阅读说明：本技术 基于时域分析的车辆撞击异响风险位置预测系统及方法 (Time domain analysis-based vehicle impact abnormal sound risk position prediction system and method ) 是由 邱斌 李沛然 蒋大勇 李添翼 于 2021-07-30 设计创作，主要内容包括：本发明涉及汽车异响仿真分析技术领域,为了解决目前在预测汽车异响位置时采用的频域法只能判定异响是否发生而无法判定异响发生次数从而导致判定结果准确度低的问题,提供了一种基于时域分析的车辆撞击异响风险位置预测方法,包括以下步骤：S1：在汽车系统有限元分析模型中相邻结构配合的区域内的两个部件上分别标注节点并组成节点对；S2：在路谱激励下汽车系统有限元分析模型分析预设时域上的节点对内的两个节点之间的相对速度,并判断相对速度是否大于预设的目标值；S3：统计预设时域上两个节点之间的相对速度大于目标值的次数得到统计值,在统计值大于预设的次数阈值时,判定该节点对所在的位置为异响风险位置。(The invention relates to the technical field of automobile abnormal sound simulation analysis, and provides a vehicle impact abnormal sound risk position prediction method based on time domain analysis, aiming at solving the problem that the accuracy of a determination result is low because the frequency domain method adopted in the conventional method for predicting the position of the automobile abnormal sound can only determine whether the abnormal sound occurs but cannot determine the occurrence frequency of the abnormal sound, wherein the method comprises the following steps: s1: respectively marking nodes on two parts in an area where adjacent structures are matched in the finite element analysis model of the automobile system and forming node pairs; s2: analyzing the relative speed between two nodes in a node pair on a preset time domain by using a finite element analysis model of the automobile system under road spectrum excitation, and judging whether the relative speed is greater than a preset target value or not; s3: counting the times that the relative speed between two nodes in a preset time domain is greater than a target value to obtain a statistical value, and judging that the position of the node pair is an abnormal sound risk position when the statistical value is greater than a preset time threshold value.)

1. The method for predicting the risk position of the vehicle impact abnormal sound based on time domain analysis comprises the following steps:

s1: respectively marking nodes on two parts in an area where adjacent structures to be detected are matched in a finite element analysis model of the automobile system, wherein the marked corresponding two nodes form a node pair;

the method is characterized in that: s2: analyzing the relative speed between two nodes in a node pair in a preset time domain by using a finite element analysis model of an automobile system under road spectrum excitation, analyzing whether the relative speed between the two nodes is greater than a preset target value speed, counting the times that the relative speed between the two nodes in the preset time domain is greater than the preset target value speed to obtain a statistical value when the relative speed is greater than the preset target value speed, and judging that the position of the node pair is an abnormal sound risk position when the statistical value is greater than a preset time threshold value.

2. The time domain analysis-based vehicle impact abnormal sound risk position prediction method according to claim 1, characterized in that: in S2, before analyzing the relative velocity between two nodes, analyzing the relative displacement between the two nodes, and determining whether the relative displacement is greater than a design gap, and when determining that the relative displacement is greater than the design gap, analyzing whether the relative velocity between the two nodes is greater than a target threshold.

3. The time domain analysis-based vehicle impact abnormal sound risk position prediction method according to claim 1, characterized in that: the preset time domain is set to be greater than 10 s.

4. The time domain analysis-based vehicle impact abnormal sound risk position prediction method according to claim 1, characterized in that: the number threshold is set to be greater than 2.

5. Vehicle striking abnormal sound risk position prediction system based on time domain analysis, its characterized in that: the system comprises a storage module, a speed control module and a data processing module, wherein a target value speed, a preset time domain and a statistical threshold value are preset in the storage module, and an automobile system finite element analysis model is also loaded in the storage module;

the calibration module is used for respectively marking nodes on two parts in an area where adjacent structures to be detected are matched in the finite element analysis model of the automobile system, and the marked corresponding two nodes form a node pair;

the acquisition module is used for acquiring the relative speed between two nodes in a node pair on a preset time domain by analyzing a finite element analysis model of the automobile system under the road spectrum excitation;

the judging module is used for judging whether the acquired relative speed is greater than a set target value speed;

the statistical module is used for counting the times that the relative speed between the two nodes in a preset time domain is greater than a target speed to obtain a statistical value, and the judging module is also used for judging whether the statistical value is greater than the statistical threshold value;

when the statistic value is larger than the statistic threshold value, the calibration module marks the position of the node pair as an abnormal risk position.

