Suspension data generation method, apparatus, device, and storage medium

Abstract

The present application relates to the technical field of vehicle design, and particularly relates to a suspension data generation method, device and equipment and a storage medium, the present application obtains at least one initial suspension frequency interval, and filters the obtained initial suspension frequency interval, so as to determine the final required suspension frequency, and then combines the suspension constraint information to perform data processing through a preset data processing model, so as to obtain target suspension data, complete the design of the vehicle suspension system, obtain the best performance suspension data, optimize the suspension system data from the design stage, avoid the technical problem that the traditional suspension system in the prior art has poor noise, vibration and sound roughness, so that there is a large noise, which affects the user experience, and reduces the noise generated by the suspension system.

Description

Technical Field

[0001] This invention relates to the field of vehicle design technology, and in particular to a method, apparatus, device and storage medium for generating suspension data. Background Technology

[0002] The powertrain is currently the source of noise and vibration in the design of vehicle noise, vibration, and harshness (NVH). Many NVH problems are caused by powertrain excitation. Among them, as a key component in the design of vehicle noise, vibration, and harshness (NVH), the design of the mounting system is of paramount importance. Traditional mounting systems have poor noise, vibration, and harshness (NVH), resulting in greater noise and affecting the user experience.

[0003] The above content is only used to help understand the technical solution of the present invention and does not represent an admission that the above content is prior art. Summary of the Invention

[0004] The main objective of this invention is to provide a suspension data generation method, apparatus, device, and storage medium, aiming to solve the technical problem that existing suspension systems have poor noise, vibration, and acoustic roughness (NVH), resulting in significant noise and affecting the user experience.

[0005] To achieve the above objectives, the present invention provides a method for generating suspended data, the method comprising the following steps:

[0006] Upon receiving a suspension design request, at least one initial suspension frequency range is obtained;

[0007] The initial suspension frequency range is filtered to obtain the target suspension frequency range;

[0008] Determine the suspension constraint information based on the suspension design request;

[0009] Based on the suspension constraint information and the target suspension frequency range, data is processed using a preset data processing model to obtain target suspension data.

[0010] Optionally, the step of filtering the initial suspension frequency range to obtain the target suspension frequency range includes:

[0011] Obtain target subframe modal frequencies and transmission parameter information;

[0012] The initial suspension frequency range is filtered based on the target subframe modal frequency and transmission parameter information to obtain the target suspension frequency range.

[0013] Optionally, the transmission parameter information includes: transmission order information and transmission resonance frequency;

[0014] The acquisition of target subframe modal frequencies and transmission parameter information includes:

[0015] Modal frequency detection was performed on the subframe to obtain a subframe modal frequency image;

[0016] Determine the target subframe modal frequency in the subframe modal frequency image;

[0017] Determine the transmission vibration color diagram based on the aforementioned suspension design request;

[0018] The transmission order information and transmission resonance frequency are determined based on the transmission vibration color image.

[0019] Optionally, the step of filtering the initial mount frequency range based on the target subframe modal frequency and transmission parameter information to obtain the target mount frequency range includes:

[0020] Match the target subframe modal frequency with the initial suspension frequency range;

[0021] The first suspension frequency range is obtained based on the matching result and the initial suspension frequency range;

[0022] Based on the transmission order information and the transmission resonance frequency, the first suspension frequency range is filtered to obtain the target suspension frequency range.

[0023] Optionally, upon receiving a suspension design request, obtaining at least one initial suspension frequency range includes:

[0024] Upon receiving a suspension design request, suspension noise simulation is performed using a preset virtual simulation model to obtain a suspension noise simulation image;

[0025] Determine the preset noise frequency threshold based on the suspension design request;

[0026] At least one initial suspension frequency range is determined based on the preset noise frequency threshold and the suspension noise simulation image.

[0027] Optionally, the step of simulating suspension noise using a preset virtual simulation model to obtain a suspension noise simulation image includes:

[0028] Determine the noise simulation excitation point and noise simulation response point based on the suspension design request;

[0029] Suspended noise simulation is performed using a preset virtual simulation model based on the noise simulation excitation point and the noise simulation response point.

[0030] The noise simulation results are converted to a new format to obtain a suspended noise simulation image.

