A vehicle environmental test chamber operating control system

Abstract

The present application provides a kind of automobile environment test cabin operation control system, comprising: parameter integration module, for obtaining the porosity of leather material and pore size distribution, and the crystallinity and grain size of plastic material, and real-time collection of environmental parameters and geometric parameters in automobile environment test cabin, generate the parameter matrix C that can be dynamically updated;Virtual model construction module includes construction unit and running unit, to solve the existing automobile environment test cabin operation control system due to the release characteristics difference of chemical pollutants existing in leather and plastic material, the concentration of chemical pollutants released with time and the change law of working condition is complex, lead to its difficult to accurately predict the concentration of chemical pollutants released by leather and plastic material, in turn reduce the control precision of chemical pollutants concentration, seriously affect the accuracy and reliability of automobile chemical pollution test problem.

Description

Technical Field

[0001] This invention relates to the field of automotive environmental test chamber operation control technology, specifically an automotive environmental test chamber operation control system. Background Technology

[0002] The automotive environmental test chamber operation control system is the core platform for environmental adaptability testing of whole vehicles and components, and its role spans the entire life cycle of automotive research and development, production, and quality control. Among these, the automotive environmental test chamber operation control system is crucial for conducting chemical contamination tests.

[0003] However, due to the significant differences in the release characteristics of chemical pollutants from leather and plastic materials widely used in automobiles, the variation of pollutant concentration in the test chamber with time and operating conditions is extremely complex. Therefore, the existing automotive environmental test chamber operation control system is unable to accurately predict the concentration of chemical pollutants released by leather and plastic materials, thereby reducing the control accuracy of chemical pollutant concentration and seriously affecting the accuracy and reliability of automotive chemical pollution tests. This has become a technical problem that urgently needs to be solved by technicians in this field. Summary of the Invention

[0004] The purpose of this invention is to solve the problem that the existing automotive environmental test chamber operation control system has difficulty accurately predicting the concentration of chemical pollutants released by leather and plastic materials due to the difference in the release characteristics of chemical pollutants between them. This leads to a complex variation in the concentration of chemical pollutants released over time and under operating conditions, which in turn reduces the control accuracy of chemical pollutant concentration and seriously affects the accuracy and reliability of automotive chemical pollution tests.

[0005] To achieve the above objectives, the present invention provides an automotive environmental test chamber operation control system, comprising: The parameter integration module is used to obtain the porosity of leather materials. And pore size distribution map, and crystallinity of plastic material. and grain size It also collects environmental parameters in the automotive environmental test chamber in real time. and geometric parameters Generate a parameter matrix C that can be dynamically updated; The virtual model construction module includes construction units and execution units. The construction units can form a model with a volume of C based on the parameter matrix C. Furthermore, it can obtain the instantaneous change rate of virtual pollutant concentration. The virtual model, the running unit is used to combine the parameter matrix C and the instantaneous rate of change Input the data into the virtual model and run it to obtain the diffusion rate of the virtual chemical pollutants. and spatiotemporal distribution values ; The virtual calibration module is used to acquire and calibrate the actual chemical contaminant concentrations in the automotive environmental testing chamber. Calibrate virtual chemical pollutant concentration values ​​in virtual models To the diffusion rate of virtual chemical pollutants and spatiotemporal distribution values Compensation is performed, and an adaptive correction virtual model is generated to predict virtual chemical pollutant concentration values ​​in real time. It then outputs control commands to the automotive environmental test chamber.

[0006] Optionally, the parameter integration module includes a material parameter acquisition unit, which is capable of acquiring the porosity of the leather material. High-resolution scanning electron microscopy with aperture distribution maps, and the ability to obtain crystallinity data of plastic materials. and grain size X-ray diffractometer.

[0007] Optionally, the parameter integration module further includes an environmental parameter acquisition unit, which includes a temperature sensor, a humidity sensor, and an airflow velocity sensor, all capable of acquiring parameters.

