Calculation Method for Vehicle Abnormal Noise Control Level and Risk Index

Abstract

Method for calculating vehicle abnormal noise control level and risk index. According to the three-dimensional data of the vehicle body, a vehicle body simulation model is established; key parameters of vehicle body abnormal noise are input into the vehicle body simulation model for simulation calculation; the risk index of abnormal noise is calculated by using the key parameters of vehicle body abnormal noise obtained from the simulation calculation, realizing the automatic calculation of the risk index of abnormal noise. Firstly, reference values of each key parameter are defined, secondly, weighting coefficients of the contribution of each index parameter are defined, then a mathematical model of the risk index of abnormal noise is established, and finally a program software for the risk index of abnormal noise is compiled; combining the calculated risk index of abnormal noise, through horizontal comparison between different vehicle models, comprehensively judge the abnormal noise risk level of the newly developed vehicle model, and further analyze and optimize the vehicle body structure that causes vehicle abnormal noise under the current structure by combining the risk index of abnormal noise caused by static deformation of the vehicle body and the risk index of abnormal noise caused by dynamic response of the vehicle body, so as to achieve a vehicle body structure design with good abnormal noise control state.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle abnormal noises, and particularly to a method for calculating the control level and risk index of vehicle abnormal noises. Background Art

[0002] With the gradual improvement of automobile quality, in the process of automobile product development, the requirements for the control level of abnormal noises are also getting higher and higher. A body structure design with low abnormal noise sensitivity is the basis for ensuring the control level of vehicle abnormal noises.

[0003] Currently, in the field of automobile abnormal noise control, there are no mature methods and quantitative indicators for predicting and evaluating abnormal noise risks in the early stage of automobile product development. The relatively objective early risk prediction method in the industry is the SnRD abnormal noise analysis method of Altair Company. This method uses the finite element method to simulate and analyze the finite element model of the full interior body, calculates the relative displacement at the abnormal noise risk points, and judges whether there is an abnormal noise risk according to the conditions for generating squeak and rattle abnormal noises. This method realizes a method for predicting abnormal noise risks in the early stage of product development. However, this method requires the establishment of a full interior body model, has relatively high requirements for the modeling accuracy and the simulation of the matching relationship of interior parts, and finally obtains the abnormal noise risks at some points, and does not describe the comprehensive abnormal noise level of the vehicle. In addition, a relatively mature abnormal noise evaluation model for describing the abnormal noise level of the whole vehicle in the industry is the abnormal noise SRI index of FAW. This index defines the abnormal noise control level of the whole vehicle through the method of experimental evaluation. However, this method requires the evaluation and testing of the actual vehicle after the product is manufactured, and cannot conduct risk assessment and prediction in the early stage of product development.

[0004] Therefore, the defect of the existing abnormal noise evaluation methods is that they cannot conduct risk assessment and prediction in the early stage of vehicle development.

[0005] In the prior art, the patent document CN110263414A discloses "a method for predicting dangerous points of friction abnormal noises in an automobile interior system", which obtains the maximum displacement amplitude and the minimum abnormal noise displacement data of node pairs to more accurately predict the dangerous points of abnormal noises. The patent document CN113626936A discloses "a method and device for predicting the risk of automobile friction abnormal noises", which provides a method for predicting the risk of automobile friction abnormal noises to solve the technical problems in the prior art that it is impossible to judge whether to redesign, optimize and test this position according to the perception of friction abnormal noises by vehicle occupants, resulting in waste of development costs and an increase in the development cycle.

[0006] In summary, the existing abnormal noise evaluation methods cannot conduct risk assessment and prediction in the early stage of vehicle development. Summary of the Invention

[0007] The present invention solves the problem that the existing abnormal noise evaluation method cannot conduct risk assessment and prediction in the early stage of vehicle development.

[0008] The method for calculating the abnormal noise control level and risk index of a vehicle according to the present invention includes the following steps:

[0009] Step S1: Establish a body simulation model based on the three-dimensional body data.

[0010] Step S2: Input the key parameters of body abnormal noise into the body simulation model for simulation calculation. The key parameter includes the static mechanical index of body deformation and the dynamic mechanical index of the excitation response sensitivity of key body points.

