Modal frequency avoidance method, device, equipment and storage medium for suspension system

Abstract

The present application discloses a modal frequency avoidance method, device, computer equipment and computer-readable storage medium for a suspension system. The method comprises: setting parameters of components in the suspension system, wherein there are multiple components and multiple parameters of the components; obtaining multiple modal frequency avoidance functions according to multiple parameters of the multiple components; obtaining an optimal modal frequency avoidance function from the multiple modal frequency avoidance functions to determine the parameters of the components in the suspension system corresponding to the optimal modal frequency avoidance function for frequency avoidance, thereby accurately finding a frequency avoidance method.

Description

Technical Field

[0001] The present application relates to the field of automobile technology, and in particular to a modal frequency avoidance method, device, computer equipment and computer-readable storage medium for a suspension system. Background Art

[0002] With the popularity of high-end cars, consumers have higher and higher requirements for various performance indicators of cars, hoping to have a more comfortable and smooth riding experience and a quieter riding environment. In this context, car NVH performance is increasingly valued by manufacturers. Generally, in the forward development of passenger car NVH, in order to avoid resonance of connected systems during design, engineers from various departments can negotiate to formulate the modal frequency range of each system and draw it into a table, mark the modal frequency of each system, stagger the modal frequencies of the connected systems, and obtain the modal frequency planning table for the whole vehicle. In the design process, the ideal state of modal matching is that the modes of each system itself are decoupled from each other, and at the same time, all adjacent system modes are decoupled from each other.

[0003] It can be seen from the vibration equation that vibration is only related to mass, stiffness and damping. In the modal frequency avoidance design of the suspension system, a common approach is to rely on the simulated modal formation and modal strain energy distribution, combined with design experience to give a variety of optimization schemes to change the mass and isotropic stiffness, so that the modal frequency of the system changes, thereby achieving the frequency avoidance effect. However, this approach cannot find the optimal frequency avoidance solution. Summary of the invention

[0004] The main purpose of this application is to provide a modal frequency avoidance method, device, computer equipment and computer-readable storage medium for a suspension system, aiming to solve the technical problem that the existing method relies on the simulated modal formation and modal strain energy distribution, combines design experience to provide a variety of optimization solutions to change the mass and isotropic stiffness, so that the modal frequency of the system changes, thereby achieving a frequency avoidance effect, but this approach cannot find the optimal frequency avoidance solution.

[0005] In a first aspect, the present application provides a modal frequency avoidance method for a suspension system, the method comprising the following steps:

[0006] Setting parameters of components in the suspension system, wherein there are multiple components and multiple parameters of the components;

[0007] Acquire multiple modal frequency avoidance functions according to multiple parameters of multiple components;

[0008] An optimal modal frequency avoidance function is obtained from the multiple modal frequency avoidance functions to determine the parameters of the components in the suspension system corresponding to the optimal modal frequency avoidance function for frequency avoidance.

[0009] Preferably, the obtaining of multiple modal frequency avoidance functions according to multiple parameters of multiple components includes:

[0010] Based on multiple parameters of the multiple components selected by DOE analysis, multiple groups of modal frequency values ​​of various orders are obtained;

[0011] Analyze the preset frequency avoidance modal frequency interval value based on DOE, and obtain the middle value of the preset frequency avoidance modal frequency interval value;

[0012] The modal frequency avoidance function is obtained by analyzing the multiple groups of modal frequency values ​​of each order and the intermediate value based on DOE, wherein there are multiple modal frequency avoidance functions.

[0013] Preferably, the step of analyzing the multiple groups of modal frequency values ​​of each order and the intermediate values ​​based on DOE to obtain the modal frequency avoidance function includes:

[0014] Analyze the multiple groups of modal frequency values ​​of each order and the intermediate value based on DOE, obtain the absolute difference between the modal frequency values ​​of each order and the intermediate value in the same group, and form a set;

[0015] The absolute differences in the set are compared, and the minimum absolute difference is used as the modal frequency avoidance function.

