Laser radar heating cover plate analysis method based on CAE joint simulation technology

Abstract

The application relates to a laser radar heating cover plate analysis method based on CAE joint simulation technology, which comprises the following steps: creating a first laser radar heating cover plate model for fluid analysis based on three-dimensional data of the laser radar heating cover plate; defining various parameters of the first laser radar heating cover plate model and performing simulation calculation to conduct thermal analysis and wind pressure analysis on the laser radar heating cover plate; creating a second laser radar cover heating cover plate model for structure analysis based on three-dimensional data of the laser radar heating cover plate; mapping simulation results of the first laser radar heating cover plate model to the second laser radar cover heating cover plate model to obtain temperature data and surface pressure data of various nodes on the mapped second laser radar cover heating cover plate model; and performing simulation calculation on the second laser radar cover heating cover plate model according to the mapped temperature data and surface pressure data to obtain a deformation amount of the laser radar cover heating cover plate. The application can guide heating wire selection, layout and structure design.

Description

Technical Field

[0001] This invention relates to the field of computational-aided engineering (CAE) technology, and in particular to a method for analyzing lidar heating covers based on CAE co-simulation technology. Background Technology

[0002] With the development of new energy vehicles, autonomous driving technology is becoming increasingly important, and the application scope of LiDAR is also expanding. As an important component of LiDAR, the accuracy of the heating cover plate directly affects the penetration and imaging capabilities of the radar.

[0003] As a high-precision ADAS sensor, the microscopic shape and curvature changes of the lid's cover plate have a significant impact on laser transmission. In particular, during vehicle operation, temperature and wind load can affect the shape of the lid's cover plate. Furthermore, to adapt to cold environments, the lid's cover itself is equipped with a heating function, and the heating wire will also deform when heated. These deformations all have a certain impact on the generation of laser penetration, refraction, and reflection. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a method for analyzing lidar heating cover plates based on CAE co-simulation technology, which can guide the selection, layout and structural design of heating wires.

[0005] The technical solution adopted by this invention to solve its technical problem is: to provide a method for analyzing lidar heating cover plates based on CAE co-simulation technology, including the following steps:

[0006] A first lidar heating cover model for fluid analysis was created based on the 3D data of the lidar heating cover.

[0007] Define the parameters of the first lidar heating cover model and perform simulation calculations to conduct thermal and wind pressure analysis on the lidar heating cover.

[0008] A second lidar radome heating cover model was created based on the 3D data of the lidar heating cover for structural analysis.

[0009] The simulation results of the first lidar heating cover model are mapped to the second lidar cover heating cover model to obtain the temperature data and surface pressure data of each node on the mapped second lidar cover heating cover model.

[0010] Based on the temperature data and surface pressure data of each node on the mapped second lidar hood heating cover model, the deformation of the second lidar hood heating cover model is calculated through simulation.

[0011] When creating the first lidar heating cover model for fluid analysis based on the three-dimensional data of the lidar heating cover, the size of the air domain is determined according to the size of the lidar heating cover, and the heating wire, inlet and outlet and wall are divided, and the corresponding physical model is specified.

[0012] The parameters of the first lidar heating cover model are defined as follows: the temperature and wind speed of the air inlet and the temperature of the outlet are defined, and the heat output and heating power of the heating wire are set.

[0013] The creation of the second lidar hood heating cover model for structural analysis based on the three-dimensional data of the lidar heating cover is specifically as follows: the second lidar hood heating cover model is established using structural analysis software. The mesh size of the second lidar hood heating cover model is the same as that of the first lidar heating cover model. At the same time, the density, elastic modulus, Poisson's ratio and thermal expansion coefficient of the material are defined in the model, and boundary conditions and ambient temperature are set.

[0014] The process of mapping the simulation results of the first lidar heating cover model to the second lidar cover heating cover model to obtain the temperature data and surface pressure data of each node on the mapped second lidar cover heating cover model is as follows:

[0015] The structural model of the second lidar cover heating plate is imported into the fluid analysis software that built the model of the first lidar heating plate;

[0016] The mapping data is selected based on the imported second lidar cover heating plate structure model. Volume mapping is used for temperature mapping, and surface mapping is used for pressure mapping.

[0017] Create a new field scalar, select the structural analysis software in the scene components, and view the differences in temperature and pressure before and after mapping through the field function;

[0018] Export the temperature data and surface pressure data of each node on the mapped second lidar heating cover model.

