Vehicle aerodynamic noise prediction method, device and equipment, storage medium and product

Abstract

The invention discloses a whole vehicle aerodynamic noise prediction method, device and equipment, a storage medium and a product. The method comprises the following steps: determining an aerodynamic noise prediction result of a to-be-predicted commercial vehicle under an external noise source; the noise source outside the automobile comprises an air conditioner air outlet and a pressure release valve. Performing aerodynamic noise transmission analysis on a sealing system and a sound insulation system of the commercial vehicle to be predicted according to the noise prediction result of the noise source outside the vehicle, and determining an aerodynamic noise transmission result; according to the aerodynamic noise transmission result and the aerodynamic noise prediction result of the air conditioner air outlet and the pressure release valve, aerodynamic noise transmission analysis is conducted on a cockpit sound absorption system of the to-be-predicted commercial vehicle, and the aerodynamic noise response prediction result of the whole to-be-predicted commercial vehicle at the human ears is determined. According to the technical scheme provided by the embodiment of the invention, the accurate prediction, simulation or simulation of the aerodynamic noise response of the commercial vehicle to the human ears of the driver in the vehicle driving process is improved.

Description

Technical Field

[0001] The present invention relates to the field of vehicle simulation technology, and in particular to a method, device, equipment, storage medium and product for predicting the aerodynamic noise of a whole vehicle. Background Art

[0002] As commercial vehicle users' requirements for comfort and driving experience increase, and as commercial vehicles become more electrified, users' requirements for wind noise performance are also increasing.

[0003] Commercial vehicle aerodynamic noise arises from a variety of sources, each producing different forms of noise, including pulsation, suction, leakage, and cavity noise. However, existing commercial vehicle aerodynamic noise analysis methods lack accurate simulation of real-world noise scenarios and are unable to effectively simulate the aerodynamic noise response of commercial vehicles at the driver's ear level. Summary of the Invention

[0004] The present invention provides a method, device, equipment, storage medium and product for predicting the aerodynamic noise of a whole vehicle, so as to improve the accurate prediction, simulation or simulation of the aerodynamic noise response of a commercial vehicle to the driver's ear during vehicle driving.

[0005] According to one aspect of the present invention, a method for predicting aerodynamic noise of a vehicle is provided, the method comprising:

[0006] Determine the aerodynamic noise prediction result of the commercial vehicle to be predicted under the external noise source; the external noise source includes the air outlet of the air conditioner and the pressure relief valve;

[0007] performing an aerodynamic noise transmission analysis on the sealing system and the sound insulation system of the commercial vehicle to be predicted based on the noise prediction result of the external noise source to determine an aerodynamic noise transmission result;

[0008] Based on the aerodynamic noise transmission results and the aerodynamic noise prediction results of the air conditioning outlet and the pressure relief valve, an aerodynamic noise transmission analysis is performed on the cockpit sound absorption system of the commercial vehicle to be predicted, and a prediction result of the aerodynamic noise response of the entire commercial vehicle to be predicted at the human ear is determined.

[0009] According to another aspect of the present invention, a vehicle aerodynamic noise prediction device is provided, the device comprising:

[0010] An external noise prediction module is used to determine the aerodynamic noise prediction results of the commercial vehicle to be predicted under external noise sources; the external noise sources include air conditioning outlets and pressure relief valves;

[0011] a noise transfer analysis module, configured to perform an aerodynamic noise transfer analysis on the sealing system and the sound insulation system of the commercial vehicle to be predicted based on the noise prediction result of the external noise source, and determine an aerodynamic noise transfer result;

[0012] a noise response prediction module for performing an aerodynamic noise transmission analysis on the cockpit sound absorption system of the commercial vehicle to be predicted based on the aerodynamic noise transmission result and the aerodynamic noise prediction results of the air conditioning outlet and the pressure relief valve, and determining a predicted aerodynamic noise response result of the entire commercial vehicle to be predicted at the human ear.

[0013] According to another aspect of the present invention, an electronic device is provided, comprising:

[0014] at least one processor; and

[0015] a memory communicatively connected to the at least one processor; wherein,

[0016] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the vehicle aerodynamic noise prediction method according to any embodiment of the present invention.

[0017] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the vehicle aerodynamic noise prediction method according to any embodiment of the present invention when executed.

[0018] According to another aspect of the present invention, a computer program product is provided. The computer program product includes a computer program. When the computer program is executed by a processor, the computer program implements the above-mentioned vehicle aerodynamic noise prediction method.

[0019] The technical solution of the embodiment of the present invention determines the aerodynamic noise prediction results of the commercial vehicle to be predicted under external noise sources, performs aerodynamic noise transmission analysis on the sealing system and sound insulation system of the commercial vehicle to be predicted based on the noise prediction results of the external noise sources, determines the aerodynamic noise transmission results, and performs aerodynamic noise transmission analysis on the cockpit sound absorption system of the commercial vehicle to be predicted based on the aerodynamic noise transmission results and the aerodynamic noise prediction results of the air conditioning outlet and pressure relief valve, thereby determining the aerodynamic noise response prediction results of the entire commercial vehicle to be predicted at the human ear. The above technical solution combines the characteristics of commercial vehicles, comprehensively considers and covers the aerodynamic noise prediction results of all external noise sources that can generate noise, and effectively combines the aerodynamic noise prediction results with the sealing system, sound insulation system, and cockpit sound absorption system to determine the noise attenuation or noise loss during the transmission process, thereby improving the accurate prediction, simulation, or simulation of the aerodynamic noise response of the commercial vehicle to the driver's ear during vehicle driving, ensuring both the comprehensiveness of aerodynamic noise and the authenticity of the aerodynamic noise prediction of commercial vehicles.

[0020] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present invention, nor is it intended to limit the scope of the present invention. Other features of the present invention will become readily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0022] Figure 1 This is a flow chart of a method for predicting vehicle aerodynamic noise according to the first embodiment of the present invention;

[0023] Figure 2 This is a flow chart of a method for predicting vehicle aerodynamic noise according to a second embodiment of the present invention;

[0024] Figure 3 2 is a schematic structural diagram of a vehicle aerodynamic noise prediction device according to a third embodiment of the present invention;

[0025] Figure 4 A schematic diagram of the structure of an electronic device that implements the method for predicting vehicle aerodynamic noise according to an embodiment of the present invention. DETAILED DESCRIPTION

[0026] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0027] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0028] Example 1

[0029] Figure 1 This is a flow chart of a vehicle aerodynamic noise prediction method provided in the first embodiment of the present invention. This embodiment is applicable to the case of predicting the aerodynamic noise response of the vehicle at the driver's ear during the driving of a commercial vehicle. The method can be executed by a vehicle aerodynamic noise prediction device, which can be implemented in the form of hardware and / or software. The vehicle aerodynamic noise prediction device can be configured in an electronic device. Figure 1 As shown, the method includes:

[0030] S110: Determine a prediction result of aerodynamic noise of the commercial vehicle to be predicted under external noise sources; the external noise sources include air-conditioning outlets and pressure relief valves.