[0016] Preferably, before obtaining multiple groups of modal frequency values ​​of each order based on multiple parameters of the multiple components selected by DOE analysis, the method includes:

[0017] A preset number of parameters of the components are selected in a preset sampling interval based on a preset sampling method.

[0018] Preferably, the determining of the optimal modal frequency avoidance function from the plurality of modal frequency avoidance functions comprises:

[0019] Comparing the obtained multiple modal frequency avoidance functions with preset modal frequency avoidance values;

[0020] Acquire a target modal frequency avoidance function that satisfies the preset modal frequency avoidance value;

[0021] An optimal modal frequency avoidance function is determined according to the target modal frequency avoidance function.

[0022] Preferably, determining the optimal modal frequency avoidance function according to the target modal frequency avoidance function comprises:

[0023] Determining whether the target modal frequency avoidance function obtained satisfies an optimal condition;

[0024] If it is determined that the target modal frequency avoidance function satisfies the optimal condition, then determining the target frequency avoidance function that satisfies the optimal condition as the optimal modal frequency avoidance function;

[0025] If it is determined that none of the target modal frequency avoidance functions satisfies the optimal condition, the parameters of the components are reselected.

[0026] Preferably, after comparing the obtained multiple modal frequency avoidance functions with preset modal frequency avoidance values, the method further includes:

[0027] If the plurality of modal frequency avoidance functions are all less than or equal to the preset modal frequency avoidance value, the parameters of the suspension system are reselected.

[0028] In a second aspect, the present application further provides a modal frequency avoidance device for a suspension system, the device comprising:

[0029] A setting module, used to set parameters of components in the suspension system, wherein there are multiple components and multiple parameters of the components;

[0030] An acquisition module, used for acquiring a plurality of modal frequency avoidance functions according to a plurality of parameters of a plurality of the components;

[0031] The determination module is used to obtain an optimal modal frequency avoidance function from the multiple modal frequency avoidance functions to determine the parameters of the components in the suspension system corresponding to the optimal modal frequency avoidance function for frequency avoidance.

[0032] In a third aspect, the present application also provides a computer device, comprising a processor, a memory, and a computer program stored in the memory and executable by the processor, wherein when the computer program is executed by the processor, the steps of the modal frequency avoidance method of the suspension system as described above are implemented.

[0033] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the steps of the modal frequency avoidance method of the suspension system as described above are implemented.

[0034] The present application provides a modal frequency avoidance method, apparatus, computer equipment and computer-readable storage medium for a suspension system, which sets parameters of components in the suspension system, wherein there are multiple components and multiple parameters of the components; obtains multiple modal frequency avoidance functions based on multiple parameters of the multiple components; obtains an optimal modal frequency avoidance function from the multiple modal frequency avoidance functions to determine the parameters of the components in the suspension system corresponding to the optimal modal frequency avoidance function for frequency avoidance, thereby accurately finding a frequency avoidance method. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0036] Figure 1 A schematic flow chart of a modal frequency avoidance method for a suspension system provided in an embodiment of the present application;

[0037] Figure 2 A schematic block diagram of a modal frequency avoidance device for a suspension system provided in an embodiment of the present application;

[0038] Figure 3 The present invention is a block diagram showing the structure of a computer device according to an embodiment of the present application.

[0039] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0041] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may also be decomposed, combined or partially merged, so the actual execution order may change according to actual conditions.

[0042] The embodiment of the present application provides a method, device, computer equipment and computer readable storage medium for modal frequency avoidance of a suspension system. The method for modal frequency avoidance of a suspension system can be applied to a computer equipment, which can be an electronic device such as a laptop computer or a desktop computer.

[0043] In conjunction with the accompanying drawings, some embodiments of the present application are described in detail below. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0044] Please refer to Figure 1 , Figure 1 A schematic flow chart of a modal frequency avoidance method for a suspension system provided in an embodiment of the present application.

[0045] like Figure 1As shown, the method includes steps S101 to S103.

[0046] Step S101, setting parameters of components in a suspension system, wherein there are multiple components and multiple parameters of the components.

