CN114398845A - In-vehicle gas concentration time-course curve simulation and air quality rectification early warning method - Google Patents
In-vehicle gas concentration time-course curve simulation and air quality rectification early warning method Download PDFInfo
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Abstract
The embodiment of the invention discloses a method for simulating a time course curve of gas concentration in a vehicle and early warning air quality improvement. The simulation method comprises the following steps: according to the simulation model of each part in the vehicle and the emission parameters of each interior trim material, simulating the emission process of each part in a preset limited space based on the computational fluid dynamics principle to obtain a gas concentration time-course curve of each part; fitting equivalent emission parameters of each part according to the gas concentration time-course curve of each part, wherein the equivalent emission parameters represent the overall harmful gas emission attribute of each part; and (3) according to the whole vehicle simulation model and the equivalent emission parameters of all parts, carrying out simulation on the emission process of the harmful gas in the whole vehicle space based on the computational fluid dynamics principle to obtain a whole vehicle gas concentration time-course curve. The embodiment realizes the simulation of the harmful gas emission process in the convection-free space.
Description
Technical Field
The embodiment of the invention relates to the technical field of harmful gas analysis, in particular to a time-course curve simulation and air quality rectification early warning method for gas concentration in a vehicle.
Background
The parts in the car, such as seats, instrument panels, carpets, ceilings, sealing strips, and the like, are generally made of petrochemical interior materials, such as plastics, leather, adhesives, and the like, contain a certain amount of volatile harmful gas components, such as benzene, toluene, ethylbenzene, xylene, styrene, formaldehyde, acetaldehyde, acrolein, and the like, and are continuously emitted during the car usage of consumers, so that the health of drivers and passengers is affected.
In the prior art, generally from the material perspective, harmful gas components and emission rules of interior materials are analyzed to develop the analysis of harmful gas and the air quality control in a vehicle. However, since the usage amount, the air exposure area, the stacking and covering state, the spatial arrangement, and the like of different interior materials such as plastics, leather, adhesives, and the like in the vehicle are different from each other, the emission rule of harmful gas of each material alone is significantly different from the emission rule of harmful gas of the material in the coexistence state of multiple materials in the vehicle, and it is difficult to obtain the emission rule of harmful gas in the vehicle based on the emission parameter of harmful gas of each material alone.
Disclosure of Invention
The embodiment of the invention provides a time-course curve simulation and air quality rectification early warning method for gas concentration in a vehicle, which is based on a computational fluid dynamics theory and a three-dimensional finite element numerical simulation method and realizes simulation of a harmful gas emission process in a convection-free space.
In a first aspect, an embodiment of the present invention provides a method for simulating a time-course curve of an in-vehicle gas concentration, including:
according to the simulation model of each part in the vehicle and the emission parameters of each interior trim material, simulating the emission process of each part in a preset limited space based on the computational fluid dynamics principle to obtain a gas concentration time-course curve of each part;
fitting equivalent emission parameters of each part according to the gas concentration time-course curve of each part, wherein the equivalent emission parameters represent the overall harmful gas emission attribute of each part;
according to the whole vehicle simulation model and the equivalent emission parameters of each part, simulating the harmful gas emission process in the whole vehicle space based on the computational fluid dynamics principle to obtain a whole vehicle gas concentration time-course curve;
the simulation model is a three-dimensional finite element numerical simulation model, the finished automobile simulation model comprises at least one part simulation model, and each part simulation model comprises at least one interior decoration material body simulation model; the gas concentration time course curve reflects the time variation process of the concentration of the harmful gas in the natural non-convection space.
In a second aspect, an embodiment of the present invention provides an in-vehicle air quality correction early warning method, including:
respectively taking each part in the vehicle as a target part, and performing the following operations:
s-1: according to a target part simulation model and emission parameters of each interior trim material, simulating a harmful gas emission process of the target part in a preset limited space based on a computational fluid dynamics principle to obtain a target part gas concentration time-course curve;
s-2: extracting the harmful gas standard alignment time concentration of the target part from the target part gas concentration time course curve;
s-3: if the calibration time concentration is greater than or equal to the preset harmful gas control concentration index of the target part, sending an early warning of air quality correction of the target part, and entering a suspension state; the target part air quality rectification early warning is used for prompting a user to rectify the target part; responding to the target part simulation model after the user inputs the rectification, updating the target part simulation model, and returning to the operation of S-1 until the time alignment concentration of the target part is smaller than the control concentration index;
s-4: fitting an equivalent emission parameter of the target part according to the target part gas concentration time-course curve, wherein the equivalent emission parameter represents the overall harmful gas emission attribute of the target part;
after obtaining the equivalent emission parameters of all parts, simulating the harmful gas emission process in the whole vehicle space based on the computational fluid dynamics principle according to the whole vehicle simulation model and the equivalent emission parameters to obtain a whole vehicle gas concentration time-course curve;
the simulation model is a three-dimensional finite element numerical simulation model, the finished automobile simulation model comprises at least one part simulation model, and each part simulation model comprises at least one interior decoration material body simulation model; the gas concentration time course curve reflects the time variation process of the concentration of the harmful gas in the natural non-convection space.
In a third aspect, an embodiment of the present invention further provides an electronic device, where the electronic device includes:
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 course curve simulation method or the in-vehicle air quality correction early warning method according to any embodiment.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the in-vehicle gas concentration time-course curve simulation method or the in-vehicle air quality adjustment early warning method according to any embodiment.