[0011] Step S3: Calculate the abnormal noise risk index by using the key parameters of body abnormal noise obtained from the simulation calculation to realize the automatic calculation of the abnormal noise risk index. First, define the reference values of each key parameter. Second, define the weighting coefficients of the contribution of each parameter. Then, establish a mathematical model of the abnormal noise risk index. Finally, compile the program software of the abnormal noise risk index.

[0012] Step S4: Combine the calculated abnormal noise risk index, and through horizontal comparison among different vehicle models, comprehensively judge the abnormal noise risk level of the newly developed vehicle model. Further, combine the abnormal noise risk index caused by the static deformation of the body and the abnormal noise risk index caused by the dynamic response of the body to analyze and optimize the body structure that causes the abnormal noise of the vehicle under the current structure, so as to achieve a good body structure design for abnormal noise control. [[ID=1 seventeenn]]

[0013] Further, in an embodiment of the present invention, in the step S2, the calculation method of the static mechanical index of the body deformation includes the following steps:

[0014] Step S201: Constrain the connection points of the two rear shock absorbers of the body.

[0015] Step S202: Apply loads with equal magnitudes and opposite directions in the Z direction at the connection points of the two front shock absorbers.

[0016] Step S203: Calculate six static deformation parameters X1 to X6.

[0017] Further, in an embodiment of the present invention, in the step S202, the torsional moment generated by the loads with equal magnitudes and opposite directions is 2000 NM.

[0018] Further, in an embodiment of the present invention, in the step S203, the calculation formula of the six static deformation parameters X1 to X6 is:

[0019] It should be noted that there seems to be a mistake in the "ID=17" in the original text you provided. It is likely a miswriting. I translated it as "ID=1 seventeenn" according to the original text. If this is not what you intended, please correct it and let me know.Xi = 1000(ΔLi / Li), where i = 1 to 6, Li is the actual length between the measuring points of each hole, and ΔLi is the deformation of Li under the torsional load.

[0020] Further, in an embodiment of the present invention, in the step S2, the calculation method of the dynamic index of the excitation response sensitivity of the body key points includes the following steps:

[0021] Step S204, calculate the sensitivity of the eight key points from T1 to T8 in sequence, where the excitation of each key point selects four shock absorber body mounting points in sequence, and the load uses a displacement excitation with a frequency of 1 to 50 Hz and an amplitude of 1 mm;

[0022] Step S205, for the sensitivity T of each key point, select the maximum value of the peak value of the frequency response curve obtained from the four excitation points.

[0023] Further, in an embodiment of the present invention, in the step S204, the calculation method of the sensitivity of the eight key points from T1 to T8 adopts the response spectrum analysis method.

[0024] Further, in an embodiment of the present invention, in the step S3, the realization of the automatic calculation of the abnormal noise risk index includes the following steps:

[0025] Step S301, define reference values for each parameter in the body key index parameters;

[0026] Step S302, define a weighting coefficient for the contribution of the body key index parameters to the overall abnormal noise level of the vehicle;

[0027] Step S303, establish a mathematical calculation model of the abnormal noise risk evaluation index according to the defined reference values and weighting coefficients;

[0028] Step S304, use matlab to compile the program software of the abnormal noise risk index, and calculate the specific value of the abnormal noise risk index by directly inputting the actual body parameters of Xi and T i in matlab.

[0029] Further, in an embodiment of the present invention, in the step S301, the definition of the parameter value is determined according to the vehicle abnormal noise control level obtained from the actual vehicle evaluation and the average level of the corresponding body key index parameters.

[0030] Further, in an embodiment of the present invention, in the step S302, the definition of the weighting coefficient is set according to the proportion of the abnormal noise types of the assembly components affected by each index parameter.

