Noise prediction method, apparatus and device

Abstract

The application relates to the technical field of automobile noise, in particular to a noise prediction method, device and equipment. A noise prediction method comprises the following steps: obtaining noise prediction data of a range extender, wherein the noise prediction data comprises structural path noise prediction data and air path noise prediction data; respectively determining constraint force and sound load of the range extender according to the structural path noise prediction data and the air path noise prediction data; and determining noise characteristics of the range extender according to the noise prediction data, the constraint force and the sound load based on a component transfer path analysis (CTPA) method. The embodiment of the application can accurately predict noise generated by the range extender under transient working conditions. Meanwhile, even if the structure of a passive component connected to an active component changes, the constraint force and the sound load of the range extender can still be used without needing to perform bench test again, so that the test efficiency is improved.

Description

Technical Field

[0001] This application relates to the field of automotive noise technology, and in particular to a noise prediction method, apparatus and equipment. Background Technology

[0002] In recent years, the focus of research and development on hybrid vehicle range extenders has primarily been on system integration control and the development of key components, while research on vibration and noise has not received sufficient attention. Vehicle noise, vibration, and harshness (NVH) performance are primary factors affecting vehicle ride comfort. Furthermore, under parking conditions, the noise radiation characteristics of the range extender, due to its intermittent start-stop operation, significantly impact the overall vehicle NVH performance. Therefore, in-depth research and accurate prediction of the transient in-vehicle noise of hybrid vehicle range extenders have significant engineering application value and practical significance.

[0003] In related technologies, the main methods for predicting in-vehicle noise in range-extended hybrid electric vehicles are transfer path analysis (TPA) based on whole vehicle testing and simulation-based prediction methods.

[0004] However, both the vehicle-based TPA method and the simulation-based prediction method will produce errors because they cannot accurately predict noise under transient conditions. Summary of the Invention

[0005] This invention provides a noise prediction method, apparatus, and device to solve the problem in the prior art that it is impossible to accurately predict the noise of a vehicle under transient operating conditions.

[0006] In a first aspect, embodiments of the present invention provide a noise prediction method, the method comprising: Acquire noise prediction data for the range extender, including structural path noise prediction data and air path noise prediction data; The constraint force and acoustic load of the range extender are determined based on the structural path noise prediction data and the air path noise prediction data, respectively. Based on the component transfer path analysis (CTPA) method, the noise characteristics of the range extender are determined according to the noise prediction data, the constraint force, and the acoustic load.

[0007] Optionally, the noise prediction data includes operating condition data and a transfer function, and the acquisition of the range extender's noise prediction data includes: Determine the first connection point and the first target point of the range extender under the test bench; Based on the test bench, the structural path noise prediction data and air path noise prediction data of the range extender under the test bench are obtained according to the first connection point and the first target point. The structural path noise data obtained from the test bench includes a first transfer function, the air path noise data includes a second transfer function, and the noise prediction data obtained from the test bench also includes first operating condition data. Determine the second connection point and the second target point of the range extender under the vehicle; Based on the whole vehicle, the structural path noise prediction data and air path noise prediction data of the range extender under the whole vehicle are obtained according to the second connection point and the second target point; The structural path noise data obtained from the whole 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 on the connection side between the range extender mounted on the test bench and the front suspension, left suspension, and right suspension; The first target point is located in the near field of the six sides of the range extender mounted on the test bench; The second connection point includes 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 that is separated from the vehicle body and is suspended from 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 by a truss. The air path connection points are located in front of, behind, to the left of, to the right of, and above the range extender; The second target point is located at the left and right ear positions of the driver and passenger seats in the vehicle. Each of the connection points is equipped with an acceleration sensor or a vibration sensor, and each of the target points is equipped with a sound pressure sensor.

[0009] Optionally, obtaining the structural path noise prediction data and air path noise prediction data of the range extender under the test bench based on the first connection point and the first target point includes: The first transfer function is determined based on the force excitation applied at each of the first connection points and the response at each of the target points; The second transfer function is determined based on the acoustic excitation applied at each of the first connection points and the response at each of the target points; Collect the first operating condition data of each of the first target points when the range extender is started transiently.

