Simulation of in-vehicle gas concentration time course curve and air quality rectification and early warning method

Abstract

The embodiment of the present invention discloses a method for simulating a time-history curve of gas concentration in a vehicle and an early warning method for rectification of air quality. The simulation method includes: simulating the emission process of harmful gases of each component in a preset limited space based on the principle of computational fluid dynamics according to the simulation model of each component in the vehicle and the emission parameters of each interior material, and obtaining the time-history curve of gas concentration of each component; fitting the equivalent emission parameters of each component according to the time-history curve of gas concentration of each component, and the equivalent emission parameters characterize the harmful gas emission properties of each component as a whole; simulating the emission process of harmful gases in the space of the whole vehicle based on the principle of computational fluid dynamics according to the simulation model of the whole vehicle and the equivalent emission parameters of each component, and obtaining the time-history curve of gas concentration of the whole vehicle. This embodiment realizes the simulation of the emission process of harmful gases in a non-convection space.

Description

Technical Field

[0001] The embodiments of the present invention relate to the technical field of harmful gas analysis, and in particular to a method for simulating a time-history curve of in-vehicle gas concentration and an air quality rectification and early warning method. Background Art

[0002] Seats, dashboards, carpets, ceilings, sealing strips and other vehicle parts are generally made of petrochemical interior materials such as plastic, leather, and adhesives. They contain a certain amount of volatile harmful gas components such as benzene, toluene, ethylbenzene, xylene, styrene, formaldehyde, acetaldehyde, acrolein, etc., which will continue to be emitted during the use of the car and affect the health of the driver and passengers.

[0003] In the prior art, the harmful gas composition and emission patterns of interior materials are usually analyzed from the perspective of materials to carry out harmful gas analysis and air quality control in the car. However, due to the different usage, air exposure area, stacking and covering state, spatial layout, etc. of different interior materials such as plastics, leathers, adhesives, etc. in the car, the harmful gas emission pattern of each material alone is significantly different from the harmful gas emission pattern of the material in the state of multiple materials coexisting in the car. It is difficult to obtain the harmful gas emission pattern in the car based on the harmful gas emission parameters of each material alone. Summary of the invention

[0004] The embodiment of the present invention provides a method for simulating a time-history curve of gas concentration in a vehicle and an early warning method for air quality rectification, which realizes the simulation of the harmful gas emission process in a non-convection space based on computational fluid dynamics theory and a three-dimensional finite element numerical simulation method.

[0005] In a first aspect, an embodiment of the present invention provides a method for simulating a time-history curve of gas concentration in a vehicle, comprising:

[0006] According to the simulation models of various components in the vehicle and the emission parameters of various interior materials, the emission process of harmful gases from various components in a preset limited space is simulated based on the principle of computational fluid dynamics to obtain the gas concentration time history curve of each component;

[0007] According to the gas concentration time history curve of each component, the equivalent emission parameters of each component are fitted, and the equivalent emission parameters characterize the harmful gas emission properties of each component as a whole;

[0008] According to the vehicle simulation model and the equivalent emission parameters of each component, the emission process of harmful gases in the vehicle space is simulated based on the principle of computational fluid dynamics to obtain the vehicle gas concentration time history curve;

[0009] Among them, the simulation model is a three-dimensional finite element numerical simulation model, the whole vehicle simulation model includes at least one component simulation model, and each component simulation model includes at least one interior material body simulation model; the gas concentration time history curve reflects the change process of harmful gas concentration over time in a natural non-convection space.

[0010] In a second aspect, an embodiment of the present invention provides a method for early warning of in-vehicle air quality rectification, comprising:

[0011] Take each component in the car as the target component and perform the following operations:

[0012] S-1: Based on the simulation model of the target component and the emission parameters of each interior material, the emission process of harmful gases of the target component in a preset limited space is simulated based on the principle of computational fluid dynamics to obtain the gas concentration time history curve of the target component;

[0013] S-2: extracting the concentration of harmful gas at the target component at the benchmark time from the gas concentration time history curve of the target component;

[0014] S-3: If the concentration at the benchmarking time is greater than or equal to the preset harmful gas control concentration index of the target component, an air quality rectification warning for the target component is issued, and the suspension state is entered; the target component air quality rectification warning is used to prompt the user to rectify the target component; in response to the user inputting the simulation model of the rectified target component, the simulation model of the target component is updated, and the operation of S-1 is returned until the concentration of the target component at the benchmarking time is less than the control concentration index;

[0015] S-4: fitting the equivalent emission parameters of the target component according to the gas concentration time history curve of the target component, wherein the equivalent emission parameters characterize the harmful gas emission properties of the target component as a whole;

[0016] After obtaining the equivalent emission parameters of all components, the emission process of harmful gases in the whole vehicle space is simulated based on the computational fluid dynamics principle according to the whole vehicle simulation model and the equivalent emission parameters, and the whole vehicle gas concentration time history curve is obtained;

[0017] Among them, the simulation model is a three-dimensional finite element numerical simulation model, the whole vehicle simulation model includes at least one component simulation model, and each component simulation model includes at least one interior material body simulation model; the gas concentration time history curve reflects the change process of harmful gas concentration over time in a natural non-convection space.

[0018] In a third aspect, an embodiment of the present invention further provides an electronic device, the electronic device comprising:

[0019] one or more processors;

[0020] a memory for storing one or more programs,

[0021] When the one or more programs are executed by the one or more processors, the one or more processors implement the in-vehicle gas concentration time-history curve simulation method or the in-vehicle air quality rectification and early warning method described in any embodiment.

[0022] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the in-vehicle gas concentration time-history curve simulation method or the in-vehicle air quality rectification and early warning method described in any embodiment.