[0047] Exemplarily, the suspension system is a suspension system of a vehicle, and the components of the suspension system include suspension bushings, shock absorbers, springs, and wheel brackets. For example, the stiffness of the suspension bushing, the damping of the shock absorber, the stiffness of the spring, and the thickness of the wheel bracket are set, and the stiffness of the suspension bushing, the damping of the shock absorber, the stiffness of the spring, and the thickness of the wheel bracket are set as variables, and there are multiple stiffness of the suspension bushing, the damping of the shock absorber, the stiffness of the spring, and the thickness of the wheel bracket, and specific restrictions are made on this.

[0048] Step S102: acquiring a plurality of modal frequency avoidance functions according to a plurality of parameters of a plurality of the components.

[0049] Exemplarily, when the stiffness of the suspension bushing, the damping of the shock absorber, the stiffness of the spring, and the thickness of the wheel bracket are set as variables, multiple modal frequency avoidance functions are obtained by calculating the stiffness of multiple suspension bushings, the damping of the shock absorber, the stiffness of the spring, and the thickness of the wheel bracket. Each modal frequency avoidance function is a frequency avoidance value corresponding to the stiffness of each suspension bushing, the damping of the shock absorber, the stiffness of the spring, and the thickness of the wheel bracket.

[0050] Specifically, the method of obtaining multiple modal frequency avoidance functions based on multiple parameters of multiple components includes: obtaining multiple groups of modal frequency values ​​of each order based on multiple parameters of multiple components selected through DOE analysis; obtaining intermediate values ​​of preset frequency avoidance modal frequency interval values ​​based on DOE analysis; obtaining modal frequency avoidance functions based on multiple groups of modal frequency values ​​of each order and the intermediate values ​​based on DOE analysis, wherein there are multiple modal frequency avoidance functions.

[0051] For example, when the stiffness of multiple suspension bushings, the damping of shock absorbers, the stiffness of springs, and the thickness of wheel brackets are set as variables, a certain amount of the stiffness of suspension bushings, the damping of shock absorbers, the stiffness of springs, and the thickness of wheel brackets are selected from the stiffness of multiple suspension bushings, the damping of shock absorbers, the stiffness of springs, and the thickness of wheel brackets, and the selected certain amount of the stiffness of suspension bushings, the damping of shock absorbers, the stiffness of springs, and the thickness of wheel brackets are analyzed through DOE analysis to obtain multiple groups of frequency avoidance values ​​of each order mode. For example, the design goal is:

[0052] OBJ1=Min{|mod e1-T1|,|mod e2-T1|...|mod e m -T1|}

[0053] OBJ2=Min{|mod e1-T2|,|mod e2-T2|...|mode m -T2|} ...

[0054] OBJ m =Min{|mod e1-T n |,|mod e2-T n |...|mod e m -T n |}

[0055] Where m∈N, modem is the mth-order modal frequency value of the component.

[0056] The preset frequency avoidance modal frequency interval values ​​are analyzed by DOE to obtain the intermediate values ​​of the preset frequency avoidance modal frequency interval values. For example, the preset frequency avoidance modal frequency interval value is [T n -a n ,T n +a n ], then the middle value of the preset frequency avoidance modal frequency interval is T n , where n∈N,T n is the median of the nth frequency interval to be avoided, 2a n is the range of variation of the nth frequency interval to be avoided.

[0057] When the middle values ​​of multiple groups of each-order modal frequency avoidance values ​​and preset frequency avoidance modal frequency interval values ​​are obtained, the multiple groups of each-order modal frequency avoidance values ​​are respectively compared with the middle values ​​of the preset frequency avoidance modal frequency interval values ​​to obtain the modal frequency avoidance function, wherein the modal frequency avoidance function is multiple. For example, if the preset frequency avoidance modal frequency interval value is [115, 125], then the middle value of the preset frequency avoidance modal frequency interval value is 120, and each group of each-order modal frequency avoidance values ​​in the multiple groups of each-order modal frequency avoidance values ​​is compared with the modal frequency 120 to obtain the modal frequency avoidance function, wherein the modal frequency avoidance function is multiple.