[0031] S120. Based on the noise prediction results of the external noise sources, perform an aerodynamic noise transmission analysis on the sealing system and the sound insulation system of the commercial vehicle to be predicted, and determine the aerodynamic noise transmission results.

[0032] S130. Based on the aerodynamic noise transmission results and the aerodynamic noise prediction results of the air conditioning outlet and the pressure relief valve, perform an aerodynamic noise transmission analysis on the cockpit sound absorption system of the commercial vehicle to be predicted, and determine the aerodynamic noise response prediction result of the entire commercial vehicle to be predicted at the human ear.

[0033] The commercial vehicle to be predicted can be a commercial vehicle for which aerodynamic noise prediction is to be performed, such as a truck or minivan. External noise sources can be noise sources generated externally by the commercial vehicle. Due to the large size and numerous exterior accessories of commercial vehicles, external aerodynamic noise sources are numerous. For example, external noise sources include air conditioning vents and pressure relief valves, vehicle styling and exterior accessories, fan systems, intake and exhaust systems, chassis and trailer components, and air conditioning duct blower components.

[0034] Among them, the aerodynamic noise prediction results can include sound pressure level, speech clarity, sound loudness, and sound mapping cloud maps at various vehicle locations.

[0035] In an optional embodiment, determining the aerodynamic noise prediction results of the commercial vehicle to be predicted under external noise sources includes: determining the aerodynamic noise prediction results of the commercial vehicle to be predicted under the whole vehicle styling and exterior accessories; and, determining the aerodynamic noise prediction results of the commercial vehicle to be predicted under the fan system; and, determining the aerodynamic noise prediction results of the commercial vehicle to be predicted under the intake and exhaust system; and, determining the aerodynamic noise prediction results of the commercial vehicle to be predicted under the chassis and trailer components; and, determining the aerodynamic noise prediction results of the commercial vehicle to be predicted under the air-conditioning duct fan components; and, determining the aerodynamic noise prediction results of the commercial vehicle to be predicted under the air-conditioning outlet and pressure relief valve.

[0036] In terms of vehicle styling and exterior accessories, vehicle styling primarily includes the shape and lines of the commercial vehicle body, front bumper, lights, wheels, grille design, and the location of mounting holes and gaps between components. Commercial vehicle exterior accessories primarily include sun visors, rearview mirrors, blind spot mirrors, front lower mirrors, antennas, windshield deflectors, wipers, front handlebars, external speakers, LiDAR, and cameras. The styling and exterior accessories of commercial vehicles are the primary sources of aerodynamic noise.

[0037] Construct simulation model structures for the vehicle's exterior styling, exterior accessories, wheels (i.e., wheel cavities), and glass. Label critical noise areas, for example, label exterior accessories as key noise analysis areas. Refine the model structure of exterior accessories, for example, retaining gaps between shells and mounting holes. Other non-critical areas, such as the chassis, can be simplified. Refinement can be achieved by partially encrypting the mesh in the component model structure areas that require refinement. Model simulation construction can be completed using existing simulations, including mesh division, mesh encryption in key areas, and model parameter extraction.

[0038] It should be noted that during the process of simulating and calculating the aerodynamic noise of the entire vehicle shape and exterior trim, the noise can be divided into two parts: one is the flow-induced noise caused by the airflow impacting the cab, and the other is the acoustic noise caused by the mutual disturbance of the airflow to form a noise source and then continue to be transmitted.

[0039] Specifically, flow-induced noise can be simulated using transient CFD (Computational Fluid Dynamics) simulations based on the aforementioned simulation model structure and other parameters. Surface pressure pulsations are extracted and surface pressure fluctuations of exterior accessories are monitored to generate flow-induced noise predictions. Acoustic-induced noise can also be simulated using CAA (Computational Aeroacoustics) or BEM (Boundary Element Method) methods, based on the aforementioned simulation model structure and other parameters, to simulate the propagation of sound waves in a fluid. Modeling for vehicle aerodynamic noise simulation and prediction is performed using existing simulation modeling software, and the solver is used to perform the simulation calculations. Acoustic processing software is also used to perform aerodynamic noise predictions, including sound source extraction and wavenumber decomposition, during the simulation. The noise prediction results for flow-induced and acoustic-induced noise are combined to obtain the aerodynamic noise prediction results for the commercial vehicle under consideration, considering the vehicle's overall design and exterior accessories.

[0040] For the aerodynamic noise simulation prediction of the commercial vehicle to be predicted under the fan system, in an optional embodiment, the aerodynamic noise prediction result of the commercial vehicle to be predicted under the fan system is determined, including: determining the system structure data and system parameter data of the fan system; determining the first noise simulation area according to the fan diameter in the fan system; and determining the second noise simulation area according to the relative position between the fan blades and the wind shield in the fan system; generating a target noise simulation area including the first noise simulation area and the second noise simulation area; and determining the aerodynamic noise prediction result of the commercial vehicle to be predicted in the target noise simulation area of the fan system based on a preset aerodynamic noise simulation analysis model according to the system structure data and system parameter data of the fan system.

[0041] Among them, the fan system mainly includes blades, impellers, wind shields, brackets and hubs, among which the blades are rotating parts and the others are fixed parts.

[0042] Perform model structure simulation on the fan system to obtain the system structure data of the fan system. The system parameter data of the fan system may include the number of blades, fan speed, rotating coordinate system and fan system diameter, etc. According to the diameter of the fan in the fan system, the fan operating range can be determined, and the fan operating range is determined as the first noise simulation area. Since the airflow disturbance intensity caused by the gap between the fan blades and the wind shield in the fan system is relatively large, it is the main source area of aerodynamic noise. Therefore, the gap between the fan blades and the wind shield in the fan system is used as the second noise simulation area. Generate a target noise simulation area including the first noise simulation area and the second noise simulation area, and the target noise simulation area is the key simulation area of aerodynamic noise. During the simulation process, the target noise simulation area can be locally encrypted.