[0008] Optionally, the building unit further includes a leather parameter determination subunit, which can calculate the diffusion coefficient of virtual chemical pollutants in the leather material based on the parameter matrix C. : In the formula: Expressed as the baseline diffusion coefficient; Expressed as porosity Correction factor, and the release rate of its virtual chemical pollutants. : In the formula: Represented as the rate constant for the release of virtual chemical pollutants from leather materials; This represents the saturation concentration of contaminants on the surface of the leather material.

[0009] Optionally, the building unit further includes a plastic parameter determination subunit, which can calculate the diffusion coefficient of virtual chemical pollutants in the plastic material based on the parameter matrix C. : In the formula: Expressed as the baseline diffusion coefficient; Expressed as crystallinity Correction factor, and the release rate of its virtual chemical pollutants. : In the formula: Represented as the rate constant for the release of virtual chemical pollutants from plastic materials; This represents the saturation concentration of contaminants on the surface of the plastic material.

[0010] Optionally, the building unit further includes an instantaneous rate of change calculation subunit, and the virtual model generation subunit can calculate the volume. The virtual model is divided into several three-dimensional meshes, and leather or plastic materials are matched within each mesh to generate the instantaneous rate of change of the concentration of virtual pollutants released by the leather or plastic materials. virtual model, Among them, instantaneous rate of change for: or, In the formula: This is represented as the ventilation velocity in the virtual model.

[0011] Alternatively, the diffusion rate for: In the formula: This is represented as the concentration Laplacian operator, which reflects the concentration gradient. This is expressed as the diffusion coefficient of the current material, where the diffusion coefficient is... or .

[0012] Alternatively, the spatiotemporal distribution value for: In the formula: This represents the concentration of the virtual pollutant at the initial moment; This represents the location of virtual pollutant release; This represents the release time of the virtual pollutant; It is represented as the release rate function.

[0013] Optionally, the virtual calibration module includes an error-driven compensation unit, which is used to adjust the actual chemical pollutant concentration value. Virtual chemical pollutant concentration values diffusion rate Calculate the diffusion rate after compensation. : In the formula: It is represented as the compensation strength coefficient.

[0014] Optionally, the virtual calibration module further includes a model update unit, which can update the model based on the compensated diffusion rate. Corrected spatiotemporal distribution values To obtain the corrected spatiotemporal distribution value : In the formula: Represented as the original virtual chemical pollutant concentration distribution; Represented as spatial correction factor. And based on the compensated diffusion rate and corrected spatiotemporal distribution values By combining the Kalman filter correction algorithm, an adaptive correction virtual model is generated, and the virtual chemical pollutant concentration values ​​are predicted in real time using the adaptive correction virtual model. It then outputs control commands to the automotive environmental test chamber.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: The automotive environmental test chamber operation control system proposed in this invention, through the setting of a parameter integration module, generates a dynamically updated parameter matrix C, accurately quantifying the differences in release characteristics of leather and plastic materials under different operating conditions. This provides reliable data for subsequent prediction and precision control of chemical pollutant concentrations. Furthermore, through the setting of a virtual model construction module, it simulates the diffusion rate of virtual chemical pollutants. and spatiotemporal distribution values Then, through the settings of the virtual calibration module, the actual chemical pollutant concentration values ​​can be determined. Virtual chemical pollutant concentration values Calibration was performed, and the diffusion rate of virtual chemical pollutants was measured. and spatiotemporal distribution values After compensation, an adaptive correction virtual model is generated to predict virtual chemical pollutant concentration values ​​in real time. Output to the automotive environmental testing chamber and execute control commands to achieve accurate prediction of the concentration of chemical pollutants released by leather and plastic materials, greatly improving the control accuracy of chemical pollutant concentration, and thus improving the accuracy and reliability of automotive chemical pollution testing.

[0016] As can be seen from the above, the present invention can effectively solve the problem that the existing automotive environmental test chamber operation control system has difficulty in accurately predicting the concentration of chemical pollutants released by leather and plastic materials due to the difference in the release characteristics of chemical pollutants between leather and plastic materials, and the complex change of the concentration of released chemical pollutants with time and operating conditions. This reduces the control accuracy of chemical pollutant concentration and seriously affects the accuracy and reliability of automotive chemical pollution tests.

