Noise prediction method, device and equipment

Abstract

The invention relates to the technical field of automobile noise, in particular to a noise prediction method, device and equipment. The noise prediction method comprises the steps that noise prediction data of a range extender are acquired, and the noise prediction data comprise structural path noise prediction data and air path noise prediction data; according to the structure path noise prediction data and the air path noise prediction data, the constraint force and the sound load of the range extender are determined; and determining the noise characteristics of the range extender according to the noise prediction data, the constraining force and the acoustic load based on a CTPA method. According to the embodiment of the invention, the noise generated by the range extender under the transient working condition can be accurately predicted. Meanwhile, even if the structure of the passive component connected with the active component changes, bench test data and the constraining force and the acoustic load of the range extender can still be used, bench test does not need to be carried out again, and the test efficiency is improved.

Description

Technical Field

[0001] The present application relates to the field of automobile noise technology, and in particular to a noise prediction method, device and equipment. Background Art

[0002] In recent years, the research and development of hybrid vehicle range extenders has primarily focused on system integration and control, as well as the development of key components. However, research on their vibration and noise has received insufficient attention. A vehicle's noise, vibration, and harshness (NVH) performance is a primary factor affecting ride comfort. Furthermore, during parking conditions, the intermittent start-stop operation of the range extender significantly impacts the vehicle's NVH performance. Therefore, in-depth research and accurate prediction of the transient interior noise of hybrid vehicle range extenders has significant engineering value and practical significance.

[0003] In related technologies, in predicting the interior noise of extended-range hybrid vehicles, the main methods used are the Transfer Path Analysis (TPA) method based on whole vehicle testing and the prediction method based on simulation.

[0004] However, both the vehicle-based TPA method and the simulation-based prediction method will produce errors due to the inability to accurately predict the noise under transient conditions. Summary of the Invention

[0005] The embodiments of the present invention provide a noise prediction method, apparatus and device to solve the problem in the prior art that the noise under transient working conditions of a vehicle cannot be accurately predicted.

[0006] In a first aspect, an embodiment of the present invention provides a noise prediction method, the method comprising: Acquiring noise prediction data of the range extender, the noise prediction data including structure-path noise prediction data and air-path noise prediction data; determining a restraining force and an acoustic load of the range extender based on the structure-path noise prediction data and the air-path noise prediction data, respectively; Based on a component transfer path analysis (CTPA) method, the noise characteristics of the range extender are determined according to the noise prediction data, the restraining force, and the acoustic load.

[0007] Optionally, the noise prediction data includes operating condition data and a transfer function, and obtaining the noise prediction data of the range extender includes: Determining a first connection point and a first target point of the range extender under the test bench; Based on the test bench, obtaining structure-path noise prediction data and air-path noise prediction data of the range extender under the test bench according to the first connection point and the first target point; The structure-path noise data acquired based on the test bench includes a first transfer function, the air path noise data includes a second transfer function, and the noise prediction data acquired based on the test bench also includes first operating condition data; Determining a second connection point and a second target point of the range extender under the vehicle; Based on the entire vehicle, obtaining structure-path noise prediction data and air-path noise prediction data of the range extender under the entire vehicle according to the second connection point and the second target point; The structure-path noise data acquired based on the entire vehicle includes a third transfer function, a fourth transfer function, and a fifth transfer function, and the air path noise data includes a sixth transfer function.

[0008] Optional, including: The first connection point is located at the connection side of the range extender installed on the test bench and the front suspension, left suspension, and right suspension; The first target point is located in the near field of six surfaces of the range extender mounted on the test bench; The second connection points include a passive end second connection point, an active end second connection point, and an air path second connection point; The second connection point of the passive end is located at the passive end of the range extender separated from the vehicle body, where the range extender is suspended and connected to the vehicle body; The second connection point of the active end is located at the active end of the range extender which is separated from the vehicle body and suspended through the truss; The air path connection points are located at the front, rear, left, right and top of the range extender; The second target point is located at the left ear and right ear of the driver and the co-driver of the vehicle; Wherein, each connection point is deployed with an acceleration sensor or a vibration sensor, and each target point is deployed with a sound pressure sensor.