The embodiment of the invention is based on a computational fluid dynamics theory and a three-dimensional finite element numerical simulation method, realizes the simulation of the harmful gas emission process in the convection-free space, and divides the gas diffusion simulation in the whole vehicle into two stages of simulation from materials to parts and simulation from parts to the whole vehicle. In the simulation stage from the part to the whole vehicle, the emission parameters at all grid nodes in the part simulation model are uniformly set as the equivalent emission parameters of the part, the complex material diffusion parameters in the part simulation model are ignored, the simulation calculation efficiency can be improved while the simulation precision is ensured, the multiplexing of the simulation flow in two simulation stages is realized, and the setting and operation methods of the whole simulation method are simplified.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a method for predicting a concentration of a harmful gas in a vehicle according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a vehicle simulation model provided by an embodiment of the invention;
fig. 3 is a comparison diagram of simulated values and measured values of the concentration of harmful gases in the vehicle space according to the embodiment of the invention;
FIG. 4 is a flowchart of an in-vehicle air quality modification early warning method according to an embodiment of the present invention;
FIG. 5 is a flowchart of a method for determining a vehicle interior material scheme according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should also be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Fig. 1 is a flowchart of a method for simulating a time-course curve of an in-vehicle gas concentration according to an embodiment of the present invention. The method is suitable for researching the condition of the concentration diffusion rule of the gas in the vehicle in a simulation mode and is executed by the electronic equipment. As shown in fig. 1, the method specifically includes:
s110, according to the simulation model of each part in the automobile and the emission parameters of each interior trim material, simulating the emission process of harmful gas of each part in a preset limited space based on the computational fluid dynamics principle to obtain a gas concentration time-course curve of each part.
The interior parts consist of a plurality of interior material bodies, so that each part simulation model comprises a plurality of interior material body simulation models. The gas concentration time course curve takes the gas concentration as the ordinate and the time as the abscissa, and reflects the time-dependent change process of the concentration of the harmful gas in the natural non-convection space. Specifically, the component gas concentration time course curve reflects the time-dependent change process of the average concentration of harmful gas in a limited space when a component is placed in the preset limited space alone. Each part corresponds to a part gas concentration time-course curve.
The embodiment is used for simulating the harmful gas emission process of the internal parts of the vehicle in a preset limited space based on the computational fluid dynamics principle. The simulation models are three-dimensional finite element numerical simulation models, and the simulation is three-dimensional finite element numerical simulation and is realized based on three-dimensional finite element numerical simulation software.
In one embodiment, the emission parameters include: the simulation process of the parts specifically comprises the following operation steps of:
step one, in any part simulation model, dividing each first diffusion area into a plurality of finite element grids, wherein the size of the boundary grid is smaller than that of the internal grid. The first emission area is: any material body simulation model or gaseous space within the confined space. The gaseous space refers to a space in which only gas (including air and harmful gas) exists.
The simulation object of the parts in the embodiment is the emission process of harmful gas in a preset limited space. Specifically, first, the part simulation model is loaded in simulation software, and a boundary of a limited space is set around the model. Then, the simulation software simulates the emission process of the harmful gas emitted by the part in the limited space. Correspondingly, the first emission area refers to the simulation model of each material body included in the part simulation model; or a gaseous space in which only gas exists, within the confined space, outside the simulation model of each material body.
The boundary mesh is a finite element mesh at the boundary of the first emission region, and the internal mesh is a finite element mesh inside the first emission region. The present embodiment classifies the finite element mesh according to mesh location because finite element meshes in different locations have different gas emission states. For example, a boundary grid is located at the boundary where the interior materials contact each other or the boundary where the interior materials contact the gaseous space, and two sides have different gas emission media (the interior materials or air), so that the gas emission is rapid, and therefore, a finer grid (such as a grid size of 0.01 mm) is divided; the internal grids are positioned in the interior of each interior decoration material body or in the gaseous space, the surrounding gas diffusion media are the same, and the gas diffusion is slow, so that thicker grids (such as the grid size of 50 mm) are divided.
And secondly, initializing the initial concentration of the harmful gas at each grid node according to the initial diffusible concentration of the harmful gas of each interior material.
The initial emitting concentration of the harmful gas (hereinafter referred to as "initial emitting concentration") represents the concentration of the volatile harmful gas emitted by the interior material, and is the intrinsic property of the interior material at the initial time. When the environmental conditions such as temperature, humidity, pressure and the like are fixed, the initial diffusible concentration of the interior material is fixed and is irrelevant to the size of the space. Different interior materials correspond to different initial emitting concentrations, and the initial emitting concentration of harmful gas in the air is defaulted to be 0.
In this embodiment, at a grid node of the material body simulation model, an initial concentration of a harmful gas (hereinafter referred to as "initial concentration") is set to an initial diffusible concentration corresponding to the interior material; at the grid nodes of the gaseous space, the initial concentration is set to 0.
And thirdly, simulating the harmful gas emission process of the part simulation model in the limited space according to the initial concentration, the diffusion coefficient and the distribution coefficient to obtain a corresponding part gas concentration time-course curve.
Specifically, two constraints need to be provided in the simulation process: (1) initial simulation state, and (2) control equation. The simulation software automatically simulates the emission process of the harmful gas in the limited space according to the two constraint conditions.
