Vehicle Noise Optimization Method, Device, Equipment and Storage Medium

Abstract

The present application discloses a method, device, equipment and storage medium for vehicle noise optimization, relating to the technical field of data processing, and discloses: obtaining the test working condition and initial fuel injection parameters of a target vehicle; performing noise testing based on the initial fuel injection parameters under the test working condition to obtain sensor signals; performing spectral analysis on the sensor signals to obtain the noise frequency range; adjusting the initial fuel injection parameters based on the noise frequency range to obtain target fuel injection parameters, and performing vehicle noise optimization based on the target fuel injection parameters; this method tests the sensor signals of each measuring point under different working conditions based on the initial fuel injection parameters, analyzes the frequency range where the noise mainly concentrates based on the spectrum of the sensor signals, adjusts the fuel injection parameters within this frequency range until the in-vehicle noise meets the noise requirements to obtain the adjusted fuel injection parameters, which are the optimized fuel injection parameters, so as to realize the noise optimization of the vehicle fuel injection system, reduce the high-pressure fuel injection noise, and improve the user driving experience.

Description

Technical Field

[0001] This application relates to the technical field of data processing, and particularly relates to a method, device, equipment and storage medium for optimizing vehicle noise. Background Art

[0002] Users' requirements for in-vehicle sound quality are getting higher and higher. Due to the scenarios of low battery power and high-power power generation requirements in hybrid vehicles, the idle speed condition and low-speed engine noise of hybrid vehicles are higher than those of fuel vehicles. Because the idle power generation of hybrid vehicles is large, the engine noise will also increase, and the sound quality is poor. Among them, the noise of the high-pressure fuel injection system will generate high-frequency knocking noises such as "ticking" and "hissing", which is an important sound source affecting the engine and in-vehicle sound quality.

[0003] The above content is only used to assist in understanding the technical solution of this application, and does not represent an admission that the above content is prior art. Summary of the Invention

[0004] The main purpose of this application is to provide a method, device, equipment and storage medium for optimizing vehicle noise, aiming to solve the technical problem that the high-pressure fuel injection noise of current hybrid vehicles is relatively large under idle or low-speed conditions, seriously affecting the driving experience of users.

[0005] To achieve the above purpose, this application proposes a method for optimizing vehicle noise, and the method for optimizing vehicle noise includes:

[0006] Obtain the test condition and initial fuel injection parameters of the target vehicle;

[0007] Conduct a noise test based on the initial fuel injection parameters under the test condition to obtain a sensor signal;

[0008] Perform spectral analysis on the sensor signal to obtain the noise frequency range;

[0009] Adjust the initial fuel injection parameters based on the noise frequency range to obtain target fuel injection parameters, and optimize the vehicle noise based on the target fuel injection parameters.

[0010] In one embodiment, the step of conducting a noise test based on the initial fuel injection parameters under the test condition to obtain a sensor signal includes:

[0011] Conduct a noise test based on the initial fuel injection parameters under the test condition, and collect the vibration signal of the measurement point and the sound signal of the near sound field;

[0012] Use the vibration signal and the sound signal as the sensor signal.

[0013] In one embodiment, the step of performing spectral analysis on the sensor signal to obtain the noise frequency range includes:

[0014] Obtain the noise amplitude threshold;

[0015] Obtain the vibration spectrum from the vibration signal, and identify the high-frequency vibration signals in the vibration spectrum that are greater than or equal to the noise amplitude threshold;

[0016] Obtain the vibration noise frequency range based on the frequencies of the high-frequency vibration signals;

[0017] Obtain the sound spectrum from the sound signal, and identify the high-frequency sound signals in the sound spectrum that are greater than or equal to the noise amplitude threshold.

[0018] Obtain the sound noise frequency range based on the frequencies of the high-frequency sound signals;

[0019] Obtain the noise frequency range based on the vibration noise frequency range and the sound noise frequency range.

[0020] In one embodiment, the adjusting the initial fuel injection parameters based on the noise frequency range to obtain the target fuel injection parameters, and optimizing the vehicle noise based on the target fuel injection parameters includes:

[0021] Adjust the initial fuel injection parameters based on the noise frequency range to obtain the reference fuel injection parameters;

[0022] Conduct a noise test according to the reference fuel injection parameters to obtain noise parameters;

[0023] When the noise parameters are less than or equal to the noise threshold, use the reference fuel injection parameters as the target fuel injection parameters;

[0024] Optimize the vehicle noise based on the target fuel injection parameters.

[0025] In one embodiment, the initial fuel injection parameters include the fuel injection ratio, rail pressure, and fuel injection state;

[0026] The adjusting the initial fuel injection parameters based on the noise frequency range to obtain the reference fuel injection parameters includes:

[0027] Divide the initial fuel injection parameters into parameters to be adjusted and parameters to be maintained, and the parameter to be adjusted is any one of the fuel injection ratio, rail pressure, and fuel injection state;

[0028] Adjust the parameter to be adjusted based on a preset calibration value to obtain the adjusted parameter;

[0029] Obtain the reference fuel injection parameters according to the adjusted parameter and the parameter to be maintained.