[0009] Optionally, the acquiring, according to the first connection point and the first target point, structure-path noise prediction data and air-path noise prediction data of the range extender under the test bench includes: determining a first transfer function based on the force excitation applied at each of the first connection points and the response at each of the target points; determining a second transfer function based on the acoustic excitation applied at each of the first connection points and the response at each of the target points; The first operating condition data of each of the first target points during transient startup of the range extender is collected.

[0010] Optionally, the acquiring, according to the second connection point and the second target point, structure-path noise prediction data and air-path noise prediction data of the range extender in the entire vehicle includes: determining a third transfer function based on a force excitation applied at a first position away from the second connection point of each of the passive ends and a response collected at each of the target points; determining a fourth transfer function based on a force excitation applied at a first position away from the second connection point of each passive end and a response collected at an origin of the second connection point of each passive end; determining a fifth transfer function based on a force excitation applied at a first position away from the second connection point of each active end and a response collected at an origin of the second connection point of each active end, wherein the distance between the first position and the second connection point is less than a predetermined first distance threshold; A sixth transfer function is determined based on the acoustic excitation applied at each of the third connection points and the response collected at each of the active-end second connection points.

[0011] Optionally, determining the restraining force and acoustic load of the range extender according to the structure-path noise prediction data and the air-path noise prediction data, respectively, includes: determining a restraining force of the range extender according to the first operating condition data and the first transfer function; An acoustic load of the range extender is determined according to the first operating condition data and the second transfer function.

[0012] Optionally, the component transfer path analysis (CTPA) method is used to determine the noise characteristics of the range extender according to the noise prediction data, the restraining force, and the acoustic load, including: The sound pressure frequency domain data of each target point inside the vehicle is determined by the CTPA method based on the restraint force, the acoustic load, the third transfer function, the fourth transfer function, the fifth transfer function, the sixth transfer function, and the suspension dynamic stiffness curve.

[0013] Optionally, phase information is further determined according to the noise prediction data based on the CTPA method; After determining the sound pressure frequency domain data of the range extender, the method further includes: Converting the sound pressure frequency domain data into a sound pressure response signal in the time domain according to the phase information; The sound pressure response signal is subjected to windowing processing to obtain the time domain characteristics of the interior noise of the range extender under transient conditions.

[0014] In a second aspect, an embodiment of the present invention provides a noise prediction device, the device comprising: an acquisition module, which acquires noise prediction data of the range extender, wherein the noise prediction data includes structure path noise prediction data and air path noise prediction data; a first determination module, determining a restraining force and an acoustic load of the range extender according to the structure-path noise prediction data and the air-path noise prediction data, respectively; The second determination module determines the noise characteristics of the range extender based on the component transfer path analysis (CTPA) method according to the noise prediction data, the restraining force, and the acoustic load.

[0015] In a third aspect, an embodiment of the present invention provides an electronic device, including: at least one processor; and at least one memory in communication with the processor, wherein: The memory stores program instructions that can be executed by the processor, and the processor calls the program instructions to execute the method as described in any one of the first aspects.

[0016] The embodiment of the present invention introduces the CTPA method, combines bench test data of the range extender with vehicle test data, calculates the range extender's restraining force and acoustic load from the structural path and air path respectively, and jointly predicts the sound pressure frequency domain data of the target point in the vehicle. This can predict the time domain characteristics of the in-vehicle noise induced by the range extender under transient conditions. The noise generated by the range extender under transient conditions can be accurately predicted. At the same time, even if the structure of the passive component connected to the active component changes, the bench test data and the range extender's restraining force and acoustic load can still be used, eliminating the need for re-bench testing, thereby improving testing efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0018] Figure 1 Shown is a flow chart of a noise prediction method provided by an embodiment of the present application; Figure 2 FIG2 is a schematic diagram of the structure of a noise prediction device provided in an embodiment of the present application; Figure 3 Shown is a structural schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0019] In order to better understand the technical solution of the present application, the embodiments of the present application are described in detail below with reference to the accompanying drawings.