[0017] Other features and advantages of the present invention will be described in detail in the following detailed description section. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0019] Figure 1 This is a schematic block diagram of an automotive environmental test chamber operation control system according to an embodiment of the present invention. Detailed Implementation

[0020] To enable those skilled in the art to more fully understand the technical solutions of the present invention, exemplary embodiments of the present invention will be described more comprehensively and in detail below with reference to the accompanying drawings. Obviously, the one or more embodiments of the present invention described below are merely one or more specific ways to implement the technical solutions of the present invention, and are not exhaustive. It should be understood that other ways belonging to a general inventive concept can be used to implement the technical solutions of the present invention, and should not be limited to the embodiments described exemplary. Based on one or more embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0021] Reference Figure 1 An embodiment of the present invention provides an operating control system for an automotive environmental test chamber, comprising: The parameter integration module is used to obtain the porosity of leather materials. And pore size distribution map, and crystallinity of plastic material. and grain size It also collects environmental parameters in the automotive environmental test chamber in real time. and geometric parameters Generate a parameter matrix C that can be dynamically updated; The virtual model construction module includes construction units and execution units. The construction units can form a model with a volume of C based on the parameter matrix C. Furthermore, it can obtain the instantaneous change rate of virtual pollutant concentration. The virtual model, the running unit is used to combine the parameter matrix C and the instantaneous rate of change Input the data into the virtual model and run it to obtain the diffusion rate of the virtual chemical pollutants. and spatiotemporal distribution values ; The virtual calibration module is used to acquire and calibrate the actual chemical contaminant concentrations in the automotive environmental testing chamber. Calibrate virtual chemical pollutant concentration values ​​in virtual models To the diffusion rate of virtual chemical pollutants and spatiotemporal distribution values Compensation is performed, and an adaptive correction virtual model is generated to predict virtual chemical pollutant concentration values ​​in real time. It then outputs control commands to the automotive environmental test chamber.

[0022] In one embodiment, the parameter integration module includes a material parameter acquisition unit, which is capable of acquiring the porosity of the leather material. High-resolution scanning electron microscopy with aperture distribution maps, and the ability to obtain crystallinity data of plastic materials. and grain size X-ray diffractometer.

[0023] In one embodiment, the parameter integration module further includes an environmental parameter acquisition unit, which includes a temperature sensor, a humidity sensor, and an airflow velocity sensor, all capable of acquiring parameters.

[0024] Specifically, in the above embodiments of the present invention, the porosity of the leather material is obtained. And pore size distribution map, and crystallinity of plastic material. and grain size By utilizing these microstructural parameters, the characteristics of leather and plastic materials can be accurately quantified. Furthermore, by real-time acquisition of the aforementioned environmental parameters, the dynamic changes of multi-physics coupling effects within the automotive environmental test chamber can be captured in real time. This provides reliable data for subsequent prediction and precision control of chemical pollutant concentrations, contributing to the improvement of the accuracy of concentration prediction and precision control.

[0025] Furthermore, the specific structures and working principles of the aforementioned high-resolution scanning electron microscope, X-ray diffractometer, temperature sensor, humidity sensor, and airflow velocity sensor are all existing technologies, and their installation areas in the automotive environmental test chamber are customized according to specific test requirements. Therefore, this invention will not elaborate further on these aspects here.

[0026] It is worth noting that the parameters acquired by the aforementioned high-resolution scanning electron microscope, X-ray diffractometer, temperature sensor, humidity sensor, light intensity meter, and airflow velocity sensor can all be output to the control module of the automotive environmental test chamber, such as a host computer, to achieve parameter integration and generate a dynamically updated parameter matrix C.

[0027] In one specific embodiment, the parameter matrix C is: In the formula: Represented as a time variable; This is represented as the characteristic value of pore size distribution obtained by performing equivalent diameter statistics on the pores in the pore size distribution map; Represented as a temperature parameter; Represented as a humidity parameter; This is expressed as airflow velocity.