[0043] The aerodynamic noise simulation analysis model may be an existing aerodynamic noise simulation prediction software or simulation model, or a pre-trained neural network model for aerodynamic noise simulation analysis.

[0044] The fan system's structural data, system parameter data, target noise simulation area, and fan system material properties, such as blade material, are used as input parameters for the simulation analysis model. The fan system's structural data is divided into mesh regions based on a mesh generation strategy, and the target noise simulation area is locally refined. An aerodynamic noise simulation analysis model is used to predict aerodynamic noise, yielding predictions for the commercial vehicle within the fan system's target noise simulation area.

[0045] Regarding the prediction of aerodynamic noise of a commercial vehicle to be predicted under an intake and exhaust system, in an optional embodiment, determining a prediction result of aerodynamic noise of the commercial vehicle to be predicted under the intake and exhaust system includes: determining system structure data and system parameter data of the intake and exhaust system; extracting boundary parameters of the intake and exhaust system to determine system boundary data of the intake and exhaust system; and determining a prediction result of aerodynamic noise of the commercial vehicle to be predicted under the intake and exhaust system based on the system structure data, system parameter data, and system boundary data of the intake and exhaust system.

[0046] The intake and exhaust systems include the intake and exhaust systems, and the aerodynamic noise prediction method for the intake system is similar to that for the exhaust system. The intake system includes the intake pipe, intake manifold, and turbocharger, with intake locations including front, rear, and bottom. The exhaust system includes the exhaust pipe, exhaust manifold, muffler, heat shield, and tail pipe. The aforementioned pipes and turbocharger are the primary noise sources, while the air filter, heat shield, and muffler are sound-absorbing materials. Therefore, the noise analysis of the intake and exhaust systems needs to consider acoustic transmission losses.

[0047] Based on the aforementioned intake and exhaust system structures, a structural simulation model is constructed to obtain the corresponding system structure data for the intake and exhaust systems. System parameter data can be material property parameters for the intake and exhaust systems. The boundaries of the intake and exhaust systems primarily include inlets, outlets, and walls, as well as the boundaries of the sound-absorbing material surface. Extracting boundary parameters for the intake and exhaust systems ensures the accuracy of subsequent intake and exhaust boundary parameter input and the authenticity of acoustic transmission.

[0048] The intake and exhaust system's boundary data can include pressure, temperature, flow rate, and other parameters, along with gas parameters such as density and viscosity. Furthermore, the acoustic properties of the sound-absorbing material, such as absorption coefficient, flow resistivity, and porosity, are defined. Combining the intake and exhaust system's structure data, system parameters, and boundary data, an aerodynamic noise simulation analysis model is employed to predict the aerodynamic noise of the commercial vehicle in the intake and exhaust system. The predicted aerodynamic noise results are then generated.

[0049] Regarding the prediction of aerodynamic noise of a commercial vehicle under the chassis and trailer components, commercial vehicles have a relatively complex chassis structure, which is also one of the influencing factors of external noise sources during vehicle driving. Therefore, when predicting the aerodynamic noise of a commercial vehicle, it is necessary to consider the chassis and trailer components to improve the accuracy of the aerodynamic noise prediction of the commercial vehicle.

[0050] Components such as chassis and trailers do not involve rotating noise sources, pipe noise sources, or sound-absorbing materials, and therefore are predicted in a similar manner to styling and exterior components. Chassis aerodynamic noise primarily results from the interaction between airflow and chassis components during the operation of a commercial vehicle. These components primarily include the chassis bottom, cabin interior, commercial vehicle underbody panels, suspension systems, and transmission systems. Aerodynamic noise generated by components such as trailers includes: noise generated by the separation and reattachment of airflow between the front of the trailer and the cab or fairing; noise generated by the interaction between airflow on the sides of the trailer and components such as the trailer box and side skirts; noise generated by airflow separation and vortexes at the rear of the trailer; and noise generated by the interaction between airflow at the bottom of the trailer and components such as the suspension system and axles.

[0051] A structural simulation model of the above-mentioned chassis, trailer and other components is constructed, and the key areas are refined. Based on the refined structural simulation model, the aerodynamic noise simulation analysis model is used to predict the aerodynamic noise of the chassis, trailer and other components, and the aerodynamic noise prediction results of the chassis and trailer components are obtained.

[0052] To predict the aerodynamic noise of a commercial vehicle's air conditioning duct fan components, the air conditioning system is complex, and the components most relevant to aerodynamic noise are the air conditioning duct fan components. These components primarily include the blower, air filter, air duct, and air outlet. Blowers come in both centrifugal and axial types. A structural simulation model can be constructed based on the relevant components of the aforementioned air conditioning duct components to ensure data accuracy and completeness. This structural simulation model then serves as the input parameter for the aerodynamic noise simulation analysis model. For the aerodynamic noise of the exterior air conditioning duct fan components, operating parameters of the blower and fan components, such as rotational speed and required operating conditions, must be determined. Next, boundary conditions must be set for the housing, air filter inlet, and air duct piping. These boundary conditions, such as wind speed, temperature, and pressure, must be set for the inlet, outlet, and wall surfaces. Finally, the inherent sound absorption properties of the air conditioning duct fan components are further determined, their properties are correctly defined in the acoustic simulation, noise and acoustic transfer calculations are performed based on the aerodynamic noise simulation analysis model, and the aerodynamic noise prediction results are output.

[0053] To predict the aerodynamic noise of the commercial vehicle's air conditioning duct fan components, external noise sources must pass through the sound insulation of the transmission path before they can affect the interior of the cabin. Aerodynamic noise generated by channels such as the air conditioning vents and pressure relief valves directly affects the cabin and therefore needs to be analyzed as an internal noise source. To address the aerodynamic noise of the air conditioning vents and pressure relief valves, the air flow rate of the air conditioning outlet is first analyzed to obtain the gas flow characteristics. The parameters and structural characteristics of the air conditioning vents are then determined to construct a structural simulation model. Next, the air outlet boundaries are defined to simulate the actual impact of multiple air conditioning vents on the cabin interior. Finally, based on the aforementioned structural simulation model, the air outlet boundary conditions, and the gas flow characteristics, the aerodynamic noise simulation analysis model performs noise and acoustic transmission calculations, outputting aerodynamic noise prediction results.