[0020] It should be clear that the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0021] In recent years, the research and development of hybrid vehicle range extenders has primarily focused on system integration and control, as well as the development of key components. However, research on their vibration and noise has received insufficient attention. A vehicle's noise, vibration, and noise, harshness (NVH) performance are primary factors affecting ride comfort. Furthermore, during parking conditions, the intermittent start-stop operation of the range extender significantly impacts the vehicle's NVH performance. Therefore, in-depth research and accurate prediction of the transient interior noise of hybrid vehicle range extenders has significant engineering value and practical significance.

[0022] In related technologies, in predicting the interior noise of extended-range hybrid vehicles, the TPA method based on whole vehicle testing and the prediction method based on simulation are mainly used for prediction.

[0023] Based on the TPA method, the frequency response functions of key transfer paths are experimentally measured in the complete vehicle state. Combined with the range extender excitation source measured under complete vehicle conditions, the transfer path contribution analysis is performed to predict interior noise.

[0024] Based on simulation predictions, a detailed finite element or boundary element model is established, including the range extender dynamics, suspension system, exhaust system, body structure, acoustic cavity, etc. The range extender excitation and system dynamic response under different operating conditions are simulated to predict the interior noise.

[0025] However, the TPA method is mainly designed for steady-state or quasi-steady-state operating conditions. It is very difficult and costly to accurately identify the excitation force of the range extender under transient conditions such as rapid start-stop and sharp power changes, such as rapid acceleration, sudden start after energy recovery, and switching from pure electric to range extender mode. The ability to predict in-vehicle noise is very limited and the error is large.

[0026] Although the simulation method is feasible in theory, its practicality for transient noise prediction in engineering practice is very low and it is difficult to meet the needs of rapid development and optimization.

[0027] The main reasons for these errors are: Differences in source characteristics: The dynamic load of the range extender under transient conditions is essentially different from that under steady-state conditions. Its spectral characteristics and time history are more complex. It is extremely difficult to directly measure the dynamic force of the range extender acting on the suspension and other paths.

[0028] System coupled dynamic response: Transient excitation will stimulate the transient response modes of the vehicle body structure and acoustic cavity, and their contribution is different from the steady-state response.

[0029] Model complexity and computational cost: Establishing a high-precision vehicle-level transient dynamic-acoustic coupling model is very complex. The model involves a large number of parameters that are difficult to accurately obtain or change, making model calibration difficult, prediction accuracy unstable, and transient simulation calculation time extremely long.

[0030] In order to solve the above technical problems, an embodiment of the present invention provides a noise prediction method. Figure 1 FIG. 1 is a flow chart of a noise prediction method provided by an embodiment of the present invention. Figure 1 , the specific steps of the method include: S101 , obtaining noise prediction data of a range extender, where the noise prediction data includes structure-path noise prediction data and air-path noise prediction data.

[0031] Specifically, based on the test bench and the whole vehicle respectively, the noise prediction data of the range extender under the test bench, i.e., the structural noise prediction data and air path prediction data of the range extender under the test bench, and the noise prediction data of the range extender under the whole vehicle, i.e., the structural noise prediction data and air path prediction data of the range extender under the whole vehicle are obtained.

[0032] When obtaining noise prediction data under the range extender test bench, it is necessary to determine in advance the first connection point and the first target point of the range extender under the test bench.

[0033] In a semi-anechoic chamber, the range extender was mounted on the test bench using the same mounting arrangement as the vehicle: a three-point left-front-right mount to match the actual vehicle installation. Acceleration sensors were deployed at the connection points between the range extender and the front, left, and right mounts. Sound pressure sensors were deployed at the near-field locations of the six surfaces of the range extender.

[0034] In a specific embodiment, two three-axis acceleration sensors are placed on each side where the range extender connects to the front, left, and right mounts. Two sound pressure sensors are placed in the near field of the six faces of the range extender, with two sound pressure sensors placed at each face angle.