[0023] The embodiment of the present invention realizes the simulation of the harmful gas diffusion process in the non-convection space based on the computational fluid dynamics theory and the three-dimensional finite element numerical simulation method, and divides the gas diffusion simulation in the whole vehicle into two stages: the simulation from materials to parts and the simulation from parts to the whole vehicle. In the simulation stage from parts to the whole vehicle, the diffusion parameters at all grid nodes in the simulation model of the parts are uniformly set to the equivalent diffusion parameters of the parts, ignoring the complex material diffusion parameters inside the simulation model of the parts, which can improve the simulation calculation efficiency while ensuring the simulation accuracy, and realize the reuse of the simulation process in the two simulation stages, simplifying the setting and operation methods of the entire simulation method. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0025] Figure 1 is a flow chart of a method for predicting the concentration of harmful gases in a vehicle provided by an embodiment of the present invention;

[0026] Figure 2 is a schematic diagram of a whole vehicle simulation model provided by an embodiment of the present invention;

[0027] Figure 3 is a comparison chart of the simulated value and the measured value of the concentration of harmful gases in the whole vehicle space provided by the embodiment of the present invention;

[0028] Figure 4 is a flow chart of a method for early warning of in-vehicle air quality rectification provided by an embodiment of the present invention;

[0029] Figure 5is a flow chart of a method for determining a vehicle interior material solution provided by an embodiment of the present invention;

[0030] Figure 6 It is a structural schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0031] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work belong to the scope of protection of the present invention.

[0032] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and "third" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

[0033] In the description of the present invention, it is also necessary to explain that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0034] Figure 1 1 is a flow chart of a method for simulating a time course curve of gas concentration in a vehicle provided by an embodiment of the present invention. The method is applicable to studying the distribution law of gas concentration in a vehicle by simulation, and is executed by an electronic device. Figure 1 As shown, the method specifically includes:

[0035] S110, according to the simulation model of each component in the vehicle and the emission parameters of each interior material, based on the principle of computational fluid dynamics, simulate the emission process of harmful gases from each component in a preset limited space to obtain a gas concentration time history curve of each component.

[0036] The components in the car are composed of a variety of interior materials, so the simulation models of each component include simulation models of a variety of interior materials. The gas concentration time history curve uses gas concentration as the ordinate and time as the abscissa, reflecting the change process of harmful gas concentration in a natural non-convection space over time. Specifically, the component gas concentration time history curve reflects the change process of the average concentration of harmful gas in a limited space over time when a component is placed alone in a preset limited space. Each component corresponds to a component gas concentration time history curve.

[0037] This embodiment simulates the emission process of harmful gases from vehicle parts in a preset limited space based on the principle of computational fluid dynamics. The simulation models are all three-dimensional finite element numerical simulation models, and the simulation is a three-dimensional finite element numerical simulation, which is implemented based on three-dimensional finite element numerical simulation software.

[0038] In a specific embodiment, the emission parameters include: initial emission concentration, diffusion coefficient and distribution coefficient of the harmful gas, and the simulation process of the component specifically includes the following operation steps:

[0039] Step 1: In any component simulation model, each first emitting region is divided into a plurality of finite element grids, wherein the boundary grid size is smaller than the internal grid size. The first emitting region is: any material body simulation model or gaseous space within the finite space. The gaseous space refers to a space where only gas (including air and harmful gas) exists.

[0040] The object of the component simulation in this embodiment is the emission process of harmful gases in a preset limited space. Specifically, first, the component simulation model is loaded in the simulation software, and the boundary of the limited space is set around the model. Then, the simulation software simulates the emission process of the harmful gas emitted by the component in the limited space. Correspondingly, the first emission area refers to the simulation models of each material body included in the component simulation model; or the gaseous space within the limited space and outside the simulation models of each material body, where only gas exists.

[0041] The boundary grid is the finite element grid at the boundary of the first emission area, and the internal grid is the finite element grid inside the first emission area. This embodiment classifies the finite element grids according to the grid positions, because the finite element grids at different positions have different gas emission states. For example, the boundary grid is located at the boundary where each interior material contacts each other or the boundary where each interior material contacts the gaseous space. There are different gas emission media (each interior material or air) on both sides, and the gas is rapidly emitted, so a finer grid is divided (such as a grid size of 0.01 mm); while the internal grid is located inside each interior material body or inside the gaseous space, the surrounding gas emission medium is the same, and the gas is slowly emitted, so a coarser grid is divided (such as a grid size of 50 mm).

[0042] Step 2: Initialize the initial concentration of harmful gases at each grid node according to the initial radiatable concentration of harmful gases of each interior material.

[0043] The initial emitting concentration of harmful gases (hereinafter referred to as "initial emitting concentration") characterizes the concentration of volatile harmful gases that can be emitted by interior materials, and is an intrinsic property of interior materials at the initial moment. When the environmental conditions such as temperature, humidity, and pressure are constant, the initial emitting concentration of interior materials is constant, regardless of the size of the space. Different interior materials correspond to different initial emitting concentrations, and the initial emitting concentration of harmful gases in the air defaults to 0.

[0044] In this embodiment, at the grid nodes of the material body simulation model, the initial concentration of harmful gases (hereinafter referred to as "initial concentration") is set to the initial emitting concentration of the corresponding interior material; at the grid nodes of the gaseous space, the initial concentration is set to 0.

[0045] Step three: simulate the harmful gas emission process of the component simulation model in the limited space according to the initial concentration, the diffusion coefficient and the distribution coefficient, and obtain the corresponding component gas concentration time history curve.

[0046] Specifically, two constraints need to be provided during the simulation process: (1) initial simulation state, and (2) control equation. The simulation software will automatically simulate the emission process of harmful gases in a limited space based on these two constraints.

[0047] For constraint condition (1), this embodiment uses the initial concentration as the initial simulation state. For constraint condition 2 (2), this embodiment uses Fick's second diffusion law as the control equation at all grid nodes, and Henry's law as another control equation at the boundary grid nodes of each first emission region. This is because, according to computational fluid dynamics theory, gas diffusion at any position follows Fick's second diffusion law; and the concentration of gas in different media must also follow Henry's law.