[0019] When performing simulation calculations on the second lidar hood heating cover model based on the temperature data and surface pressure data of each node on the mapped second lidar hood heating cover model, the temperature data and surface pressure data of each node on the mapped second lidar hood heating cover model are called using an include file.

[0020] Beneficial effects

[0021] By employing the above-mentioned technical solutions, this invention has the following advantages and positive effects compared with existing technologies: This invention can simulate the deformation of a lidar heating cover plate under different heat and wind speeds, and guide the selection, layout, and structural design of heating wires based on the simulation results. This invention, through a co-simulation analysis method, simultaneously considers the effects of heating and wind speed, and utilizes structural analysis software for co-simulation, greatly improving simulation accuracy and enhancing product performance. This invention uses a numerical simulation method, eliminating the need for physical models for experimental verification, which can significantly improve the R&D effectiveness and reduce development costs of new products. Attached Figure Description

[0022] Figure 1 This is a flowchart of an embodiment of the present invention;

[0023] Figure 2 This is a schematic diagram of the first lidar heating cover plate model in an embodiment of the present invention;

[0024] Figure 3 This is a schematic diagram of the second lidar heating cover plate model in an embodiment of the present invention;

[0025] Figure 4 This is a schematic diagram of data mapping in an embodiment of the present invention;

[0026] Figure 5 This is a schematic diagram of the temperature data and surface pressure data of each node on the second lidar cover heating plate model after mapping, according to an embodiment of the present invention. Detailed Implementation

[0027] The present invention will be further illustrated below with reference to specific embodiments. It should be understood that these embodiments are for illustrative purposes only and are not intended to limit the scope of the invention. Furthermore, it should be understood that after reading the teachings of this invention, those skilled in the art can make various alterations or modifications to the invention, and these equivalent forms also fall within the scope defined by the appended claims.

[0028] This invention relates to a method for analyzing lidar heating covers based on CAE co-simulation technology, comprising the following steps: creating a first lidar heating cover model for fluid analysis based on the three-dimensional data of the lidar heating cover; defining various parameters of the first lidar heating cover model and performing simulation calculations to conduct thermal and wind pressure analysis on the lidar heating cover; creating a second lidar heating cover model for structural analysis based on the three-dimensional data of the lidar heating cover; mapping the simulation results of the first lidar heating cover model to the second lidar heating cover model to obtain temperature data and surface pressure data of each node on the mapped second lidar heating cover model; performing simulation calculations on the second lidar heating cover model based on the temperature data and surface pressure data of each node on the mapped second lidar heating cover model to obtain the deformation of the lidar heating cover. This embodiment can utilize STAR-CCM+ and Abaqus software to reduce the impact on laser penetration, refraction, and reflection from the perspective of deformation and curvature, guiding the selection, layout, and structural design of heating wires.

[0029] Step 1: Create a first lidar heating cover model for fluid analysis based on the 3D data of the lidar heating cover. In this step, STAR-CCM+ software is used to construct the first lidar heating cover model, as follows: Figure 2 As shown, during construction, the appropriate size of the air domain is determined based on the dimensions of the lidar heating cover plate. At the same time, the heating wire, inlet and outlet, and wall surface are divided, and the corresponding physical model is specified.

[0030] Step two: Define the parameters of the first lidar heating cover model and perform simulation calculations to conduct thermal and wind pressure analysis on the lidar heating cover. Specifically, define the parameters of the first lidar heating cover model as follows: define the air inlet temperature and wind speed, and the outlet temperature; simultaneously set the heating element's heat output and heating power.

[0031] Step 3: Based on the 3D data of the lidar heating cover, create a second lidar radome heating cover model for structural analysis (see...). Figure 3 In this step, Abaqus software is used to create a model of the heating cover plate for the second lidar radome. To improve mapping accuracy, the mesh size of the second lidar radome heating cover plate model must be consistent with the mesh size of the first lidar radome heating cover plate model. When creating the model, the density, elastic modulus, Poisson's ratio, and coefficient of thermal expansion of the material need to be defined in the model, and boundary conditions and ambient temperature need to be set.

