A method for predicting main volatile organic compound components and proportions in a vehicle cabin

By testing and calculating the materials of rail vehicle components, and combining them with actual parameters inside the vehicle, the problem of predicting the composition and proportion of major volatile organic compounds inside the vehicle was solved, achieving rapid and accurate prediction and real-time online monitoring.

CN122197247APending Publication Date: 2026-06-12RADIO & TELEVISION METROLOGY & TESTING (TIANJIN) CO LTD +3

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
RADIO & TELEVISION METROLOGY & TESTING (TIANJIN) CO LTD
Filing Date
2024-12-05
Publication Date
2026-06-12

AI Technical Summary

Technical Problem

Existing technologies are unable to effectively predict the composition and proportion of major volatile organic compounds in rail vehicles, and there is a lack of corresponding analytical methods.

Method used

The component materials are tested using the bag method, environmental chamber method, or micro-chamber method. The predicted proportion of each high volatile organic compound is determined through a series of calculations, taking into account the actual amount of component materials used in the vehicle, the volume of the vehicle compartment, and the air exchange rate in the vehicle.

Benefits of technology

It enables rapid and accurate prediction of the main volatile organic compounds (VOCs) composition and proportion in vehicles, and can be further developed for real-time online prediction.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122197247A_ABST
    Figure CN122197247A_ABST
Patent Text Reader

Abstract

The application discloses a prediction method for main volatile organic components and proportion in a vehicle, which comprises the following steps: determining high volatile organic components in main parts materials; calculating the theoretical content of high volatile organic components released into the vehicle by parts materials at a certain time according to the actual amount of parts materials in the vehicle, the volume of the vehicle cabin and the air exchange amount in the vehicle; calculating the sum of the theoretical content of high volatile organic components released into the vehicle by all parts materials; calculating the prediction proportion of each high volatile organic component in the vehicle; and determining the volatile organic component with high proportion as the main volatile organic component in the vehicle. i The application can quickly realize the prediction of main volatile organic components and proportion in the vehicle by testing and analyzing the parts materials and calculating the prediction proportion of each high volatile organic component in the vehicle at a certain time according to the actual amount of parts materials in the vehicle, the volume of the vehicle cabin and the air exchange amount in the vehicle, and has strong practicability.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] This invention belongs to the technical field of predicting the composition and proportion of volatile organic compounds, specifically relating to a method for predicting the main volatile organic compound composition and proportion inside a vehicle. Background Technology

[0002] With economic and social development and the improvement of people's living standards, the impact of air quality inside rail vehicles on the health of drivers and passengers is attracting increasing attention. Volatile organic compounds (VOCs) in the air inside rail vehicles are mainly released from the materials of the interior components. Current reports have largely achieved source tracing studies of high-risk components and materials inside the vehicles, but there are few reports on prediction, especially on predicting the composition and proportion of the main VOCs inside the vehicles.

[0003] Current research on the predictive composition and proportion of major volatile organic compounds in vehicle interiors includes: (1) Yang Guoji, Liu Fengqin, Liu Houlin, Research on the Environmental Performance of Rail Vehicles, Electric Locomotives & Urban Rail Vehicles, 2020, 43(2), 28-30. This paper analyzes the impact of component performance on the environmental performance of the whole vehicle, as well as the impact of the testing environment on the environmental performance of components and the whole vehicle. It studies the contribution of components to the environmental performance of the whole vehicle, and theoretically calculates and tests the VOC limit of each component according to the environmental control target of the whole vehicle. It proposes that the environmental performance of the whole vehicle can meet the requirements of the standard by controlling the environmental performance of components.