[0048] Furthermore, Fick's second diffusion law and Henry's law include the diffusion coefficient and distribution coefficient of the medium. Substituting the diffusion coefficient and distribution coefficient of each interior material into Fick's second diffusion law and Henry's law, the control equation can be obtained.

[0049] After the two constraints are established, the simulation software automatically calculates the gas concentration at each grid node at each diffusion moment based on these constraints. Based on the multiple gas concentrations obtained, the component gas concentration time history curve corresponding to the component is fitted.

[0050] S120, fitting the equivalent emission parameters of each component according to the gas concentration time history curve of each component, wherein the equivalent emission parameters characterize the harmful gas emission properties of the entire component.

[0051] The prior art defines the emission parameters of materials, but does not define the "emission parameters of components", so the emission parameters of components are referred to as "equivalent emission parameters" in this embodiment, which are used to characterize the harmful gas emission properties of the components as a whole. Optionally, when the emission parameters of the interior material include the initial emitting concentration of harmful gases, the diffusion coefficient and the distribution coefficient, the equivalent emission parameters of the components correspondingly include: the equivalent initial emitting concentration of harmful gases, the equivalent diffusion coefficient and the equivalent distribution coefficient.

[0052] The key emission parameter fitting algorithms provided by the prior art can fit the emission parameters of the material according to the gas concentration time history curve of the material (referred to as "material gas concentration time history curve"). By extending these algorithms to components, the equivalent emission parameters of the components can be fitted according to the component gas concentration time history curve.

[0053] S130. According to the whole vehicle simulation model and the equivalent emission parameters of each component, based on the principle of computational fluid dynamics, a harmful gas emission process in the whole vehicle space is simulated to obtain a whole vehicle gas concentration time history curve.

[0054] The simulation model is also a three-dimensional finite element numerical simulation model. The whole vehicle simulation model includes the above-mentioned simulation models of each component. Figure 2 It is a schematic diagram of a whole vehicle simulation model provided by an embodiment of the present invention, and draws geometric models for 12 kinds of in-vehicle components and limited spaces.

[0055] The simulation process of the whole vehicle is similar to that of the parts, which includes the following steps:

[0056] Step 1: In the vehicle simulation model, the gaseous space is divided into multiple finite element grids, wherein the boundary grid size is smaller than the internal grid size.

[0057] Since mesh division has been performed in the simulation models of each component, the gaseous space is meshed separately here. The simulation models of each component can use the mesh that has been divided, or can be meshed again, which is not limited in this embodiment.

[0058] Step 2: Initialize the initial concentration of harmful gases at each grid node according to the initial radiatable concentration of harmful gases equivalent of each component.

[0059] In this embodiment, the equivalent initial emitting concentration of harmful gases (hereinafter referred to as "equivalent initial emitting concentration") characterizes the concentration of volatile harmful gases that can be emitted by a component, and is considered an intrinsic property of the component. When the environmental conditions such as temperature, humidity, and pressure are constant, the equivalent initial emitting concentration of the component is constant, regardless of the size of the space in which it is located.

[0060] Step three: simulate the harmful gas emission process in the whole vehicle space according to the initial concentration, the equivalent diffusion coefficient and the equivalent distribution coefficient to obtain a harmful gas concentration time course curve of the whole vehicle.

[0061] The simulation process uses Fick's second diffusion law as the control equation at all grid nodes, and Henry's law as another control equation at the boundary grid nodes of each second diffusion area. Second diffusion area: any material component simulation model or gas space in the vehicle space.

[0062] Figure 3 This is a comparison chart of the simulated value and the measured value of the harmful gas concentration in the whole vehicle space provided by the embodiment of the present invention. The harmful gas in the figure is toluene. It can be seen that the difference and change law between the simulated value and the measured value of toluene concentration both achieve high simulation accuracy, thereby accurately reflecting the change process of the gas concentration in the whole vehicle space over time.

[0063] This embodiment is based on computational fluid dynamics theory and three-dimensional finite element numerical simulation method, realizes the simulation of harmful gas diffusion process in non-convection space, and divides the gas diffusion simulation in the whole vehicle into two stages: simulation from materials to parts and simulation from parts to the whole vehicle. In the simulation stage from parts to the whole vehicle, the diffusion parameters at all grid nodes in the simulation model of the parts are uniformly set to the equivalent diffusion parameters of the parts, ignoring the complex material diffusion parameters inside the simulation model of the parts, which can improve the simulation calculation efficiency while ensuring the simulation accuracy, and realize the reuse of the simulation process in the two simulation stages, simplifying the setting and operation method of the entire simulation method. In addition, the final vehicle gas concentration time course curve can be used to predict the concentration of harmful gases in the whole vehicle at any time, which is applicable to all vehicles of the same model, and has rich scalable functions and applicable scenarios.

[0064] Based on the above embodiments and the following embodiments, this embodiment refines the simulation process from parts to the whole vehicle stage. Optionally, according to the whole vehicle simulation model and the equivalent emission parameters of each component, the emission process of harmful gases in the whole vehicle space is simulated based on the principle of computational fluid dynamics to obtain the whole vehicle gas concentration time course curve, which specifically includes the following steps:

[0065] Firstly, each interior material body simulation model in each component simulation model is removed, and only the boundary of each component simulation model is retained.

[0066] Due to the introduction of equivalent emission parameters, the components can be regarded as a whole in the simulation stage from components to the whole vehicle, and the complex material body simulation model inside the component simulation model can be ignored. Therefore, before the automatic simulation calculation of the whole vehicle, the material body simulation model inside the component simulation model is first removed, and only the boundaries of each component simulation model are retained, making the structural data and emission parameter data of the component simulation model simpler.

[0067] Then, according to the positions of the components in the whole vehicle, the simulation models of the components with the boundaries preserved are arranged in the original whole vehicle model to obtain the final simulation model of the whole vehicle.

[0068] The original vehicle model only includes the boundary of the vehicle space. The simulation models of each component that only retains the boundary are directly arranged in the original vehicle simulation model to construct the final vehicle simulation model.