For the constraint condition (1), the present embodiment takes the initial concentration as an initial simulation state. With respect to constraint 2(2), the present embodiment uses fick's second diffusion law as a control equation at all grid nodes, and uses henry's law as another control equation at each first emission region boundary grid node. This is because, according to the theory of computational fluid dynamics, gas diffusion at any location follows the fick's second law of diffusion; the concentration of the gas in different media still follows henry's law.
Further, the fick's second diffusion law and the henry's law include diffusion coefficients and distribution coefficients of the medium, and the diffusion coefficients and the distribution coefficients of the respective interior materials are substituted into the fick's second diffusion law and the henry's law, so that the control equation can be obtained.
After the two constraint conditions are constructed, the simulation software automatically calculates the gas concentration at each grid node at each diffusion moment according to the constraint conditions. And fitting a part gas concentration time-course curve corresponding to the part according to the obtained gas concentrations.
And S120, fitting equivalent emission parameters of the parts according to the gas concentration time-course curve of the parts, wherein the equivalent emission parameters represent the overall harmful gas emission attributes of the parts.
In the prior art, emission parameters of the material are defined, and "emission parameters of the component" are not defined, so that the emission parameters of the component are referred to as "equivalent emission parameters" in the present embodiment, and are used for characterizing harmful gas emission properties of the whole component. Alternatively, when the emission parameters of the interior material include the initial harmful gas emission concentration, the diffusion coefficient and the distribution coefficient, the equivalent emission parameters of the component part accordingly include: the equivalent initial emanable concentration of the harmful gas, the equivalent diffusion coefficient and the equivalent distribution coefficient.
The key emission parameter fitting algorithm provided by the prior art can fit emission parameters of a material according to a gas concentration time-course curve (referred to as a "material gas concentration time-course curve" for short) of the material. The algorithms are expanded into the parts, and the equivalent emission parameters of the parts can be fitted according to the gas concentration time-course curve of the parts.
S130, according to the whole vehicle simulation model and the equivalent emission parameters of all parts, simulating the harmful gas emission process in the whole vehicle space based on the computational fluid dynamics principle to obtain a whole vehicle gas concentration time-course curve.
The simulation model is also a three-dimensional finite element numerical simulation model. The whole vehicle simulation model comprises the simulation models of the parts. Fig. 2 is a schematic diagram of a complete vehicle simulation model provided in the embodiment of the present invention, which depicts geometric models for 12 kinds of in-vehicle components and limited spaces.
The simulation process of the whole vehicle is similar to that of parts, and the simulation process specifically comprises the following steps:
step one, in a finished automobile simulation model, a gas space is divided into a plurality of finite element grids, wherein the size of a boundary grid is smaller than that of an internal grid.
Since meshing has already been performed in each part simulation model, the gaseous space is separately meshed here. Each part simulation model may adopt a mesh that has already been divided, or may perform mesh division again, which is not limited in this embodiment.
And secondly, initializing the initial concentration of the harmful gas at each grid node according to the equivalent initial diffusible concentration of the harmful gas of each part.
In this embodiment, the equivalent initial emission concentration of the harmful gas (hereinafter referred to as "equivalent initial emission concentration") represents the concentration of the volatile harmful gas that can be emitted from the component, and is regarded as the intrinsic property of the component. When the environmental conditions such as temperature, humidity, pressure and the like are fixed, the equivalent initial emitting concentration of the parts is fixed and is irrelevant to the size of the space.
And thirdly, simulating 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.
The simulation process takes Fick's second diffusion law as a control equation at all grid nodes, and takes Henry's law as another control equation at each second emission region boundary grid node. A second emission region: any material part simulation model or gaseous state space in the whole vehicle space.
Fig. 3 is a comparison graph of simulated values and measured values of the concentration of harmful gases in the vehicle space according to the embodiment of the present invention. The harmful gas in the graph is toluene, and it can be seen that the difference and the change rule between the simulated value and the measured value of the toluene concentration both realize higher simulation precision, thereby accurately reflecting the change process of the gas concentration in the whole vehicle space along with the time.
The simulation method realizes the simulation of the harmful gas emission 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 of simulation from materials to parts and simulation from parts to the whole vehicle. In the simulation stage from the part to the whole vehicle, the emission parameters at all grid nodes in the part simulation model are uniformly set as the equivalent emission parameters of the part, the complex material diffusion parameters in the part simulation model are ignored, the simulation calculation efficiency can be improved while the simulation precision is ensured, the multiplexing of the simulation flow in two simulation stages is realized, and the setting and operation methods of the whole simulation method are simplified. In addition, the finally obtained whole vehicle gas concentration time course curve can be used for predicting the harmful gas concentration in the whole vehicle at any moment, is suitable for all vehicles of the same vehicle type, and has abundant extensible functions and application scenes.
On the basis of the above embodiment and the following embodiments, the present embodiment refines the simulation process of the part to the whole vehicle stage. Optionally, according to the vehicle simulation model and the equivalent emission parameters of each component, performing harmful gas emission process simulation in the vehicle space based on the computational fluid dynamics principle to obtain a vehicle gas concentration time-course curve, specifically comprising the following steps:
first, each interior material body simulation model in each part simulation model is removed, and only the boundary of each part simulation model is retained.
Due to the introduction of the equivalent weight emission parameters, the parts can be regarded as a whole in the simulation stage from the parts to the whole vehicle, and complex material body simulation models in the part simulation models are ignored. Therefore, before the automatic simulation calculation of the whole vehicle, the material body simulation model in the part simulation model is removed, and only the boundary of each part simulation model is reserved, so that the structural data and the emission parameter data of the part simulation model are simpler.