[0031] Optionally, the step of processing the target suspension data by using a preset data processing model based on the suspension constraint information and the target suspension frequency range includes:

[0032] Extract the suspension weight information, suspension digital model information, and suspension mounting point dynamic stiffness information from the suspension constraint information;

[0033] Based on the suspension weight information, suspension digital model information, suspension installation point stiffness information, and target suspension frequency range, a model is constructed using a preset model to obtain the suspension model.

[0034] The suspension model is processed to obtain target suspension data.

[0035] Furthermore, to achieve the above objectives, the present invention also proposes a suspended data generation device, the suspended data generation device comprising:

[0036] The acquisition module is used to acquire at least one initial suspension frequency range when a suspension design request is received;

[0037] The filtering module is used to filter the initial suspension frequency range to obtain the target suspension frequency range;

[0038] The constraint module is used to determine suspension constraint information based on the suspension design request;

[0039] The processing module is used to process data according to the suspension constraint information and the target suspension frequency range through a preset data processing model to obtain target suspension data.

[0040] Furthermore, to achieve the above objectives, the present invention also proposes a suspended data generation device, the suspended data generation device comprising: a memory, a processor, and a suspended data generation program stored in the memory and executable on the processor, the suspended data generation program being configured to implement the steps of the suspended data generation method as described above.

[0041] Furthermore, to achieve the above objectives, the present invention also proposes a storage medium storing a suspended data generation program, which, when executed by a processor, implements the steps of the suspended data generation method as described above.

[0042] This invention discloses a method for obtaining at least one initial suspension frequency range upon receiving a suspension design request; filtering the initial suspension frequency range to obtain a target suspension frequency range; determining suspension constraint information based on the suspension design request; and processing the suspension constraint information and the target suspension frequency range using a preset data processing model to obtain target suspension data. Compared with existing technologies, this invention obtains at least one initial suspension frequency range, filters the obtained initial suspension frequency range to determine the final required suspension frequency, and then processes the target suspension data using a preset data processing model in conjunction with the suspension constraint information, thereby completing the design of the vehicle suspension system and obtaining the best-performing suspension data. This optimizes the suspension system data from the design stage, avoiding the technical problems of poor noise, vibration, and harshness (NVH) in traditional suspension systems, which result in significant noise and affect the user experience. This invention also reduces the noise generated by the suspension system. Attached Figure Description

[0043] Figure 1 This is a schematic diagram of the suspended data generation device in the hardware operating environment involved in the embodiments of the present invention;

[0044] Figure 2 This is a flowchart illustrating the first embodiment of the suspended data generation method of the present invention;

[0045] Figure 3 This is a schematic diagram of a suspension noise simulation image according to an embodiment of the suspension data generation method of the present invention;

[0046] Figure 4 This is a flowchart illustrating the second embodiment of the suspended data generation method of the present invention;

[0047] Figure 5 This is a schematic diagram of the subframe modal frequency image according to an embodiment of the suspension data generation method of the present invention;

[0048] Figure 6 This is a flowchart illustrating the third embodiment of the suspended data generation method of the present invention;

[0049] Figure 7 This is a flowchart illustrating the fourth embodiment of the suspended data generation method of the present invention;

[0050] Figure 8 This is a schematic diagram of the suspended space shape in an embodiment of the suspended data generation method of the present invention;

[0051] Figure 9 This is a schematic diagram of a suspension model according to an embodiment of the suspension data generation method of the present invention;

[0052] Figure 10This is a structural block diagram of the first embodiment of the suspended data generation device of the present invention.

[0053] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0054] It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the invention.

[0055] Reference Figure 1 , Figure 1 This is a schematic diagram of the suspended data generation device structure of the hardware operating environment involved in the embodiments of the present invention.

[0056] like Figure 1 As shown, the suspended data generation device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display screen or an input unit such as a keyboard; optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wireless-Fidelity (Wi-Fi) interface). The memory 1005 may be high-speed random access memory (RAM) or stable non-volatile memory (NVM), such as a disk drive. The memory 1005 may also optionally be a storage device independent of the aforementioned processor 1001.

[0057] Those skilled in the art will understand that Figure 1 The structure shown does not constitute a limitation on the suspended data generation device and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0058] like Figure 1 As shown, the memory 1005, which serves as a storage medium, may include an operating system, a network communication module, a user interface module, and a suspended data generation program.