[0035] When acquiring noise prediction data from the range extender under the test bench, a first transfer function is determined based on the force excitation applied at each first connection point and the response at each target point. A second transfer function is determined based on the acoustic excitation applied at each first connection point and the response at each target point. During transient startup of the range extender, first operating condition data is collected at each first target point.

[0036] The excitation and response are collected through the deployed acceleration sensors and sound pressure sensors.

[0037] In a specific embodiment, a hammer is used to strike the relevant connection points in the X, Y, and Z directions when the range extender is not operating. The first transfer function is determined based on the excitation information collected by the acceleration sensor and the response information collected by the sound pressure sensor at the first target point. A volume sound source is used instead of the hammer to apply acoustic excitation. The second transfer function is determined based on the excitation information collected by the acceleration sensor and the response information collected by the sound pressure sensor at the first target point.

[0038] When obtaining noise prediction data for the entire vehicle, it is necessary to predetermine the range extender's second connection point and the second target point on the vehicle. Specifically, the second connection point includes the passive end second connection point, the active end second connection point, and the air path second connection point.

[0039] The vehicle to be tested is placed in a semi-anechoic chamber. Secondary target points are set at the left and right ears of the driver and co-driver, respectively, and sound pressure sensors are deployed. The range extender is then separated from the vehicle body. A second passive connection point is set at the passive end where the range extender is suspended from the vehicle body, and an acceleration sensor is deployed. At the same time, a truss is used to suspend the separated range extender, and a second active connection point is set at the active end of the range extender, and a vibration sensor is deployed. The five surfaces of the original installation position of the range extender, namely the front, rear, left, right, and top, are set as the second air path connection points, and acceleration sensors are deployed.

[0040] In one specific embodiment, a sound pressure sensor is placed at the left and right ears of the driver and front passenger, respectively. Three three-axis acceleration sensors are placed at the passive end of the range extender mount, where it connects to the vehicle body. A truss is used to suspend the disassembled range extender, and three three-axis vibration sensors are installed at the active end of the range extender.

[0041] When obtaining noise prediction data for the entire vehicle, a third transfer function is determined based on a force excitation applied at a first position from the second connection point of each passive end and responses collected at each target point. A fourth transfer function is determined based on a force excitation applied at a first position from the second connection point of each passive end and responses collected at the origin of the second connection point of each passive end. A fifth transfer function is determined based on a force excitation applied at a first position from the second connection point of each active end and responses collected at the origin of the second connection point of each active end. A sixth transfer function is determined based on an acoustic excitation applied at each third connection point and responses collected at the second connection point of each active end.

[0042] The distance between the first position and the second connection point is less than a preset first distance threshold. The excitation and response are collected by the deployed acceleration sensor, vibration sensor and sound pressure sensor.

[0043] In a specific embodiment, a hammer is used to perform single-point tapping on the three orthogonal axes X, Y, and Z at the first positions of the three three-dimensional acceleration sensors at the passive end of the suspension, and a third function is determined based on the excitation information collected by the acceleration sensors and the response information collected by the sound pressure sensor. A fourth function is determined based on the excitation information collected by the acceleration sensors and the response information collected at the origin of the passive end of the range extender. A hammer is used to perform single-point tapping on the three orthogonal axes X, Y, and Z at the first positions of the three three-dimensional vibration sensors at the active end of the suspension, and a fifth function is determined based on the excitation information collected by the acceleration sensors and the response information collected at the origin of the active end of the range extender. Volume sound sources are sequentially arranged on the five surfaces of the original installation position of the range extender, namely the front, rear, left, right, and top, for testing to obtain the sixth transfer function from the passive end of the vehicle body to the target point inside the vehicle.

[0044] S102 : determining a restraining force and an acoustic load of the range extender according to the structure-path noise prediction data and the air-path noise prediction data respectively.

[0045] Specifically, based on the first operating condition data and the first transfer function, the inverse matrix method was used to calculate the range extender's restraining force under transient operating conditions on the test bench. The range extender's restraining force is the force required to overcome the rigid constraints of the active component at the connection interface. It is independent of the dynamic behavior between the active and passive components and is only related to the active component.