[0010] Optionally, obtaining the structural path noise prediction data and air path noise prediction data of the range extender under the whole vehicle based on the second connection point and the second target point includes: The third transfer function is determined based on the force excitation applied at a first position at a distance from the second connection point of each passive end and the response collected at each target point. The fourth transfer function is determined based on the force excitation applied at a first position at a distance from the second connection point of each passive end, and the response collected at the origin of the second connection point of each passive end. A fifth transfer function is determined based on the force excitation applied at a first position at a distance from each of the active end second connection points and the response collected at the origin of each of the active end second connection points, wherein the distance between the first position and the second connection point is less than a preset first distance threshold. The 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 constraint force and acoustic load of the range extender based on the structural path noise prediction data and the air path noise prediction data respectively includes: The constraint force of the range extender is determined based on the first operating condition data and the first transfer function; The acoustic load of the range extender is determined based on the first operating condition data and the second transfer function.

[0012] Optionally, the CTPA method based on component transfer path analysis, which determines the noise characteristics of the range extender according to the noise prediction data, the constraint force, and the acoustic load, includes: Based on the constraint 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, the sound pressure frequency domain data of each target point inside the vehicle are determined by the CTPA method.

[0013] Optionally, phase information can also be determined based on the noise prediction data using the CTPA method. After determining the sound pressure frequency domain data of the range extender, the method further includes: Based on the phase information, the sound pressure frequency domain data is converted into a sound pressure response signal in the time domain. The sound pressure response signal is dewindowed to obtain the time-domain characteristics of the in-vehicle noise of the range extender under transient conditions.

[0014] Secondly, embodiments of the present invention provide a noise prediction device, the device comprising: The acquisition module acquires noise prediction data of the range extender, including structural path noise prediction data and air path noise prediction data. The first determining module determines the constraint force and acoustic load of the range extender based on the structural path noise prediction data and the air path noise prediction data, respectively. The second determining module, based on the component transfer path analysis (CTPA) method, determines the noise characteristics of the range extender according to the noise prediction data, the constraint force, and the acoustic load.

[0015] Thirdly, embodiments of the present invention provide an electronic device, including: At least one processor; and At least one memory communicatively connected to the processor, wherein: The memory stores program instructions that can be executed by the processor, which can invoke the program instructions to perform the method as described in any of the first aspects.

[0016] This invention, through the introduction of the CTPA method, combines range extender bench test data with vehicle test data to calculate the range extender constraint force and acoustic load from both structural and air paths. This allows for the prediction of the frequency domain data of the sound pressure level at a target point inside the vehicle, thereby predicting the time-domain characteristics of in-vehicle noise induced by the range extender under transient conditions. This enables accurate prediction of the noise generated by the range extender under transient conditions. Furthermore, even if the structure of the passive components connected to the active component changes, the bench test data and the range extender's constraint force and acoustic load remain usable, eliminating the need for repeated bench testing and improving testing efficiency. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 The diagram shown is a flowchart of a noise prediction method provided in an embodiment of this application; Figure 2 The diagram shown is a structural schematic of a noise prediction device provided in an embodiment of this application; Figure 3 The diagram shown is a structural schematic of an electronic device provided in an embodiment of this application. Detailed Implementation

[0019] To better understand the technical solution of this application, the embodiments of this application will be described in detail below with reference to the accompanying drawings.

[0020] It should be understood that the described embodiments are merely some, not all, of the embodiments in this application. All other embodiments obtained by those skilled in the art based on the embodiments in this application without inventive effort are within the scope of protection of this application.

[0021] In recent years, the focus of research and development on hybrid vehicle range extenders has primarily been on system integration control and the development of key components, while research on vibration and noise has not received sufficient attention. Vehicle noise, vibration, and NVH performance are primary factors affecting vehicle ride comfort. Furthermore, under parking conditions, the noise radiation characteristics of the range extender, which requires intermittent start-stop operation, have a significant impact on the overall vehicle NVH performance. Therefore, in-depth research and accurate prediction of the transient in-vehicle noise of hybrid vehicle range extenders have important engineering application value and practical significance.

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

[0023] Based on the TPA (Transmission Path Analysis) method, the frequency response function of the key transmission path is experimentally measured under full vehicle conditions. Combined with measurements of the range extender excitation source under full vehicle conditions, the contribution of the transmission path is analyzed to predict in-vehicle noise.