[0004] (2) Hu Yi and Liu Fengqin, The Impact of Interior Decoration Materials on Air Quality of Urban Rail Vehicles, Electric Locomotives and Urban Rail Vehicles, 2019, 42(5), 31-36. Based on the research on the source of air quality of the whole vehicle-components-materials, this paper traces the source of interior components and decoration materials by studying the indoor air quality and main released substances of urban rail vehicles, identifies the high-risk components and materials that have the greatest impact on the air quality of the whole vehicle, and discusses the VOC rectification measures for high-risk components and materials. Turning on the air conditioner and ventilation after high-temperature treatment can significantly improve the air quality of the whole vehicle. Photocatalytic treatment and bio-enzyme treatment can effectively reduce the content of volatile substances released by interior materials.

[0005] The two papers mentioned above do not cover specific methods for tracing or predicting VOCs inside rail vehicles.

[0006] (3) Li Renzhe, Zhong Yuan, Guan Lingling, Research on the source of volatile organic compounds in the air of rail vehicles, Industrial Safety and Environmental Protection, 2020, 46(12), 79-83. This paper conducts source analysis on VOCs in the driver's cab. By using VOC matching analysis, the matching degree between components and VOCs in the driver's cab is confirmed. On this basis, by using mass conservation analysis, the contribution rate of each component to TVOC and formaldehyde in the driver's cab is calculated. Further material-level source analysis is conducted on key polluting components. The results showed that the main source of volatile organic compounds (VOCs) in the driver's cab was the control panel material 3 (AHCC), followed by the interior panel (GFRP) and control panel material 2 (PUR). The component that contributed the most to TVOC in the driver's cab was the control panel material 3 (AHCC), accounting for 57.4%; the component that contributed the most to formaldehyde was the interior panel (GFPR), accounting for 68.5%. The main polluting materials of the control panel material 3 (AHCC) were the panel composite resin and surface coating materials, while the main polluting materials of the interior panel (GFRP) were the substrate resin and surface coating materials.

[0007] (4) A domestic patent with application number CN202111633273, a method for tracing the source of volatile organic compounds in a vehicle, by combining the actual amount of component materials used in the vehicle and the volume of the vehicle compartment, and by calculating the deviation of component materials from the total volatile organic compounds in the vehicle, high-risk component materials can be screened. This method can quickly achieve the tracing of the total volatile organic compounds in the vehicle, and this tracing can be traced back to the specific component materials in the vehicle, thus controlling air quality from the source.

[0008] The two articles mentioned above involve tracing the source of materials for high-risk components, but do not involve predictive analysis of the main VOC components and their proportions inside vehicles. Summary of the Invention

[0009] The main objective of this invention is to overcome the shortcomings and deficiencies of the prior art and provide a method for predicting the composition and proportion of major volatile organic compounds (VOCs) in a vehicle. From the perspective of objective material analysis, the method uses bag analysis, environmental chamber analysis, or micro-chamber analysis to test and analyze component materials. Combined with the actual amount of component materials used in the vehicle, the volume of the vehicle compartment, and the ventilation rate in the vehicle, a series of calculations are performed to obtain the predicted proportion of each high VOC in the vehicle at a certain moment, thereby realizing the prediction of the composition and proportion of major VOCs in the vehicle.

[0010] To achieve the above objectives, the present invention adopts the following technical solution: One aspect of the present invention provides a method for predicting the main volatile organic compound components and their proportions inside a vehicle, comprising the following steps: Identify high-volatile organic compounds in the materials of key components; Based on the actual amount of component materials used inside the vehicle, the vehicle volume, and the air exchange rate inside the vehicle, calculate the first unit of component materials released into the vehicle at a certain moment. i The theoretical content of highly volatile organic compounds; Calculate the sum of the theoretical contents of highly volatile organic compounds released into the vehicle from all component materials; Calculate the predicted percentage of each highly volatile organic compound in the vehicle interior; Volatile organic compounds (VOCs) with a high proportion were identified as the main VOCs in vehicle interiors.

[0011] As a preferred technical solution, the determination of high volatile organic compounds in the materials of key components specifically involves: The main materials of the vehicle interior are tested and analyzed using the bag method, environmental chamber method, or micro-chamber method to screen out the materials with the highest content. x This substance is a highly volatile organic compound.