[0058] Specifically, the DOE-based analysis of the multiple groups of modal frequency values ​​and the intermediate values ​​to obtain the modal frequency avoidance function includes: based on the DOE analysis of the multiple groups of modal frequency values ​​and the intermediate values, obtaining the absolute difference between the modal frequency values ​​of the same group and the intermediate values, and forming a set; comparing the absolute differences in the set, and taking the minimum absolute difference as the modal frequency avoidance function.

[0059] Exemplarily, each group of each-order modal frequency avoidance values ​​in the multiple groups of each-order modal frequency avoidance values ​​is compared with the modal frequency. For example, each group of each-order modal frequency avoidance values ​​in the multiple groups of each-order modal frequency avoidance values ​​is compared with the modal frequency 120, OBJ1 = Min{|mod e1-120|,|mod e2-120|...|mod e m -120}, obtain the absolute difference of the modal frequency values ​​greater than 120 in the modal frequency values ​​of each order in the same group, generate a corresponding set with the obtained absolute difference corresponding to the modal frequencies of each order in the same group, compare the absolute differences in the set, and obtain the minimum absolute difference. Compare the sets corresponding to the modal frequency values ​​of each order in each group in turn with the minimum absolute difference, obtain the minimum absolute difference, and use the minimum absolute difference as the modal frequency avoidance function.

[0060] Specifically, before obtaining multiple groups of modal frequency values ​​of each order based on the multiple parameters of the multiple components selected by DOE analysis, the method includes: selecting a preset number of parameters of the components in a preset sampling interval based on a preset sampling method.

[0061] Exemplarily, a preset number of suspension bushing stiffness, shock absorber damping, spring stiffness, and wheel bracket thickness are selected in a preset sampling interval by using a preset method from a plurality of suspension bushing stiffness, shock absorber damping, spring stiffness, and wheel bracket thickness. For example, the Hammersley sampling method is used to sample in the design variable interval, and the number of samples is 488.

[0062] Step S103: acquiring an optimal modal frequency avoidance function from the plurality of modal frequency avoidance functions, so as to determine parameters of components in the suspension system corresponding to the optimal modal frequency avoidance function for frequency avoidance.

[0063] Exemplarily, when multiple modal frequency avoidance functions are obtained, an optimal modal frequency avoidance function is obtained from the multiple modal frequency avoidance functions, and the parameters of the corresponding components in the suspension system are determined by the optimal modal frequency avoidance function, for example, the stiffness of the corresponding suspension bushing, the damping of the shock absorber, the stiffness of the spring, and the thickness of the wheel side bracket are determined, and the frequency avoidance is completed by designing the stiffness of the suspension bushing, the damping of the shock absorber, the stiffness of the spring, and the thickness of the wheel side bracket.

[0064] Specifically, the determining of the optimal modal frequency avoidance function from the multiple modal frequency avoidance functions includes: comparing the multiple modal frequency avoidance functions obtained with preset modal frequency avoidance values; obtaining a target modal frequency avoidance function that satisfies the preset modal frequency avoidance value; and determining the optimal modal frequency avoidance function based on the target modal frequency avoidance function.

[0065] Exemplarily, after obtaining multiple modal frequency avoidance functions, each modal frequency avoidance function is compared with a preset modal frequency avoidance value. For example, the preset modal frequency avoidance value is 5 Hz. Each modal frequency avoidance function is compared with the preset modal frequency avoidance value 5 Hz to determine a modal frequency avoidance function greater than the preset modal frequency avoidance value 5 Hz. The modal frequency avoidance function greater than the preset modal frequency avoidance value 5 Hz is used as the target modal frequency avoidance function. After obtaining the target modal frequency avoidance function, the optimal modal frequency avoidance function is determined through the target modal frequency avoidance function.

[0066] Specifically, determining the optimal modal frequency avoidance function according to the target modal frequency avoidance function includes: determining whether the target modal frequency avoidance function obtained satisfies the optimal condition; if it is determined that the target modal frequency avoidance function satisfies the optimal condition, determining the target frequency avoidance function that satisfies the optimal condition as the optimal modal frequency avoidance function; if it is determined that none of the target modal frequency avoidance functions satisfies the optimal condition, reselecting the parameters of the component, wherein the optimal condition includes minimum weight and / or strongest load-bearing capacity.