[0046] Based on the first operating condition data and the second transfer function, the inverse matrix method is used to construct the sound source identification equation group, and the five-point method is used to solve the equation group to obtain the acoustic loads on the top, front, rear, left and right sides of the range extender when the range extender is running under transient conditions on the test bench.

[0047] S103 , based on the component transfer path analysis (CTPA) method, determine the noise characteristics of the range extender according to the noise prediction data, the restraining force, and the acoustic load.

[0048] Specifically, based on the restraint force, acoustic load, the third, fourth, fifth, and sixth transfer functions, as well as the suspension dynamic stiffness curve, the component-based transfer path analysis (CTPA) method is used to determine the sound pressure frequency domain data of each target point in the vehicle using direct force introduction.

[0049] Optionally, in some embodiments, phase information is also determined simultaneously by the CTPA method. Based on the determined phase information, the sound pressure frequency domain data is converted into a sound pressure response signal in the time domain using an inverse Fourier transform.

[0050] Since the obtained sound pressure response signal in the time domain has been processed by correlation windowing, it is also necessary to perform windowing on the sound pressure response signal to obtain the time domain characteristics of the interior noise of the range extender under transient conditions.

[0051] Optionally, in some embodiments, when noise prediction data is obtained based on the entire vehicle, second operating condition data is also obtained simultaneously.

[0052] Specifically, the operating signal data from each sound pressure sensor at each second target point while the vehicle is operating under transient operating conditions is collected as the second operating condition data. This second operating condition data can be used to compare and verify the ultimately calculated time-domain characteristics of the range extender's interior noise under transient operating conditions.

[0053] The embodiment of the present invention introduces the CTPA method, combines bench test data of the range extender with vehicle test data, calculates the range extender's restraining force and acoustic load from the structural path and air path respectively, and jointly predicts the sound pressure frequency domain data of the target point in the vehicle. This can predict the time domain characteristics of the in-vehicle noise induced by the range extender under transient conditions. The noise generated by the range extender under transient conditions can be accurately predicted. At the same time, even if the structure of the passive component connected to the active component changes, the bench test data and the range extender's restraining force and acoustic load can still be used, eliminating the need for re-bench testing, thereby improving testing efficiency.

[0054] Corresponding to the above-mentioned noise prediction method, the embodiment of the present application further provides a noise prediction device. Figure 2 , is a structural diagram of a noise prediction device provided in an embodiment of the present application. The noise prediction device may include: an acquisition module 201, a first determination module 202 and a second determination module 203.

[0055] An acquisition module 201 acquires noise prediction data of a range extender, wherein the noise prediction data includes structure-path noise prediction data and air-path noise prediction data; A first determination module 202 determines a restraining force and an acoustic load of the range extender according to the structure-path noise prediction data and the air-path noise prediction data respectively; The second determination module 203 determines the noise characteristics of the range extender based on the component transfer path analysis (CTPA) method according to the noise prediction data, the restraining force, and the acoustic load.

[0056] Figure 3 This is a schematic diagram of the structure of an embodiment of the electronic device of this specification. Figure 3 As shown, the electronic device may include at least one processor; and at least one memory communicatively connected to the processing unit, wherein the memory stores program instructions that can be executed by the processing unit, and the processor calls the program instructions to execute the noise prediction method provided in this embodiment.

[0057] The electronic device can be a device capable of intelligently communicating with a user, such as a cloud server. The specific form of the electronic device is not limited in this specification. It is understood that the electronic device here is the machine mentioned in the method embodiment.

[0058] Figure 3 A block diagram is shown of an exemplary electronic device suitable for implementing embodiments of the present description. Figure 3 The electronic device shown is only an example and should not limit the functions and scope of use of the embodiments of this specification.

[0059] like Figure 3 As shown, the electronic device is implemented as a general-purpose computing device. Components of the electronic device may include, but are not limited to, one or more processors 310, a communication interface 320, a memory 330, and a communication bus 340 connecting different system components (including the memory 330, the communication interface 320, and the processor 310).

[0060] Communication bus 340 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. Examples of these architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MAC) bus, the Enhanced ISA bus, the Video Electronics Standards Association (VESA) local bus, and the Peripheral Component Interconnection (PCI) bus.