[0059] exist Figure 1In the suspended data generation device shown, the network interface 1004 is mainly used for data communication with the network server; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the suspended data generation device of the present invention can be set in the suspended data generation device, and the suspended data generation device calls the suspended data generation program stored in the memory 1005 through the processor 1001 and executes the suspended data generation method provided in the embodiment of the present invention.

[0060] This invention provides a method for generating suspended data, referring to... Figure 2 , Figure 2 This is a flowchart illustrating the first embodiment of a suspended data generation method according to the present invention.

[0061] In this embodiment, the suspended data generation method includes the following steps:

[0062] Step S10: Upon receiving a suspension design request, obtain at least one initial suspension frequency range.

[0063] It should be noted that the executing entity of this embodiment can be a device with data acquisition, data processing and data transmission functions, such as a testing device or a control computer. This embodiment does not impose specific limitations on this. In this embodiment and the following embodiments, a testing device will be used as an example for explanation.

[0064] It is worth noting that the suspension design request can be the suspension design information input by the user based on the test equipment. The suspension design request can be the request instruction obtained by the user based on the noise, vibration and harshness (NVH) development experience and the characteristics of the basic vehicle model, and importing the necessary input parameters for optimization settings as required. This embodiment does not impose specific restrictions on this.

[0065] It is understandable that the initial suspension frequency range refers to the suspension frequency range obtained through virtual simulation or by performing subframe object testing on the designed vehicle to obtain the noise transfer function (NTF).

[0066] In practical implementation, during vehicle development, platform development comes first, with chassis components such as the subframe designed before the overall vehicle. Noise transmission results can be obtained through virtual simulation or NTF testing of the subframe. Noise transmission refers to the vibration noise transmission function from the subframe mounting point to the driver or rear passenger compartment. (Refer to...) Figure 3 , Figure 3To obtain the NTF test results for the subframe, the horizontal axis represents frequency and the vertical axis represents amplitude. In this embodiment, the initial suspension frequency range can be 81-94Hz, 100-110Hz, or 110-120Hz, etc. This embodiment does not impose specific limitations on this.

[0067] Step S20: Filter the initial suspension frequency range to obtain the target suspension frequency range.

[0068] It should be noted that the target suspension frequency range refers to the suspension system frequency range obtained after screening the initial suspension frequency range. Due to vehicle resonance or other reasons, the subframe modal frequency and transmission resonance frequency cannot coincide with the suspension system frequency. Therefore, when screening the initial suspension frequency range, the subframe modal frequency and transmission resonance frequency can be referenced to obtain the target suspension frequency range.

[0069] Step S30: Determine the suspension constraint information based on the suspension design request.

[0070] It is understood that the suspension constraint information can be suspension weight information, suspension digital model information, and suspension mounting point dynamic stiffness information, etc., and this embodiment does not impose specific restrictions on this.

[0071] In this embodiment, the suspension weight information, suspension digital model information, and suspension mounting point dynamic stiffness information can be used to control the subsequent establishment of the suspension system model, ensuring the integrity of the model and increasing the credibility of the suspension system model.

[0072] Step S40: Based on the suspension constraint information and the target suspension frequency range, perform data processing using a preset data processing model to obtain target suspension data.

[0073] It should be understood that the preset data processing model is used to model the suspension system based on the target suspension frequency range, suspension weight information, suspension digital model information, and suspension installation point dynamic stiffness information, to obtain the optimal data of the suspension system model, and then obtain the optimized suspension data, which is denoted as the target suspension data.

[0074] In practice, CATIA modeling software can be used when building the model, or other modeling models with the same or similar functions can be used. This embodiment does not impose any specific restrictions on this.

[0075] This embodiment discloses a method for obtaining at least one initial suspension frequency range upon receiving a suspension design request; filtering the initial suspension frequency range to obtain a target suspension frequency range; determining suspension constraint information based on the suspension design request; and processing the suspension constraint information and the target suspension frequency range using a preset data processing model to obtain target suspension data. This embodiment obtains at least one initial suspension frequency range, filters the obtained initial suspension frequency range to determine the final required suspension frequency, and then processes the target suspension data using a preset data processing model in conjunction with the suspension constraint information, thereby completing the design of the vehicle suspension system and obtaining the best-performing suspension data. This optimizes the suspension system data from the design stage, avoiding the technical problems of poor noise, vibration, and harshness (NVH) in traditional suspension systems in the prior art, which result in significant noise affecting the user experience. This method reduces the noise generated by the suspension system.