[0067] Exemplarily, determine whether the acquired target modal frequency avoidance function satisfies the optimal condition. If it is determined that the target modal frequency avoidance function satisfies the optimal condition, then determine that the target frequency avoidance function that satisfies the optimal condition is the optimal modal frequency avoidance function. For example, the optimal condition is the smallest mass and / or the strongest load-bearing capacity. Obtain the modal frequency avoidance function with the smallest mass of the suspension bushing, shock absorber, spring, and wheel-side bracket. And / or, obtain the modal frequency avoidance function with the strongest load-bearing capacity of the suspension bushing, shock absorber, spring, and wheel-side bracket. Match the obtained modal frequency avoidance function with the target modal frequency avoidance function. If they match, it is determined that the optimal condition is met. If they do not match, it is determined that the optimal condition is not met. If the optimal condition is not met, the stiffness of the suspension bushing, the damping of the shock absorber, the stiffness of the spring and the thickness of the wheel bracket that are greater than a certain amount are selected from the set stiffness of the suspension bushing, the damping of the shock absorber, the stiffness of the spring and the thickness of the wheel bracket. For example, the Hammersley sampling method is used to sample in the design variable interval, with the number of samples being 588, so as to obtain multiple modal frequency avoidance functions.

[0068] Specifically, after comparing the obtained multiple modal frequency avoidance functions with the preset modal frequency avoidance value, the method further includes: if the multiple modal frequency avoidance functions are all less than or equal to the preset modal frequency avoidance value, reselecting the parameters of the suspension system.

[0069] Exemplarily, the preset modal avoidance value is 5 Hz, and each modal avoidance function is compared with the preset modal avoidance value 5 Hz. If each modal avoidance function is less than or equal to the preset modal avoidance value 5 Hz, the stiffness of the suspension bushing, the damping of the shock absorber, the stiffness of the spring, and the thickness of the wheel bracket that are greater than a certain amount are reselected from the set stiffness of the suspension bushing, the damping of the shock absorber, the stiffness of the spring, and the thickness of the wheel bracket. For example, sampling is performed in the design variable interval by adopting the Hammersley sampling method, and the number of samples is 588, so as to obtain multiple modal avoidance functions.

[0070] In an embodiment of the present application, parameters of components in a suspension system are set, wherein there are multiple components and multiple parameters of the components; multiple modal frequency avoidance functions are obtained based on the multiple parameters of the multiple components; an optimal modal frequency avoidance function is obtained from the multiple modal frequency avoidance functions to determine the parameters of the components in the suspension system corresponding to the optimal modal frequency avoidance function for frequency avoidance, thereby accurately finding out a frequency avoidance method.

[0071] Please refer to Figure 2 , Figure 2 A schematic block diagram of a modal frequency avoidance device for a suspension system provided in an embodiment of the present application.

[0072] like Figure 2 As shown, the device 400 includes: a setting module 401, an acquisition module 402, and a determination module 403.

[0073] A setting module 401 is used to set parameters of components in the suspension system, wherein there are multiple components and multiple parameters of the components;

[0074] An acquisition module 402 is used to acquire multiple modal frequency avoidance functions according to multiple parameters of multiple components;

[0075] The determination module 403 is used to obtain an optimal modal frequency avoidance function from the multiple modal frequency avoidance functions to determine the parameters of the components in the suspension system corresponding to the optimal modal frequency avoidance function for frequency avoidance.

[0076] The acquisition module 402 is further used for:

[0077] Based on multiple parameters of the multiple components selected by DOE analysis, multiple groups of modal frequency values ​​of various orders are obtained;

[0078] Analyze the preset frequency avoidance modal frequency interval value based on DOE, and obtain the middle value of the preset frequency avoidance modal frequency interval value;

[0079] The modal frequency avoidance function is obtained by analyzing the multiple groups of modal frequency values ​​of each order and the intermediate value based on DOE, wherein there are multiple modal frequency avoidance functions.