[0054] By determining the aerodynamic noise prediction results for the commercial vehicle under consideration, including external noise sources such as the vehicle's styling and exterior accessories, the fan system, the intake and exhaust system, and the chassis and trailer components, the comprehensiveness of the aerodynamic noise analysis of the commercial vehicle's external noise sources is improved. Unlike other types of vehicles, commercial vehicles have a large number of external components that affect the noise response at the human ear. Therefore, when predicting the noise response at the human ear of a commercial vehicle, it is necessary to comprehensively and accurately consider the role and impact of external noise sources. This will further improve the noise response prediction results of commercial vehicles at the human ear and provide an accurate data source for subsequent analysis of the noise response prediction results.

[0055] The noise prediction results of the external noise sources are input into the sealing system and sound insulation system of the commercial vehicle to be predicted, and the noise loss in the sealing system and sound insulation system is determined, thereby predicting the noise attenuation or residual result after the noise is transmitted from the sealing system and sound insulation system.

[0056] In an optional embodiment, based on the noise prediction results of the external noise sources, an aerodynamic noise transfer analysis is performed on the sealing system and the sound insulation system of the commercial vehicle to be predicted to determine the aerodynamic noise transfer results, including: determining the material properties corresponding to the sealing system and the sound insulation system respectively; constructing a whole vehicle simulation model of the commercial vehicle to be predicted, and locally refining the sealing system model part and the simulation system model part in the whole vehicle simulation model to obtain a refined whole vehicle simulation model; based on the preset aerodynamic noise simulation analysis model, according to the material properties corresponding to the sealing system and the sound insulation system respectively, the aerodynamic noise prediction results of the external noise sources and the refined whole vehicle simulation model, the aerodynamic noise transfer results output by the model are obtained.

[0057] It's important to note that the primary function of sealing and sound insulation systems in commercial vehicles is sound insulation. Since commercial vehicle cockpits have numerous surfaces, the sound insulation panels are comprised of numerous components, including the windshield, side windows, doors, sunroof, rear window, blind-spot windows, roof, floor, and rear surround. These materials vary in properties, resulting in varying sound insulation performance. Furthermore, sealing systems within certain panels and gaps, such as door seals, door opening seals, window glass cutouts, and windshield soundproofing sealant, also have a certain impact on sound insulation performance. Therefore, for commercial vehicles, the role of sealing and sound insulation systems in the aerodynamic noise transmission path is relatively complex and requires separate analysis.

[0058] For sealing and sound insulation systems, the primary input parameters during aerodynamic noise transmission analysis are material properties, such as the inherent properties of panel materials for doors, roofs, and cabins; the material properties of attached sound insulation cotton; the thickness, density, sound absorption characteristics, and interlayer properties of glass; and the sound insulation performance of sealing strips or sealants under certain conditions. These properties can be input from a material library or from individual test results to ensure the accuracy of the vehicle's sound insulation and sealing systems and the accuracy of simulation predictions. The material properties of these sealing and sound insulation systems, along with the aerodynamic noise prediction results from external noise sources, are used as input parameters for the aerodynamic noise simulation analysis model. This model then outputs the aerodynamic noise transmission results.

[0059] In an optional embodiment, based on the aerodynamic noise transmission results and the aerodynamic noise prediction results of the air-conditioning outlet and the pressure relief valve, an aerodynamic noise transmission analysis is performed on the cockpit sound absorption system of the commercial vehicle to be predicted, and the aerodynamic noise response prediction results of the whole vehicle of the commercial vehicle to be predicted at the human ear are determined, including: determining the material properties of the cockpit sound absorption system; constructing a whole vehicle simulation model of the commercial vehicle to be predicted, and locally refining the cockpit sound absorption system model part in the whole vehicle simulation model to obtain a refined whole vehicle simulation model; based on the aerodynamic noise transmission results and the aerodynamic noise prediction results of the air-conditioning outlet and the pressure relief valve, and the material properties of the cockpit sound absorption system, and based on a preset aerodynamic noise simulation analysis model, the aerodynamic noise response prediction results of the whole vehicle of the commercial vehicle to be predicted at the human ear are obtained as output by the model.

[0060] The vehicle simulation model can be constructed using existing simulation software. During the cockpit sound absorption system simulation, the cockpit sound absorption system model within the vehicle simulation model is locally refined to obtain a refined vehicle simulation model. This refined vehicle simulation model is then used to predict and analyze the vehicle's aerodynamic noise response at the human ear.

[0061] Understandably, the noise sources inside and outside a commercial vehicle cockpit differ from the aerodynamic noise perceived by the human ear, primarily due to the influence of the cockpit's sound-absorbing materials. These materials primarily include seats, berths, interior trim, flooring, door linings, and firewalls. In addition to these components, the cockpit sound absorption system exhibits an overall acoustic transmission characteristic, which can be derived by coupling multiple material parameters or directly derived through experimental testing. Incorporating these acoustic transmission characteristics into this predictive analysis process ensures the accuracy of the aerodynamic noise response at the driver's ear.

[0062] Furthermore, external noise sources in commercial vehicles must pass through the sound insulation of the transmission path before they can reach the interior of the cockpit. Aerodynamic noise generated by channels such as air conditioning vents and pressure relief valves directly impacts the interior of the cockpit and therefore needs to be analyzed as an internal noise source. Therefore, the aerodynamic noise transmission results of the sealing and sound insulation systems, as well as the aerodynamic noise prediction results of the air conditioning vents and pressure relief valves, are used as input parameters for the aerodynamic noise response prediction analysis process at the human ear. Noise loss or noise transmission is calculated to obtain the predicted aerodynamic noise response of the commercial vehicle at the human ear.

[0063] Optionally, the cockpit's overall acoustic transmission characteristics, which can be derived from the coupling of multiple material parameters or directly obtained through experimental testing, are incorporated into the aerodynamic noise simulation model's aerodynamic noise response prediction process to ensure the accuracy of the aerodynamic noise response at the pilot's ear.

[0064] The technical solution of the embodiment of the present invention determines the aerodynamic noise prediction results of the commercial vehicle to be predicted under external noise sources, performs aerodynamic noise transmission analysis on the sealing system and sound insulation system of the commercial vehicle to be predicted based on the noise prediction results of the external noise sources, determines the aerodynamic noise transmission results, and performs aerodynamic noise transmission analysis on the cockpit sound absorption system of the commercial vehicle to be predicted based on the aerodynamic noise transmission results and the aerodynamic noise prediction results of the air conditioning outlet and pressure relief valve, thereby determining the aerodynamic noise response prediction results of the entire commercial vehicle to be predicted at the human ear. The above technical solution combines the characteristics of commercial vehicles, comprehensively considers and covers the aerodynamic noise prediction results of all external noise sources that can generate noise, and effectively combines the aerodynamic noise prediction results with the sealing system, sound insulation system, and cockpit sound absorption system to determine the noise attenuation or noise loss during the transmission process, thereby improving the accurate prediction, simulation, or simulation of the aerodynamic noise response of the commercial vehicle to the driver's ear during vehicle driving, ensuring both the comprehensiveness of aerodynamic noise and the authenticity of the aerodynamic noise prediction of commercial vehicles.