[0076] refer to Figure 4 , Figure 4 This is a flowchart illustrating a second embodiment of a suspended data generation method according to the present invention.

[0077] Based on the first embodiment described above, in this embodiment, step S20 includes:

[0078] Step S201: Obtain the target subframe modal frequency and transmission parameter information.

[0079] It should be noted that the target subframe modal frequency can be the subframe modal frequency under simulated normal driving or parking conditions, used to quantify the vibration frequency and vibration mode of the subframe; the transmission parameter information includes: transmission order information and transmission resonance frequency, where the transmission order information refers to the transmission fault order information, and the transmission resonance frequency refers to the frequency at which the transmission vibrates with a larger amplitude than other frequencies and wavelengths at a specific frequency and wavelength.

[0080] Further, step S201 includes:

[0081] Modal frequency detection was performed on the subframe to obtain a subframe modal frequency image;

[0082] Determine the target subframe modal frequency in the subframe modal frequency image;

[0083] Determine the transmission vibration color diagram based on the aforementioned suspension design request;

[0084] The transmission order information and transmission resonance frequency are determined based on the transmission vibration color image.

[0085] It should be understood that the target subframe modal frequency refers to the frequency parameter corresponding to the peak value in the subframe modal frequency image, for reference. Figure 5 , Figure 5 There are three peaks, namely 102.5HZ, 109HZ and 120HZ, that is, the target subframe modal frequencies are 102.5HZ, 109HZ and 120HZ. This embodiment does not impose specific restrictions on these frequencies.

[0086] In practical implementation, the subframe modal frequencies or CAE simulation values ​​under test constraints are used to obtain the subframe modal frequency image. The subframe modal frequencies are then read by finding the extremum function. The frequency corresponding to the peak value in the subframe modal frequency image is recorded as the target subframe modal frequency.

[0087] It is understandable that transmission order information refers to the fault order information of the transmission, and transmission resonance frequency refers to the frequency at which the transmission vibrates with a larger amplitude than other frequencies and wavelengths at a specific frequency and wavelength.

[0088] Step S202: Filter the initial suspension frequency range according to the target subframe modal frequency and transmission parameter information to obtain the target suspension frequency range.

[0089] It is worth noting that, due to vehicle resonance or other reasons, the subframe modal frequency and the transmission resonance frequency cannot coincide with the frequency of the suspension system. After obtaining the target subframe modal frequency and transmission parameter information, the initial suspension frequency range corresponding to the target subframe modal frequency and transmission parameter information will be eliminated to obtain the target suspension frequency range.

[0090] Furthermore, in order to filter the initial mount frequency range based on the target subframe modal frequency and transmission parameter information, step S202 includes:

[0091] Match the target subframe modal frequency with the initial suspension frequency range;

[0092] The first suspension frequency range is obtained based on the matching result and the initial suspension frequency range;

[0093] Based on the transmission order information and the transmission resonance frequency, the first suspension frequency range is filtered to obtain the target suspension frequency range.

[0094] In a specific implementation, taking the initial suspension frequency ranges of 81-94 Hz, 100-110 Hz, 110-120 Hz, and 200-230 Hz as examples, in this embodiment, the subframe modal frequencies are 102.5 Hz, 109 Hz, and 120 Hz, so the first suspension frequency ranges are 81-94 Hz and 200-230 Hz, and the transmission resonance frequency is 220 Hz. After two screenings, the target suspension frequency range is 81-94 Hz.

[0095] This embodiment discloses the acquisition of target subframe modal frequencies and transmission parameter information; the initial suspension frequency range is filtered based on the target subframe modal frequencies and transmission parameter information to obtain a target suspension frequency range. This embodiment obtains a target suspension frequency range by acquiring target subframe modal frequencies and transmission parameter information and filtering a suitable target suspension frequency range according to the requirements of the suspension system modal frequencies, so as to facilitate subsequent model component and data optimization.

[0096] refer to Figure 6 , Figure 6 This is a flowchart illustrating a third embodiment of a suspended data generation method according to the present invention.

[0097] Based on the second embodiment described above, in this embodiment, step S10 includes:

[0098] Step S101: Upon receiving a suspension design request, perform suspension noise simulation using a preset virtual simulation model to obtain a suspension noise simulation image.