[0028] Specifically, aperture distribution characteristic value The pore size distribution map is obtained by processing it with an edge detection algorithm to extract the pore regions. Then, image analysis software is used to calculate the equivalent diameter of all pores within the extracted regions, simplifying irregular pores into equal-area circles and measuring their diameters. A pore size distribution histogram is plotted with diameter on the horizontal axis and frequency on the vertical axis. The peak position of the distribution curve is determined using Gaussian fitting or peak detection algorithms; the diameter corresponding to this peak is the pore size distribution characteristic value. .

[0029] In one specific embodiment, the construction unit includes a volume determination subunit, which is capable of calculating the volume of the virtual model based on the parameter matrix C. : In the formula: Represented as the length of the virtual model; Represented as the width of the virtual model; This represents the height of the virtual model.

[0030] Specifically, the volume of the virtual model The determination is based on the geometric parameters of the actual automotive environmental test chamber. This decision was made to ensure strict consistency in scale between the virtual model and the automotive environmental test chamber, thereby eliminating errors in the simulation of chemical pollutant diffusion caused by size differences and improving the reliability of concentration prediction.

[0031] In one specific embodiment, the construction unit further includes a leather parameter determination subunit, which is capable of calculating the diffusion coefficient of virtual chemical pollutants in the leather material based on the parameter matrix C. : In the formula: Expressed as the baseline diffusion coefficient; Expressed as porosity Correction factor, and the release rate of its virtual chemical pollutants. : In the formula: Represented as the rate constant for the release of virtual chemical pollutants from leather materials; This represents the saturation concentration of contaminants on the surface of the leather material.

[0032] In one specific embodiment, the construction unit further includes a plastic parameter determination subunit, which is capable of calculating the diffusion coefficient of virtual chemical pollutants in the plastic material based on the parameter matrix C. : In the formula: Expressed as the baseline diffusion coefficient; Expressed as crystallinity Correction factor, and the release rate of its virtual chemical pollutants. : In the formula: Represented as the rate constant for the release of virtual chemical pollutants from plastic materials; This represents the saturation concentration of contaminants on the surface of the plastic material.

[0033] In one embodiment, the building unit further includes an instantaneous rate of change calculation subunit, and the virtual model generation subunit is capable of calculating the volume. The virtual model is divided into several three-dimensional meshes, and leather or plastic materials are matched within each mesh to generate the instantaneous rate of change of the concentration of virtual pollutants released by the leather or plastic materials. virtual model, Among them, instantaneous rate of change for: or, In the formula: This is represented as the ventilation velocity in the virtual model.

[0034] Specifically, ventilation velocity The determination is based on the law of conservation of flow: In the formula: Expressed as volumetric flow rate; A represents the ventilation cross-sectional area.

[0035] Both are determined by environmental parameters. The specific implementation principle of determining the wind turbine performance curve is existing technology and will not be elaborated further in this invention.

[0036] It is worth noting that the above embodiments of the present invention form a volume of Furthermore, it can obtain the instantaneous change rate of virtual pollutant concentration. The virtual model can directly reproduce the pollutants in the automotive environmental testing chamber as they vary with material properties and environmental parameters. The dynamic diffusion process.

[0037] And through instantaneous rate of change It can accurately capture the critical point of concentration change, thereby providing an advanced control basis for the ventilation system of the automotive environmental test chamber, avoiding pollution exceeding the standard due to the lag in concentration monitoring in actual tests. At the same time, by replacing some physical experiments with virtual models, it can significantly reduce R&D costs and improve the iteration efficiency of control strategies.

[0038] In one specific embodiment, the diffusion rate for: In the formula: This is represented as the concentration Laplacian operator, which reflects the concentration gradient. This is expressed as the diffusion coefficient of the current material, where the diffusion coefficient is... or .

[0039] In one specific embodiment, the spatiotemporal distribution value for: In the formula: This represents the concentration of the virtual pollutant at the initial moment; This represents the location of virtual pollutant release; This represents the release time of the virtual pollutant; It is represented as the release rate function.