[0030] In one embodiment, the conducting a noise test according to the reference fuel injection parameters to obtain the noise parameters includes:

[0031] Conduct a noise test according to the reference injection parameters and obtain a noise signal;

[0032] Obtain the noise sound pressure level and the noise sharpness from the noise signal, and use the noise sound pressure level and the noise sharpness as noise parameters.

[0033] In one embodiment, the obtaining of the test conditions and the initial injection parameters of the target vehicle includes:

[0034] Obtain the power at the idle state and the power at the low-speed state of the target vehicle;

[0035] Based on the power at the idle state, obtain multiple vehicle speeds at the idle state, and based on the power at the low-speed state, obtain multiple vehicle speeds at the low-speed state;

[0036] Obtain the test conditions according to the vehicle speeds at the idle state and the vehicle speeds at the low-speed state;

[0037] Obtain the injection ratio, the rail pressure, and the injection state of the injection system of the target vehicle;

[0038] Obtain the initial injection parameters according to the injection ratio, the rail pressure, and the injection state.

[0039] In addition, to achieve the above object, the present application also proposes a vehicle noise optimization device, and the vehicle noise optimization device includes:

[0040] A parameter acquisition module, configured to acquire the test conditions and the initial injection parameters of the target vehicle;

[0041] A noise analysis module, configured to conduct a noise test based on the initial injection parameters under the test conditions to obtain a sensor signal;

[0042] The noise analysis module is further configured to perform a spectrum analysis on the sensor signal to obtain a noise frequency range;

[0043] A noise optimization module, configured to adjust the initial injection parameters based on the noise frequency range to obtain target injection parameters, and optimize the vehicle noise based on the target injection parameters.

[0044] In addition, to achieve the above object, the present application also proposes a vehicle noise optimization device, and the device includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, and the computer program is configured to implement the steps of the vehicle noise optimization method as described above.

[0045] In addition, to achieve the above object, the present application also proposes a storage medium, the storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium, and when the computer program is executed by a processor, the steps of the vehicle noise optimization method as described above are implemented.

[0046] In addition, to achieve the above object, the present application also provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the steps of the vehicle noise optimization method described above are implemented.

[0047] One or more technical solutions proposed in the present application have at least the following technical effects:

[0048] By testing the sensor signals of each measurement point under different working conditions based on the initial injection parameters, analyzing the frequency range where the noise mainly concentrates based on the frequency spectrum of the sensor signals, and adjusting the injection parameters within this frequency range until the in-vehicle noise meets the noise requirements to obtain the adjusted injection parameters, which are the optimized injection parameters, the noise optimization of the vehicle injection system is realized, the high-pressure injection noise is reduced, and the user driving experience is improved. Description of the Drawings

[0049] The drawings here are incorporated into the specification and form a part of this specification, showing the embodiments consistent with the present application, and are used together with the specification to explain the principles of the present application.

[0050] To more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0051] Figure 1 It is a schematic flowchart provided for Embodiment 1 of the vehicle noise optimization method of the present application;

[0052] Figure 2 It is a schematic sound frequency spectrum diagram provided for an embodiment of the vehicle noise optimization method of the present application;

[0053] Figure 3 It is the noise optimization step flow based on the injection system provided for an embodiment of the vehicle noise optimization method of the present application;

[0054] Figure 4 It is a schematic flowchart provided for Embodiment 2 of the vehicle noise optimization method of the present application;

[0055] Figure 5 It is a comparison curve graph of the noise sharpness before and after optimization provided for an embodiment of the vehicle noise optimization method of the present application;

[0056] Figure 6 It is a schematic module structure diagram of the vehicle noise optimization device for the embodiment of the present application;

[0057] Figure 7This is a schematic diagram of the device structure of the hardware operating environment involved in the vehicle noise optimization method in the embodiments of the present application. Detailed implementation manners

[0058] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0059] In order to better understand the technical solutions of the present application, the following will be described in detail in conjunction with the specification drawings and specific implementation manners.

[0060] The main solution of the embodiments of the present application is: obtaining the test working conditions and initial fuel injection parameters of the target vehicle; performing a noise test based on the initial fuel injection parameters under the test working conditions to obtain sensor signals; performing a spectrum analysis on the sensor signals to obtain the noise frequency range; adjusting the initial fuel injection parameters based on the noise frequency range to obtain target fuel injection parameters, and performing vehicle noise optimization based on the target fuel injection parameters.

[0061] In this embodiment, for the convenience of description, the vehicle noise optimization device is used as the execution subject for the following elaboration.

[0062] Due to the fact that in the prior art, users' requirements for in-vehicle sound quality are getting higher and higher. Hybrid vehicles have low battery power and high-power power generation demand scenarios. In hybrid vehicles, due to the existence of low battery power and high-power power generation demand scenarios, the engine noise at idle speed and low speed is higher than that of fuel vehicles. Because the idle power generation of hybrid vehicles is large, the engine noise will also increase, and the sound quality is poor. Among them, the noise of the high-pressure fuel injection system will generate high-frequency knocking noises such as "ticking" and "hissing", which is an important sound source affecting the engine and in-vehicle sound quality.