[0061] Electronic devices typically include a variety of computer system readable media. These media can be any available media that can be accessed by the electronic device, including volatile and non-volatile media, removable and non-removable media.

[0062] Memory 330 may include computer-readable media in the form of volatile memory, such as random access memory (RAM) and / or cache memory. The electronic device may further include other removable or non-removable, volatile or non-volatile computer storage media. Memory 330 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of various embodiments of this specification.

[0063] A program / utility having a set (at least one) of program modules may be stored in memory 330. Such program modules include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment. The program modules generally implement the functions and / or methods of the embodiments described herein.

[0064] The processor 310 executes various functional applications and data processing by running the programs stored in the memory 330, such as implementing the noise prediction method provided in the embodiments shown in this specification.

[0065] An embodiment of this specification provides a non-transitory computer-readable storage medium, wherein the non-transitory computer-readable storage medium stores computer instructions, and the computer instructions enable the computer to execute the noise prediction method provided by the embodiment shown in this specification.

[0066] The non-transitory computer-readable storage medium may employ any combination of one or more computer-readable media. The computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection having one or more conductors, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM) or flash memory, optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0067] A computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0068] Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0069] Computer program code for performing the operations of this specification may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, 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 via 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., via the Internet using an Internet service provider).

[0070] The foregoing description of this specification describes specific embodiments. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0071] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature specified as "first" or "second" may explicitly or implicitly include at least one such feature. Throughout this specification, "plurality" means at least two, such as two or three, unless otherwise specifically defined.

[0072] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of this specification includes alternative implementations in which functions may be performed out of the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of this specification belong.

[0073] The word "if," as used herein, may be interpreted as "at the time of" or "when" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrases "if it is determined" or "if (stated condition or event) is detected" may be interpreted as "when it is determined" or "in response to the determination" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)," depending on the context.

[0074] It should be noted that the terminals involved in the embodiments of this specification may include but are not limited to personal computers (Personal Computer; hereinafter referred to as: PC), personal digital assistants (Personal Digital Assistant; hereinafter referred to as: PDA), wireless handheld devices, tablet computers (Tablet Computer), mobile phones, MP3 players, MP4 players, etc.

[0075] In the embodiments provided in this specification, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed may be through some interface, indirect coupling or communication connection of the device or unit, which may be electrical, mechanical or other forms.

[0076] In addition, the functional units in the various embodiments of this specification may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or hardware plus software functional units.

[0077] The above-mentioned integrated unit implemented in the form of a software functional unit can be stored in a computer-readable storage medium. The above-mentioned software functional unit stored in a storage medium includes a number of instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) or a processor to execute some of the steps of the method described in various embodiments of this specification.

[0078] The above description is only a preferred embodiment of this specification and is not intended to limit this specification. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of this specification should be included in the scope of protection of this specification.

Claims

1. A noise prediction method, characterized in that: The method comprises: Acquiring noise prediction data of the range extender, the noise prediction data including structure-path noise prediction data and air-path noise prediction data; determining a restraining force and an acoustic load of the range extender based on the structure-path noise prediction data and the air-path noise prediction data, respectively; Based on a component transfer path analysis (CTPA) method, the noise characteristics of the range extender are determined according to the noise prediction data, the restraining force, and the acoustic load.

2. The method according to claim 1, characterized in that The noise prediction data includes operating condition data and a transfer function, and obtaining the noise prediction data of the range extender includes: Determining a first connection point and a first target point of the range extender under the test bench; Based on the test bench, obtaining structure-path noise prediction data and air-path noise prediction data of the range extender under the test bench according to the first connection point and the first target point; The structure-path noise data acquired based on the test bench includes a first transfer function, the air path noise data includes a second transfer function, and the noise prediction data acquired based on the test bench also includes first operating condition data; Determining a second connection point and a second target point of the range extender under the vehicle; Based on the entire vehicle, obtaining structure-path noise prediction data and air-path noise prediction data of the range extender under the entire vehicle according to the second connection point and the second target point; The structure-path noise data acquired based on the entire vehicle includes a third transfer function, a fourth transfer function, and a fifth transfer function, and the air path noise data includes a sixth transfer function.