[0024] Simulation-based prediction involves establishing detailed finite element or boundary element models that include range extender dynamics, suspension system, exhaust system, vehicle body structure, and acoustic cavity. By simulating the excitation of the range extender and the dynamic response of the system under different operating conditions, in-vehicle noise is predicted.

[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, rapid power changes, such as rapid acceleration, sudden start after energy recovery ends, and switching from pure electric to range extender mode. Its ability to predict in-vehicle noise is very limited and the error is large.

[0026] While simulation methods are theoretically feasible, their practicality for transient noise prediction in engineering practice is very low, making it 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 fundamentally different from that under steady-state conditions, and its spectrum characteristics and time history are more complex, making it 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 excite the transient response modes of the vehicle body structure and acoustic cavity, and its contribution is different from that of the steady-state response.

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

[0030] To address the aforementioned technical problems, embodiments of the present invention provide a noise prediction method. For example... Figure 1 The diagram shown is a flowchart of a noise prediction method provided in an embodiment of the present invention. (See also...) Figure 1 The specific steps of this method include: S101, acquire noise prediction data of the range extender, including structural path noise prediction data and air path noise prediction data.

[0031] Specifically, noise prediction data for the range extender under the test bench and the whole vehicle are obtained respectively. These include structural noise prediction data and air path prediction data of the range extender under the test bench, as well as noise prediction data of the range extender under the whole vehicle.

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

[0033] Inside the semi-anechoic chamber, the range extender was mounted on the test bench using the same suspension arrangement as the vehicle, i.e., a three-point suspension on the left, front, and right sides, to match the actual vehicle installation. First connection points were set on the connection sides of the range extender with the front, left, and right suspensions, and acceleration sensors were deployed there. First target points were set in the near field on all six surfaces of the range extender, and sound pressure sensors were deployed there.

[0034] In one specific embodiment, two triaxial acceleration sensors are arranged on each of the connection sides between the range extender and the front, left, and right suspensions. Two sound pressure sensors are arranged in the near field of each of the six faces of the range extender, with each face having two diagonal placements.

[0035] When acquiring noise prediction data under the range extender 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 the transient start-up of the range extender, first operating condition data at each first target point is collected.

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

[0037] In one specific embodiment, a first transfer function is determined by striking the relevant connection points in the X, Y, and Z directions with a hammer when the range extender is not operating, based on the excitation information collected by the accelerometer and the response information collected by the sound pressure sensor at the first target point. A second transfer function is determined by applying acoustic excitation using a volumetric sound source instead of the hammer, based on the excitation information collected by the accelerometer and the response information collected by the sound pressure sensor at the first target point.

[0038] When acquiring noise prediction data for the entire vehicle, it is necessary to pre-determine the second connection point and the second target point of the range extender within 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 under test was placed in a semi-anechoic chamber. Second target points were set at the left and right ear positions of the driver and passenger sides, respectively, and sound pressure sensors were deployed there. The range extender was then separated from the vehicle body. A passive end second connection point was set at the passive end of the range extender connected to the vehicle body, and an acceleration sensor was deployed there. Simultaneously, the separated range extender was suspended using a truss, and an active end second connection point was set at the active end of the range extender, where a vibration sensor was deployed. The five sides of the original mounting location of the range extender—front, rear, left, right, and top—were designated as second connection points for the air path, and acceleration sensors were deployed there.

[0040] In one specific embodiment, a sound pressure sensor is placed at the left and right ear positions of the driver and passenger sides of the vehicle. Three triaxial acceleration sensors are placed at the passive end of the range extender suspension connected to the vehicle body. The separated range extender is suspended using a truss, and three triaxial vibration sensors are installed at the active end of the range extender.

[0041] When acquiring noise prediction data for the entire vehicle, a third transfer function is determined based on the force excitation applied at a first position relative to the second connection point of each passive end and the response collected at each target point. A fourth transfer function is determined based on the force excitation applied at a first position relative to the second connection point of each passive end and the response collected at the origin of the second connection point of each passive end. A fifth transfer function is determined based on the force excitation applied at a first position relative to the second connection point of each active end and the response collected at the origin of the second connection point of each active end. A sixth transfer function is determined based on the acoustic excitation applied at each third connection point and the response 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. Excitation and response are collected using deployed accelerometers, vibration sensors, and sound pressure sensors.