[0069] Finally, the simulation models of each component with the retained boundary are re-divided into multiple finite element meshes, where the boundary mesh size is smaller than the internal mesh size. The boundary mesh here refers to the finite element mesh at the boundary of each component simulation model, and the internal mesh is the finite element mesh inside the simulation model of each component.

[0070] In the material to component simulation stage, the finite element mesh in the component simulation model is divided according to the specific material body simulation model, and the boundary mesh of each material body simulation model is smaller than the internal mesh, so as to take into account both simulation accuracy and simulation efficiency. In this embodiment, the component simulation model with only the boundary is re-meshed, and after re-division, the boundary mesh size of the same component simulation model is still smaller than the internal mesh size.

[0071] In the component-to-vehicle simulation stage, this embodiment re-grids the component simulation model with retained boundaries. After the division, the number of grids inside the component simulation model is greatly reduced, and the diffusion parameters of the grid nodes can be uniformly set to the equivalent diffusion parameters of the component, further simplifying the position data and parameter data in the component simulation model and the vehicle simulation model, which is conducive to further improving the simulation efficiency.

[0072] Based on the above embodiments and the following embodiments, this embodiment refines the specific simulation process. Optionally, according to the initial concentration, the diffusion coefficient and the distribution coefficient, the harmful gas emission process of the component simulation model in the limited space is simulated, which specifically includes the following steps:

[0073] Step 1: Substitute the diffusion coefficient and the distribution coefficient into Fick's second diffusion law and Henry's law to obtain the control equation of the simulation process.

[0074] Optionally, the three-dimensional Fick's second diffusion law is used as the governing equation at all mesh nodes. Specifically, the diffusion coefficient of each material is substituted into the three-dimensional Fick's second diffusion law to obtain the following governing equation:

[0075]

[0076] Where (x, y, z) represents the spatial coordinates of the grid node, t represents the diffusion time, C(x, y, z, t) represents the gas concentration at the grid node (x, y, z) at time t, and D i Represents the diffusion coefficient of material i to which the mesh node (x, y, z) belongs (in three-dimensional Fick's second diffusion law, the diffusion coefficient refers to the isotropic diffusion coefficient).

[0077] For any two adjacent first divergent regions, substituting the distribution coefficient of the corresponding medium into Henry's law, the following governing equation is obtained:

[0078]

[0079] Wherein, (x1, y1, z1) and (x2, y2, z2) represent the position coordinates of two adjacent grid nodes in the first divergent region, C(x1, y1, z1, t) and C(x2, y2, z2, t) represent the gas concentrations at (x1, y1, z1) and (x2, y2, z2) at time t, respectively, and K1 and K2 represent the distribution coefficients of two media, respectively. The two media can be two interior materials, or one interior material and air. The diffusion coefficient and distribution coefficient of air are obtained by referring to the literature.

[0080] Step 2: According to the initial concentration and the control equation, the emission process of the harmful gas in a continuous period is simulated; at the same time, the concentration of the harmful gas in the limited space is calculated at multiple calculation moments, wherein each calculation moment is determined according to the change rate of the concentration of the harmful gas in the limited space.

[0081] The gas concentration at each grid node is constantly changing during the simulation process, and it is not necessary to record all the numerical changes in the entire process. This embodiment selects multiple measurement moments to measure the concentration of harmful gases in the limited space at these moments. Optionally, at any measurement moment, the average concentration of harmful gases at all grid nodes in the limited space is used as the gas concentration at that moment.

[0082] Optionally, each measurement moment is determined according to the rate of change of the concentration of harmful gases in the limited space. The greater the rate of change, the faster the diffusion speed, and the denser the intervals between the measurement moments. Usually, within the overall diffusion period (e.g., 48 hours), the time period composed of each measurement moment presents a pattern of first being dense (e.g., 1 second in length) and then being sparse (e.g., 10 minutes in length).

[0083] Optionally, after the current measurement is completed, the gas concentration change rate at the current measurement is calculated based on the gas concentration at the current measurement and the gas concentration at the previous measurement, referred to as the "current change rate"; the next measurement is determined based on the current change rate. Specifically, Among them, ΔC(t) represents the current change rate, C(t) represents the gas concentration at the current measurement moment, and C(t-1) represents the gas concentration at the previous measurement moment.

[0084] Optionally, the next measurement moment is determined based on the current change rate, including: if the current change rate is greater than or equal to a preset change rate threshold (such as 1%), the time interval between the next measurement moment and the current measurement moment is set to a first time period (such as 1 second); otherwise, the time interval is set to a second time period (such as 10 minutes).

[0085] Step 3: Fit the gas concentration time history curve of the component according to the harmful gas concentration at each measurement time.

[0086] This embodiment fits the gas concentration time-history curve of the component through the gas concentration at multiple measurement moments, avoiding the real-time monitoring of the gas concentration during the simulation process and improving the measurement efficiency; and according to the gas concentration change rate, the measurement moment is determined by presetting or real-time updating, so that the measurement time interval presents a distribution state of first dense and then sparse, and more concentration data can be measured in the time period when the gas is rapidly dissipated, improving the measurement efficiency while ensuring the fitting accuracy of the simulation curve. In addition, this embodiment adopts the three-dimensional Fick's second diffusion law as the control equation, which can realize the simulation of the diffusion process of gas in all directions, and is suitable for harmful gas emission sources of all shapes, especially irregularly shaped emission sources, which greatly improves the simulation accuracy.

[0087] In addition, since the material body simulation model inside the component is removed in the aforementioned embodiment, when constructing the control equation, it is only necessary to construct the Henry's law control equation at the boundary of the second diffusion region, which greatly reduces the number of control equations and further improves the simulation efficiency.