And then, arranging the part simulation models with reserved boundaries in an original finished automobile model according to the positions of the parts in the finished automobile to obtain a final finished automobile simulation model.
The original full vehicle model only includes boundaries of the full vehicle space. And directly arranging the part simulation models only with the reserved boundaries in the original finished automobile simulation model to construct a final finished automobile simulation model.
And finally, subdividing each part simulation model with the reserved boundary into a plurality of finite element meshes, wherein the size of the boundary mesh is smaller than that of the internal mesh. The boundary mesh refers to a finite element mesh at the boundary of each part simulation model, and the internal mesh is a finite element mesh inside each part simulation model.
In the stage of simulating the material to the part, the finite element meshes in the part simulation model are 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 consider both the simulation precision and the simulation efficiency. In the embodiment, the part simulation model only keeping the boundary is subjected to meshing again, and after the meshing is performed again, the boundary mesh size of the same part simulation model is still smaller than the internal mesh size.
In the simulation stage from the part to the whole vehicle, the part simulation model with the reserved boundary is subjected to grid division again, the number of grids in the part simulation model after division is greatly reduced, the emission parameters of grid nodes can be uniformly set as the equivalent emission parameters of the part, the position data and the parameter data in the part simulation model and the whole vehicle simulation model are further simplified, and the simulation efficiency is further improved.
On the basis of the above-described embodiment and the following embodiments, the present embodiment refines a specific simulation flow. Optionally, according to the initial concentration, the diffusion coefficient and the distribution coefficient, performing a harmful gas emission process simulation of the part simulation model in the limited space, specifically including the following steps:
and step one, substituting the diffusion coefficient and the distribution coefficient into a Fick second diffusion law and a Henry law to obtain a control equation of the simulation process.
Optionally, a three-dimensional fick's second diffusion law is adopted as a control equation at all grid nodes, specifically, the diffusion coefficients of the materials are substituted into the three-dimensional fick's second diffusion law, so as to obtain the following control equation:
wherein (x, y, z) represents the spatial coordinates of the grid nodes, t represents the diffusion time, C (x, y, z, t) represents the gas concentration at the grid node (x, y, z) at time t, DiThe diffusion coefficient of the material i to which the mesh node (x, y, z) belongs is expressed (in the three-dimensional fick's second diffusion law, the diffusion coefficient means the isotropic diffusion coefficient).
For any two adjacent first divergence regions, substituting the distribution coefficients of the corresponding media into henry's law to obtain the following control equation:
wherein (x)1,y1,z1) And (x)2,y2,z2) Respectively representing the position coordinates, C (x), of grid nodes located in two adjacent first divergence regions1,y1,z1T) and C (x)2,y2,z2And t) respectively represent time t (x)1,y1,z1) And (x)2,y2,z2) Concentration of gas of (C), K1And K2Respectively representing the distribution coefficients of the two media. The two mediums can be two interior materials or one interior material and air. Wherein the diffusion coefficient and the distribution coefficient of air are obtained by consulting literature.
Simulating the emission process of the harmful gas in a continuous period of time according to the initial concentration and the control equation; and meanwhile, the concentration of the harmful gas in the limited space is measured and calculated at a plurality of measuring and calculating moments. And determining each measuring and calculating moment according to the change rate of the concentration of the harmful gas in the limited space.
The gas concentration at each grid node is constantly changed in the simulation process, and the numerical value change condition of the whole process is not required to be recorded completely. The embodiment selects a plurality of measuring and calculating moments, and measures and calculates the concentration of the harmful gas in the limited space at the moments. Optionally, at any reckoning moment, the average concentration of harmful gas at all grid nodes in the limited space is taken as the gas concentration at the moment.
Optionally, each of the evaluation moments is determined according to a rate of change of the concentration of the harmful gas in the limited space. The larger the change rate, the faster the diffusion rate, and the denser the interval of the measurement time. Typically, the time period consisting of the respective measured moments exhibits a law of being dense (e.g. duration 1 second) first and then sparse (e.g. duration 10 minutes) over the entire diffusion period (e.g. 48 hours).
Optionally, after the measurement and calculation at the current measurement and calculation time is completed, calculating a gas concentration change rate at the current measurement and calculation time, which is referred to as "current change rate" for short, according to the gas concentration at the current measurement and calculation time and the gas concentration at the previous measurement and calculation time; and determining the next measurement and calculation time according to the current change rate. In particular, the present invention relates to a method for producing,
where Δ C (t) represents the current rate of change, C (t) represents the gas concentration at the current measurement and calculation time, and C (t-1) represents the gas concentration at the previous measurement and calculation time.
Optionally, determining the next measurement time according to the current change rate includes: if the current change rate is larger than or equal to a preset change rate threshold (such as 1%), setting the time interval between the next measurement and calculation time and the current measurement and calculation time as a first time period (such as 1 second); otherwise, the time interval is set to a second time period (e.g., 10 minutes).
And step three, fitting a gas concentration time-course curve of the part according to the harmful gas concentration at each measuring and calculating moment.