[0063] The present application provides a solution. Based on the initial fuel injection parameters, the sensor signals at each measuring point are tested under different working conditions. Based on the spectrum analysis of the sensor signals, the frequency range where the noise is mainly concentrated is obtained. The fuel injection parameters are adjusted within this frequency range until the in-vehicle noise meets the noise requirements to obtain the adjusted fuel injection parameters, which are the optimized fuel injection parameters, so as to realize the noise optimization of the vehicle fuel injection system, reduce the high-pressure fuel injection noise, and improve the user driving experience.

[0064] As can be seen from the above embodiments, the present application discloses a vehicle noise optimization method, device, equipment and storage medium, relating to the technical field of data processing, and discloses: obtaining the test working condition and initial injection parameters of a target vehicle; performing a noise test based on the initial injection parameters under the test working condition to obtain a sensor signal; performing a spectrum analysis on the sensor signal to obtain a noise frequency range; adjusting the initial injection parameters based on the noise frequency range to obtain target injection parameters, and optimizing the vehicle noise based on the target injection parameters; this method tests the sensor signals of each measuring point under different working conditions based on the initial injection parameters, analyzes the frequency range where the noise mainly concentrates based on the spectrum of the sensor signal, and adjusts the injection parameters within this frequency range until the in-vehicle noise meets the noise requirements to obtain the adjusted injection parameters, which are the optimized injection parameters, so as to realize the noise optimization of the vehicle injection system, reduce the high-pressure injection noise, and improve the user driving experience.

[0065] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication, and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device, a vehicle noise optimization device, etc. that can implement the above functions. Hereinafter, taking the vehicle noise optimization device as an example, this embodiment and the following embodiments will be described.

[0066] Based on this, an embodiment of the present application provides a vehicle noise optimization method, referring to Figure 1 , Figure 1 which is a schematic flowchart of the first embodiment of the vehicle noise optimization method of the present application.

[0067] In this embodiment, the vehicle noise optimization method includes steps S10 to S40:

[0068] Step S10, obtaining the test working condition and initial injection parameters of a target vehicle.

[0069] It should be noted that the obtaining of the test working condition and initial injection parameters of the target vehicle includes: obtaining the idle state power and low-speed state power of the target vehicle; obtaining a plurality of idle state vehicle speeds based on the idle state power, and obtaining a plurality of low-speed state vehicle speeds based on the low-speed state power; obtaining the test working condition according to the idle state vehicle speed and the low-speed state vehicle speed; obtaining the injection ratio, rail pressure, and injection state of the injection system of the target vehicle; and obtaining the initial injection parameters according to the injection ratio, the rail pressure, and the injection state.

[0070] Among them, it can be understood that the target vehicle can be a general term for a vehicle that needs to reduce the noise of the injection system, or a general term for a certain model of vehicle, or specifically refer to a certain vehicle.

[0071] Among them, it should be understood that the test conditions can include the idle condition and the low-speed condition. Further, the idle condition and the low-speed condition can be divided into idle conditions and low-speed conditions with different powers. Each power can correspond to multiple driving speeds. In this embodiment, the test conditions can be divided into multiple test conditions according to different powers.

[0072] Among them, it should be understood that the initial injection parameters can be the injection parameters set during the production of the target vehicle. These injection parameters can include injection ratio, rail pressure, injection method, etc.

[0073] It should be emphasized that the noise optimization method described in this embodiment is applied to the high-pressure injection system. The high-pressure injection system is mainly divided into four parts: the engine control unit (ECU), the high-pressure oil rail, the high-pressure fuel pump, and the injector. Among them, the ECU mainly collects engine data and controls the injection timing and injection volume according to a predetermined program to achieve the highest combustion efficiency; while the high-pressure fuel pump is mainly responsible for pressurizing the fuel, the high-pressure oil rail mainly plays the role of balancing the injection pressures of each injector, and the final injection task is executed by the injector.

[0074] Step S20, perform a noise test based on the initial injection parameters under the test conditions to obtain a sensor signal.

[0075] It can be understood that the sensor signal can include a vibration signal and a sound signal.

[0076] It should be noted that the vibration signal is collected by a vibration sensor, and the sound signal is collected by a sound sensor. The signal collection position is predetermined and the sensor is placed at the preset position for signal collection.

[0077] It should be noted that a vibration and noise test is performed on the engine high-pressure injection system on the vehicle: 1. Measuring point arrangement: Vibration sensors are arranged at the positions of the high-pressure fuel pump and the injector, and a microphone is arranged at 0.1 m from the high-pressure oil rail for the amplitude-frequency range of the noise signal (near-field noise of the injection system). It can also include arranging a microphone at the right ear of the driver in the vehicle (interior noise). The interior noise corresponding to this sensor can be used for subsequent evaluation of noise sharpness and sound pressure level.

[0078] It should be noted that a noise test is performed based on the initial injection parameters under the test conditions, and the vibration signal of the measurement point and the sound signal in the near sound field are collected, and the vibration signal and the sound signal are used as the sensor signal.

[0079] It can be understood that the measurement point can be understood as the positions of the high-pressure fuel pump and the injector, and the near sound field can be 0.1 m from the high-pressure oil rail.

[0080] Step S30, perform a spectral analysis on the sensor signal to obtain the noise frequency range.