[0012] As a preferred technical solution, the bag method specifically includes: A certain amount of sample was placed in a sampling bag, filled with high-purity nitrogen, and placed in the test chamber. The bag was then placed at a set temperature for a period of time. The adsorbed air was collected using a sampling tube and analyzed by thermal desorption-gas chromatography-mass spectrometry and high-performance liquid chromatography.

[0013] As a preferred technical solution, the environmental chamber method specifically includes: A sample of a specified size is placed in the test chamber and kept at the set temperature, humidity, time and air flow rate for a period of time. The gas in the test chamber is collected by a sampling tube and analyzed by thermal desorption-gas chromatography-mass spectrometry and high performance liquid chromatography.

[0014] As a preferred technical solution, the micro-cabin method specifically includes: A certain mass of sample is placed inside the micro-chamber and kept at the set temperature, humidity and air flow rate for a period of time before sampling. The sample is then analyzed using thermal desorption-gas chromatography-mass spectrometry and high performance liquid chromatography.

[0015] As a preferred technical solution, the method involves combining the actual amount of component materials used inside the vehicle, the vehicle volume, and the vehicle's ventilation rate to calculate the amount of component materials released into the vehicle at a given moment. i The theoretical content of the highly volatile organic compounds is as follows: among which, ; in, C i (t) represents the moment when the component material is released into the vehicle. i The theoretical content of highly volatile organic compounds; m i The first release from the component materials collected by the sampling tubei The quality of highly volatile organic compounds; m bi The first sample collected from the blank sampling bag i The quality of highly volatile organic compounds; S 整车 This refers to the actual amount of materials used in the vehicle components. S 测试取样量 This refers to the sample size taken during bag testing. t 袋式法 For the bag method testing time of component materials; Q is the air exchange rate inside the vehicle; k is the number of types of materials used in the components. V 车厢 To test the volume of the carriage.

[0016] As a preferred technical solution, the calculation of the sum of the theoretical contents of highly volatile organic compounds released into the vehicle from all component materials specifically involves: ; in, C 总 (t) represents the theoretical sum of the high volatile organic compounds released into the vehicle from all component materials at a certain moment; C i (t) represents the theoretical content of the i-th highly volatile organic compound released into the vehicle from the component material at a certain moment; n represents the number of types of highly volatile organic compounds.

[0017] As a preferred technical solution, the calculation of the predicted proportion of each highly volatile organic compound in the vehicle specifically involves: ; in, Q i (t) represents the predicted percentage of highly volatile organic compounds i inside the vehicle at a certain moment, dimensionless; C i (t) represents the theoretical content of the i-th highly volatile organic compound released into the vehicle from the component material at a certain moment; C 总 (t) represents the theoretical sum of the high volatile organic compounds released into the vehicle from all component materials at a certain moment.

[0018] In another aspect, the present invention provides a prediction system for the main volatile organic compounds (VOCs) components and their proportions in a vehicle interior, applied to the aforementioned prediction method for the main VOCs components and their proportions in a vehicle interior, comprising a high VOCs determination module, a single high VOCs theoretical content calculation module, a total high VOCs theoretical content calculation module, a high VOCs proportion prediction module, and a main VOCs determination module. The high volatile organic compound (VOC) determination module is used to determine the high VOCs in the materials of major components; The module for calculating the theoretical content of a single type of highly volatile organic compound is used to calculate the amount of component materials released into the vehicle at a certain moment, taking into account the actual usage of component materials in the vehicle, the volume of the vehicle compartment, and the ventilation rate inside the vehicle. i The theoretical content of highly volatile organic compounds; The total theoretical content calculation module for high volatile organic compounds is used to calculate the sum of the theoretical contents of high volatile organic compounds released into the vehicle from all component materials; The high volatile organic compound (VOC) proportion prediction module is used to calculate the predicted proportion of each VOC in the vehicle. The main volatile organic compound (VOC) determination module is used to identify VOCs with a high proportion as the main VOCs inside the vehicle.