In the embodiment, the gas concentration time-course curve of the part is fitted through the gas concentrations at a plurality of measuring and calculating moments, so that the real-time monitoring of the gas concentration in the simulation process is avoided, and the measuring and calculating efficiency is improved; and according to the gas concentration change rate, the measuring and calculating time is determined in a preset or real-time updating mode, so that the measuring and calculating time interval is in a dense-first and sparse-later distribution state, more concentration data can be measured and calculated in a time period when gas is rapidly emitted, the measuring and calculating efficiency is improved, and the fitting accuracy of the simulation curve is ensured. In addition, the three-dimensional Fick second diffusion law is used as a control equation, the simulation of the diffusion process of the gas in all directions can be realized, the method is suitable for harmful gas diffusion sources in all shapes, especially the diffusion source with an irregular shape, and the simulation precision is greatly improved.
In addition, because the material body simulation model in the part is removed in the embodiment, the control equation only needs to be constructed at the boundary of the second diffusion region when the control equation is constructed, the number of the control equations is greatly reduced, and the simulation efficiency is further improved.
As described in the above embodiments, based on the emission rule of each material alone, it is difficult to obtain the emission rule of the harmful gas in the vehicle at one time, and a material scheme meeting the emission control concentration index of the harmful gas in the vehicle cabin is made, so that it is inevitably necessary to perform multiple rounds of experimental detection and correction of the emission concentration of the harmful gas on the interior materials, interior parts and components, and the vehicle, and the experimental cost of the design and control of the air quality in the vehicle is high, and the correction period is long.
In view of this, the embodiment of the present invention further provides an in-vehicle air quality correction early warning method, which is applied to the situation of checking and early warning the in-vehicle air quality and is executed by an electronic device. As shown in fig. 2, the method specifically includes the following steps:
s210, respectively taking each part in the vehicle as a target part, and performing the following operations:
s-1: according to the target part simulation model and the emission parameters of each interior trim material, simulating the emission process of the target part in a preset limited space based on the computational fluid dynamics principle to obtain a target part gas concentration time-course curve.
S-2: and extracting the harmful gas standard alignment time concentration of the target part from the target part gas concentration time-course curve.
The alignment time concentration of the harmful gas (hereinafter referred to as "alignment time concentration") refers to the concentration of the gas in a limited space in which the alignment time is preset. And the alignment time concentration is used for aligning with the harmful gas control concentration index so as to judge whether the air quality of the part reaches the standard. For example, when the target time is selected to be 2 hours, the gas concentration at the emission time of 2 hours is extracted as the target time concentration.
S-3: if the calibration time concentration is greater than or equal to the preset harmful gas control concentration index of the target part, sending an early warning of air quality correction of the target part, and entering a suspension state; the system is used for prompting a user to modify the target part; and responding to the target part simulation model after the user inputs the rectification, updating the target part simulation model, and returning to the operation of S-1 until the calibration time concentration of the target part is less than the control concentration index.
In this embodiment, the alignment time concentration obtained by simulation is compared with a harmful gas control concentration index (simply referred to as "control concentration index") of the component. And if the alignment time concentration is smaller than the control concentration index, the part meets the air quality requirement, and the step S-4 is carried out. If the calibration time concentration is greater than or equal to the control concentration index, the part does not meet the air quality requirement, and an air quality rectification early warning is sent out for prompting a user to rectify and rectify the part; at the same time, a suspend state is entered.
It should be noted that, in each embodiment, the simulation process of the vapor emission of each component may be performed sequentially or simultaneously. If the operation is carried out sequentially, the suspension state represents that the whole method is suspended; if the simulation process is performed in parallel, the suspension state only represents that the simulation process of the target part is suspended, and S-4 is not performed, but the simulation process of other parts is not affected.
After the finishing is prompted, the user carries out air quality finishing on the part, for example, the interior material n with larger emission amount is selected for replacement or production process improvement; and inputting the modified part simulation model into the electronic equipment. It should be noted that the description of the user modifying and inputting the model is provided for better understanding of the method provided by the embodiment, and does not belong to the steps of the method.
And responding to the target part simulation model after the user inputs the rectification, updating the target part simulation model, and simulating the target part again until the time alignment concentration of the target part is less than the control concentration index.
And S-4, fitting an equivalent emission parameter of the target part according to the target part gas concentration time-course curve, wherein the equivalent emission parameter represents the overall harmful gas emission attribute of the target part.
S220, according to the whole vehicle simulation model and the equivalent emission parameters of all parts, simulation of the harmful gas emission process in the whole vehicle space is carried out on the basis of the computational fluid dynamics principle, and a whole vehicle gas concentration time-course curve is obtained.
The simulation model is a three-dimensional finite element numerical simulation model, the finished automobile simulation model comprises at least one part simulation model, and each part simulation model comprises at least one interior decoration material body simulation model; the gas concentration time course curve reflects the time variation process of the concentration of the harmful gas in the natural non-convection space.
Under the general condition, when the alignment time concentration of the parts does not accord with the part management and control index, the alignment time concentration of the whole vehicle also does not accord with the management and control index of the whole vehicle. Therefore, after the gas concentration time course curve of each part is obtained, whether the time-alignment concentration of the part meets the control index of the part is judged in time, and the whole vehicle simulation is performed after the part is finished, so that the condition that the meaningless whole vehicle simulation consumes too much time is avoided.
Optionally, after the harmful gas emission process simulation in the vehicle space is performed based on the computational fluid dynamics principle to obtain a vehicle gas concentration time-course curve, the method further includes the following steps:
and S230, extracting the harmful gas alignment time concentration of the whole vehicle from the whole vehicle gas concentration time course curve.