[0081] In a feasible implementation, step S41 may include steps A31 to A413:

[0082] Step A411, obtain a noise amplitude threshold.

[0083] It is understandable that it is inevitable for the fuel injection system to generate sound during high-pressure fuel injection. However, when the sound amplitude is particularly large, it will be relatively obvious to humans. A noise amplitude threshold is set based on the minimum sound amplitude that the human ear can hear.

[0084] It should be understood that in the collected sound signal, based on the high noise amplitude threshold, it is judged which sound frequency range has an amplitude exceeding the noise threshold. Then, it is considered that the noise in this range needs to be optimized. For the human ear, the sound with this amplitude has a relatively obvious impact on the user's driving, and the noise needs to be reduced for optimization.

[0085] Step A412, obtain a vibration spectrum according to the vibration signal, and identify high-frequency vibration signals in the vibration spectrum that are greater than or equal to the noise amplitude threshold.

[0086] It is understandable that to judge whether the noise has a greater impact on the user's driving, not only the sound signal but also the vibration signal needs to be considered.

[0087] It should be understood that generally, the sound signal and the vibration signal are consistent. However, during the test process, it is still necessary to collect the vibration signal and determine the noise frequency with higher vibration based on the vibration signal.

[0088] It should be noted that the vibration spectrum can be displayed with the noise frequency as the abscissa and the vibration frequency as the ordinate. Based on the spectrum, it can be clearly known where the vibration signal with a vibration frequency exceeding the vibration frequency threshold is located.

[0089] Step A413, obtain a vibration noise frequency range based on the frequency of the high-frequency vibration signal.

[0090] It is understandable that the vibration spectrum can be displayed with the noise frequency as the abscissa and the vibration amplitude as the ordinate. Based on the abscissa range corresponding to the vibration signal with a vibration amplitude exceeding the vibration frequency amplitude on the vibration spectrum, the vibration noise frequency range can be obtained.

[0091] Step A414, obtain a sound spectrum according to the sound signal, and identify high-frequency sound signals in the sound spectrum that are greater than or equal to the noise amplitude threshold.

[0092] It is understandable that the search for high-frequency sound signals is similar to the search for high-frequency vibration signals. The sound spectrum can have the amplitude of the sound signal as the ordinate and the noise frequency as the abscissa.

[0093] It should be noted that in this embodiment, the acquisition of the noise frequency can be obtained by arranging a microphone at the right ear of the driver in the vehicle (vehicle interior noise).

[0094] In specific implementation, the display of the sound spectrum can refer to Figure 2 , where the noise frequency is taken as the abscissa and the amplitude of the sound signal is taken as the ordinate in the figure.

[0095] Step A415, obtaining the sound noise frequency range based on the frequency of the high-frequency sound signal.

[0096] It should be noted that referring to Figure 2 the red part in is based on the high-frequency sound signal. From the figure, it can be seen that the red sound signal is concentrated in the noise frequency range of 4500 - 6500. Then, if Figure 2 is taken as an example for illustration, the sound noise frequency range is 4500 - 6500.

[0097] Step A416, obtaining the noise frequency range according to the vibration noise frequency range and the sound noise frequency range.

[0098] It can be understood that generally, the vibration noise frequency range and the sound noise frequency range are the same. In this embodiment, in order to more comprehensively and accurately test the noise sources of the fuel injection system under different working conditions, the minimum frequency range including both the vibration noise frequency range and the sound noise frequency range is used as the noise frequency range.

[0099] In this embodiment, through the spectral analysis of the sound signals and vibration signals collected at the preset positions in the vehicle, it can be known in which frequency range the noise of the fuel injection system mainly lies, and the fuel injection parameters can be optimized based on this frequency range to reduce the vehicle noise.

[0100] It can be understood that based on the spectral analysis, the main frequency range of the noise can be known, and then the noise can be optimized for this range, reducing the time for noise optimization at other noise frequencies, quickly finding the optimized fuel injection parameters, and achieving the maximum optimization effect with small time cost and optimization cost.

[0101] The above is only a feasible implementation manner of step S30 provided in this embodiment. This embodiment does not specifically limit the specific implementation manner of step S41.

[0102] Step S40, adjusting the initial fuel injection parameters based on the noise frequency range to obtain the target fuel injection parameters, and optimizing the vehicle noise based on the target fuel injection parameters.

[0103] It is understandable that the initial fuel injection parameters can be adjusted by using a single variable analysis method. After performing spectral analysis on the vibration signals of the fuel injector / high-pressure fuel pump and the near-field noise signals, means such as adjusting the injection ratio (percentage of fuel injection content), rail pressure (increase or decrease), or injection mode (single injection, double injection, or triple injection) can be adopted.

[0104] It should be understood that for each adjustment of a fuel injection parameter, a spectral analysis is performed to determine whether the adjustment of the fuel injection parameter produces an effect of noise reduction.

[0105] It should be noted that a single variable analysis is continuously performed on each fuel injection parameter until the noise of the adjusted vehicle meets the vehicle noise standard value. Then, the adjusted fuel injection parameter is used to control the fuel injection system of the target vehicle to operate, achieving the optimization of the fuel injection system noise.