[0031] Further, in an embodiment of the present invention, in the step S303, the mathematical calculation model for establishing the abnormal noise risk evaluation index is as follows:

[0032]

[0033] In the formula, Ai is the weighted coefficient of the body deformation index, Bi is the weighted coefficient of the body key point sensitivity index, Rxi is the reference value of the body deformation amount, Rti is the reference value of the key point sensitivity, Xi and T i are respectively the data greater than the reference value in the actual values of the body deformation amount and the key point sensitivity calculated by CAE. m and n are respectively the number of items of the deformation amount and the sensitivity index exceeding the reference value. RoBSR is the abnormal noise risk evaluation index, RoBSR_S is the abnormal noise risk index caused by the static deformation of the body, and RoBSR D is the abnormal noise risk index caused by the dynamic response of the body.

[0034] The present invention solves the problem that the existing abnormal noise evaluation method cannot conduct risk assessment and prediction in the early stage of vehicle development. The specific beneficial effects include:

[0035] The vehicle abnormal noise control level and risk index calculation method described in the present invention, in the early stage of automotive product development, based on the body CAE analysis technology, comprehensively analyzes and calculates the key static and dynamic objective indicators of the body that affect abnormal noise, so as to achieve a comprehensive and objective evaluation of the vehicle abnormal noise control level in the early stage of automotive development, optimize the abnormal noise risk caused by unreasonable body joint design, improve the vehicle abnormal noise control state, and lay a foundation for the improvement of the abnormal noise level in the entire automotive product development process. Description of the Drawings

[0036] The above-mentioned and / or additional aspects and advantages of the present invention will become obvious and easy to understand from the following description of the embodiments in conjunction with the drawings, in which:

[0037] Figure 1 is the flowchart of the vehicle abnormal noise control level and risk index calculation method described in the specific implementation manner.

[0038] Figure 2 is the key index parameter diagram of the body abnormal noise described in the specific implementation manner.

[0039] Figure 3 is the reference value diagram of the key index parameters described in the specific implementation manner.

[0040] Figure 4 is the weighted coefficient diagram of the key index parameters described in the specific implementation manner.

[0041] Figure 5 is the Matlab program diagram of the automatic calculation of the abnormal noise risk index described in the specific implementation manner. Specific Embodiment

[0042] The following will clearly and completely describe various embodiments of the present invention with reference to the accompanying drawings. The embodiments described by referring to the accompanying drawings are exemplary and are intended to explain the present invention, and should not be construed as a limitation to the present invention.

[0043] The method for calculating the vehicle abnormal noise control level and risk index according to this embodiment includes the following steps:

[0044] Step S1: Establish a body simulation model based on the three-dimensional body data.

[0045] Step S2: Input the key parameters of body abnormal noise into the body simulation model for simulation calculation. The key parameter includes the static mechanical index of body deformation and the dynamic mechanical index of the excitation response sensitivity of key body points.

[0046] Step S3: Calculate the abnormal noise risk index using the key parameters of body abnormal noise obtained from the simulation calculation to achieve the automatic calculation of the abnormal noise risk index. First, define the reference values of each key parameter. Secondly, define the weighting coefficients of the contribution of each parameter. Then, establish a mathematical model of the abnormal noise risk index. Finally, compile the program software of the abnormal noise risk index.

[0047] Step S4: Combine the calculated abnormal noise risk index, and through horizontal comparison between different vehicle models, comprehensively judge the abnormal noise risk level of the newly developed vehicle model. Further, analyze and optimize the body structure that causes vehicle abnormal noise under the current structure by combining the abnormal noise risk index caused by body static deformation and the abnormal noise risk index caused by body dynamic response, so as to achieve a body structure design with good abnormal noise control state.

[0048] In this embodiment, in step S2, the calculation method of the static mechanical index of body deformation includes the following steps:

[0049] Step S201: Constrain the connection points of the two rear shock absorbers of the body.

[0050] Step S202: Apply loads with equal magnitudes and opposite directions in the Z direction at the connection points of the two front shock absorbers.

[0051] Step S203: Calculate six static deformation parameters X1 to X6.

[0052] In this embodiment, in step S202, the torsional moment generated by the loads with equal magnitudes and opposite directions is 2000 NM.

[0053] In this embodiment, in step S203, the calculation formulas for the six static deformation parameters X1 to X6 are:

[0054] Xi = 1000(ΔLi / Li), where i = 1 to 6, Li is the actual length between the measuring points of each hole, and ΔLi is the deformation of Li under the torsional load.