And S240, if the alignment time concentration is greater than or equal to the harmful gas control concentration index of the whole vehicle, sending out a whole vehicle air quality correction early warning.
Similar to S-2, after a whole vehicle gas concentration time course curve is obtained, whether the alignment time concentration of the whole vehicle meets the management and control index of the whole vehicle or not is judged. And if the alignment time concentration is smaller than the control concentration index, the whole vehicle meets the air quality requirement, and the method is finished. If the alignment time concentration is greater than or equal to the control concentration index, the whole vehicle does not meet the air quality requirement, and the whole vehicle air quality correction early warning is sent out.
The following two processing modes are possible:
the first method is as follows: from the viewpoint of component modification, it is necessary to modify a component having the highest modification cost ratio. The method specifically comprises the following operations:
s1-1, selecting the part with the highest cost performance of rectification as a target part, and sending out rectification suggestion early warning for prompting a user to rectify the target part.
The cost performance of the rectification is the ratio of the gas concentration change of the whole vehicle before and after the rectification to the rectification cost. Optionally, selecting a part with the highest cost performance of rectification as a target part, including the following steps:
s1-11, selecting a plurality of dissipation source parts serving as gas dissipation sources according to the gas concentration change process inside each part in the simulation process;
s1-12, performing the following operations on each emission source part one by one: modifying any equivalent emission parameter of the emission source part, and carrying out whole vehicle simulation again by using the modified emission source part to obtain the modified whole vehicle calibration time gas concentration; calculating the modification cost performance of the emission source part according to the following formula:
wherein P represents the cost/performance ratio of rectification, MT represents the rectification cost of the emission source part, C1And C2And respectively representing the alignment time gas concentration of the whole vehicle before and after modification. It can be seen that when C2＝0μg/m3When the treatment cost performance P is 1/MT, the treatment effect is maximized; when C is present2＝C1When the dosage is 0, the treatment is ineffective; when C is present2>C1In time, P is a negative value, and the treatment obtains an adverse effect. Therefore, the value range of the modification cost performance P is real number which is not more than 1/MT, and the larger the value is, the better the modification scheme is.
The correction measures are similar to those described in step S-3 and will not be described again here. Different rectification measures correspond to different rectification costs MT, including: time costs, economic costs, etc. The value of MT can be obtained in advance through experiments.
Optionally, the any equivalent emission parameter includes: the equivalent initial emission concentration, the equivalent partition coefficient, or the equivalent diffusion coefficient.
S1-2, responding to the target part simulation model after the user inputs the rectification, updating the target part simulation model, reducing the control concentration index of the target part, and returning to the S-1 operation until the control concentration of the whole vehicle is smaller than the control concentration index of the whole vehicle at the time of calibration.
And in the second mode, from the perspective of simulation calculation, the part with the largest influence on the simulation calculation is selected, and the simulation precision of the part is improved. The method specifically comprises the following operations:
s2-1, selecting a part meeting at least one of the following conditions as a target part: the maximum equivalent initial emanable concentration, the maximum equivalent diffusion coefficient, and the minimum equivalent distribution coefficient.
When each part all satisfies the management and control demand, theoretically whole car should also satisfy the management and control demand of whole car. If the whole vehicle is not satisfied, a large error may occur in simulation calculation from the parts to the whole vehicle. Control equation calculated from simulation in the present embodiment
And
in one approach, the target component most likely to cause the calculation error is located. As can be seen from the governing equation: diffusion coefficient DiThe largest part has the fastest gas diffusion speed; equivalent diffusible initial concentration CiThe largest part is a gas emission source with larger contribution; the part with the minimum equivalent distribution coefficient has the maximum adsorption capacity to gas and is also a gas adsorption source with small contribution; these components are most likely to affect the accuracy of the simulation calculations.
S2-2, reducing the grid size of the target part simulation model; and returning to the S-1 operation until the alignment time concentration of the whole vehicle is smaller than the control concentration index of the whole vehicle or exceeds the preset returning times.
The simulation precision is improved by adjusting the size of the finite element mesh, and the smaller the mesh size is, the larger the simulation precision is. However, by improving the simulation accuracy, the alignment time concentration of the whole vehicle may not reach the standard, and therefore, when the preset return times are exceeded, the circular simulation is stopped.
The first and second modes may be used alone or in combination. For example, firstly, the simulation calculation precision is improved by the second mode, if the preset return times are exceeded, the control requirement cannot be met, the first mode is used for prompting rectification, and the air quality is checked again after rectification. For another example, when the parts do not meet the control requirements, similar reforming ideas are also adopted to reform the materials: firstly, whether the air quality is a calculation error is verified by improving the simulation precision, if the air quality is not a calculation error, a rectification prompt is required, and after rectification, part simulation is carried out again to check the air quality.
The embodiment provides an in-vehicle air quality adjusting method on the basis of the in-vehicle gas concentration time-course curve simulation method provided by the embodiment. After the simulation of each part is finished, the air quality of the part is verified, and when the air quality is not in accordance with the air quality, a rectification measure is taken in time, so that the problem that the whole vehicle cannot be rectified after the simulation of the whole vehicle is finished, target parts causing air quality disqualification cannot be accurately judged, and the pertinence of the whole vehicle rectification is insufficient. In addition, the embodiment selects the part with the highest cost performance for rectification, so that the positioning accuracy of the target part is improved, the overall treatment cost is saved, and the treatment efficiency is further improved.