[0099] It should be noted that the preset virtual simulation model refers to the suspension noise simulation image obtained through virtual simulation or subframe object test NTF. In the case of noise transmission detection of the vehicle, it refers to the vibration noise transmission function from the subframe mounting point to the driver or rear passenger in the vehicle, obtaining a noise simulation image with frequency on the horizontal axis and amplitude on the vertical axis.

[0100] Further, step S101 includes:

[0101] Determine the noise simulation excitation point and noise simulation response point based on the suspension design request;

[0102] Suspended noise simulation is performed using a preset virtual simulation model based on the noise simulation excitation point and the noise simulation response point.

[0103] The noise simulation results are converted to a new format to obtain a suspended noise simulation image.

[0104] It is understood that the noise simulation excitation point can be the subframe mounting point, and the noise simulation response point can be the driver or rear passenger seat inside the vehicle. This embodiment does not impose specific restrictions on this.

[0105] In practice, the noise simulation results can be converted into an Excel spreadsheet format to facilitate the selection of a suitable initial suspension frequency range and make it easier for users to choose.

[0106] Step S102: Determine the preset noise frequency threshold according to the suspension design request.

[0107] It should be noted that the preset noise frequency threshold is used to eliminate some suspended parameters that do not meet the user's requirements. In this embodiment, the preset noise frequency threshold can be 55dB, or it can be other frequency thresholds. This embodiment does not impose any specific restrictions on this.

[0108] Step S103: Determine at least one initial suspension frequency range based on the preset noise frequency threshold and the suspension noise simulation image.

[0109] In the specific implementation, refer to Figure 3 , Figure 3 In this study, by selecting a frequency range where the noise level is below 55dB for both the driver's right ear and the middle of the rear seat in the driver's compartment, for example... Figure 3 The 81-94Hz frequency range shown can also be 100-110Hz, 110-120Hz, or 200-230Hz, etc. This embodiment does not impose specific limitations on this.

[0110] This embodiment discloses that upon receiving a suspension design request, suspension noise simulation is performed using a preset virtual simulation model to obtain a suspension noise simulation image; a preset noise frequency threshold is determined based on the suspension design request; and at least one initial suspension frequency range is determined based on the preset noise frequency threshold and the suspension noise simulation image. In this embodiment, the suspension system is virtually simulated using a preset virtual simulation model to obtain a suspension noise simulation image and determine a noise threshold, thereby selecting a frequency range below the noise threshold as the initial suspension frequency range.

[0111] refer to Figure 7 , Figure 7 This is a flowchart illustrating the fourth embodiment of a suspended data generation method according to the present invention.

[0112] Based on the third embodiment described above, in this embodiment, step S40 includes:

[0113] Step S401: Extract the suspension weight information, suspension digital model information, and suspension mounting point dynamic stiffness information from the suspension constraint information.

[0114] It is understood that the suspension weight information refers to the weight requirement of the suspension system. In this embodiment, the suspension weight information is less than or equal to 0.8 kg, for example, 0.796 kg, etc. This embodiment does not impose specific restrictions on this.

[0115] It is easy to understand that the suspended digital model information refers to the digital model of the basic spatial shape of the suspended structure, as referenced. Figure 8 Only the basic outline information of the suspension is available. The suspension model is obtained by modeling the spatial shape of the suspension using a digital model.

[0116] In addition, the dynamic stiffness information of the suspension mounting point is set to >10000 N / mm in three directions in this embodiment. Other dynamic stiffness requirements are also possible, but this embodiment does not impose specific restrictions on them.

[0117] Step S402: Based on the suspension weight information, the suspension digital model information, the suspension mounting point stiffness information, and the target suspension frequency range, a model is constructed using a preset model to obtain the suspension model.

[0118] In the specific implementation, the suspension weight is set to 0.796 kg, and the suspension digital model information is as follows: Figure 9 As shown, NTF ≤ 55dB, dynamic stiffness > 10000N / mm, target suspension frequency is 85HZ, and after modeling the model components, the following results are obtained: Figure X The suspension model shown.

[0119] Step S403: Perform data processing on the suspension model to obtain target suspension data.

[0120] This embodiment discloses the following steps: extracting suspension weight information, suspension digital model information, and suspension mounting dynamic stiffness information from the suspension constraint information; constructing a model based on the suspension weight information, suspension digital model information, suspension mounting dynamic stiffness information, and target suspension frequency range using a preset model to obtain a suspension model; and processing the suspension model to obtain target suspension data. Specifically, this embodiment uses suspension weight information, suspension digital model information, and suspension mounting dynamic stiffness information combined with the target suspension frequency range to model the suspension model, and then processes the suspension model to obtain optimized target suspension data.