Technical Field

The invention relates to the technical field of automobile abnormal sound simulation analysis, in particular to a system and a method for predicting a vehicle collision abnormal sound risk position based on time domain analysis.

Background

Measuring the comfort, the driving quality and the manufacturing quality of the automobile are several important parameters for the user to select the automobile. Abnormal sound not only affects the comfort of the automobile, but also is an important characteristic of the quality of the automobile. The abnormal sound of the automobile comprises abnormal sound of a transmitter, abnormal sound of a tire, abnormal sound of an interior trim and the like, wherein the abnormal sound of the interior trim is mainly caused by loosening of screws or incompleteness of an assembly process. Taking the assembly process as an example, after the automobile door is assembled, a gap exists between the interior trim part and the sheet metal part of the automobile door. When the automobile runs on an uneven road surface, the automobile vibrates, and the interior trim parts and the sheet metal parts on the automobile body also vibrate. And because a gap exists between the interior trim part and the sheet metal part, the interior trim part and the sheet metal part can mutually impact in the vibration process, so that abnormal sound is generated, and the passenger is extremely uncomfortable.

In order to eliminate the abnormal noise of the interior, after the abnormal noise occurs, it is necessary to optimize the place where the abnormal noise occurs, that is, to know the place where the abnormal noise occurs. At present, when the position of the occurrence of the abnormal sound of the automobile is analyzed, a frequency domain method is adopted for prediction at present, nodes are selected in the matching areas of the edge of the interior trim part and the edge of the sheet metal part in a finite element analysis model of an automobile system respectively and form node pairs, under the excitation of a road spectrum, the relative displacement between the nodes in the node pairs and the relative speed between the nodes in the node pairs are analyzed and calculated in a frequency band preset by the finite element analysis model of the automobile system, and if the relative displacement and the relative speed obtained through analysis and calculation are both greater than preset values, the node is judged to be the abnormal sound risk position. However, when the frequency domain method is used for determining the abnormal sound risk position, only whether the node selected in the preset frequency band has abnormal sound can be determined, but the frequency of the abnormal sound can not be analyzed and calculated, so that one sound of the selected node caused by external factors can be determined as the abnormal sound, and the accuracy of determining the abnormal sound is reduced.

Disclosure of Invention

One of the purposes of the invention is to provide a vehicle collision abnormal sound risk position prediction method based on time domain analysis, so as to solve the problem that the accuracy of a determination result is low because the frequency domain method adopted in the conventional method for predicting the abnormal sound position of an automobile can only determine whether the abnormal sound occurs but cannot determine the occurrence frequency of the abnormal sound.

The invention provides a basic scheme that: the method for predicting the risk position of the vehicle impact abnormal sound based on time domain analysis comprises the following steps:

s1: respectively marking nodes on two parts in an area where adjacent structures to be detected are matched in a finite element analysis model of the automobile system, wherein the marked corresponding two nodes form a node pair;

s2: the method comprises the steps that under road spectrum excitation, a finite element analysis model of the automobile system analyzes the relative speed between two nodes in a node pair in a preset time domain, analyzes whether the relative speed between the two nodes is larger than a preset target value speed, counts the times that the relative speed between the two nodes in the preset time domain is larger than the preset target value speed to obtain a statistical value when the relative speed is larger than the preset target value speed, and judges that the position of the node pair is an abnormal sound risk position when the statistical value is larger than a preset time threshold value.

The working principle and the beneficial effects of the first basic scheme are as follows: the method comprises the following steps that 1, abnormal sound is predicted through a time domain method, when the relative speed between node pairs is analyzed to be larger than a preset target value speed in a preset time domain, the abnormal sound position is judged to be subjected to ringing, in order to eliminate the condition that the ringing happens accidentally due to external factors, a statistic threshold value is obtained through counting the ringing times in the scheme, only when the statistic threshold value is larger than a preset time threshold value, the fact that the ringing happens to the position is judged to be inevitable rather than accidental, and at the moment, the fact that the position where the node pairs are located is judged to be the abnormal sound risk position; compared with the existing method of predicting the abnormal sound position by adopting a frequency domain method, the method can eliminate the accidental sound occurrence situation by counting and comparing the sound occurrence times, thereby improving the accuracy of the prediction result;

2. considering that when the relative displacement between the two components is larger than the design clearance, if the relative speed between the two components is small at the moment, the abnormal sound is small, therefore, the relative speed between the two nodes is also judged when the abnormal sound is judged, and the accuracy of judging the abnormal sound position is further improved.