[0043] In one specific embodiment, a hammer is used to sequentially strike the X, Y, and Z orthogonal axes at the first positions of the three triaxial accelerometers on the passive end of the suspension. A third function is determined based on the excitation information collected by the accelerometers and the response information collected by the sound pressure sensor. A fourth function is determined based on the excitation information collected by the accelerometers and the response information collected at the origin of the passive end of the range extender. A hammer is then used to sequentially strike the X, Y, and Z orthogonal axes at the first positions of the three triaxial vibration sensors on the active end of the suspension. A fifth function is determined based on the excitation information collected by the accelerometers and the response information collected at the origin of the active end of the range extender. Volumetric sound sources are sequentially placed on five surfaces of the original installation location of the range extender—front, rear, left, right, and top—for testing, resulting in a sixth transfer function from the passive end of the vehicle body to the target point inside the vehicle.

[0044] S102, determine the constraint force and acoustic load of the range extender based on the structural 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 constraint force of the range extender under transient operating conditions on the test bench is calculated using the inverse matrix method. The constraint force of the range extender is the force that needs to be applied at the connection interface to overcome the rigid constraint of the active component. 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 sound source identification equation set is constructed using the inverse matrix method, and the five-point method is used to solve the equation set to obtain the acoustic loads on the top, front, rear, left, and right sides of the range extender under transient operating conditions on the test bench.

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

[0048] Specifically, based on the constraint force, acoustic load, third transfer function, fourth transfer function, fifth transfer function, sixth transfer function, and suspension dynamic stiffness curve, the sound pressure frequency domain data of each target point inside the vehicle is determined by direct force introduction using the component-based transfer path analysis (CTPA) method.

[0049] Optionally, in some embodiments, phase information is also determined simultaneously using 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 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 dewindowing processing on the sound pressure response signal to obtain the time domain characteristics of the in-vehicle noise of the range extender under transient conditions.

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

[0052] Specifically, the operating condition signal data of each sound pressure sensor at each second target point is collected when the vehicle is operating under transient conditions, and this data is used as the second operating condition data. The second operating condition data can be used to compare and verify the time-domain characteristics of the in-vehicle noise of the range extender under transient conditions, which are finally calculated.

[0053] This invention, through the introduction of the CTPA method, combines range extender bench test data with vehicle test data to calculate the range extender constraint force and acoustic load from both structural and air paths. This allows for the prediction of the frequency domain data of the sound pressure level at a target point inside the vehicle, thereby predicting the time-domain characteristics of in-vehicle noise induced by the range extender under transient conditions. This enables accurate prediction of the noise generated by the range extender under transient conditions. Furthermore, even if the structure of the passive components connected to the active component changes, the bench test data and the range extender's constraint force and acoustic load remain usable, eliminating the need for repeated bench testing and improving testing efficiency.

[0054] Corresponding to the above-described noise prediction method, this application also provides a noise prediction device. See [link to previous document]. Figure 2 This is a schematic diagram of the structure of a noise prediction device provided in an embodiment of this application. The noise prediction device may include: an acquisition module 201, a first determination module 202, and a second determination module 203.

[0055] The acquisition module 201 acquires noise prediction data of the range extender, the noise prediction data including structural path noise prediction data and air path noise prediction data; The first determining module 202 determines the constraint force and acoustic load of the range extender based on the structural path noise prediction data and the air path noise prediction data, respectively. The second determining module 203 determines the noise characteristics of the range extender based on the component transfer path analysis (CTPA) method, the noise prediction data, the constraint force, and the acoustic load.

[0056] Figure 3 This is a schematic diagram illustrating the structure of one embodiment of the electronic device described in 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 executable by the processing unit, and the processor can execute the noise prediction method provided in this embodiment by calling the program instructions.

[0057] The aforementioned electronic device can be a device capable of intelligent dialogue with the user, such as a cloud server. This specification does not limit the specific form of the electronic device in the embodiments. It is understood that the electronic device here refers to the machine mentioned in the method embodiments.