[0040] Specifically, in the above embodiments of the present invention, the diffusion rate is obtained. By quantifying the instantaneous diffusion capacity of pollutants in a virtual model, the differences in release characteristics between leather and plastic materials are directly revealed, enabling the system to formulate differentiated control strategies for leather and plastic.

[0041] Meanwhile, spatiotemporal distribution values The acquisition of data allows for the precise location of high-risk areas by dynamically simulating the concentration distribution of pollutants in virtual space. This guides the real-time adjustment of the operation control system, thereby controlling the pollutant concentration within the target range and significantly improving the adaptability of the automotive environmental test chamber to complex operating conditions and the reliability of chemical pollution tests.

[0042] In one embodiment, the virtual calibration module includes an error-driven compensation unit, which is used to calculate the actual chemical pollutant concentration value. Virtual chemical pollutant concentration values diffusion rate Calculate the diffusion rate after compensation. : In the formula: It is represented as the compensation strength coefficient.

[0043] In one embodiment, the virtual calibration module further includes a model update unit, which can update the model based on the compensated diffusion rate. Corrected spatiotemporal distribution values To obtain the corrected spatiotemporal distribution value : In the formula: Represented as the original virtual chemical pollutant concentration distribution; Represented as spatial correction factor. And based on the compensated diffusion rate and corrected spatiotemporal distribution values By combining the Kalman filter correction algorithm, an adaptive correction virtual model is generated, and the virtual chemical pollutant concentration values ​​are predicted in real time using the adaptive correction virtual model. It then outputs control commands to the automotive environmental test chamber.

[0044] Specifically, the above embodiments of the present invention achieve efficient adaptive closed-loop control of the virtual calibration module through the synergistic effect of the error-driven compensation unit and the model update unit, combined with the Kalman filter correction algorithm. This significantly improves the adaptability of the virtual model to complex working conditions and effectively reduces concentration prediction errors. At the same time, the introduction of the Kalman filter correction algorithm also enhances the virtual model's anti-noise interference capability, ensuring the stability of control commands and the reliability of the chemical pollution test in the test chamber.

[0045] The automotive environmental test chamber operation control system proposed in this invention, through the setting of a parameter integration module, generates a dynamically updated parameter matrix C, accurately quantifying the differences in release characteristics of leather and plastic materials under different operating conditions. This provides reliable data for subsequent prediction and precision control of chemical pollutant concentrations. Furthermore, through the setting of a virtual model construction module, it simulates the diffusion rate of virtual chemical pollutants. and spatiotemporal distribution values Then, through the settings of the virtual calibration module, the actual chemical pollutant concentration values ​​can be determined. Virtual chemical pollutant concentration values Calibration was performed, and the diffusion rate of virtual chemical pollutants was measured. and spatiotemporal distribution values After compensation, an adaptive correction virtual model is generated to predict virtual chemical pollutant concentration values ​​in real time. Output to the automotive environmental testing chamber and execute control commands to achieve accurate prediction of the concentration of chemical pollutants released by leather and plastic materials, greatly improving the control accuracy of chemical pollutant concentration, and thus improving the accuracy and reliability of automotive chemical pollution testing.

[0046] While one or more embodiments of the present invention have been described above, those skilled in the art will recognize that the present invention can be implemented in any other form without departing from its spirit and scope. Therefore, the embodiments described above are illustrative and not restrictive, and many modifications and substitutions will be apparent to those skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.

Claims

1. A control system for an automotive environmental test chamber, characterized in that, include: The parameter integration module is used to obtain the porosity of leather materials. And pore size distribution map, and crystallinity of plastic material. and grain size It also collects environmental parameters in the automotive environmental test chamber in real time. and geometric parameters This generates a parameter matrix C that can be dynamically updated. The virtual model construction module includes construction units and execution units. The construction units can form a model with a volume of C based on the parameter matrix C. Furthermore, it can obtain the instantaneous change rate of virtual pollutant concentration. The virtual model, the running unit is used to combine the parameter matrix C and the instantaneous rate of change Input the data into the virtual model and run it to obtain the diffusion rate of the virtual chemical pollutants. and spatiotemporal distribution values ; The virtual calibration module is used to acquire and calibrate the actual chemical contaminant concentrations in the automotive environmental testing chamber. Calibrate virtual chemical pollutant concentration values ​​in virtual models To the diffusion rate of virtual chemical pollutants and spatiotemporal distribution values Compensation is performed, and an adaptive correction virtual model is generated to predict virtual chemical pollutant concentration values ​​in real time. It then outputs control commands to the automotive environmental test chamber.