[0080] The acquisition module 402 is further used for:

[0081] Analyze the multiple groups of modal frequency values ​​of each order and the intermediate value based on DOE, obtain the absolute difference between the modal frequency values ​​of each order and the intermediate value in the same group, and form a set;

[0082] The absolute differences in the set are compared, and the minimum absolute difference is used as the modal frequency avoidance function.

[0083] Among them, the modal frequency avoidance device of the suspension system is also used for:

[0084] A preset number of parameters of the components are selected in a preset sampling interval based on a preset sampling method.

[0085] The determination module 403 is further used for:

[0086] Comparing the obtained multiple modal frequency avoidance functions with preset modal frequency avoidance values;

[0087] Acquire a target modal frequency avoidance function that satisfies the preset modal frequency avoidance value;

[0088] An optimal modal frequency avoidance function is determined according to the target modal frequency avoidance function.

[0089] The determination module 403 is further used for:

[0090] Determining whether the target modal frequency avoidance function obtained satisfies an optimal condition;

[0091] If it is determined that the target modal frequency avoidance function satisfies the optimal condition, then determining the target frequency avoidance function that satisfies the optimal condition as the optimal modal frequency avoidance function;

[0092] If it is determined that none of the target modal frequency avoidance functions satisfies the optimal condition, the parameters of the component are reselected, wherein the optimal condition includes minimum weight and / or maximum load-bearing capacity.

[0093] Among them, the modal frequency avoidance device of the suspension system is also used for:

[0094] If the plurality of modal frequency avoidance functions are all less than or equal to the preset modal frequency avoidance value, the parameters of the suspension system are reselected.

[0095] It should be noted that those skilled in the art can clearly understand that, for the sake of convenience and brevity of description, the specific working processes of the above-described devices and modules and units can refer to the corresponding processes in the aforementioned modal frequency avoidance method embodiment of the suspension system, and will not be repeated here.

[0096] The apparatus provided in the above embodiment may be implemented in the form of a computer program. The computer program may be Figure 3 Runs on the computer device shown.

[0097] See also Figure 3 , Figure 3 A schematic block diagram of the structure of a computer device provided in an embodiment of the present application. The computer device may be a terminal.

[0098] like Figure 3 As shown, the computer device includes a processor, a memory, and a network interface connected via a system bus, wherein the memory may include a non-volatile storage medium and an internal memory.

[0099] The non-volatile storage medium can store an operating system and a computer program. The computer program includes program instructions, and when the program instructions are executed, the processor can execute any modal frequency avoidance method of the suspension system.

[0100] The processor is used to provide computing and control capabilities and support the operation of the entire computer equipment.

[0101] The internal memory provides an environment for the operation of the computer program in the non-volatile storage medium. When the computer program is executed by the processor, the processor can execute any modal frequency avoidance method of the suspension system.

[0102] The network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art will understand that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0103] It should be understood that the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0104] In one embodiment, the processor is used to run a computer program stored in the memory to implement the following steps:

[0105] Setting parameters of components in the suspension system, wherein there are multiple components and multiple parameters of the components;

[0106] Acquire multiple modal frequency avoidance functions according to multiple parameters of multiple components;

[0107] An optimal modal frequency avoidance function is obtained from the multiple modal frequency avoidance functions to determine the parameters of the components in the suspension system corresponding to the optimal modal frequency avoidance function for frequency avoidance.

[0108] In one embodiment, when the processor is implemented to obtain multiple modal frequency avoidance functions according to multiple parameters of multiple components, it is used to implement:

[0109] Based on multiple parameters of the multiple components selected by DOE analysis, multiple groups of modal frequency values ​​of various orders are obtained;

[0110] Analyze the preset frequency avoidance modal frequency interval value based on DOE, and obtain the middle value of the preset frequency avoidance modal frequency interval value;

[0111] The modal frequency avoidance function is obtained by analyzing the multiple groups of modal frequency values ​​of each order and the intermediate value based on DOE, wherein there are multiple modal frequency avoidance functions.