[0088] As described in the above embodiments, based on the harmful gas emission law of each material, it is difficult to obtain the harmful gas emission law in the vehicle at one time, and to formulate a material plan that can meet the harmful gas emission control concentration index in the cabin. It is inevitable to conduct multiple rounds of harmful gas emission concentration experimental testing and rectification of interior materials, interior parts and components and the entire vehicle, which makes the experimental cost of in-vehicle air quality design and control high and the rectification cycle long.

[0089] In view of this, an embodiment of the present invention further provides a method for early warning of in-vehicle air quality rectification, which is applicable to the situation of testing and early warning of in-vehicle air quality, and is executed by an electronic device. Figure 2 As shown, the method specifically comprises the following steps:

[0090] S210, taking each component in the vehicle as a target component, and performing the following operations:

[0091] S-1: Based on the simulation model of the target component and the emission parameters of each interior material, the harmful gas emission process of the target component in a preset limited space is simulated based on the principle of computational fluid dynamics to obtain the gas concentration time history curve of the target component.

[0092] S-2: Extracting the concentration of harmful gas at the benchmark time of the target component from the gas concentration time history curve of the target component.

[0093] The concentration of harmful gases at the benchmark time (hereinafter referred to as "the concentration at the benchmark time") refers to the gas concentration in a limited space at the preset benchmark time. The concentration at the benchmark time is used to benchmark against the harmful gas control concentration index to determine whether the air quality of the parts meets the standard. For example, if the benchmark time is selected as 2 hours, the gas concentration at the emission time = 2 hours is extracted as the concentration at the benchmark time.

[0094] S-3: If the concentration at the benchmarking moment is greater than or equal to the preset harmful gas control concentration index of the target component, issue an air quality rectification warning for the target component and enter a suspension state; the method is used to prompt the user to rectify the target component; in response to the user inputting a simulation model of the rectified target component, update the simulation model of the target component and return to the operation of S-1 until the concentration of the target component at the benchmarking moment is less than the control concentration index.

[0095] In this embodiment, the concentration at the benchmark time obtained by simulation is compared with the harmful gas control concentration index of the component (referred to as "control concentration index"). If the concentration at the benchmark time is less than the control concentration index, the component meets the air quality requirements and enters S-4. If the concentration at the benchmark time is greater than or equal to the control concentration index, the component does not meet the air quality requirements, and an air quality rectification warning for the component is issued to prompt the user to rectify the component; at the same time, the suspension state is entered.

[0096] It should be noted that, in each embodiment, the gas emission simulation process of each component can be performed sequentially or simultaneously. If it is performed sequentially, the suspension state represents the suspension of the entire method; if it is performed in parallel, the suspension state only represents the suspension of the simulation process of the target component, and S-4 is not performed, but the simulation process of other components is not affected.

[0097] After the rectification prompt, the user makes air quality rectification for the component, such as selecting interior material n with a large emission for replacement or improving the production process; and inputs the simulation model of the rectified component into the electronic device. It should be noted that the description of the user's rectification and inputting the model here is for a better understanding of the method provided in this embodiment, and does not belong to the steps of the method.

[0098] In response to the user inputting the rectified target component simulation model, the target component simulation model is updated, and the target component is re-simulated until the concentration of the target component at the benchmarking moment is less than the control concentration index.

[0099] S-4. According to the gas concentration time-history curve of the target component, the equivalent emission parameter of the target component is fitted, and the equivalent emission parameter characterizes the harmful gas emission property of the target component as a whole.

[0100] S220. According to the whole vehicle simulation model and the equivalent emission parameters of each component, based on the principle of computational fluid dynamics, a harmful gas emission process in the whole vehicle space is simulated to obtain a whole vehicle gas concentration time history curve.

[0101] Among them, the simulation model is a three-dimensional finite element numerical simulation model, the whole vehicle simulation model includes at least one component simulation model, and each component simulation model includes at least one interior material body simulation model; the gas concentration time history curve reflects the change process of harmful gas concentration over time in a natural non-convection space.

[0102] Generally, when the concentration of a component at the benchmarking time does not meet the component control index, the concentration of the whole vehicle at the benchmarking time also does not meet the control index of the whole vehicle. Therefore, after obtaining the gas concentration time history curve of each component, this embodiment promptly determines whether the concentration of the component at the benchmarking time meets the control index of the component, and performs whole vehicle simulation after the rectification of the component is completed, thereby avoiding wasting too much time on meaningless whole vehicle simulation.

[0103] Optionally, after simulating the emission process of harmful gases in the whole vehicle space based on the principle of computational fluid dynamics and obtaining the whole vehicle gas concentration time course curve, the following steps are also included:

[0104] S230: extracting the concentration of harmful gases of the whole vehicle at a benchmark time from the whole vehicle gas concentration time history curve.

[0105] S240: If the concentration at the benchmark time is greater than or equal to the harmful gas control concentration index of the whole vehicle, issue a warning for rectification of the air quality of the whole vehicle.

[0106] Similar to S-2, after obtaining the vehicle gas concentration time course curve, determine whether the vehicle's concentration at the benchmark time meets the vehicle's control index. If the concentration at the benchmark time is less than the control concentration index, the vehicle meets the air quality requirements and this method ends. If the concentration at the benchmark time is greater than or equal to the control concentration index, the vehicle does not meet the air quality requirements and a vehicle air quality rectification warning is issued.

[0107] There are two ways to deal with this:

[0108] Method 1: From the perspective of parts modification, it is necessary to modify the parts with the highest cost-effectiveness. The specific operations include the following:

[0109] S1-1. Select the component with the highest cost-effectiveness for rectification as the target component, and issue a rectification suggestion warning to prompt the user to rectify the target component.