[0106] In specific implementation, the noise optimization step flow based on the fuel injection system can refer to Figure 3 , and the specific steps of vehicle noise optimization in the figure are vibration noise test of the engine fuel injection system, determination of the noise frequency range, debugging of fuel injection parameters, and determination of the fuel injection control strategy. The noise MAP of the engine high-pressure fuel injection system is determined, the control strategy is determined, the ECU detects the engine speed and engine power, and the ECU issues an instruction to make the fuel injection system operate according to the corresponding fuel injection parameters (i.e., high-pressure fuel rail pressure and injection mode) in the MAP.

[0107] This embodiment provides a vehicle noise optimization method. By testing the sensor signals at each measurement point under different working conditions based on the initial fuel injection parameters, the frequency range where the noise mainly concentrates is determined through spectral analysis of the sensor signals. The fuel injection parameters are adjusted within this frequency range until the in-vehicle noise meets the noise requirements, and the adjusted fuel injection parameters are obtained, which are the optimized fuel injection parameters, achieving the noise optimization of the vehicle fuel injection system, reducing the high-pressure fuel injection noise, and improving the user driving experience.

[0108] Based on the first embodiment of this application, in the second embodiment of this application, the same or similar content as in the above-mentioned embodiment one can be referred to the above introduction and will not be elaborated hereinafter. On this basis, please refer to Figure 4 , step S40, the vehicle noise optimization method further includes steps S41 to S44:

[0109] Step S41, adjusting the initial fuel injection parameters based on the noise frequency range to obtain reference fuel injection parameters.

[0110] It is understandable that the reference fuel injection parameters can be the fuel injection parameters corresponding to when the fuel injection system noise meets the preset noise requirements after one or more adjustments of the initial fuel injection parameters.

[0111] It should be understood that the preset noise requirement can be that the noise sharpness does not exceed level 3 and there is no obvious abnormal noise in the subjective noise.

[0112] In a feasible implementation manner, step S41 may include steps A411 to A413:

[0113] Step A411, dividing the initial injection parameters into parameters to be adjusted and parameters to be maintained, where the parameter to be adjusted is any one of the injection ratio, rail pressure, and injection state.

[0114] It can be understood that when initially checking the noise frequency range, it can be based on the engine power of the vehicle under a working condition to test the sound signal and vibration signal. In this embodiment, the injection parameters are optimized with the slowest vehicle speed corresponding to each engine power as the target working condition.

[0115] It should be understood that at the same engine power, the slower the speed, the more obvious the noise of the injection system in the vehicle environment space. Optimizing the noise based on high vehicle speeds can obtain better optimization effects.

[0116] It should be noted that the initial injection parameters include injection ratio, rail pressure, and injection state.

[0117] It can be understood that each time one parameter among the injection ratio, rail pressure, and injection state is modified, the modified parameter can be used as the parameter to be adjusted, and the unmodified parameters can be used as the parameters to be maintained.

[0118] Step A412, adjusting the parameter to be adjusted based on a preset calibration value to obtain an adjusted parameter.

[0119] It can be understood that the preset calibration value can be the unit of each adjustment of the injection ratio, rail pressure, and injection state. For example, the rail pressure can be adjusted by 50 bar each time, and the injection state can be switched between single injection and multi-injection.

[0120] Step A413, obtaining reference injection parameters according to the adjusted parameter and the parameter to be maintained.

[0121] In a specific implementation, according to the vehicle control strategy, through calibration control, the vehicle runs at the worst engine noise working condition (i.e., the lowest vehicle speed corresponding to the engine working condition), and the in-vehicle noise at different engine speeds and engine powers is tested, and the sound pressure level and sharpness within the frequency range determined in step 2 are calculated for the in-vehicle noise.

[0122] In this implementation manner, by modifying a single parameter of the initial injection parameters and then performing noise testing again, the subjective noise evaluation and sharpness level are obtained, and the parameters are continuously adjusted during the continuous testing process to finally obtain injection parameters that meet the preset noise requirements.

[0123] The above is only a feasible implementation manner of step S41 provided in this embodiment, and this embodiment does not specifically limit the specific implementation manner of step S41.

[0124] Step S42: Perform a noise test according to the reference injection parameters to obtain noise parameters.

[0125] In a feasible implementation manner, step S42 may include steps A421 to A422:

[0126] Step A421: Perform a noise test according to the reference injection parameters and obtain a noise signal.

[0127] It can be understood that the noise signal can be collected by arranging a microphone at the right ear of the driver in the vehicle.

[0128] Step A422: Obtain the noise sound pressure level and noise sharpness according to the noise signal, and obtain the reference injection parameters according to the adjusted parameters and the maintained parameters.

[0129] It should be emphasized that generally, the rail pressure and injection method have a great influence on the noise of the high-pressure injection system. The greater the rail pressure, the greater the noise, and the single injection has less noise than the multi-injection. Through calibration and adjustment, determine the injection parameters that meet the target for the high-pressure injection system noise at each engine operating point. The injection parameters include the maximum rail pressure and injection method, and form a table of the high-pressure injection system noise of the engine, as shown in Table 1 and Table 2 below:

[0130] Table 1:

[0131]

[0132] Table 2:

[0133]

[0134] Among them, "OK" in Table 1 means meeting the preset noise requirements, and "NG" means not meeting the preset noise requirements.