[0055] In this embodiment, in step S2, the calculation method of the dynamic index of the excitation response sensitivity of the vehicle body key points includes the following steps:

[0056] Step S204: Calculate the sensitivity of the eight key points from T1 to T8 in sequence. For each key point, four body mounting points of the shock absorbers are selected as excitations in turn, and the load uses a displacement excitation with a frequency of 1 to 50 Hz and an amplitude of 1 mm.

[0057] Step S205: For the sensitivity T of each key point, select the maximum value of the peak values of the frequency response curves obtained from the four excitation points.

[0058] In this embodiment, in step S204, the calculation method of the sensitivity of the eight key points from T1 to T8 uses the response spectrum analysis method.

[0059] In this embodiment, in step S3, the realization of the automatic calculation of the abnormal noise risk index includes the following steps:

[0060] Step S301: Define reference values for each parameter in the vehicle body key index parameters.

[0061] Step S302: Define the weighting coefficients for the contributions of the vehicle body key index parameters to the overall abnormal noise level of the vehicle.

[0062] Step S303: Establish a mathematical calculation model for the abnormal noise risk evaluation index according to the defined reference values and weighting coefficients.

[0063] Step S304: Use matlab to compile the program software for the abnormal noise risk index. By directly inputting Xi and T i The actual vehicle body parameters, calculate the specific value of the abnormal noise risk index.

[0064] In this embodiment, in step S301, the definition of the parameter values is determined according to the vehicle abnormal noise control level obtained from the actual vehicle evaluation and the average level of the corresponding vehicle body key index parameters.

[0065] In this embodiment, in step S302, the definition of the weighting coefficients is set according to the proportion of the abnormal noise types of the total components affected by each index parameter.

[0066] In this embodiment, in step S303, the established mathematical calculation model for the abnormal noise risk evaluation index is:

[0067]

[0068]

[0069] Wherein, Ai is the weighted coefficient of the vehicle body deformation index, Bi is the weighted coefficient of the sensitivity index of the key points of the vehicle body, Rxi is the reference value of the vehicle body deformation amount, Rti is the reference value of the key point sensitivity, Xi, T i are respectively the data in the actual values of the vehicle body deformation amount and the key point sensitivity calculated by CAE that are greater than the reference value, m and n are respectively the number of items of the deformation amount and the sensitivity index exceeding the reference value, RoBSR is the abnormal noise risk evaluation index, RoBSR_S is the abnormal noise risk index caused by the static deformation of the vehicle body, RoBSR D The abnormal noise risk index caused by the dynamic response of the vehicle body.

[0070] This embodiment is based on the vehicle abnormal noise control level and risk index calculation method described in the present invention. Referring to Figure 1 A practical embodiment can be better understood in combination with a specific object:

[0071] Step S1: According to the three-dimensional data of the white vehicle body, use software such as hypermesh to establish a white vehicle body simulation model;

[0072] Step S2: Simulate and calculate the key parameters of the vehicle body. The calculation content includes static deformation indexes and dynamic sensitivity indexes. The specific calculation index parameters are as Figure 2 shown;

[0073] The calculation method for the static indexes of the vehicle body deformation is as follows:

[0074] 1) In the model established in step S1, constrain the connection points of the two rear shock absorbers of the vehicle body;

[0075] 2) In the model established in step S1, apply loads with equal magnitudes and opposite directions in the Z direction (perpendicular to the ground) at the connection points of the two front shock absorbers. The torsional moment generated by the two reverse loads is 2000 NM;

[0076] 3) Under the above boundary conditions and load conditions, calculate Figure 2 the six static deformation parameters X1 to X6 in, Xi = 1000(ΔLi / Li) i = 1 to 6, where Li is Figure 2 the actual length between the measuring points of each opening defined in, and ΔLi is the deformation amount of Li under the torsional load;

[0077] The calculation method for the dynamic sensitivity index of the excitation response of the key points of the vehicle body is as follows:

[0078] 1) In the model established in step S1, calculate the sensitivities of the eight key points T1 to T8 defined in Figure 2 in sequence. For each key point, four shock absorber body mounting points are selected as excitations in turn. The load adopts a displacement excitation with a frequency of 1 to 50 Hz and an amplitude of 1 mm. The calculation method uses the response spectrum analysis method.