[0065] Example 2

[0066] Figure 2 This is a flow chart of a method for predicting aerodynamic noise of a vehicle provided in the second embodiment of the present invention. This embodiment provides a preferred example based on the above embodiment.

[0067] like Figure 2 As shown, the method includes the following specific steps:

[0068] Step 211 : Perform an aerodynamic noise analysis on the commercial vehicle based on the vehicle's overall shape and exterior accessories to obtain an aerodynamic noise prediction result.

[0069] Regarding styling and exterior accessory aerodynamic noise, styling primarily encompasses the commercial vehicle's body shape and lines, front bumper, lights, wheels, and grille. Mounting holes and gaps between components also constitute styling features and are key areas of analysis. The combination of these components constitutes commercial vehicle styling. Unlike passenger vehicles, some exterior accessories are unique to commercial vehicles, primarily including sun visors, rearview mirrors, blind spot mirrors, front lower mirrors, antennas, wind deflectors, wipers, front handlebars, external speakers, LiDAR, and cameras.

[0070] Commercial vehicle styling and exterior accessories are the source of pulsating noise. For aerodynamic noise analysis of styling and exterior accessories, first, data input is required, including the vehicle's exterior styling, exterior trim, wheels and wheel wells, and glass digital models. Secondly, key noise areas are analyzed. For example, exterior accessories are the primary source of noise, requiring detailed modeling of these accessories. Certain mounting holes or gaps are known to be concentrated areas of aerodynamic noise, requiring additional aerodynamic simulation to ensure accuracy close to real-world operating conditions. Next, aerodynamic noise calculations are performed on these commercial vehicle styling and exterior accessories. This simulation typically involves two components: flow-induced noise caused by airflow impacting the cab, and acoustic noise generated by the interplay of airflow and subsequent transmission. Finally, the flow-induced and acoustic noise components together constitute the aerodynamic noise source for the styling and exterior accessories, resulting in a predicted aerodynamic noise output for the styling and exterior accessories.

[0071] Step 212: Perform aerodynamic noise analysis on the commercial vehicle under the fan system to obtain an aerodynamic noise prediction result.

[0072] The fan system mainly includes blades, impellers, wind shields, brackets, hubs, etc., among which the blades are rotating parts and the others are fixed parts. For the analysis of aerodynamic noise of the fan system: First, input the structural data of the fan system to ensure data accuracy and that the blades do not interfere with other fixed parts. Secondly, input the fan system parameters, such as the number of blades, fan speed, rotating coordinate system, fan system diameter, etc., as the working condition input for the simulation analysis. Then, based on parameters such as the fan diameter, the blade rotation area can be obtained and the noise calculation area can be generated. At the same time, for the gap between the fan blades and the wind shield in the fan system, due to the large airflow disturbance intensity, it is the key analysis area for aerodynamic noise. Finally, the above areas are analyzed and calculated, and the aerodynamic noise prediction results of the fan system are output.

[0073] Step 213: Perform aerodynamic noise analysis on the commercial vehicle in the intake system and exhaust system to obtain aerodynamic noise prediction results.

[0074] The aerodynamic noise simulation and analysis process for the intake and exhaust systems of commercial vehicles is similar. The intake system includes the air filter, intake pipe, intake manifold, and turbocharger, with intake locations ranging from front, rear, and bottom. The exhaust system includes the exhaust pipe, exhaust manifold, muffler, heat shield, and tailpipe. The piping and turbocharger are the primary noise sources, while the air filter, heat shield, and muffler are sound-absorbing materials. Therefore, the noise analysis of the intake and exhaust systems requires consideration of acoustic transmission losses. For intake and exhaust system aerodynamic noise analysis, first, input the near-exhaust system structural data to ensure data accuracy and completeness. Intake and exhaust boundary conditions are extracted, primarily including inlet, outlet, wall, and sound-absorbing material surface boundaries, to ensure the accuracy of subsequent intake and exhaust parameter input and the fidelity of acoustic transmission. Next, based on the extracted intake and exhaust system boundaries, initial conditions are defined, such as pressure, temperature, and flow rate / velocity. Gas parameters such as density and viscosity are also set. Define the acoustic properties of the sound-absorbing material, such as absorption coefficient, flow resistivity, porosity, etc. Finally, perform an aerodynamic analysis of the aforementioned pipeline and turbocharger area, and perform acoustic transmission calculations based on the sound-absorbing material to output aerodynamic noise prediction results.

[0075] Step 214 : Perform aerodynamic noise analysis on the commercial vehicle under the chassis and the hanging components to obtain aerodynamic noise prediction results.

[0076] Commercial vehicles have relatively complex chassis structures and special trailers and other components. The chassis and trailers and other components do not involve rotating noise sources, pipe noise sources and sound-absorbing materials, so the mode of action is similar to that of styling wind noise. Chassis aerodynamic noise is mainly the noise generated by the interaction between airflow and chassis components during the driving of commercial vehicles. The components mainly include: the bottom of the chassis, the interior of the cabin, the bottom guard plate of the commercial vehicle, the suspension system, the transmission system, etc. The aerodynamic noise generated by trailers and other components includes: the noise generated by the separation and reattachment of the airflow between the front end of the trailer and the cab or the fairing, the noise generated by the interaction between the airflow on the side of the trailer and the trailer body, side skirts and other components, the noise generated by the separation and vortex of the airflow at the rear of the trailer, and the noise generated by the interaction between the airflow at the bottom of the trailer and the suspension system, axles and other components.

[0077] Step 215: Perform aerodynamic noise analysis on the commercial vehicle under the air conditioning duct fan component to obtain an aerodynamic noise prediction result.