[0019] In another aspect, the present invention also provides a storage medium storing a program that, when executed by a processor, implements the above-described method for predicting the main volatile organic compound components and their proportions inside a vehicle.

[0020] Compared with the prior art, the present invention has the following advantages and beneficial effects: (1) Based on objective material analysis, this invention tests and analyzes the materials of the components, and combines the actual amount of the components used in the vehicle, the volume of the vehicle compartment and the ventilation volume in the vehicle, and calculates the predicted proportion of each high volatile organic compound in the vehicle at a certain moment through a series of calculations. It can quickly predict the main volatile organic compound components and their proportions in the vehicle, and has strong practicality.

[0021] (2) Based on this method, relevant system software can be developed in the future to realize the real-time online prediction and expression of the main volatile organic compounds in the vehicle. Attached Figure Description

[0022] Figure 1 This is a flowchart of a method for predicting the main volatile organic compounds and their proportions inside a vehicle, according to an embodiment of the present invention. Figure 2 This is a schematic diagram of the structure of a prediction system for the main volatile organic compounds and their proportions inside a vehicle, according to an embodiment of the present invention. Figure 3 This is a schematic diagram of the structure of the storage medium according to an embodiment of the present invention. Detailed Implementation

[0023] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of the present application, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present application without creative effort are within the scope of protection of the present application. Example

[0024] like Figure 1 As shown, this embodiment provides a method for predicting the main volatile organic compound components and their proportions inside a vehicle, including the following steps: Step 1: Identify the high volatile organic compounds (VOCs) in the materials of major components; The main components of the vehicle were tested and analyzed using the bag method, environmental chamber method or micro-chamber method, and the top x substances with the highest content were screened as high volatile organic compounds. The bag method described is suitable for testing aldehydes and ketones such as formaldehyde and acetaldehyde; VOCs and TVOCs such as benzene, toluene, and xylene. It has a wide range of applications, including materials and components, is easy to operate, and has a short cycle time. The specific steps are as follows: A certain amount of sample was placed in a sampling bag, filled with high-purity nitrogen, and placed in the test chamber. The bag was then placed at a set temperature for a period of time (in this embodiment, the temperature was set at 25°C for 16 hours). The adsorbed air was collected using a sampling tube and analyzed using thermal desorption-gas chromatography-mass spectrometry (TDS-GC / MS) and high-performance liquid chromatography (HPLC).

[0025] The environmental chamber method described above is suitable for testing aldehydes and ketones such as formaldehyde and acetaldehyde; VOCs and TVOCs such as benzene, toluene, and xylene. It has a wide range of applications and can examine the effects of temperature, time, and ventilation rate on VOC release from materials or components. The specific steps are as follows: A sample of a specified size is placed in the test chamber and kept at the set temperature, humidity, time and air flow rate for a period of time. The gas in the test chamber is collected by a sampling tube and analyzed by thermal desorption-gas chromatography-mass spectrometry (TDS-GC / MS) and high performance liquid chromatography (HPLC).

[0026] The micro-chamber method described is suitable for testing aldehydes and ketones such as formaldehyde and acetaldehyde; VOCs and TVOCs such as benzene, toluene, and xylene. It features a short testing time and is convenient. The specific steps are as follows: A certain mass of sample was placed inside the micro-chamber and kept at the set temperature, humidity and air flow rate for a period of time before sampling. The sample was then analyzed using thermal desorption-gas chromatography-mass spectrometry (TDS-GC / MS) and high performance liquid chromatography (HPLC).