[0058] Figure 3 A block diagram is shown that is suitable for implementing embodiments of this specification in an exemplary electronic device. Figure 3 The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of use of the embodiments described in this specification.

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

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

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

[0062] Memory 330 may include computer system 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 / non-removable, volatile / non-volatile computer system 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 the embodiments described herein.

[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 typically perform the functions and / or methods described in the embodiments of this specification.

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

[0065] This specification provides a non-transitory computer-readable storage medium that stores computer instructions that cause the computer to execute the noise prediction method provided in the embodiments shown in this specification.

[0066] The aforementioned non-transitory computer-readable storage medium may be any combination of one or more computer-readable media. A computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. A 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 of computer-readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, 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, portable compact disk read-only memory (CD-ROM), optical storage device, 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 may be used by or in connection with an instruction execution system, apparatus, or device.

[0067] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, carrying 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. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, capable of sending, propagating, or transmitting programs for use by or in connection with an instruction execution system, apparatus, or device.

[0068] Program code contained on a computer-readable medium may be transmitted using any suitable medium, including but not limited to wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.

[0069] Computer program code for performing the operations described herein can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as "C" or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or it can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0070] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are 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 technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this specification, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0072] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this specification includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as will be understood by those skilled in the art to which the embodiments of this specification pertain.

[0073] Depending on the context, the word "if" as used here can be interpreted as "when," "when," "in response to determination," or "in response to detection." Similarly, depending on the context, the phrase "if determination" or "if detection (of the stated condition or event)" can be interpreted as "when determination," "in response to determination," "when detection (of the stated condition or event)," or "in response to detection (of the stated condition or event)."

[0074] It should be noted that the terminals involved in the embodiments of this specification may include, but are not limited to, personal computers (PCs), personal digital assistants (PDAs), wireless handheld devices, tablet computers, mobile phones, MP3 players, MP4 players, etc.

[0075] In the embodiments provided in this specification, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and 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. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0076] Furthermore, the functional units in the various embodiments of this specification can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in a combination of hardware and software functional units.

[0077] The integrated units implemented as software functional units described above can be stored in a computer-readable storage medium. These software functional units, stored in a storage medium, include several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute some steps of the methods described in the various embodiments of this specification.

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

Claims

1. A noise prediction method, characterized in that, The method includes: Acquire noise prediction data for the range extender, including structural path noise prediction data and air path noise prediction data; The constraint force and acoustic load of the range extender are determined based on the structural path noise prediction data and the air path noise prediction data, respectively. The constraint force is the constraint force of the range extender under transient conditions when it is running on the test bench, and the acoustic load is the acoustic load of the range extender under transient conditions when it is running on the test bench. Based on the component transfer path analysis (CTPA) method, the noise characteristics of the range extender are determined according to the noise prediction data, the constraint force, and the acoustic load. The noise characteristics of the range extender are the time-domain characteristics of the in-vehicle noise under transient operating conditions. The structural path noise prediction data includes: structural path noise prediction data obtained from the test bench and structural path noise prediction data obtained from the whole vehicle. The structural path noise prediction data obtained from the test bench includes a first transfer function, the air path noise prediction data includes a second transfer function, and the structural path noise prediction data obtained from the test bench also includes first operating condition data. The determination of the range extender's constraint force and acoustic load based on the structural path noise prediction data and the air path noise prediction data respectively includes: The constraint force of the range extender is determined based on the first operating condition data and the first transfer function; The acoustic load of the range extender is determined based on the first operating condition data and the second transfer function.

2. The method according to claim 1, characterized in that, The noise prediction data includes operating condition data and a transfer function. The acquisition of the range extender's noise prediction data includes: Determine the first connection point and the first target point of the range extender under the test bench; Based on the test bench, the structural path noise prediction data and air path noise prediction data of the range extender under the test bench are obtained according to the first connection point and the first target point. Determine the second connection point and the second target point of the range extender under the vehicle; Based on the whole vehicle, the structural path noise prediction data and air path noise prediction data of the range extender under the whole vehicle are obtained according to the second connection point and the second target point; The structural path noise prediction data obtained from the whole vehicle includes a third transfer function, a fourth transfer function, and a fifth transfer function, while the air path noise prediction data includes a sixth transfer function.

