: The component noise parameters and the environmental noise parameters are used as input signals to the adaptive filter; The adaptive filter calculates the error between the input signal and the desired signal, and adjusts the filter coefficients based on the error to obtain the output signal that minimizes the error signal; the desired signal is a preset mute signal. The output signal is used as the noise reduction signal.

9. A noise reduction device for a thermal management system, characterized in that, include: The data acquisition module is used to acquire noise-related component operating parameters of the fluid machinery components in the thermal management system during operation. The component's operating parameters include pressure pulsation signals; A noise parameter determination module is used to determine the component noise parameters of the fluid machinery component based on the component operating parameters; A noise phase determination module is used to collect environmental noise signals and determine the environmental noise parameters corresponding to the environmental noise signals based on the environmental noise signals. A noise reduction signal generation module is used to generate a noise reduction signal based on the component noise parameters and the environmental noise parameters; A noise reduction module is used to perform noise reduction processing on the noise generated by the fluid machinery component based on the noise reduction signal.

10. An electronic device, characterized in that, include: Processor, memory, and bus, among which, The processor and the memory communicate with each other via the bus; The memory stores program instructions that can be executed by the processor, and the processor can execute the method as described in any one of claims 1-8 by calling the program instructions.

11. A non-transitory computer-readable storage medium, characterized in that, The non-transitory computer-readable storage medium stores computer instructions that, when executed by a computer, cause the computer to perform the method as described in any one of claims 1-8.

12. A computer program product, characterized in that, It includes computer program instructions, which, when read and executed by a processor, perform the method as described in any one of claims 1-8.

13. A vehicle, characterized in that, The system includes a thermal management system and a noise reduction device for the thermal management system, the noise reduction device being used to perform the method as described in any one of claims 1-8.

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