[0135] Among them, obtaining the sound pressure level according to the noise signal can be the logarithmic expression of the ratio of the sound pressure of the sound signal to the reference sound pressure (usually the sound pressure in the air, about 2×10^-5 Pa).

[0136] Among them, obtaining the sharpness according to the noise signal is a quantitative index of subjective auditory perception, used to describe the degree of harshness or sharpness of the sound, usually related to the frequency distribution of the sound signal, especially the intensity of the high-frequency components. Common methods include using models defined in international standards such as ISO 532-1 or ISO 532-2 to determine. For example, the sharpness level threshold in Table 2 is 3 levels, and when the sharpness level is less than or equal to 3, it meets the preset noise requirements.

[0137] In this embodiment, by adjusting a single parameter in the fuel injection parameters and collecting the noise sharpness and sound pressure level during fuel injection based on this parameter, the evaluation standard can be quantified to obtain fuel injection parameters that accurately meet the noise requirements.

[0138] The above is only a feasible implementation manner of step S42 provided in this embodiment, and this embodiment does not specifically limit the specific implementation manner of step S42.

[0139] Step S43, when the noise parameter is less than or equal to the noise threshold, use the reference fuel injection parameter as the target fuel injection parameter.

[0140] It can be understood that based on the noise parameter, it is judged whether the sharpness of the noise parameter exceeds level 3, subjectively judge whether there is an obvious abnormal sound in the noise sound pressure, or whether the amplitude exceeds the preset amplitude threshold.

[0141] It should be understood that when the noise parameter is less than or equal to the noise threshold, the reference fuel injection parameter corresponding to this noise parameter can be used as the target fuel injection parameter.

[0142] Step S44, optimize the vehicle noise based on the target fuel injection parameter.

[0143] It can be understood that the target fuel injection parameter has been tested. Among the noise parameters corresponding to the tested fuel injection parameters, both the sound pressure level and the noise sharpness meet the preset noise requirements. Replacing the initial fuel injection parameter of the target vehicle with the target fuel injection parameter can achieve the noise optimization of the target vehicle. For the comparison of the noise sharpness before and after optimization, please refer to Figure 5 , the upper curve in the figure represents the noise sharpness before optimization, and the lower curve in the figure represents the noise sharpness after optimization.

[0144] This embodiment provides a vehicle noise optimization method. By adjusting a single parameter in the fuel injection parameters for a pre-screened noise frequency range, according to the calibration value of each parameter adjustment, the noise parameter is detected again each time, and based on the noise parameter threshold, it is judged whether the currently adjusted fuel injection parameter meets the requirements of noise optimization, so as to accurately find the fuel injection parameter that meets the noise parameter requirements and achieve the optimization of the vehicle fuel injection system noise.

[0145] It should be noted that the above examples are only for understanding this application and do not constitute a limitation to the vehicle noise optimization method of this application. Based on this technical concept, more forms of simple transformations are within the protection scope of this application.

[0146] This application also provides a vehicle noise optimization device. Please refer to Figure 6 , the vehicle noise optimization device includes:

[0147] A parameter acquisition module 10 is configured to acquire a test working condition and initial fuel injection parameters of a target vehicle;

[0148] A noise analysis module 20 is configured to perform a noise test based on the initial fuel injection parameters under the test working condition to obtain a sensor signal;

[0149] The noise analysis module 20 is further configured to perform a spectrum analysis on the sensor signal to obtain a noise frequency range;

[0150] A noise optimization module 30 is configured to adjust the initial fuel injection parameters based on the noise frequency range to obtain target fuel injection parameters, and perform vehicle noise optimization based on the target fuel injection parameters.

[0151] The vehicle noise optimization device provided in this application adopts the vehicle noise optimization method in the above embodiment, and can solve the technical problem that the high-pressure fuel injection noise of hybrid vehicles is relatively large under idle or low-speed working conditions, seriously affecting the driving experience of users. Compared with the prior art, the beneficial effects of the vehicle noise optimization device provided in this application are the same as those of the vehicle noise optimization method provided in the above embodiment, and other technical features in the vehicle noise optimization device are the same as the features disclosed in the above embodiment method, and will not be elaborated here.

[0152] This application provides a vehicle noise optimization 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 so that the at least one processor can execute the vehicle noise optimization method in the first embodiment above.

[0153] The following refers to Figure 7 , which shows a schematic structural diagram of a vehicle noise optimization device suitable for implementing the embodiments of this application. The vehicle noise optimization device in the embodiments of this application may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistant), PADs (Portable Application Description), PMPs (Portable Media Player), in-vehicle terminals (such as in-vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 7 The vehicle noise optimization device shown is only an example and should not impose any limitation on the functions and usage scope of the embodiments of this application.

[0154] As Figure 7As shown, the vehicle noise optimization device may include a processing device 1001 (such as a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 into a random access memory (RAM: Random Access Memory) 1004. In the RAM 1004, various programs and data required for the operation of the vehicle noise optimization device are also stored. The processing device 1001, the ROM 1002, and the RAM 1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems may be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the vehicle noise optimization device to communicate with other devices wirelessly or wiredly to exchange data. Although the figure shows a vehicle noise optimization device having various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or had alternatively.