The first preferred scheme is as follows: as a first basic mode, in S2, before analyzing the relative velocity between two nodes, the relative displacement between two nodes is analyzed, and it is determined whether the relative displacement is greater than the design gap, and when it is determined that the relative displacement is greater than the design gap, it is analyzed whether the relative velocity between two nodes is greater than the target threshold. Has the advantages that: in the scheme, the relative displacement between the nodes is analyzed, and when the relative displacement between the node pairs is analyzed to be larger than the design gap, the position of the sound at the moment can be judged.

The preferred scheme II is as follows: preferably, as a first basic scheme, the preset time domain is set to be greater than 10 s. Has the advantages that: the situation of ringing caused by an accidental situation needs to be eliminated, but if the preset time domain is too small, the accuracy of the prediction result cannot be ensured, so that the preset time domain is set to be more than 10s, and the accuracy of the prediction result is ensured by setting the prediction time to be long enough.

The preferable scheme is three: preferably, as the first basic solution, the time threshold is set to be greater than 2. Has the advantages that: in the scheme, the frequency threshold is set to be larger than 2, so that the ringing caused by accidental factors in the prediction process can be eliminated, and the accuracy of the prediction result is improved.

The second purpose of the invention is to provide a vehicle impact abnormal sound risk position prediction system based on time domain analysis, and the second basic scheme provided by the invention is as follows: the vehicle impact abnormal sound risk position prediction system based on time domain analysis comprises a storage module, a data processing module and a data processing module, wherein a design gap, a preset time domain and a statistical threshold are preset in the storage module, and an automobile system finite element analysis model is also loaded in the storage module;

the calibration module is used for respectively marking nodes on two parts in an area where adjacent structures to be detected are matched in the finite element analysis model of the automobile system, and the marked corresponding two nodes form a node pair;

the acquisition module is used for acquiring the relative displacement between two nodes in a node pair in a preset time domain of the analysis of the finite element analysis model of the automobile system under the road spectrum excitation;

the judging module is used for judging whether the acquired relative displacement is larger than the design clearance;

the statistical module is used for counting the times that the relative displacement between two nodes in a preset time domain is larger than a design gap to obtain a statistical value, and the judging module is also used for judging whether the statistical value is larger than a statistical threshold value;

and when the statistical value is larger than the statistical threshold value, the calibration module marks the position of the node pair as an abnormal risk position.

The working principle and the beneficial effects of the second basic scheme are as follows: in the scheme, the relative displacement between two nodes of an adjacent structure is acquired through an acquisition module and the relative displacement between the two nodes is obtained, however, the judgment module judges the relative displacement, if the relative displacement is judged to be larger than a design gap, the possibility of abnormal sound risk is existed at the position, at the moment, the counting module counts the times of judging that the relative displacement is larger than the design gap, if the counted counting value is larger than a counting threshold value, the possibility of abnormal sound risk is shown to be large enough, the situation that the abnormal sound risk is certainly generated is existed, the abnormal sound risk is definitely generated at the position can be predicted, and at the moment, the calibration module marks the position of the node pair as the abnormal sound risk position; in the process, the abnormal sound risk occurring in the accidental situation is eliminated by utilizing the statistical module, and the accuracy of the prediction result is improved.

Drawings

Fig. 1 is a flowchart of a prediction method in an embodiment of a system and a method for predicting a vehicle impact abnormal sound risk position based on time domain analysis.

Detailed Description

The following is further detailed by way of specific embodiments:

the embodiment is basically as shown in the attached figure 1: the method for predicting the risk position of the vehicle impact abnormal sound based on time domain analysis comprises the following steps:

s1: respectively marking nodes on two parts in an area where adjacent structures to be detected are matched in a finite element analysis model of the automobile system, wherein the marked corresponding two nodes form a node pair; in this embodiment, an automobile door system is taken as an example for description, and the adjacent structures are selected from the structures of an interior trim part and a sheet metal part of the door system, that is, the two selected parts are the interior trim part and the sheet metal part respectively. Wherein interior trim part includes inside attacker, handrail, glass-frame riser switch etc. of door inboard, in this embodiment, selects interior attacker and sheet metal component as the adjacent structure that awaits measuring, in other embodiments, other parts such as handrail, glass-frame riser switch can be chooseed for use to interior trim part.