[0121] Furthermore, this embodiment of the invention also proposes a storage medium storing a suspended data generation program, which, when executed by a processor, implements the steps of the suspended data generation method described above.

[0122] Since this storage medium adopts all the technical solutions of all the above embodiments, it has at least all the beneficial effects brought about by the technical solutions of the above embodiments, which will not be repeated here.

[0123] Reference Figure 10 , Figure 10 This is a structural block diagram of the first embodiment of the suspended data generation device of the present invention.

[0124] like Figure 10 As shown, the suspended data generation device proposed in this embodiment of the invention includes:

[0125] The acquisition module 10 is used to acquire at least one initial suspension frequency range when a suspension design request is received.

[0126] The filtering module 20 is used to filter the initial suspension frequency range to obtain the target suspension frequency range.

[0127] The constraint module 30 is used to determine suspension constraint information based on the suspension design request.

[0128] The processing module 40 is used to process data according to the suspension constraint information and the target suspension frequency range through a preset data processing model to obtain target suspension data.

[0129] This embodiment discloses a method for obtaining at least one initial suspension frequency range upon receiving a suspension design request; filtering the initial suspension frequency range to obtain a target suspension frequency range; determining suspension constraint information based on the suspension design request; and processing the suspension constraint information and the target suspension frequency range using a preset data processing model to obtain target suspension data. This embodiment obtains at least one initial suspension frequency range, filters the obtained initial suspension frequency range to determine the final required suspension frequency, and then processes the target suspension data using a preset data processing model in conjunction with the suspension constraint information, thereby completing the design of the vehicle suspension system and obtaining the best-performing suspension data. This optimizes the suspension system data from the design stage, avoiding the technical problems of poor noise, vibration, and harshness (NVH) in traditional suspension systems in the prior art, which result in significant noise affecting the user experience. This method reduces the noise generated by the suspension system.

[0130] In one embodiment, the filtering module 20 is further configured to acquire target subframe modal frequency and transmission parameter information; and to filter the initial suspension frequency range based on the target subframe modal frequency and transmission parameter information to obtain the target suspension frequency range.

[0131] In one embodiment, the screening module 20 is further configured to acquire target subframe modal frequencies and transmission parameter information, including: performing modal frequency detection on the subframe to obtain a subframe modal frequency image; determining the target subframe modal frequency in the subframe modal frequency image; determining a transmission vibration color image based on the suspension design request; and determining transmission order information and transmission resonance frequency based on the transmission vibration color image.

[0132] In one embodiment, the filtering module 20 is further configured to match the target subframe modal frequency with the initial suspension frequency range; obtain a first suspension frequency range based on the matching result and the initial suspension frequency range; and perform frequency filtering on the first suspension frequency range based on the transmission order information and the transmission resonance frequency to obtain a target suspension frequency range.

[0133] In one embodiment, the acquisition module 10 is further configured to, upon receiving a suspension design request, perform suspension noise simulation using a preset virtual simulation model to obtain a suspension noise simulation image; determine a preset noise frequency threshold based on the suspension design request; and determine at least one initial suspension frequency range based on the preset noise frequency threshold and the suspension noise simulation image.

[0134] In one embodiment, the acquisition module 10 is further configured to determine the noise simulation excitation point and the noise simulation response point according to the suspension design request; perform suspension noise simulation through a preset virtual simulation model according to the noise simulation excitation point and the noise simulation response point; and convert the noise simulation results into a format to obtain a suspension noise simulation image.

[0135] In one embodiment, the processing module 40 is further configured to extract the suspension weight information, suspension digital model information, and suspension mounting point stiffness information from the suspension constraint information; construct a model based on the suspension weight information, suspension digital model information, suspension mounting point stiffness information, and target suspension frequency range using a preset model to obtain a suspension model; and perform data processing on the suspension model to obtain target suspension data.

[0136] It should be understood that the above are merely illustrative examples and do not constitute any limitation on the technical solutions of the present invention. In specific applications, those skilled in the art can make settings as needed, and the present invention does not impose any restrictions on this.