2. The automotive environmental test chamber operation control system according to claim 1, characterized in that, The parameter integration module includes a material parameter acquisition unit, which is capable of acquiring the porosity of the leather material. High-resolution scanning electron microscopy with aperture distribution maps, and the ability to obtain crystallinity data of plastic materials. and grain size X-ray diffractometer.

3. The automotive environmental test chamber operation control system according to claim 2, characterized in that, The parameter integration module also includes an environmental parameter acquisition unit, which includes a temperature sensor, a humidity sensor, and an airflow velocity sensor, all capable of acquiring parameters.

4. The automotive environmental test chamber operation control system according to claim 3, characterized in that, The building unit also includes a leather parameter determination subunit, which can calculate the diffusion coefficient of virtual chemical pollutants in leather material based on parameter matrix C. : In the formula: Expressed as the baseline diffusion coefficient; Expressed as porosity Correction factor, and the release rate of its virtual chemical pollutants. : In the formula: Represented as the rate constant for the release of virtual chemical pollutants from leather materials; This represents the saturation concentration of contaminants on the surface of the leather material.

5. The automotive environmental test chamber operation control system according to claim 4, characterized in that, The building unit also includes a plastic parameter determination subunit, which can calculate the diffusion coefficient of virtual chemical pollutants in the plastic material based on the parameter matrix C. : In the formula: Expressed as the baseline diffusion coefficient; Expressed as crystallinity Correction factor, and the release rate of its virtual chemical pollutants. : In the formula: Represented as the rate constant for the release of virtual chemical pollutants from plastic materials; This represents the saturation concentration of contaminants on the surface of the plastic material.

6. The automotive environmental test chamber operation control system according to claim 5, characterized in that, The building unit also includes an instantaneous rate of change calculation subunit, and the virtual model generation subunit can calculate the volume. The virtual model is divided into several three-dimensional meshes, and leather or plastic materials are matched within each mesh to generate the instantaneous rate of change of the concentration of virtual pollutants released by the leather or plastic materials. virtual model, Among them, instantaneous rate of change for: or, In the formula: This is represented as the ventilation velocity in the virtual model.

7. The automotive environmental test chamber operation control system according to claim 6, characterized in that, The diffusion rate for: In the formula: This is represented as the concentration Laplacian operator, which reflects the concentration gradient. This is expressed as the diffusion coefficient of the current material, where the diffusion coefficient is... or .

8. The automotive environmental test chamber operation control system according to claim 7, characterized in that, The spatiotemporal distribution value for: In the formula: This represents the concentration of the virtual pollutant at the initial moment; This represents the location of virtual pollutant release; This represents the release time of the virtual pollutant; It is represented as the release rate function.

9. The automotive environmental test chamber operation control system according to claim 8, characterized in that, The virtual calibration module includes an error-driven compensation unit, which is used to calculate the actual chemical pollutant concentration value. Virtual chemical pollutant concentration values diffusion rate Calculate the diffusion rate after compensation. : In the formula: It is represented as the compensation strength coefficient.

10. The automotive environmental test chamber operation control system according to claim 9, characterized in that, The virtual calibration module also includes a model update unit, which can update the model based on the compensated diffusion rate. Corrected spatiotemporal distribution values To obtain the corrected spatiotemporal distribution value : In the formula: Represented as the original virtual chemical pollutant concentration distribution; Represented as spatial correction factor. And based on the compensated diffusion rate and corrected spatiotemporal distribution values By combining the Kalman filter correction algorithm, an adaptive correction virtual model is generated, and the virtual chemical pollutant concentration values ​​are predicted in real time using the adaptive correction virtual model. It then outputs control commands to the automotive environmental test chamber.

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