[0079] 2) For the sensitivity T of each key point, select the maximum value of the peak of the frequency response curve obtained from the four excitation points.

[0080] Step S3: Use the key parameters of vehicle body abnormal noise calculated in step S2 to calculate the abnormal noise risk index RoBSR. It is necessary to define the reference values of each key parameter, define the weighting coefficients of the contribution of each index parameter, establish a mathematical model of the abnormal noise risk evaluation index RoBSR (Risk of BSR), and compile the RoBSR program software, and finally realize the automatic calculation of RoBSR, as follows in detail:

[0081] Step S31: Define the reference values for each parameter in the Figure 2 key parameters of the vehicle body. The definition of the parameter values is established according to the vehicle abnormal noise control level obtained from the actual vehicle evaluation and the average level of the corresponding key vehicle body parameters. The specific reference values of each key parameter are defined as Figure 3 shown:

[0082] Step S32: Define the weighting coefficients for the contribution of each vehicle body index parameter to the overall abnormal noise level of the vehicle. The definition of the weighting coefficients of each index parameter is set according to the proportion of the abnormal noise types of the assembly parts affected by each index parameter. The proportion of the abnormal noise types of different assembly parts of the vehicle is obtained according to the statistical information of the abnormal noise problems of different assembly parts of different vehicle models in the market. The weighting coefficients of each index parameter are as Figure 2 shown in Figure 4 ;

[0083] Step S33: Establish a mathematical calculation model of the abnormal noise risk evaluation index RoBSR (Risk of BSR) as follows. Here, Ai is the weighting coefficient of the vehicle body deformation index, Bi is the weighting coefficient of the sensitivity of the key points of the vehicle body, Rxi is the reference value of the vehicle body deformation, Rti is the reference value of the key point sensitivity, Xi and T i are the actual values of the vehicle body deformation and the key point sensitivity calculated by CAE that are greater than the reference values respectively. m and n are the number of items of the deformation amount and the sensitivity index that exceed the reference value. RoBSR_S is the abnormal noise risk index caused by the static deformation of the vehicle body, and RoBSR D is the abnormal noise risk index caused by the dynamic response of the vehicle body;

[0084]

[0085] Step S34: Compile a program software for the abnormal noise risk index using Matlab. By directly inputting Xi and T i the actual vehicle body parameters into the software, directly calculate the specific value of the abnormal noise risk index, as Figure 5 shown;

[0086] Step S4: Combine the abnormal noise risk index calculated in Step S3. Through horizontal comparison among different vehicle models, comprehensively judge the abnormal noise risk level of the newly developed vehicle model; further combine the abnormal noise risk index RoBSR_S caused by the static deformation of the vehicle body and the abnormal noise risk index RoBSR caused by the dynamic response of the vehicle body D to deeply analyze and optimize the vehicle body structure factors that cause the abnormal noise level of the vehicle under the current structure, so as to achieve a vehicle body structure design with a better abnormal noise control state.

[0087] The above has introduced in detail the vehicle abnormal noise control level and the risk index calculation method proposed by the present invention. Specific examples are used in this article to elaborate on the principle and implementation manner of the present invention. The description of the above embodiments is only used to help understand the method and its core idea of the present invention; at the same time, for those of ordinary skill in the art, according to the idea of the present invention, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation to the present invention.