[0027] Step 2: Based on the actual amount of component materials used in the vehicle, the volume of the vehicle compartment, and the ventilation rate in the vehicle, calculate the theoretical content of the i-th highly volatile organic compound released into the vehicle by the component materials at a certain moment. The calculation method is as shown in formula (1): (1); in: C i (t) represents the theoretical content (mg / m³) of the i-th highly volatile organic compound released into the vehicle from component materials at a certain moment. 3 ; m i Let be the mass (mg) of the i-th highly volatile organic compound released from the component material collected by the sampling tube; m bi Let be the mass (mg) of the i-th highly volatile organic compound collected in the blank sampling bag; S 整车 The actual amount of materials used in the vehicle interior is as follows: elastic supports, seats / unit, other products / m. 2 Or / g or / m, etc.; S 测试取样量 This refers to the sample size for the bag method test: elastic supports and seats / piece, other products / m. 2 Or / g or / m, etc.; t 袋式法 The time for bag-type testing of component materials is given in hours (h). Q The ventilation rate inside the vehicle, m 3 / h; k represents the number of types of materials used in the components; V 车厢 To test the volume of the carriage, m 3 .

[0028] Step 3: Calculate the sum of the theoretical content of highly volatile organic compounds released into the vehicle from all component materials. The calculation method is as follows: (2) (2); in: C 总 (t) represents the theoretical sum of highly volatile organic compounds released into the vehicle from all component materials at a given moment, in mg / m³. 3 ; C i(t) represents the theoretical content (mg / m³) of the i-th highly volatile organic compound released into the vehicle from component materials at a certain moment. 3 ; n is the number of types of highly volatile organic compounds.

[0029] Step 4: Calculate the predicted proportion of each highly volatile organic compound in the vehicle interior. The calculation method is as shown in formula (3): (3); in: Q i (t) represents the predicted percentage of highly volatile organic compounds i inside the vehicle at a certain moment, dimensionless; C i (t) represents the theoretical content (mg / m³) of the i-th highly volatile organic compound released into the vehicle from component materials at a certain moment. 3 ; C 总 (t) represents the theoretical sum of highly volatile organic compounds released into the vehicle from all component materials at a given moment, in mg / m³. 3 .

[0030] Step 5: Volatile organic compounds with a high proportion are identified as the main volatile organic compounds in the vehicle.

[0031] In particular, based on this method, relevant system software can be developed in the future to achieve real-time online prediction and expression of major volatile organic compounds in the vehicle.

[0032] To enable those skilled in the art to better understand the solution of this application, this embodiment also uses 12 major component materials used in the passenger compartment of a certain urban rail vehicle as examples to illustrate the solution of this application.

[0033] A bag-type test was conducted on 12 major component materials used in the passenger compartment of a certain urban rail vehicle (placed at 25°C for 16 hours). The results were based on VOC test results, the sample size, the amount used in the entire vehicle, and the volume of the carriage (approximately 110 m³). 3 ), In-vehicle ventilation volume (0.4 m³) 3 Following the aforementioned steps, a series of calculations were performed to obtain the predicted proportions of each highly volatile organic compound (VOC) in the vehicle interior. Simultaneously, after sealing the passenger compartment at room temperature for 12 hours, samples were collected and analyzed to obtain the top VOCs and their proportions, which were then compared with the predicted proportions. See Tables 1 and 2 for details.

[0034] ; Table 1. Sampling quantity and total usage of materials for major components in the passenger compartment of a certain urban rail vehicle; ; Table 2. Comparison of the main volatile organic compounds and their proportions inside a certain urban rail vehicle after the passenger compartment was sealed for 12 hours with the measured results; As shown in Table 2, the main volatile organic compounds (VOCs) predicted for the passenger compartment based on the testing and calculation of the main component materials are p / m-xylene, benzyl alcohol, o-xylene, ethylbenzene, and propylene glycol methyl ether acetate. This is completely consistent with the main VOCs measured in the passenger compartment. Moreover, the relative deviations between the predicted and measured proportions of each substance are all within 20%, indicating that the method is relatively accurate and reliable and can quickly predict the main VOC components and proportions in the vehicle interior.