[0137] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of this invention. In practical applications, those skilled in the art can select some or all of the workflow to achieve the purpose of this embodiment according to actual needs, and no restrictions are imposed here.

[0138] In addition, for technical details not described in detail in this embodiment, please refer to the suspended data generation method provided in any embodiment of the present invention, which will not be repeated here.

[0139] Furthermore, it should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0140] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0141] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as read-only memory (ROM) / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0142] The above are merely preferred embodiments of the present invention and do not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A method for generating suspended data, characterized in that, The suspended data generation method includes: Upon receiving a suspension design request, at least one initial suspension frequency range is obtained; The initial suspension frequency range is filtered to obtain the target suspension frequency range; Determine the suspension constraint information based on the suspension design request; Based on the suspension constraint information and the target suspension frequency range, data is processed using a preset data processing model to obtain target suspension data; The step of filtering the initial suspension frequency range to obtain the target suspension frequency range includes: Obtain target subframe modal frequencies and transmission parameter information; The initial suspension frequency range is filtered based on the target subframe modal frequency and transmission parameter information to obtain the target suspension frequency range.

2. The suspended data generation method as described in claim 1, characterized in that, The transmission parameter information includes: transmission order information and transmission resonance frequency; The acquisition of target subframe modal frequencies and transmission parameter information includes: Modal frequency detection was performed on the subframe to obtain a subframe modal frequency image; Determine the target subframe modal frequency in the subframe modal frequency image; Determine the transmission vibration color diagram based on the aforementioned suspension design request; The transmission order information and transmission resonance frequency are determined based on the transmission vibration color image.

3. The suspended data generation method as described in claim 2, characterized in that, The step of filtering the initial mount frequency range based on the target subframe modal frequency and transmission parameter information to obtain the target mount frequency range includes: Match the target subframe modal frequency with the initial suspension frequency range; The first suspension frequency range is obtained based on the matching result and the initial suspension frequency range; Based on the transmission order information and the transmission resonance frequency, the first suspension frequency range is filtered to obtain the target suspension frequency range.

4. The suspended data generation method as described in claim 1, characterized in that, Upon receiving a suspension design request, obtaining at least one initial suspension frequency range includes: Upon receiving a suspension design request, suspension noise simulation is performed using a preset virtual simulation model to obtain a suspension noise simulation image; Determine the preset noise frequency threshold based on the suspension design request; At least one initial suspension frequency range is determined based on the preset noise frequency threshold and the suspension noise simulation image.

5. The suspended data generation method as described in claim 4, characterized in that, The step of simulating suspension noise using a preset virtual simulation model to obtain a suspension noise simulation image includes: Determine the noise simulation excitation point and noise simulation response point based on the suspension design request; Suspended noise simulation is performed using a preset virtual simulation model based on the noise simulation excitation point and the noise simulation response point. The noise simulation results are converted to a new format to obtain a suspended noise simulation image.

6. The suspended data generation method according to any one of claims 1-5, characterized in that, The step of processing data according to the suspension constraint information and the target suspension frequency range through a preset data processing model to obtain target suspension data includes: Extract the suspension weight information, suspension digital model information, and suspension mounting point dynamic stiffness information from the suspension constraint information; The suspension model is obtained by constructing a model using a preset model based on the suspension weight information, the suspension digital model information, the suspension mounting point stiffness information, and the target suspension frequency range. The suspension model is processed to obtain target suspension data.

7. A suspended data generation device, characterized in that, The suspended data generation device includes: The acquisition module is used to acquire at least one initial suspension frequency range when a suspension design request is received; The filtering module is used to filter the initial suspension frequency range to obtain the target suspension frequency range; The constraint module is used to determine suspension constraint information based on the suspension design request; The processing module is used to process data according to the suspension constraint information and the target suspension frequency range through a preset data processing model to obtain target suspension data; The filtering module is also used to obtain target subframe modal frequency and transmission parameter information; and to filter the initial suspension frequency range according to the target subframe modal frequency and transmission parameter information to obtain the target suspension frequency range.

8. A suspended data generation device, characterized in that, The suspended data generation device includes: a memory, a processor, and a suspended data generation program stored in the memory and executable on the processor, the suspended data generation program being configured to implement the suspended data generation method as described in any one of claims 1 to 6.

9. A storage medium, characterized in that, The storage medium stores a suspended data generation program, which, when executed by a processor, implements the suspended data generation method as described in any one of claims 1 to 6.

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