Claims

1. A method for calculating the vehicle abnormal noise control level and risk index, characterized in that It includes the following steps: Step S1: Establish a vehicle body simulation model based on the three-dimensional vehicle body data; Step S2: Input the key index parameters of vehicle body abnormal noise into the vehicle body simulation model for simulation calculation. The key index parameters include the static mechanical indexes of vehicle body deformation and the dynamic indexes of excitation response sensitivity of key vehicle body points; Step S3: Calculate the abnormal noise risk index by using the key index parameters of vehicle body abnormal noise obtained from the simulation calculation to realize the automatic calculation of the abnormal noise risk index. First, define the reference values of each key index parameter. Secondly, define the weighting coefficients of the contribution amounts of each index parameter. Then, establish the mathematical model of the abnormal noise risk index. Finally, compile the program software of the abnormal noise risk index; Step S4: Combine the calculated abnormal noise risk index, make a comprehensive judgment on the abnormal noise risk level of the newly developed vehicle model through horizontal comparison among different vehicle models, and further analyze and optimize the vehicle body structure that causes vehicle abnormal noise under the current structure by combining the abnormal noise risk index caused by vehicle body static deformation and the abnormal noise risk index caused by vehicle body dynamic response, so as to achieve a vehicle body structure design with good abnormal noise control state; In the said Step S3, the mathematical model for establishing the abnormal noise risk index is: Wherein, Ai is the weighted coefficient of the vehicle body deformation index, Bi is the weighted coefficient of the vehicle body key point sensitivity index, Rxi is the reference value of the vehicle body deformation amount, Rti is the reference value of the key point sensitivity, Xi and T i are respectively the data greater than the reference value in the vehicle body deformation amount and the actual value of the key point sensitivity obtained by CAE calculation, m and n are respectively the number of items of the deformation amount and the sensitivity index exceeding the reference value, RoBSR is the abnormal noise risk evaluation index, RoBSR_S is the abnormal noise risk index caused by the static deformation of the vehicle body, RoBSR D is the abnormal noise risk index caused by the dynamic response of the vehicle body.

2. The method for calculating the vehicle abnormal noise control level and risk index according to claim 1, wherein In the said Step S2, the calculation method of the static mechanical indexes of vehicle body deformation includes the following steps: Step S201: Constrain the connection points of the rear shock absorbers of the two vehicle bodies; Step S202: Apply loads with equal magnitudes and opposite directions in the Z direction at the connection points of the two front shock absorbers; Step S203: Calculate six static deformation parameters X1 to X6; In the said Step S203, the calculation formulas of the six static deformation parameters X1 to X6 are: Xi = 1000(ΔLi / Li), where i = 1 to 6, Li is the actual length between the measuring points of each hole, and ΔLi is the deformation amount of Li under the torsional load.

3. The method for calculating the vehicle abnormal noise control level and risk index according to claim 2, wherein In the said Step S202, the torsional moment generated by the loads with equal magnitudes and opposite directions is 2000 NM.

4. The vehicle abnormal noise control level and risk index calculation method according to claim 1, characterized in that In the said Step S2, the calculation method of the dynamic indexes of excitation response sensitivity of key vehicle body points includes the following steps: Step S204: Calculate the sensitivity of eight key points T1 to T8 in sequence. For each key point, four shock absorber vehicle body mounting points are selected as excitations in sequence, and the load adopts a displacement excitation with a frequency of 1 to 50 Hz and an amplitude of 1 mm; Step S205: For the sensitivity T of each key point, select the maximum value of the peak values of the frequency response curves obtained from the four excitation points; In the said Step S204, the sensitivity calculation method of the eight key points T1 to T8 adopts the response spectrum analysis method.

5. The method for calculating the vehicle abnormal noise control level and risk index according to claim 1, wherein In the said Step S3, the realization of the automatic calculation of the abnormal noise risk index includes the following steps: Step S301: Define the reference values of each parameter in the key index parameters of the vehicle body; Step S302: Define the weighting coefficients for the contribution of the key index parameters of the vehicle body to the overall abnormal noise level of the vehicle; Step S303: Establish the mathematical calculation model of the abnormal noise risk evaluation index according to the defined reference values and weighting coefficients; Step S304, use Matlab to compile a program software for the abnormal noise risk index, and calculate the specific value of the abnormal noise risk index by directly inputting Xi and T i actual vehicle body parameters in Matlab 6. The method for calculating the abnormal noise control level and risk index of a vehicle according to claim 5, characterized in that In the step S301, the reference value is defined according to the vehicle abnormal noise control level obtained from real vehicle evaluation and the average level of the corresponding key body index parameters.

7. The method for calculating the vehicle abnormal noise control level and risk index according to claim 5, characterized in that, In the step S302, the weighted coefficient is defined according to the proportion of abnormal noise types of the assembly components affected by each index parameter.

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