[0110] The cost performance ratio of rectification is the ratio of the change in gas concentration of the whole vehicle before and after rectification to the rectification cost. Optionally, selecting the component with the highest cost performance ratio of rectification as the target component includes the following steps:

[0111] S1-11, selecting a plurality of emission source components serving as gas emission sources according to the gas concentration variation process inside each component during the simulation process;

[0112] S1-12. Perform the following operations on each emission source component one by one: modify any equivalent emission parameter of the emission source component, use the modified emission source component to re-simulate the whole vehicle, and obtain the modified gas concentration of the whole vehicle at the benchmarking time; calculate the cost performance of the rectification of the emission source component according to the following formula:

[0113]

[0114] Among them, P represents the cost performance of rectification, MT represents the rectification cost of the emission source parts, and C1 and C2 represent the gas concentration of the vehicle at the benchmark time before and after the modification. It can be seen that when C2 = 0μg / m 3 When C2=C1, P is 0, and the governance is ineffective; when C2>C1, P is a negative value, and the governance has the opposite effect. Therefore, the value range of the rectification cost-effectiveness P is a real number not greater than 1 / MT. The larger the value, the better the rectification plan.

[0115] The corrective measures are similar to those described in step S-3 and will not be described again. Different corrective measures correspond to different corrective costs MT, including time cost, economic cost, etc. The value of MT can be obtained in advance through experiments.

[0116] Optionally, any of the equivalent emission parameters includes: equivalent initial emission concentration, equivalent distribution coefficient or equivalent diffusion coefficient.

[0117] S1-2. In response to the user inputting the rectified target component simulation model, the target component simulation model is updated, and at the same time, the control concentration index of the target component is reduced, and the operation of S-1 is returned until the concentration of the whole vehicle at the benchmarking moment is less than the control concentration index of the whole vehicle.

[0118] Method 2: From the perspective of simulation calculation, select the components that have the greatest impact on the simulation calculation to improve the simulation accuracy of the components. The specific operations include the following:

[0119] S2-1. Select a component that meets at least one of the following conditions as a target component: a component with a maximum equivalent initial radiatable concentration, a maximum equivalent diffusion coefficient, and a component with a minimum equivalent distribution coefficient.

[0120] When all components meet the control requirements, the whole vehicle should also meet the control requirements of the whole vehicle in theory. If the whole vehicle does not meet the requirements, it may be that there is a large error in the simulation calculation from the components to the whole vehicle. and Start by locating the target components that are most likely to cause calculation errors. From the control equation, we can see that the diffusion coefficient D i The largest component has the fastest gas emission rate; the equivalent diffusible initial concentration C i The largest component is the source that contributes the most to gas emission; the component with the smallest equivalent distribution coefficient has the greatest gas adsorption capacity and is also the source that contributes the least to gas adsorption; these components are most likely to affect the accuracy of simulation calculations.

[0121] S2-2, reducing the grid size of the simulation model of the target component; returning to the operation of S-1 until the concentration of the whole vehicle at the benchmarking moment is less than the control concentration index of the whole vehicle or exceeds the preset number of returns.

[0122] This embodiment improves the simulation accuracy by adjusting the size of the finite element grid. The smaller the grid size, the greater the simulation accuracy. However, by improving the simulation accuracy, it may still be impossible to make the concentration of the whole vehicle meet the standard at the benchmarking time. Therefore, when the preset number of returns is exceeded, the cyclic simulation is stopped.

[0123] It should be noted that method one and method two can be used separately or in combination. For example, first improve the simulation calculation accuracy through method two. If it still cannot meet the control requirements after exceeding the preset number of returns, use method one to give a rectification prompt, and re-test the air quality after the rectification. For another example, when a component does not meet the control requirements, a similar rectification idea is used to rectify the material: first, verify whether it is a calculation error by improving the simulation accuracy. If it still cannot meet the requirements, it is not a calculation error and a rectification prompt is required. After the rectification, re-simulate the component to test the air quality.

[0124] This embodiment provides a method for rectifying the air quality in a vehicle based on the in-vehicle gas concentration time-history curve simulation method provided in the above embodiment. After the simulation of each component is completed, the air quality of the component is verified, and corrective measures are taken in a timely manner when it does not meet the requirements, so as to avoid rectifying the whole vehicle after the simulation of the whole vehicle is completed, and it is impossible to accurately determine the target component that causes the unqualified air quality, making the rectification of the whole vehicle less targeted. In addition, this embodiment selects the components with the highest cost-effectiveness for rectification, which improves the accuracy of the positioning of the target components, saves the overall governance cost, and further improves the governance efficiency.

[0125] It should be noted that the in-vehicle air quality rectification warning method provided in this embodiment can be implemented based on the in-vehicle gas concentration time course curve simulation method provided in any of the above embodiments. Any limitation on the simulation method in the above embodiments is applicable to this embodiment.

[0126] Figure 5 1 is a flow chart of a method for determining a material solution for a vehicle provided by an embodiment of the present invention, and the material solution for a vehicle is determined by using the method for improving the air quality in the vehicle provided by the above embodiment. Figure 5 As shown, the method comprises the following steps:

[0127] S1. Place interior materials 1, 2, ..., i in a limited space with controllable temperature and humidity, measure the gas concentration in the limited space at regular intervals, and obtain a material gas concentration time course curve.

[0128] S2. By measuring with a ruler, a tape measure, a vernier caliper or calculating with a digital model, the dimensional data such as the thickness and area of ​​the interior material body 1, 2, ..., i, as well as the dimensional data such as the length, width, and height of the limited space where the interior material body is located are obtained.

[0129] S3. Use the key emission parameter fitting algorithm of the material to calculate the key emission parameters of the harmful gas in each interior material i, including the initial emitting concentration, diffusion coefficient D i and the distribution coefficient K i . The diffusion coefficient D of harmful gases in the air was obtained by consulting the literature. a .

[0130] S4. By measuring with a ruler, tape measure, vernier caliper or calculating with a digital model, the thickness, area, contact stacking and covering ratio and other dimension data of the interior material bodies 1, 2, ..., i used on the parts 1, 2, ..., j are obtained, and the length, width and height and other dimension data of the limited space where each part is located are obtained. The geometric models of the parts and the corresponding limited space are drawn in the three-dimensional drawing software according to these dimension data.