[0032] Step four: Map the simulation results of the first lidar heating cover model to the second lidar cover heating cover model to obtain the temperature data and surface pressure data of each node on the mapped second lidar cover heating cover model, specifically:

[0033] (a) Import the second lidar cover heating plate structure model into STAR-CCM+ software, and select mm as the unit during import;

[0034] (b) Select mapping data based on the imported second lidar radome heating cover structure model, such as... Figure 4 As shown, in the mapping input, select the imported Abaqus software model, in the region, select the corresponding region in the STAR-CCM+ software, in the temperature mapping, select volume mapping to map the volume temperature, and in the pressure mapping, select surface mapping to map only the surface pressure.

[0035] (c) View the mapping results: Create a new field scalar, select the imported Abaqus model in the scene components, select MappedVertexTemperature in the field function, and you can view and compare the differences in temperature and pressure before and after mapping.

[0036] (d) Export the temperature data and surface pressure data of each node on the mapped second lidar hood heating cover model. Specific data are as follows: Figure 5 As shown.

[0037] Step 5: Perform simulation calculations on the second lidar hood heating cover model based on the temperature data and surface pressure data of each node on the mapped second lidar hood heating cover model. This is achieved by using an include file to export the temperature data and surface pressure data of each node on the mapped second lidar hood heating cover model.

[0038] Step six: Post-processing of results. Based on the results of the co-simulation calculation, read the deformation of the lidar hood heating cover. The deformation of the lidar hood heating cover can be used to optimize the selection, layout, and structural design of the heating wires.

[0039] It is easy to see that this invention provides a reasonable and effective combined CAE analysis method for the performance research of lidar heating cover plates. Based on this method, temperature, wind pressure and deformation analysis of lidar heating cover plates can be performed efficiently to obtain accurate lidar heating cover plate deformation and curvature. This provides strong support for lidar heating cover plate design, heating wire layout, power selection, etc., saves product development cycle and reduces R&D costs.

Claims

1. A method for analyzing lidar heating covers based on CAE co-simulation technology, characterized in that, Includes the following steps: A first lidar heating cover model for fluid analysis was created based on the 3D data of the lidar heating cover. Define the parameters of the first lidar heating cover model and perform simulation calculations to conduct thermal and wind pressure analysis on the lidar heating cover. A second lidar radome heating cover model was created based on the 3D data of the lidar heating cover for structural analysis. The simulation results of the first lidar heating cover model are mapped to the second lidar heating cover model to obtain the temperature data and surface pressure data of each node on the mapped second lidar heating cover model, specifically: The structural model of the second lidar cover heating plate is imported into the fluid analysis software that built the model of the first lidar heating plate; The mapping data is selected based on the imported second lidar cover heating plate structure model. Volume mapping is used for temperature mapping, and surface mapping is used for pressure mapping. Create a new field scalar, select the structural analysis software in the scene components, and view the differences in temperature and pressure before and after mapping through the field function; Export the temperature data and surface pressure data of each node on the mapped second lidar heating cover model; Based on the temperature data and surface pressure data of each node on the mapped second lidar hood heating cover model, the deformation of the second lidar hood heating cover model is calculated through simulation.

2. The method for analyzing lidar heating covers based on CAE co-simulation technology according to claim 1, characterized in that, When creating the first lidar heating cover model for fluid analysis based on the three-dimensional data of the lidar heating cover, the size of the air domain is determined according to the size of the lidar heating cover, and the heating wire, inlet and outlet and wall are divided, and the corresponding physical model is specified.

3. The method for analyzing lidar heating covers based on CAE co-simulation technology according to claim 1, characterized in that, The parameters of the first lidar heating cover model are defined as follows: the temperature and wind speed of the air inlet and the temperature of the outlet are defined, and the heat output and heating power of the heating wire are set.

4. The method for analyzing lidar heating covers based on CAE co-simulation technology according to claim 1, characterized in that, The creation of the second lidar hood heating cover model for structural analysis based on the three-dimensional data of the lidar heating cover is specifically as follows: the second lidar hood heating cover model is established using structural analysis software. The mesh size of the second lidar hood heating cover model is the same as that of the first lidar heating cover model. At the same time, the density, elastic modulus, Poisson's ratio and thermal expansion coefficient of the material are defined in the model, and boundary conditions and ambient temperature are set.

5. The method for analyzing lidar heating covers based on CAE co-simulation technology according to claim 1, characterized in that, When performing simulation calculations on the second lidar hood heating cover model based on the temperature data and surface pressure data of each node on the mapped second lidar hood heating cover model, the temperature data and surface pressure data of each node on the mapped second lidar hood heating cover model are called using an include file.

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