It should be noted that the in-vehicle gas air quality improvement early warning method provided in this embodiment may 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 embodiment is applicable to this embodiment.
Fig. 5 is a flowchart of a method for determining an interior material scheme according to an embodiment of the present invention, and the method for adjusting the quality of air in a vehicle according to the embodiment is used to determine the interior material scheme. As shown in fig. 5, the method includes the steps of:
s1, placing the interior materials 1,2, … and i in limited spaces with controllable temperature and humidity respectively, and measuring the gas concentration in the limited spaces at regular time to obtain a material gas concentration time-course curve.
And S2, obtaining size data such as the thickness, the area and the like of the interior material body 1,2, …, i and size data such as the length, the width, the height and the like of a limited space where the interior material body is located by measuring with a ruler, a tape measure, a vernier caliper or a digital model.
S3, calculating and obtaining the key emission parameters of the harmful gas in each interior material i by adopting the key emission parameter fitting algorithm of the material, including the initial emittable concentration and the diffusion coefficient DiAnd a distribution coefficient Ki. The diffusion coefficient D of harmful gas in the air is obtained by consulting the literaturea。
And S4, obtaining dimensional data such as the thickness, the area, the mutual contact stacking coating proportion and the like of the interior material bodies 1,2, …, i used on the parts 1,2, …, j through measurement of a ruler, a tape measure and a vernier caliper or measurement of a digital model, and obtaining the dimensional data such as the length, the width and the height of the limited space where each part is located. And drawing the parts and the geometric model corresponding to the limited space according to the dimension data in three-dimensional drawing software.
And S5, carrying out finite element meshing on the geometric simulation model. Dividing finer grids at the contact boundary of each interior material body and the emission space, wherein the size of the grids is 0.01 mm; inside each body of the interior material and inside the gaseous space, relatively large grids are divided, for example, with a grid size of 50 mm.
S6, respectively assigning the independent harmful gas emission parameters of each interior material i to all grid nodes of the corresponding interior material i in the geometric model, and assigning the diffusion coefficient D of the harmful gas in the airaAll mesh nodes of the gaseous space in the geometric model are assigned values. And (3) simulating the harmful gas emission process from the material to the part stage by taking the Fick second diffusion law and the Henry law as constraint conditions.
S7, respectively measuring the harmful gas concentration C in the material body at the adjacent measuring time of the adjacent grid nodesiAnd concentration C of harmful gas in gaseous spaceaAnd performing linear interpolation to obtain a part gas concentration time-course curve of the part in the limited space.
And S8, comparing the gas concentration simulation value of each part with the corresponding control concentration index. If the index requirement is not met, replacing the interior material n with larger emission amount or improving the production process, returning to S1 to independently test the interior material n until the index requirement is met, and then executing the following steps.
S9, calculating the equivalent key emission parameters of the harmful gas in each part j by using the key emission parameter fitting algorithm again, wherein the equivalent key emission parameters comprise the initial emittable concentration and the diffusion coefficient DjAnd a distribution coefficient Kj。
And S10, obtaining size data such as the length, width, height, mutual contact stacking coating proportion and the like of the parts 1,2, …, j through measurement of a ruler, a tape measure and a vernier caliper or measurement of a digital model, obtaining size data such as the length, width, height and the like of the whole vehicle space, and obtaining arrangement coordinate data of each part j in the whole vehicle. And drawing a geometric model of each part and the whole vehicle space in three-dimensional drawing software according to the size or coordinate data, as shown in figure 2.
And S11, referring to S6 and S7, replacing the interior materials 1,2, …, i with parts 1,2, …, j, and simulating the gas emission process from the parts to the whole vehicle stage to obtain a whole vehicle gas concentration time-course curve.
And S12, comparing the gas concentration simulation value of the whole vehicle with the control concentration index of the whole vehicle. If the standard does not meet the index requirement, the control concentration index of the part with high modification cost ratio is tightened, S8 is returned, and the part is modified. And finally, determining an interior material scheme until the simulated value of the gas concentration of the whole vehicle meets the control concentration index requirement of the whole vehicle, and putting the scheme into a subsequent trial production or mass production stage of the whole vehicle.
Fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, as shown in fig. 6, the electronic 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 may be one or more, and one processor 60 is taken as an example in fig. 6; the processor 60, the memory 61, the input device 62 and the output device 63 in the apparatus may be connected by a bus or other means, as exemplified by the bus connection in fig. 6.
The memory 61 is a computer-readable storage medium, and can be used to store a software program, a computer-executable program, and modules, such as program instructions/modules corresponding to the in-vehicle gas concentration time-course curve simulation method or the in-vehicle air quality adjustment 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 software programs, instructions and modules stored in the memory 61, that is, the above-described in-vehicle gas concentration time-course curve simulation method or in-vehicle air quality improvement early warning method is realized.
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, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 61 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the memory 61 may further include memory located remotely from the processor 60, which may be connected to the device over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 62 may be used to receive entered numeric or character information and to generate key signal inputs relating to user settings and function controls of the apparatus. The output device 63 may include a display device such as a display screen.