[0078] Commercial vehicle air conditioning systems consist of many components. The main components related to aerodynamic noise include: blowers, air filters, air ducts, air outlets, etc. Blowers include centrifugal and axial flow types, and simulation models can be set according to actual conditions. For air conditioning system aerodynamic noise analysis: First, input the air conditioning system aerodynamic noise related structure to ensure data accuracy and completeness. Secondly, for the aerodynamic noise of the outdoor air conditioning, first input the operating parameters of components such as the blower or fan, such as rotation speed, required operating conditions, etc. Next, set boundary conditions for the housing, air filter inlet, and air duct pipeline, and set boundary conditions such as inlet, outlet, and wall (such as wind speed, temperature, and pressure). Finally, consider the air conditioning system's own sound absorption properties, correctly define its properties in the acoustic simulation, perform noise and acoustic transmission calculations, and output acoustic aerodynamic noise results.

[0079] Step 216: Perform aerodynamic noise analysis on the commercial vehicle at the air-conditioning outlet and under the pressure relief valve to obtain aerodynamic noise prediction results.

[0080] For the aerodynamic noise of the interior air outlets, we first used the outlet wind analysis results to obtain the gas flow characteristics and input the air outlet parameters and structural features. Next, we defined the air outlet boundaries and simulated the actual impact of multiple air outlets on the interior of the cab. Finally, we calculated the noise of the air conditioning outlet in the cockpit. We then obtained the combined aerodynamic noise sources generated by the air conditioning system inside and outside the commercial vehicle and output the aerodynamic noise results.

[0081] Step 22: Based on the aerodynamic noise prediction results of S211 to S125, perform aerodynamic noise transmission analysis on the sealing system and sound insulation system of the commercial vehicle to obtain aerodynamic noise transmission results.

[0082] The primary function of commercial vehicle sealing and sound insulation systems is soundproofing. Since commercial vehicle cockpits have a large surface area, the soundproofing panels are composed of numerous components, including the windshield, side windows, doors, sunroof, rear window, blind-spot windows, roof, floor, and rear panel. These various materials have varying properties, resulting in varying soundproofing performance. Furthermore, sealing systems within certain panels and gaps, such as door and opening seals, window glass cutouts, and windshield soundproofing sealant, also have a certain impact on soundproofing performance. Therefore, for commercial vehicles, the role of sealing and soundproofing systems in the aerodynamic noise transmission path is relatively complex and requires separate analysis.

[0083] The analysis of aerodynamic noise transmission in sealing and sound insulation systems primarily involves parameter input and property definition. These include the inherent properties of panel materials for doors, roofs, and cabins; the material properties of attached sound insulation cotton; the thickness, density, sound absorption characteristics, and interlayer properties of glass; and the sound insulation performance of sealing strips or sealants under certain conditions. These properties can be input from a material library or from individual test results to ensure the accuracy of the vehicle's sound insulation and sealing systems and the precision of simulation predictions.

[0084] Step 23: Based on the aerodynamic noise prediction results of the air conditioning outlet and the pressure relief valve in S216 and the aerodynamic noise transmission results in S22, an aerodynamic noise transmission analysis is performed on the cockpit sound absorption system of the commercial vehicle to obtain a predicted aerodynamic noise response of the entire commercial vehicle at the human ear.

[0085] Noise sources outside a commercial vehicle must pass through the sound insulation of the transmission path before they can reach the interior of the cockpit. Aerodynamic noise generated by channels such as air conditioning vents and pressure relief valves directly impacts the cockpit and therefore needs to be analyzed as an internal noise source. The noise from both inside and outside the cockpit of a commercial vehicle differs from the aerodynamic noise perceived by the human ear, primarily due to the influence of the cockpit's sound-absorbing materials. These materials primarily comprise seats, berths, interior panels, flooring, door inner panels, and firewalls. Integrating these components reveals the overall acoustic transmission characteristics of the cockpit. These characteristics can be derived by coupling multiple material parameters or directly derived through experimental testing. Integrating these in-cabin acoustic transmission characteristics into this predictive analysis process ensures the accuracy of the aerodynamic noise response at the driver's ear.

[0086] Based on a variety of external aerodynamic noise sources, transmission paths, internal noise sources, sound absorption and insulation characteristics, etc., the real aerodynamic noise feedback at the driver's ear is obtained. The above-mentioned aerodynamic noise prediction analysis is based on the existing vehicle aerodynamic noise simulation method, and the simulation model parameters are set, mainly including: simulation time, boundary properties, physical conditions, solution parameters, measurement area parameters, vehicle posture and yaw angle (due to the large number of commercial vehicles with two, three, and multiple axles, the front and rear axles are selected as posture adjustment references to make the vehicle posture conform to the state under real weight distribution conditions), wheel settings (only styling wind noise is considered, not tire noise, so the wheels are fixed), etc. The prediction analysis is completed using methods such as computational aeroacoustics (CAA) and statistical energy analysis (SEA).

[0087] Example 3

[0088] Figure 3This is a schematic diagram of the structure of a vehicle aerodynamic noise prediction device provided in the third embodiment of the present invention. The vehicle aerodynamic noise prediction device provided in the embodiment of the present invention is applicable to the case where the aerodynamic noise response of the vehicle at the driver's ear during the driving of a commercial vehicle is predicted. The vehicle aerodynamic noise prediction device can be implemented in the form of hardware and / or software, such as Figure 3 As shown, the device specifically includes: an external noise prediction module 301, a noise transfer analysis module 302 and a noise response prediction module 303.

[0089] The external noise prediction module 301 is used to determine the aerodynamic noise prediction result of the commercial vehicle to be predicted under the external noise source; the external noise source includes the air outlet of the air conditioner and the pressure relief valve;

[0090] A noise transfer analysis module 302 is configured to perform an aerodynamic noise transfer analysis on the sealing system and the sound insulation system of the commercial vehicle to be predicted based on the noise prediction result of the external noise source, and determine an aerodynamic noise transfer result;

[0091] The noise response prediction module 303 is configured to perform an aerodynamic noise transmission analysis on the cockpit sound absorption system of the commercial vehicle to be predicted based on the aerodynamic noise transmission result and the aerodynamic noise prediction results of the air conditioning outlet and the pressure relief valve, and determine a predicted aerodynamic noise response result of the entire commercial vehicle to be predicted at the human ear.