[0112] In one embodiment, the processor implements the following when analyzing the multiple groups of modal frequency values ​​of each order and the intermediate values ​​based on DOE to obtain the modal frequency avoidance function:

[0113] Analyze the multiple groups of modal frequency values ​​of each order and the intermediate value based on DOE, obtain the absolute difference between the modal frequency values ​​of each order and the intermediate value in the same group, and form a set;

[0114] The absolute differences in the set are compared, and the minimum absolute difference is used as the modal frequency avoidance function.

[0115] In one embodiment, the processor implements multiple parameters of the multiple components selected based on DOE analysis, and before obtaining multiple groups of modal frequency values ​​of each order, is used to implement:

[0116] A preset number of parameters of the components are selected in a preset sampling interval based on a preset sampling method.

[0117] In one embodiment, when the processor implements determining the optimal modal frequency avoidance function from the multiple modal frequency avoidance functions, it is configured to implement:

[0118] Comparing the obtained multiple modal frequency avoidance functions with preset modal frequency avoidance values;

[0119] Acquire a target modal frequency avoidance function that satisfies the preset modal frequency avoidance value;

[0120] An optimal modal frequency avoidance function is determined according to the target modal frequency avoidance function.

[0121] In one embodiment, when the processor implements determining the optimal modal frequency avoidance function according to the target modal frequency avoidance function, the processor is used to implement:

[0122] Determining whether the target modal frequency avoidance function obtained satisfies an optimal condition;

[0123] If it is determined that the target modal frequency avoidance function satisfies the optimal condition, then determining the target frequency avoidance function that satisfies the optimal condition as the optimal modal frequency avoidance function;

[0124] If it is determined that none of the target modal frequency avoidance functions satisfies the optimal condition, the parameters of the components are reselected.

[0125] In one embodiment, the processor implements, after obtaining the plurality of modal frequency avoidance functions and comparing them with the preset modal frequency avoidance values, to implement:

[0126] If the plurality of modal frequency avoidance functions are all less than or equal to the preset modal frequency avoidance value, the parameters of the suspension system are reselected.

[0127] An embodiment of the present application also provides a computer-readable storage medium, on which a computer program is stored. The computer program includes program instructions. The method implemented when the program instructions are executed can refer to the various embodiments of the modal frequency avoidance method of the suspension system of the present application.

[0128] The computer-readable storage medium may be an internal storage unit of the computer device described in the foregoing embodiment, such as a hard disk or memory of the computer device. The computer-readable storage medium may also be an external storage device of the computer device, such as a plug-in hard disk, a smart memory card (SmartMedia Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc., equipped on the computer device.

[0129] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0130] The serial numbers of the embodiments of the present application are for description only and do not represent the advantages and disadvantages of the embodiments. The above description is only a specific implementation mode of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present application, and these modifications or replacements should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A modal frequency avoidance method for a suspension system, characterized in that: include: Setting parameters of components in the suspension system, wherein there are multiple components and multiple parameters of the components; Acquire multiple modal frequency avoidance functions according to multiple parameters of multiple components; The step of obtaining a plurality of modal frequency avoidance functions according to a plurality of parameters of a plurality of components comprises: Based on multiple parameters of the multiple components selected by DOE analysis, multiple groups of modal frequency values ​​of various orders are obtained; Analyze the preset frequency avoidance modal frequency interval values ​​based on DOE, and obtain the middle value of the preset frequency avoidance modal frequency interval values; Analyzing the multiple groups of modal frequency values ​​of each order and the intermediate values ​​based on DOE to obtain a modal frequency avoidance function, wherein there are multiple modal frequency avoidance functions; The step of analyzing the multiple groups of modal frequency values ​​of each order and the intermediate values ​​based on DOE to obtain a modal frequency avoidance function includes: Analyze the multiple groups of modal frequency values ​​of each order and the intermediate value based on DOE, obtain the absolute difference between the modal frequency values ​​of each order and the intermediate value in the same group, and form a set; Comparing the absolute differences in the set, and taking the minimum absolute difference as the modal frequency avoidance function; Acquire an optimal modal frequency avoidance function from the plurality of modal frequency avoidance functions to determine parameters of components in the suspension system corresponding to the optimal modal frequency avoidance function for frequency avoidance; The determining of the optimal modal frequency avoidance function from the plurality of modal frequency avoidance functions comprises: Comparing the obtained multiple modal frequency avoidance functions with preset modal frequency avoidance values; Acquire a target modal frequency avoidance function that satisfies the preset modal frequency avoidance value; An optimal modal frequency avoidance function is determined according to the target modal frequency avoidance function and the optimal condition.