3. The method according to claim 2, characterized in that, include: The first connection point is located on the connection side between the range extender mounted on the test bench and the front suspension, left suspension, and right suspension; The first target point is located in the near field of the six sides of the range extender mounted on the test bench; The second connection point includes 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 that is separated from the vehicle body and is suspended from 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 by a truss. The second connection point of the air path is located in front of, behind, to the left of, to the right of, and above the range extender; The second target point is located at the left and right ear positions of the driver and passenger seats in the vehicle. Among them, the passive end second connection point, the active end second connection point, and the air path second connection point of the first connection point and the second connection point are respectively equipped with acceleration sensors or vibration sensors, and the first target point and the second target point are respectively equipped with sound pressure sensors.

4. The method according to claim 2, characterized in that, The step of obtaining the structural path noise prediction data and air path noise prediction data of the range extender under the test bench based on the first connection point and the first target point includes: The first transfer function is determined based on the force excitation applied at each of the first connection points and the response at each of the target points; The second transfer function is determined based on the acoustic excitation applied at each of the first connection points and the response at each of the target points; Collect the first operating condition data of each of the first target points when the range extender starts transiently.

5. The method according to claim 3, characterized in that, The step of obtaining the structural path noise prediction data and air path noise prediction data of the range extender under the whole vehicle based on the second connection point and the second target point includes: The third transfer function is determined based on the force excitation applied at a first position at a distance from the second connection point of each passive end and the response collected at each target point. The fourth transfer function is determined based on the force excitation applied at a first position at a distance from the second connection point of each passive end, and the response collected at the origin of the second connection point of each passive end. A fifth transfer function is determined based on the force excitation applied at a first position at a distance from each of the active end second connection points and the response collected at the origin of each of the active end second connection points, wherein the distance between the first position and the second connection point is less than a preset first distance threshold. The sixth transfer function is determined based on the acoustic excitation applied at each of the second connection points of the air paths and the responses collected at each of the second connection points of the active ends.

6. The method according to claim 2, characterized in that, The CTPA method based on component transfer path analysis determines the noise characteristics of the range extender based on the noise prediction data, the constraint force, and the acoustic load, including: Based on the constraint 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, the sound pressure frequency domain data of each target point inside the vehicle are determined by the CTPA method.

7. The method according to claim 6, characterized in that, Phase information is also determined based on the noise prediction data using the CTPA method. After determining the sound pressure frequency domain data of the range extender, the method further includes: Based on the phase information, the sound pressure frequency domain data is converted into a sound pressure response signal in the time domain. The sound pressure response signal is dewindowed to obtain the time-domain characteristics of the in-vehicle noise of the range extender under transient conditions.

8. A noise prediction device, characterized in that, The device includes: The acquisition module acquires noise prediction data of the range extender, including structural path noise prediction data and air path noise prediction data. The first determining module determines the constraint force and acoustic load of the range extender based on the structural path noise prediction data and the air path noise prediction data, respectively. The constraint force is the constraint force of the range extender operating under transient conditions on the test bench, and the acoustic load is the acoustic load of the range extender operating under transient conditions on the test bench. The second determining module, based on the component transfer path analysis CTPA method, determines the noise characteristics of the range extender according to the noise prediction data, the constraint force and the acoustic load. The noise characteristics of the range extender are the time-domain characteristics of the in-vehicle noise of the range extender under transient operating conditions. The structural path noise prediction data includes: structural path noise prediction data obtained from the test bench and structural path noise prediction data obtained from the whole vehicle. The structural path noise prediction data obtained from the test bench includes a first transfer function, the air path noise prediction data includes a second transfer function, and the structural path noise prediction data obtained from the test bench also includes first operating condition data. The determination of the range extender's constraint force and acoustic load based on the structural path noise prediction data and the air path noise prediction data includes: The constraint force of the range extender is determined based on the first operating condition data and the first transfer function; The acoustic load of the range extender is determined based on the first operating condition data and the second transfer function.

9. An electronic device, characterized in that, include: At least one processor; as well as At least one memory communicatively connected to the processor, wherein: The memory stores program instructions that can be executed by the processor, and the processor can invoke the program instructions to perform the method as described in any one of claims 1 to 7.

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