[0092] The technical solution of the embodiment of the present invention determines the aerodynamic noise prediction results of the commercial vehicle to be predicted under external noise sources, performs aerodynamic noise transmission analysis on the sealing system and sound insulation system of the commercial vehicle to be predicted based on the noise prediction results of the external noise sources, determines the aerodynamic noise transmission results, and performs aerodynamic noise transmission analysis on the cockpit sound absorption system of the commercial vehicle to be predicted based on the aerodynamic noise transmission results and the aerodynamic noise prediction results of the air conditioning outlet and pressure relief valve, thereby determining the aerodynamic noise response prediction results of the entire commercial vehicle to be predicted at the human ear. The above technical solution combines the characteristics of commercial vehicles, comprehensively considers and covers the aerodynamic noise prediction results of all external noise sources that can generate noise, and effectively combines the aerodynamic noise prediction results with the sealing system, sound insulation system, and cockpit sound absorption system to determine the noise attenuation or noise loss during the transmission process, thereby improving the accurate prediction, simulation, or simulation of the aerodynamic noise response of the commercial vehicle to the driver's ear during vehicle driving, ensuring both the comprehensiveness of aerodynamic noise and the authenticity of the aerodynamic noise prediction of commercial vehicles.

[0093] Optionally, the noise transfer analysis module 302 is specifically configured to:

[0094] Determining the material properties corresponding to the sealing system and the sound insulation system respectively;

[0095] Constructing a whole vehicle simulation model of the commercial vehicle to be predicted, and locally refining the sealing system model part and the simulation system model part in the whole vehicle simulation model to obtain a refined whole vehicle simulation model;

[0096] According to the material properties corresponding to the sealing system and the sound insulation system, the aerodynamic noise prediction results of the external noise source and the refined vehicle simulation model, based on the preset aerodynamic noise simulation analysis model, the aerodynamic noise transmission results output by the model are obtained.

[0097] Optionally, the noise response prediction module 303 is specifically configured to:

[0098] determining material properties of the cockpit sound absorption system;

[0099] Constructing a whole vehicle simulation model of the commercial vehicle to be predicted, and locally refining a cockpit sound absorption system model portion of the whole vehicle simulation model to obtain a refined whole vehicle simulation model;

[0100] Based on the aerodynamic noise transmission results, the aerodynamic noise prediction results of the air conditioning outlet and the pressure relief valve, and the material properties of the cockpit sound absorption system, and based on a preset aerodynamic noise simulation analysis model, a prediction result of the aerodynamic noise response of the entire commercial vehicle to be predicted at the human ear is obtained as output by the model.

[0101] Optionally, the external noise sources further include the vehicle styling and exterior accessories, the fan system, the intake and exhaust system, the chassis and trailer components, and the air conditioning duct fan components; accordingly, the external noise prediction module 301 includes:

[0102] The first noise prediction unit is used to determine the aerodynamic noise prediction result of the commercial vehicle to be predicted under the vehicle shape and exterior accessories; and

[0103] A second noise prediction unit is configured to determine a prediction result of aerodynamic noise of a commercial vehicle to be predicted under a fan system; and

[0104] A third noise prediction unit is used to determine a prediction result of aerodynamic noise of a commercial vehicle to be predicted under an intake and exhaust system; and

[0105] a fourth noise prediction unit, configured to determine a prediction result of aerodynamic noise of the commercial vehicle to be predicted under the chassis and trailer components; and

[0106] a fifth noise prediction unit, configured to determine a prediction result of aerodynamic noise of a commercial vehicle to be predicted under an air conditioning duct fan component; and

[0107] The sixth noise prediction unit is used to determine the aerodynamic noise prediction result of the commercial vehicle to be predicted under the air-conditioning outlet and the pressure relief valve.

[0108] Optionally, the second noise prediction unit is specifically configured to:

[0109] Determining system structure data and system parameter data of the fan system;

[0110] determining a first noise simulation area according to a fan diameter in the fan system; and

[0111] determining a second noise simulation area according to the relative positions of the fan blades and the wind shield in the fan system;

[0112] generating a target noise simulation area including the first noise simulation area and the second noise simulation area;

[0113] According to the system structure data and system parameter data of the fan system and based on a preset aerodynamic noise simulation analysis model, an aerodynamic noise prediction result of the commercial vehicle to be predicted in a target noise simulation area of the fan system is determined.

[0114] Optionally, the third noise prediction unit is specifically configured to:

[0115] determining system structure data and system parameter data of the intake and exhaust system;

[0116] Extracting boundary parameters of the intake and exhaust system to determine system boundary data of the intake and exhaust system;

[0117] The aerodynamic noise prediction result of the commercial vehicle to be predicted in the intake and exhaust system is determined according to the system structure data, system parameter data and system boundary data of the intake and exhaust system.

[0118] The vehicle aerodynamic noise prediction device provided in the embodiment of the present invention can execute the vehicle aerodynamic noise prediction method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0119] Example 4

[0120] Figure 4 A schematic diagram of the structure of an electronic device 40 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0121] like Figure 4 As shown, the electronic device 40 includes at least one processor 41 and a memory, such as a read-only memory (ROM) 42, a random access memory (RAM) 43, etc., which is communicatively connected to the at least one processor 41. The memory stores a computer program that can be executed by the at least one processor, and the processor 41 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 42 or the computer program loaded from the storage unit 48 into the random access memory (RAM) 43. Various programs and data required for the operation of the electronic device 40 can also be stored in the RAM 43. The processor 41, ROM 42, and RAM 43 are connected to each other via a bus 44. An input / output (I / O) interface 45 is also connected to the bus 44.

[0122] Multiple components in the electronic device 40 are connected to the I / O interface 45, including an input unit 46, such as a keyboard, a mouse, etc.; an output unit 47, such as various types of displays, speakers, etc.; a storage unit 48, such as a magnetic disk, an optical disk, etc.; and a communication unit 49, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 49 allows the electronic device 40 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0123] Processor 41 can be any general-purpose and / or specialized processing component with processing and computing capabilities. Examples of processor 41 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any other suitable processor, controller, or microcontroller. Processor 41 executes the various methods and processes described above, such as the vehicle aerodynamic noise prediction method.

[0124] In some embodiments, the whole-vehicle aerodynamic noise prediction method can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as storage unit 48. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 40 via ROM 42 and / or communication unit 49. When the computer program is loaded into RAM 43 and executed by processor 41, one or more steps of the whole-vehicle aerodynamic noise prediction method described above can be performed. Alternatively, in other embodiments, processor 41 can be configured to execute the whole-vehicle aerodynamic noise prediction method in any other appropriate manner (e.g., via firmware).