2. The modal frequency avoidance method of the suspension system according to claim 1, characterized in that: Before obtaining multiple groups of modal frequency values ​​of each order based on multiple parameters of multiple components selected by DOE analysis, the method includes: A preset number of parameters of the components are selected in a preset sampling interval based on a preset sampling method.

3. The modal frequency avoidance method of the suspension system according to claim 1, characterized in that: Determining the optimal modal frequency avoidance function according to the target modal frequency avoidance function and the optimal condition includes: Determining whether the target modal frequency avoidance function obtained satisfies an optimal condition; If it is determined that the target modal frequency avoidance function satisfies the optimal condition, then determining the target frequency avoidance function that satisfies the optimal condition as the optimal modal frequency avoidance function; If it is determined that none of the target modal frequency avoidance functions meet the optimal conditions, the parameters of the components are reselected, wherein the optimal conditions include minimum weight and / or maximum load-bearing capacity.

4. The modal frequency avoidance method of the suspension system according to claim 1, characterized in that: After the obtained multiple modal frequency avoidance functions are compared with the preset modal frequency avoidance values, the method further includes: If the plurality of modal frequency avoidance functions are all less than or equal to the preset modal frequency avoidance value, the parameters of the suspension system are reselected.

5. A modal frequency avoidance device for a suspension system, characterized in that: The device comprises: A setting module, used to set parameters of components in the suspension system, wherein there are multiple components and multiple parameters of the components; An acquisition module, used for acquiring a plurality of modal frequency avoidance functions according to a plurality of parameters of a plurality of the components; The step of obtaining a plurality of modal frequency avoidance functions according to a plurality of parameters of a plurality of components comprises: Based on multiple parameters of the multiple components selected by DOE analysis, multiple groups of modal frequency values ​​of various orders are obtained; Analyze the preset frequency avoidance modal frequency interval values ​​based on DOE, and obtain the middle value of the preset frequency avoidance modal frequency interval values; Analyzing the multiple groups of modal frequency values ​​of each order and the intermediate values ​​based on DOE to obtain a modal frequency avoidance function, wherein there are multiple modal frequency avoidance functions; The step of analyzing the multiple groups of modal frequency values ​​of each order and the intermediate values ​​based on DOE to obtain a modal frequency avoidance function includes: Analyze the multiple groups of modal frequency values ​​of each order and the intermediate value based on DOE, obtain the absolute difference between the modal frequency values ​​of each order and the intermediate value in the same group, and form a set; Comparing the absolute differences in the set, and taking the minimum absolute difference as the modal frequency avoidance function; A determination module, used to obtain an optimal modal frequency avoidance function from the multiple modal frequency avoidance functions, so as to determine the parameters of the components in the suspension system corresponding to the optimal modal frequency avoidance function for frequency avoidance; The determining of the optimal modal frequency avoidance function from the plurality of modal frequency avoidance functions comprises: Comparing the obtained multiple modal frequency avoidance functions with preset modal frequency avoidance values; Acquire a target modal frequency avoidance function that satisfies the preset modal frequency avoidance value; An optimal modal frequency avoidance function is determined according to the target modal frequency avoidance function and the optimal condition.

6. A computer device, characterized in that: The computer device includes a processor, a memory, and a computer program stored in the memory and executable by the processor, wherein when the computer program is executed by the processor, the steps of the modal frequency avoidance method of the suspension system according to any one of claims 1 to 4 are implemented.

7. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, wherein when the computer program is executed by a processor, the steps of the modal frequency avoidance method for a suspension system according to any one of claims 1 to 4 are implemented.

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