[0155] Particularly, according to the embodiments disclosed in the present application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program codes for executing the methods shown in the flowcharts. In such an embodiment, the computer program can be downloaded and installed from a network through the communication device, or installed from the storage device 1003, or installed from the ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the methods of the embodiments disclosed in the present application are executed.

[0156] The vehicle noise optimization device provided by the present application adopts the vehicle noise optimization method in the above embodiments, and can solve the technical problem that the high-pressure injection noise is relatively large in the idle or low-speed working conditions of current hybrid vehicles, seriously affecting the driving experience of users. Compared with the prior art, the beneficial effects of the vehicle noise optimization device provided by the present application are the same as those of the vehicle noise optimization method provided by the above embodiments, and other technical features in the vehicle noise optimization device are the same as the features disclosed in the method of the previous embodiment, and will not be elaborated here.

[0157] It should be understood that each part disclosed in this application can be implemented by hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in a suitable manner in any one or more embodiments or examples.

[0158] As described above, the above are only specific embodiments of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in this application, and all should be covered by the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

[0159] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., computer programs) stored thereon, and the computer-readable program instructions are used to execute the vehicle noise optimization method in the above embodiments.

[0160] The computer-readable storage medium provided by this application can be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM: Random Access Memory), read-only memory (ROM: Read Only Memory), erasable programmable read-only memory (EPROM: Erasable Programmable Read Only Memory or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM: CD-Read Only Memory), optical storage devices, magnetic storage devices, or any suitable combination of the above. In this embodiment, the computer-readable storage medium can be any tangible medium that contains or stores a program, and this program can be used by or in combination with an instruction execution system, system, or device. The program code contained on the computer-readable storage medium can be transmitted by any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0161] The above computer-readable storage medium can be included in the vehicle noise optimization device; it can also exist separately without being assembled into the vehicle noise optimization device.

[0162] The above computer-readable storage medium carries one or more programs, which, when executed by a vehicle noise optimization device, cause the vehicle noise optimization device to: obtain a test working condition and initial fuel injection parameters of a target vehicle; perform a noise test based on the initial fuel injection parameters under the test working condition to obtain a sensor signal; perform spectral analysis on the sensor signal to obtain a noise frequency range; adjust the initial fuel injection parameters based on the noise frequency range to obtain target fuel injection parameters, and perform vehicle noise optimization based on the target fuel injection parameters.

[0163] Computer program code for performing the operations of the present application may be written in one or more programming languages or combinations thereof. The above programming languages include object-oriented programming languages such as Java, Smalltalk, C++, and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, executed as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., by connecting through an Internet service provider using the Internet).

[0164] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code that contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than marked in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and combinations of blocks in the block diagram and / or flowchart, may be implemented by a dedicated hardware-based system for performing the specified functions or operations, or may be implemented by a combination of dedicated hardware and computer instructions.

[0165] The modules described in the embodiments of the present application may be implemented in software or in hardware. Among them, the name of the module does not constitute a limitation to the unit itself in some cases.

[0166] The readable storage medium provided by this application is a computer-readable storage medium. The computer-readable storage medium stores computer-readable program instructions (i.e., computer programs) for executing the above vehicle noise optimization method, which can solve the technical problem that the high-pressure fuel injection noise is relatively large under idle or low-speed conditions of current hybrid vehicles, seriously affecting the driving experience of users. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by this application are the same as those of the vehicle noise optimization method provided by the above embodiments, and will not be elaborated here.

[0167] This application also provides a computer program product, including a computer program, and when the computer program is executed by a processor, it implements the steps of the vehicle noise optimization method as described above.

[0168] The computer program product provided by this application can solve the technical problem that the high-pressure fuel injection noise is relatively large under idle or low-speed conditions of current hybrid vehicles, seriously affecting the driving experience of users. Compared with the prior art, the beneficial effects of the computer program product provided by this application are the same as those of the vehicle noise optimization method provided by the above embodiments, and will not be elaborated here.

[0169] The above are only partial embodiments of this application, and thus do not limit the patent scope of this application. Any equivalent structural transformation made under the technical concept of this application by using the content of the specification and drawings of this application, or any direct / indirect application in other related technical fields, is included in the patent protection scope of this application.