3. The method according to claim 2, characterized in that include: The first connection point is located at the connection side of the range extender installed on the test bench and the front suspension, left suspension, and right suspension; The first target point is located in the near field of six surfaces of the range extender mounted on the test bench; The second connection points include a passive end second connection point, an active end second connection point, and an air path second connection point; The second connection point of the passive end is located at the passive end of the range extender separated from the vehicle body, where the range extender is suspended and connected to the vehicle body; The second connection point of the active end is located at the active end of the range extender which is separated from the vehicle body and suspended through the truss; The air path connection points are located at the front, rear, left, right and top of the range extender; The second target point is located at the left ear and right ear of the driver and the co-driver of the vehicle; Wherein, each connection point is deployed with an acceleration sensor or a vibration sensor, and each target point is deployed with a sound pressure sensor.

4. The method according to claim 2, characterized in that The acquiring, according to the first connection point and the first target point, structure-path noise prediction data and air-path noise prediction data of the range extender under the test bench includes: determining a first transfer function based on the force excitation applied at each of the first connection points and the response at each of the target points; determining a second transfer function based on the acoustic excitation applied at each of the first connection points and the response at each of the target points; The first operating condition data of each of the first target points during transient startup of the range extender is collected.

5. The method according to claim 2, characterized in that The obtaining, according to the second connection point and the second target point, structure-path noise prediction data and air-path noise prediction data of the range extender under the entire vehicle includes: determining a third transfer function based on a force excitation applied at a first position away from the second connection point of each of the passive ends and a response collected at each of the target points; determining a fourth transfer function based on a force excitation applied at a first position away from the second connection point of each passive end and a response collected at an origin of the second connection point of each passive end; determining a fifth transfer function based on a force excitation applied at a first position away from the second connection point of each active end and a response collected at an origin of the second connection point of each active end, wherein the distance between the first position and the second connection point is less than a predetermined first distance threshold; A sixth transfer function is determined based on the acoustic excitation applied at each of the third connection points and the response collected at each of the active-end second connection points.

6. The method according to claim 2, characterized in that The determining the restraining force and the acoustic load of the range extender according to the structure-path noise prediction data and the air-path noise prediction data, respectively, includes: determining a restraining force of the range extender according to the first operating condition data and the first transfer function; An acoustic load of the range extender is determined according to the first operating condition data and the second transfer function.

7. The method according to claim 1, characterized in that The component transfer path analysis (CTPA) method is used to determine the noise characteristics of the range extender according to the noise prediction data, the restraining force, and the acoustic load, including: The sound pressure frequency domain data of each target point inside the vehicle is determined by the CTPA method based on the restraint force, the acoustic load, the third transfer function, the fourth transfer function, the fifth transfer function, the sixth transfer function, and the suspension dynamic stiffness curve.

8. The method according to claim 7, characterized in that further determining phase information from the noise prediction data based on the CTPA method; After determining the sound pressure frequency domain data of the range extender, the method further includes: Converting the sound pressure frequency domain data into a sound pressure response signal in the time domain according to the phase information; The sound pressure response signal is subjected to windowing processing to obtain the time domain characteristics of the interior noise of the range extender under transient conditions.

9. A noise prediction device, characterized in that: The device comprises: an acquisition module for acquiring noise prediction data of the range extender, wherein the noise prediction data includes structure-path noise prediction data and air-path noise prediction data; a first determination module, determining a restraining force and an acoustic load of the range extender according to the structure-path noise prediction data and the air-path noise prediction data, respectively; The second determination module determines the noise characteristics of the range extender based on the component transfer path analysis (CTPA) method according to the noise prediction data, the restraining force, and the acoustic load.

10. An electronic device, characterized in that: include: at least one processor; as well as at least one memory in communication with the processor, wherein: The memory stores program instructions that can be executed by the processor, and the processor calls the program instructions to execute the method according to any one of claims 1 to 8.

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