[0035] like Figure 2 As shown, in another embodiment of this application, a prediction system for the main volatile organic compounds (VOCs) components and their proportions inside a vehicle is provided. The system includes a high VOCs determination module, a single high VOCs theoretical content calculation module, a total high VOCs theoretical content calculation module, a high VOCs proportion prediction module, and a main VOCs determination module. The high volatile organic compound (VOC) determination module is used to determine the high VOCs in the materials of major components; The single high volatile organic compound theoretical content calculation module is used to calculate the theoretical content of the i-th high volatile organic compound released into the vehicle at a certain moment by combining the actual amount of component materials used in the vehicle, the volume of the vehicle compartment, and the ventilation volume in the vehicle. The total theoretical content calculation module for high volatile organic compounds is used to calculate the sum of the theoretical contents of high volatile organic compounds released into the vehicle from all component materials; The high volatile organic compound (VOC) proportion prediction module is used to calculate the predicted proportion of each VOC in the vehicle. The main volatile organic compound (VOC) determination module is used to identify VOCs with a high proportion as the main VOCs inside the vehicle.

[0036] It should be noted that the system provided in the above embodiments is only an example of the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure can be divided into different functional modules to complete all or part of the functions described above. This system is a method for predicting the main volatile organic compounds and their proportions in a vehicle interior, applied to the above embodiments.

[0037] like Figure 3As shown, in another embodiment of this application, a storage medium is also provided, storing a program that, when executed by a processor, implements a method for predicting the main volatile organic compound components and their proportions inside a vehicle, specifically: S1. Identify the high volatile organic compounds in the materials of major components; S2. Based on the actual amount of component materials used in the vehicle, the volume of the vehicle compartment, and the ventilation rate in the vehicle, calculate the theoretical content of the i-th highly volatile organic compound released into the vehicle by the component materials at a certain moment. S3. Calculate the sum of the theoretical contents of highly volatile organic compounds released into the vehicle from all component materials; S4. Calculate the predicted proportion of each highly volatile organic compound in the vehicle interior; S5. Identify the volatile organic compounds with a high proportion as the main volatile organic compounds in the vehicle interior.

[0038] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0039] The above embodiments are preferred embodiments of the present invention, but the embodiments of the present invention are not limited to the above embodiments. Any changes, modifications, substitutions, combinations, or simplifications made without departing from the spirit and principle of the present invention shall be considered equivalent substitutions and shall be included within the protection scope of the present invention.

Claims

1. A method for predicting the main volatile organic compound components and their proportions inside a vehicle, characterized in that, Includes the following steps: Identify high-volatile organic compounds in the materials of key components; Based on the actual amount of component materials used in the vehicle, the volume of the vehicle compartment, and the ventilation rate in the vehicle, calculate the theoretical content of the i-th highly volatile organic compound released into the vehicle by component materials at a certain moment. Calculate the sum of the theoretical contents of highly volatile organic compounds released into the vehicle from all component materials; Calculate the predicted percentage of each highly volatile organic compound in the vehicle interior; Volatile organic compounds (VOCs) with a high proportion were identified as the main VOCs in vehicle interiors.

2. The method for predicting the main volatile organic compound components and their proportions inside a vehicle according to claim 1, characterized in that, The determination of high volatile organic compounds in the materials of major components specifically includes: The main components of the vehicle are tested and analyzed using the bag method, environmental chamber method, or micro-chamber method, and the top x substances with the highest content are screened as high volatile organic compounds.

3. The method for predicting the main volatile organic compound components and their proportions inside a vehicle according to claim 2, characterized in that, The bag method specifically refers to: A certain amount of sample was placed in a sampling bag, filled with nitrogen, and placed in the test chamber. The bag was then placed at a set temperature for a period of time. The adsorbed air was collected using a sampling tube and analyzed by thermal desorption-gas chromatography-mass spectrometry and high performance liquid chromatography.