Claims

1. A vehicle noise optimization method, characterized in that, The vehicle noise optimization method includes: Obtaining the test conditions and initial fuel injection parameters of the target vehicle, where the initial fuel injection parameters include fuel injection ratio, rail pressure, and fuel injection state, and the fuel injection state includes single injection and multiple injections; Performing a noise test based on the initial fuel injection parameters under the test conditions to obtain sensor signals, where the sensor signals include vibration signals and sound signals; Performing spectral analysis on the sensor signals to obtain the noise frequency range; Adjusting the initial fuel injection parameters based on the noise frequency range to obtain target fuel injection parameters, and optimizing the vehicle noise based on the target fuel injection parameters; The performing spectral analysis on the sensor signals to obtain the noise frequency range includes: Obtaining a noise amplitude threshold; Obtaining a vibration spectrum according to the vibration signal, identifying high-frequency vibration signals in the vibration spectrum that are greater than or equal to the noise amplitude threshold, and obtaining a vibration noise frequency range based on the frequencies of the high-frequency vibration signals; Obtaining a sound spectrum according to the sound signal, identifying high-frequency sound signals in the sound spectrum that are greater than or equal to the noise amplitude threshold, and obtaining a sound noise frequency range based on the frequencies of the high-frequency sound signals; Obtaining a noise frequency range according to the vibration noise frequency range and the sound noise frequency range; The adjusting the initial fuel injection parameters based on the noise frequency range to obtain target fuel injection parameters, and optimizing the vehicle noise based on the target fuel injection parameters includes: Dividing the initial fuel injection parameters into parameters to be adjusted and parameters to be maintained, where the parameter to be adjusted is any one of the fuel injection ratio, rail pressure, and fuel injection state; Adjusting the parameter to be adjusted based on a preset calibration value to obtain an adjusted parameter; Obtaining reference fuel injection parameters according to the adjusted parameter and the parameter to be maintained; Performing a noise test according to the reference fuel injection parameters to obtain noise parameters; When the noise parameters are less than or equal to the noise threshold, taking the reference fuel injection parameters as the target fuel injection parameters; Optimizing the vehicle noise based on the target fuel injection parameters.

2. The vehicle noise optimization method according to claim 1, wherein, The performing a noise test based on the initial fuel injection parameters under the test conditions to obtain sensor signals includes: Performing a noise test based on the initial fuel injection parameters under the test conditions, and collecting the vibration signal of the measurement point and the sound signal of the near sound field; Taking the vibration signal and the sound signal as sensor signals.

3. The vehicle noise optimization method according to claim 1, wherein, The performing a noise test according to the reference fuel injection parameters to obtain noise parameters includes: Performing a noise test according to the reference fuel injection parameters and obtaining a noise signal; Obtaining the noise sound pressure level and the noise sharpness according to the noise signal, and taking the noise sound pressure level and the noise sharpness as noise parameters.

4. The vehicle noise optimization method according to claim 1, characterized in that, The obtaining the test conditions and initial fuel injection parameters of the target vehicle includes: Obtaining the power at the idle state and the power at the low-speed state of the target vehicle; Obtaining multiple idle state vehicle speeds based on the power at the idle state, and obtaining multiple low-speed state vehicle speeds based on the power at the low-speed state; Obtaining the test conditions according to the idle state vehicle speeds and the low-speed state vehicle speeds; Obtaining the fuel injection ratio, rail pressure, and fuel injection state of the fuel injection system of the target vehicle; Obtaining the initial fuel injection parameters according to the fuel injection ratio, the rail pressure, and the fuel injection state.

5. A vehicle noise optimization device, characterized in that, The vehicle noise optimization device includes: a parameter acquisition module configured to acquire a test working condition and initial fuel injection parameters of a target vehicle, where the initial fuel injection parameters include a fuel injection ratio, a rail pressure, and a fuel injection state, and the fuel injection state includes single injection and multi-injection; a noise analysis module configured to perform a noise test based on the initial fuel injection parameters under the test working condition to obtain a sensor signal, where the sensor signal includes a vibration signal and a sound signal; the noise analysis module is further configured to perform a spectral analysis on the sensor signal to obtain a noise frequency range; a noise optimization module configured to adjust the initial fuel injection parameters based on the noise frequency range to obtain target fuel injection parameters, and perform vehicle noise optimization based on the target fuel injection parameters; the noise analysis module is further configured to obtain a noise amplitude threshold; obtain a vibration spectrum according to the vibration signal, identify high-frequency vibration signals in the vibration spectrum that are greater than or equal to the noise amplitude threshold, and obtain a vibration noise frequency range based on the frequencies of the high-frequency vibration signals; obtain a sound spectrum according to the sound signal, identify high-frequency sound signals in the sound spectrum that are greater than or equal to the noise amplitude threshold, and obtain a sound noise frequency range based on the frequencies of the high-frequency sound signals; obtain a noise frequency range according to the vibration noise frequency range and the sound noise frequency range; the noise optimization module is further configured to divide the initial fuel injection parameters into parameters to be adjusted and parameters to be maintained, where the parameter to be adjusted is any one of the fuel injection ratio, the rail pressure, and the fuel injection state; adjust the parameter to be adjusted based on a preset calibration value to obtain an adjusted parameter; obtain a reference fuel injection parameter according to the adjusted parameter and the parameter to be maintained; perform a noise test according to the reference fuel injection parameter to obtain a noise parameter; when the noise parameter is less than or equal to a noise threshold, use the reference fuel injection parameter as the target fuel injection parameter; perform vehicle noise optimization based on the target fuel injection parameters.

6. A vehicle noise optimization device, characterized in that, The device includes: a memory, a processor, and a vehicle noise optimization program stored on the memory and executable on the processor, where the vehicle noise optimization program is configured to implement the vehicle noise optimization method according to any one of claims 1 to 4.

7. A storage medium, characterized in that, A vehicle noise optimization program is stored on the storage medium, and when the vehicle noise optimization program is executed by a processor, it implements the vehicle noise optimization method according to any one of claims 1 to 4.

Images