[0125] Various embodiments of the systems and techniques described herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system-on-chip systems (SOCs), programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0126] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when the computer program is executed by the processor, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The computer program may be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0127] In the context of the present invention, computer-readable storage media can be tangible media that can contain or store a computer program for use with an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. Computer-readable storage media can include but are not limited to electronic, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, computer-readable storage media can be machine-readable signal media. More specific examples of machine-readable storage media can include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0128] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0129] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0130] A computing system may include clients and servers. The clients and servers are typically remote from each other and typically interact via a communication network. This client-server relationship arises through computer programs running on the respective computers, creating a client-server relationship. The server may be a cloud server, also known as a cloud computing server or cloud host. This server is a hosting product within the cloud computing service ecosystem that addresses the management difficulties and limited scalability of traditional physical hosting and VPS services.

[0131] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in the present invention can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved. This is not limited herein.

[0132] The above specific embodiments do not limit the scope of protection of the present invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention are intended to be included within the scope of protection of the present invention.

Claims

1. A method for predicting vehicle aerodynamic noise, characterized in that: include: Determine the aerodynamic noise prediction result of the commercial vehicle to be predicted under the external noise source; the external noise source includes the air outlet of the air conditioner and the pressure relief valve; performing an aerodynamic noise transmission analysis on the sealing system and the sound insulation system of the commercial vehicle to be predicted based on the noise prediction result of the external noise source to determine an aerodynamic noise transmission result; Based on the aerodynamic noise transmission results and the aerodynamic noise prediction results of the air conditioning outlet and the pressure relief valve, an aerodynamic noise transmission analysis is performed on the cockpit sound absorption system of the commercial vehicle to be predicted, and a prediction result of the aerodynamic noise response of the entire commercial vehicle to be predicted at the human ear is determined.

2. The method according to claim 1, characterized in that The step of performing aerodynamic noise transmission analysis on the sealing system and the sound insulation system of the commercial vehicle to be predicted based on the noise prediction result of the external noise source to determine the aerodynamic noise transmission result includes: Determining the material properties corresponding to the sealing system and the sound insulation system respectively; Constructing a whole vehicle simulation model of the commercial vehicle to be predicted, and locally refining the sealing system model part and the simulation system model part in the whole vehicle simulation model to obtain a refined whole vehicle simulation model; According to the material properties corresponding to the sealing system and the sound insulation system, the aerodynamic noise prediction results of the external noise source and the refined vehicle simulation model, based on the preset aerodynamic noise simulation analysis model, the aerodynamic noise transmission results output by the model are obtained.

3. The method according to claim 1, characterized in that The method further comprises: performing an aerodynamic noise transmission analysis on the cockpit sound absorption system of the commercial vehicle to be predicted based on the aerodynamic noise transmission result and the aerodynamic noise prediction result of the air conditioning outlet and the pressure relief valve, and determining a predicted aerodynamic noise response result of the entire commercial vehicle to be predicted at the human ear. The method further comprises: determining material properties of the cockpit sound absorption system; Constructing a whole vehicle simulation model of the commercial vehicle to be predicted, and locally refining a cockpit sound absorption system model portion of the whole vehicle simulation model to obtain a refined whole vehicle simulation model; Based on the aerodynamic noise transmission results, the aerodynamic noise prediction results of the air conditioning outlet and the pressure relief valve, and the material properties of the cockpit sound absorption system, and based on a preset aerodynamic noise simulation analysis model, a prediction result of the aerodynamic noise response of the entire commercial vehicle to be predicted at the human ear is obtained as output by the model.

4. The method according to claim 1, wherein The external noise sources also include the vehicle styling and exterior accessories, fan system, intake and exhaust system, chassis and trailer components, and air conditioning duct fan components. Accordingly, determining the aerodynamic noise prediction results of the commercial vehicle to be predicted under the external noise sources includes: Determine the aerodynamic noise prediction results of the commercial vehicle to be predicted under the vehicle shape and exterior accessories; and Determine the aerodynamic noise prediction result of the commercial vehicle to be predicted under the fan system; and, Determine the aerodynamic noise prediction results of the commercial vehicle to be predicted under the intake and exhaust system; and Determine the aerodynamic noise prediction results of the commercial vehicle under the chassis and trailer components; and, Determine the aerodynamic noise prediction results of the commercial vehicle to be predicted under the air conditioning duct fan component; and, Determine the aerodynamic noise prediction results of the commercial vehicle to be predicted under the air conditioning outlet and pressure relief valve.

5. The method according to claim 4, characterized in that Determining the aerodynamic noise prediction result of the commercial vehicle to be predicted under the fan system includes: Determining system structure data and system parameter data of the fan system; determining a first noise simulation area according to a fan diameter in the fan system; and determining a second noise simulation area according to the relative positions of the fan blades and the wind shield in the fan system; generating a target noise simulation area including the first noise simulation area and the second noise simulation area; According to the system structure data and system parameter data of the fan system and based on a preset aerodynamic noise simulation analysis model, an aerodynamic noise prediction result of the commercial vehicle to be predicted in a target noise simulation area of the fan system is determined.

6. The method according to claim 4, characterized in that Determining the aerodynamic noise prediction result of the commercial vehicle to be predicted in the intake and exhaust system includes: determining system structure data and system parameter data of the intake and exhaust system; Extracting boundary parameters of the intake and exhaust system to determine system boundary data of the intake and exhaust system; The aerodynamic noise prediction result of the commercial vehicle to be predicted in the intake and exhaust system is determined according to the system structure data, system parameter data and system boundary data of the intake and exhaust system.

7. A vehicle aerodynamic noise prediction device, characterized in that: include: An external noise prediction module is used to determine the aerodynamic noise prediction results of the commercial vehicle to be predicted under external noise sources; the external noise sources include air conditioning outlets and pressure relief valves; a noise transfer analysis module, configured to perform an aerodynamic noise transfer analysis on the sealing system and the sound insulation system of the commercial vehicle to be predicted based on the noise prediction result of the external noise source, and determine an aerodynamic noise transfer result; a noise response prediction module for performing an aerodynamic noise transmission analysis on the cockpit sound absorption system of the commercial vehicle to be predicted based on the aerodynamic noise transmission result and the aerodynamic noise prediction results of the air conditioning outlet and the pressure relief valve, and determining a predicted aerodynamic noise response result of the entire commercial vehicle to be predicted at the human ear.

8. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the vehicle aerodynamic noise prediction method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the vehicle aerodynamic noise prediction method according to any one of claims 1 to 6 when executed.

10. A computer program product, characterized in that The computer program product includes a computer program, and when the computer program is executed by a processor, the computer program implements the method for predicting aerodynamic noise of a whole vehicle according to any one of claims 1 to 6.

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