[0131] S5. Perform finite element meshing on the geometric simulation model. Fine meshes, such as mesh size 0.01 mm, are divided at the contact boundaries between interior material bodies and at the contact boundaries between interior material bodies and the emission space; coarse meshes, such as mesh size 50 mm, are divided inside each interior material body and inside the gaseous space.

[0132] S6. Assign the harmful gas emission parameters of each interior material i to all grid nodes of the corresponding interior material i in the geometric model, and assign the diffusion coefficient D of the harmful gas in the air to a Assign values ​​to all mesh nodes in the gaseous space in the geometric model. Using Fick's second diffusion law and Henry's law as constraints, simulate the emission of harmful gases from materials to parts.

[0133] S7, respectively calculate the harmful gas concentration C in the material body of adjacent grid nodes at adjacent measurement moments i And the concentration of harmful gases in the gaseous space C a Perform linear interpolation to obtain the component gas concentration time history curve in a limited space.

[0134] S8. Compare the simulated gas concentration values ​​of each component with the corresponding control concentration index. If the index requirements are not met, replace the interior material n with a larger emission or improve the production process, and return to S1 to test the interior material n separately until it meets the index requirements, and then perform the following steps.

[0135] S9. Use the key emission parameter fitting algorithm again to calculate the equivalent key emission parameters of harmful gases in each component j, including the initial emitting concentration, diffusion coefficient D j and the distribution coefficient K j .

[0136] S10. By measuring with a ruler, tape measure, vernier caliper or calculating with a digital model, obtain the length, width, height, contact stacking and covering ratio and other dimension data of the components 1, 2, ..., j, obtain the length, width, height and other dimension data of the whole vehicle space, and the layout coordinate data of each component j in the whole vehicle. Draw the geometric model of each component and the whole vehicle space according to these dimension or coordinate data in a three-dimensional drawing software, such as Figure 2shown.

[0137] S11. Referring to S6 and S7, the interior materials 1, 2, ..., i are replaced with parts 1, 2, ..., j, and the gas emission process from parts to the whole vehicle stage is simulated to obtain the gas concentration time history curve of the whole vehicle.

[0138] S12. Compare the simulated gas concentration value of the whole vehicle with the control concentration index of the whole vehicle. If it does not meet the index requirements, the control concentration index of the parts with high cost-effectiveness will be tightened, and return to S8 to rectify the parts. Until the simulated gas concentration value of the whole vehicle meets the control concentration index requirements of the whole vehicle, the interior material plan is finally determined and put into the subsequent vehicle trial production or mass production stage.

[0139] Figure 6 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention is shown in FIG. Figure 6 As shown, the device includes a processor 60, a memory 61, an input device 62 and an output device 63; the number of processors 60 in the device can be one or more. Figure 6 A processor 60 is taken as an example; the processor 60, the memory 61, the input device 62 and the output device 63 in the device can be connected by a bus or other means. Figure 6 The example of connecting through bus is taken in the following.

[0140] The memory 61 is a computer-readable storage medium that can be used to store software programs, computer executable programs and modules, such as program instructions / modules corresponding to the in-vehicle gas concentration time history curve simulation method or in-vehicle air quality rectification and early warning method in the embodiment of the present invention. The processor 60 executes various functional applications and data processing of the device by running the software programs, instructions and modules stored in the memory 61, that is, realizing the in-vehicle gas concentration time history curve simulation method or in-vehicle air quality rectification and early warning method.

[0141] The memory 61 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system and at least one application required for a function; the data storage area may store data created according to the use of the terminal, etc. In addition, the memory 61 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some instances, the memory 61 may further include a memory remotely arranged relative to the processor 60, and these remote memories may be connected to the device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0142] The input device 62 may be used to receive input digital or character information and generate key signal input related to user settings and function control of the device. The output device 63 may include a display device such as a display screen.

[0143] An embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, the method for simulating a time-history curve of in-vehicle gas concentration or the method for rectifying and warning in-vehicle air quality of any embodiment is implemented.

[0144] The computer storage medium of the embodiment of the present invention can adopt any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium can be any tangible medium containing or storing a program, which can be used by an instruction execution system, a device or a device or used in combination with it.

[0145] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0146] The program code embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0147] Computer program code for performing the operations of the present invention may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0148] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the technical solutions of the embodiments of the present invention.

Claims

1. A method for simulating a time-course curve of gas concentration in a vehicle, characterized in that: include: According to the simulation models of various components in the vehicle and the emission parameters of various interior materials, the emission process of harmful gases of various components in a preset limited space is simulated based on the principle of computational fluid dynamics to obtain the gas concentration time history curve of each component; According to the gas concentration time history curve of each component, the equivalent emission parameters of each component are fitted, and the equivalent emission parameters characterize the harmful gas emission properties of each component as a whole; According to the vehicle simulation model and the equivalent emission parameters of each component, the emission process of harmful gases in the vehicle space is simulated based on the principle of computational fluid dynamics to obtain the vehicle gas concentration time history curve; The simulation model is a three-dimensional finite element numerical simulation model, the whole vehicle simulation model includes at least one component simulation model, and each component simulation model includes at least one interior material body simulation model; the gas concentration time history curve reflects the change process of harmful gas concentration over time in a natural non-convection space; According to the simulation models of various components in the car and the emission parameters of various interior materials, the harmful gas emission process of each component in a preset limited space is simulated based on the principle of computational fluid dynamics, including: In any component simulation model, each interior material body simulation model is divided into multiple finite element grids, wherein the boundary grid size is smaller than the internal grid size; According to the vehicle simulation model and the equivalent emission parameters of each component, the emission process of harmful gases in the vehicle space is simulated based on the principle of computational fluid dynamics to obtain the vehicle gas concentration time course curve, including: Remove the simulation models of each interior material body in the simulation models of each component, and only keep the boundaries of the simulation models of each component; According to the positions of the components in the vehicle, the simulation models of the components with the boundaries preserved are arranged in the original vehicle model to obtain the final simulation model of the vehicle; wherein the original vehicle model only includes the boundaries of the vehicle space; Re-dividing the simulation models of each component with retained boundaries into multiple finite element meshes, wherein the boundary mesh size is smaller than the internal mesh size; The boundary mesh is the finite element mesh at the boundary of the simulation model, and the internal mesh is the finite element mesh inside the simulation model.