When selecting the node pairs on the adjacent structures to be detected, firstly, selecting a plurality of nodes in the matching area of the interior trim part and the sheet metal part respectively according to the shape of the interior trim part to form the node groups of the respective parts. The interval between two adjacent nodes in the node group can set up at random, also can set up in unison, and the interval is unanimous to set up between the adjacent node in the preferred node group in this embodiment, and the node is even interval setting between the node group on interior trim part and the sheet metal component promptly. And then respectively selecting a node between the two node groups to form a node pair, preferably selecting two nearest nodes to form a node pair when selecting the node, and specifically selecting a node which is nearest to the selected node in the node group of the interior trim part from the node group of the sheet metal part after selecting a node from the node group of the interior trim part, and forming the node pair by the two selected nodes. When the sheet metal part and the interior trim part are used, the interior trim part and the nodes on the sheet metal part are preferably in one-to-one correspondence, the connecting line between the node pairs is perpendicular to the interior trim part and the sheet metal part, and the distance between the node pairs is set to be the designed gap in the initial state.

S2: and analyzing the relative displacement between two nodes in a node pair on a preset time domain by using a finite element analysis model of the automobile system under the road spectrum excitation, and judging whether the relative displacement is larger than a design gap. The design clearance is the standard clearance in interior trim part and sheet metal component cooperation area in this embodiment. When the relative displacement between two nodes of a node pair is obtained through analysis, firstly, the coordinates of the two nodes are obtained, and then the length of a connecting line between the two nodes in the node pair is obtained through calculation according to the pythagorean theorem, namely the relative displacement between the two nodes.

S3: when the relative displacement is judged to be larger than the design clearance, whether the relative speed between the two nodes is larger than a preset target value speed or not is analyzed, when the relative displacement is larger than the design clearance and the relative speed is larger than the preset target value speed, the times that the relative displacement between the two nodes is larger than the design clearance in a preset time domain are counted to obtain a statistical value, and when the statistical value is larger than a preset time threshold value, the position where the node pair is located is judged to be an abnormal sound risk position.

The specific implementation mode is as follows: in the prediction, the abnormal sound risk position determination is performed by using the finite element analysis software HYPERMESH. Two node groups are determined in a matching area of an interior trim part and a sheet metal part in a finite element analysis model of a vehicle door system, specifically, 4 nodes of an edge grid of the interior trim part are selected and numbered 101, 102, 103 and 104, 4 nodes closest to the edge grid nodes of the interior trim part are selected and numbered 201, 202, 203 and 204 at corresponding positions on the sheet metal part, wherein 101 and 201 are selected as node pairs, 101 and 201 are marked, a PLOT unit is established, a local coordinate system is established by taking the length direction of the PLOT unit as the Z direction, and the rest 3 nodes are analogized.

After the road spectrum special for the abnormal sound is input, an OPTISTRUCT solver is called to calculate the relative displacement L1 of two nodes between a node pair in a preset time domain of the vehicle door system, a preset gap is set to be L, when the calculated L1 is larger than L, the relative speed V1 between the two nodes is analyzed and calculated, a target value speed is set to be V, the times C1 that the relative speed V1 is larger than the target value speed V in the preset time domain are counted, a statistical threshold value is set to be C, when the statistical value C1 counted in the preset time domain is larger than the statistical threshold value C, the node pair, namely the position where the 101-plus material 201 is located is the position where the abnormal sound risk occurs, and the risk of impacting the abnormal sound exists.

The embodiment also discloses a vehicle impact abnormal sound risk position prediction system based on time domain analysis, which comprises a storage module, a data processing module and a data processing module, wherein the storage module is preset with a design gap, a preset time domain and a statistical threshold value, and is also loaded with an automobile system finite element analysis model;

the calibration module is used for respectively marking nodes on two parts in an area where adjacent structures to be detected are matched in the finite element analysis model of the automobile system, and the marked corresponding two nodes form a node pair;

the acquisition module is used for acquiring the relative displacement between two nodes in a node pair in a preset time domain of the analysis of the finite element analysis model of the automobile system under the road spectrum excitation;

the judging module is used for judging whether the acquired relative displacement is larger than the design clearance;

the statistical module is used for counting the times that the relative displacement between two nodes in a preset time domain is larger than a design gap to obtain a statistical value, and the judging module is also used for judging whether the statistical value is larger than a statistical threshold value;

and when the statistical value is larger than the statistical threshold value, the calibration module marks the position of the node pair as an abnormal risk position.

The foregoing are merely exemplary embodiments of the present invention, and no attempt is made to show structural details of the invention in more detail than is necessary for the fundamental understanding of the art, the description taken with the drawings making apparent to those skilled in the art how the several forms of the invention may be embodied in practice with the teachings of the invention. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.