4. The method for predicting the main volatile organic compound components and their proportions inside a vehicle according to claim 2, characterized in that, The environmental chamber method is specifically as follows: A sample of a specified size is placed in the test chamber and kept at the set temperature, humidity, time and air flow rate for a period of time. The gas in the test chamber is collected by a sampling tube and analyzed by thermal desorption-gas chromatography-mass spectrometry and high performance liquid chromatography.

5. The method for predicting the main volatile organic compound components and their proportions inside a vehicle according to claim 2, characterized in that, The micro-cabin method is specifically as follows: A certain mass of sample is placed inside the micro-chamber and kept at the set temperature, humidity and air flow rate for a period of time before sampling. The sample is then analyzed using thermal desorption-gas chromatography-mass spectrometry and high performance liquid chromatography.

6. The method for predicting the main volatile organic compound components and their proportions inside a vehicle according to claim 1, characterized in that, The method combines the actual amount of component materials used in the vehicle, the vehicle volume, and the vehicle ventilation rate to calculate the theoretical content of the i-th highly volatile organic compound released into the vehicle at a certain moment. Specifically: ; in, C i (t) represents the moment when the component material is released into the vehicle. i The theoretical content of highly volatile organic compounds; m i The first release from the component materials collected by the sampling tube i The quality of highly volatile organic compounds; m bi The first sample collected from the blank sampling bag i The quality of highly volatile organic compounds; S 整车 This refers to the actual amount of materials used in the vehicle components; S 测试取样量 This refers to the sample size taken during bag testing. t 袋式法 For the bag method testing time of component materials; Q is the air exchange rate inside the vehicle; k is the number of types of materials used in the components. V 车厢 To test the volume of the carriage.

7. The method for predicting the main volatile organic compound components and their proportions inside a vehicle according to claim 1, characterized in that, The calculation of the sum of the theoretical contents of highly volatile organic compounds released into the vehicle from all component materials is as follows: ; in, C 总 (t) represents the theoretical sum of the high volatile organic compounds released into the vehicle from all component materials at a certain moment; C i (t) represents the theoretical content of the i-th highly volatile organic compound released into the vehicle from the component material at a certain moment; n represents the number of types of highly volatile organic compounds.

8. The method for predicting the main volatile organic compound components and their proportions inside a vehicle according to claim 1, characterized in that, The calculation of the predicted proportion of each highly volatile organic compound in the vehicle is specifically as follows: ; in, Q i (t) represents the predicted percentage of highly volatile organic compounds i inside the vehicle at a certain moment, dimensionless; C i (t) represents the theoretical content of the i-th highly volatile organic compound released into the vehicle from the component material at a certain moment; C 总 (t) represents the theoretical sum of the high volatile organic compounds released into the vehicle from all component materials at a certain moment.

9. A prediction system for the main volatile organic compounds and their proportions inside a vehicle, characterized in that, A method for predicting the composition and proportion of major volatile organic compounds in a vehicle interior, applicable to any one of claims 1-8, includes a high volatile organic compound determination module, a single high volatile organic compound theoretical content calculation module, a total high volatile organic compound theoretical content calculation module, a high volatile organic compound proportion prediction module, and a major volatile organic compound determination module. The high volatile organic compound (VOC) determination module is used to determine the high VOCs in the materials of major components; The single high volatile organic compound theoretical content calculation module is used to calculate the theoretical content of the i-th high volatile organic compound released into the vehicle at a certain moment by combining the actual amount of component materials used in the vehicle, the volume of the vehicle compartment, and the ventilation volume in the vehicle. The total theoretical content calculation module for high volatile organic compounds is used to calculate the sum of the theoretical contents of high volatile organic compounds released into the vehicle from all component materials; The high volatile organic compound (VOC) proportion prediction module is used to calculate the predicted proportion of each VOC in the vehicle. The main volatile organic compound (VOC) determination module is used to identify VOCs with a high proportion as the main VOCs inside the vehicle.

10. A storage medium storing a program, characterized in that: When the program is executed by the processor, it implements the method for predicting the main volatile organic compounds and their proportions inside a vehicle as described in any one of claims 1-8.