2. The method according to claim 1, characterized in that: The emission parameters include: initial emission concentration, diffusion coefficient and distribution coefficient of harmful gas; According to the simulation models of various components in the vehicle and the emission parameters of various interior materials, the emission process of harmful gases from various components in a preset limited space is simulated based on the principle of computational fluid dynamics to obtain the gas concentration time history curve of each component, including: In any component simulation model, each first emanation region is divided into a plurality of finite element grids, wherein the boundary grid size is smaller than the internal grid size; Initialize the initial concentration of harmful gases at each grid node according to the initial radiatable concentration of harmful gases of each interior material; According to the initial concentration, the diffusion coefficient and the distribution coefficient, the harmful gas emission process of the component simulation model in the limited space is simulated to obtain a corresponding component gas concentration time history curve; In which, the simulation process uses Fick's second diffusion law as the control equation at all grid nodes, and Henry's law as another control equation at the boundary grid nodes of each first emission area; the first emission area is: any material body simulation model or gaseous space within the finite space; the boundary grid is: the finite element grid at the boundary of the first emission area, and the internal grid is the finite element grid inside the first emission area.

3. The method according to claim 2, characterized in that The simulation process uses three-dimensional Fick's second diffusion law as the governing equation at all grid nodes.

4. The method according to claim 2, characterized in that: According to the initial concentration, the diffusion coefficient and the distribution coefficient, a harmful gas emission process of the component simulation model in the limited space is simulated, including: Substituting the diffusion coefficient and the distribution coefficient into Fick's second diffusion law and Henry's law to obtain a control equation for a simulation process; According to the initial concentration and the control equation, the emission process of the harmful gas in a continuous period is simulated; at the same time, the concentration of the harmful gas in the limited space is measured at multiple measurement moments, wherein each measurement moment is determined according to the change rate of the concentration of the harmful gas in the limited space; According to the concentration of harmful gases at each measurement moment, the corresponding component gas concentration time history curve is fitted.

5. A vehicle air quality rectification and early warning method, characterized in that: Applying the in-vehicle gas concentration time-history curve simulation method described in claim 1, the in-vehicle air quality rectification and early warning method comprises: Take each component in the car as the target component and perform the following operations: S-1: Based on the simulation model of the target component and the emission parameters of each interior material, the emission process of harmful gases of the target component in a preset limited space is simulated based on the principle of computational fluid dynamics to obtain the gas concentration time history curve of the target component; S-2: extracting the concentration of harmful gas at the target component at the benchmark time from the gas concentration time history curve of the target component; S-3: If the concentration at the benchmarking time is greater than or equal to the preset harmful gas control concentration index of the target component, an air quality rectification warning for the target component is issued, and the suspension state is entered; the target component air quality rectification warning is used to prompt the user to rectify the target component; in response to the user inputting the simulation model of the rectified target component, the simulation model of the target component is updated, and the operation of S-1 is returned until the concentration of the target component at the benchmarking time is less than the control concentration index; S-4: fitting the equivalent emission parameters of the target component according to the gas concentration time history curve of the target component, wherein the equivalent emission parameters characterize the harmful gas emission properties of the target component as a whole; After obtaining the equivalent emission parameters of all components, the emission process of harmful gases in the whole vehicle space is simulated based on the computational fluid dynamics principle according to the whole vehicle simulation model and the equivalent emission parameters, and the whole vehicle gas concentration time history curve is obtained; Among them, the simulation model is a three-dimensional finite element numerical simulation model, the whole vehicle simulation model includes at least one component simulation model, and each component simulation model includes at least one interior material body simulation model; the gas concentration time history curve reflects the change process of harmful gas concentration over time in a natural non-convection space.

6. The method according to claim 5, characterized in that Based on the principle of computational fluid dynamics, the harmful gas emission process in the vehicle space is simulated, and the gas concentration time course curve of the vehicle is obtained, which also includes: Extracting the concentration of harmful gases at the benchmark time of the whole vehicle from the whole vehicle gas concentration time history curve; If the concentration at the benchmarking time is greater than or equal to the harmful gas control concentration index of the whole vehicle, issue a warning for rectification of the air quality of the whole vehicle; select the component with the highest cost-effectiveness for rectification as the target component, and issue a rectification suggestion warning to prompt the user to rectify the target component; and, in response to the user inputting a simulation model of the rectified target component, update the simulation model of the target component, and reduce the control concentration index of the target component, and return to the operation of S-1 until the concentration of the whole vehicle at the benchmarking time is less than the control concentration index of the whole vehicle; Among them, the cost-effectiveness of rectification is the ratio of the change in gas concentration of the whole vehicle before and after the rectification to the rectification cost.

7. The method according to claim 6, characterized in that Before selecting the component with the highest cost-effectiveness for rectification as the target component, the method further includes: selecting a component that satisfies at least one of the following conditions as the target component: a maximum equivalent initial radiatable concentration, a maximum equivalent diffusion coefficient, and a minimum equivalent distribution coefficient; Reduce the grid size of the simulation model of the target component; return to the operation of S-1 until the concentration of the whole vehicle at the benchmarking moment is less than the control concentration index of the whole vehicle or exceeds the preset number of returns.

8. An electronic device, characterized in that: include: one or more processors; a memory for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors implement the in-vehicle gas concentration time-history curve simulation method as described in any one of claims 1-4, or the in-vehicle air quality rectification and early warning method as described in any one of claims 5-7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, it implements the in-vehicle gas concentration time-history curve simulation method as described in any one of claims 1-4, or the in-vehicle air quality rectification and early warning method as described in any one of claims 5-7.

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