The embodiment of the invention also provides a computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and when the program is executed by a processor, the in-vehicle gas concentration time-course curve simulation method or the in-vehicle air quality correction early warning method in any embodiment is realized.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, 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 disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a 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.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, or the like, as well as conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the 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 the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions deviate from the technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for simulating a time course curve of gas concentration in a vehicle is characterized by comprising the following steps:
according to the simulation model of each part in the vehicle and the emission parameters of each interior trim material, simulating the emission process of each part in a preset limited space based on the computational fluid dynamics principle to obtain a gas concentration time-course curve of each part;
fitting equivalent emission parameters of each part according to the gas concentration time-course curve of each part, wherein the equivalent emission parameters represent the overall harmful gas emission attribute of each part;
according to the whole vehicle simulation model and the equivalent emission parameters of each part, simulating the harmful gas emission process in the whole vehicle space based on the computational fluid dynamics principle to obtain a whole vehicle gas concentration time-course curve;
the simulation model is a three-dimensional finite element numerical simulation model, the finished automobile simulation model comprises at least one part simulation model, and each part simulation model comprises at least one interior decoration material body simulation model; the gas concentration time course curve reflects the time variation process of the concentration of the harmful gas in the natural non-convection space.
2. The method of claim 1, wherein simulating the harmful gas emission process of each part in the preset limited space based on the computational fluid dynamics principle according to the simulation model of each part in the vehicle and the emission parameters of each interior trim material comprises:
in any part simulation model, dividing each interior material body simulation model into a plurality of finite element meshes, wherein the size of the boundary mesh is smaller than that of the interior mesh;
according to the equivalent weight of whole car simulation model and each spare part and give off the parameter, carry out the harmful gas in the whole car space and give off the process simulation based on the fluid dynamics principle of calculation, obtain whole car gas concentration time course curve, include:
removing each interior material body simulation model in each part simulation model, and only keeping the boundary of each part simulation model;
arranging the part simulation models with reserved boundaries in an original finished automobile model according to the positions of the parts in the finished automobile to obtain a final finished automobile simulation model; wherein the original full vehicle model only includes boundaries of the full vehicle space;
dividing each part simulation model with the reserved boundary into a plurality of finite element grids again, wherein the size of the boundary grid is smaller than that of the internal grid;
the boundary mesh is a finite element mesh at the boundary of the simulation model, and the internal mesh is a finite element mesh inside the simulation model.
3. The method of claim 1, wherein the emission parameters comprise: the initial emission concentration, diffusion coefficient and distribution coefficient of harmful gas;
according to the simulation model of each part in the vehicle and the emission parameters of each interior trim material, the simulation of the emission process of harmful gas of each part in a preset limited space is carried out based on the computational fluid dynamics principle, and a gas concentration time-course curve of each part is obtained, and the method comprises the following steps:
in any part simulation model, dividing each first diffusion area into a plurality of finite element grids, wherein the size of the boundary grid is smaller than that of the internal grid;
initializing the initial concentration of the harmful gas at each grid node according to the initial diffusible concentration of the harmful gas of each interior material;
according to the initial concentration, the diffusion coefficient and the distribution coefficient, simulating the harmful gas emission process of the part simulation model in the limited space to obtain a corresponding part gas concentration time-course curve;
in the simulation process, Fick second diffusion law is used as a control equation at all grid nodes, and Henry law is used as another control equation at each first distribution area boundary grid node; the first emission area is: any material body simulation model or gaseous space in the finite space; the boundary grid is: and the internal grid is the finite element grid inside the first diffusion area.
4. The method of claim 3, wherein the simulation process uses three-dimensional Fick's second diffusion law as a governing equation at all grid nodes.
5. The method of claim 3, wherein performing the simulation of the noxious gas emission process of the part simulation model in the limited space based on the initial concentration, the diffusion coefficient and the distribution coefficient comprises:
substituting the diffusion coefficient and the distribution coefficient into a Fick second diffusion law and a Henry law to obtain a control equation of a simulation process;
simulating the emission process of the harmful gas in a continuous period of time according to the initial concentration and the control equation; meanwhile, the concentration of the harmful gas in the limited space is measured and calculated at a plurality of measuring and calculating moments, wherein each measuring and calculating moment is determined according to the change rate of the concentration of the harmful gas in the limited space;
and fitting a corresponding component gas concentration time-course curve according to the harmful gas concentration at each measuring and calculating moment.
6. An in-vehicle air quality correction early warning method is characterized by comprising the following steps:
respectively taking each part in the vehicle as a target part, and performing the following operations:
s-1: according to a target part simulation model and emission parameters of each interior trim material, simulating a harmful gas emission process of the target part in a preset limited space based on a computational fluid dynamics principle to obtain a target part gas concentration time-course curve;
s-2: extracting the harmful gas standard alignment time concentration of the target part from the target part gas concentration time course curve;
s-3: if the calibration time concentration is greater than or equal to the preset harmful gas control concentration index of the target part, sending an early warning of air quality correction of the target part, and entering a suspension state; the target part air quality rectification early warning is used for prompting a user to rectify the target part; responding to the target part simulation model after the user inputs the rectification, updating the target part simulation model, and returning to the operation of S-1 until the time alignment concentration of the target part is smaller than the control concentration index;
s-4: fitting an equivalent emission parameter of the target part according to the target part gas concentration time-course curve, wherein the equivalent emission parameter represents the overall harmful gas emission attribute of the target part;
after obtaining the equivalent emission parameters of all parts, simulating the harmful gas emission process in the whole vehicle space based on the computational fluid dynamics principle according to the whole vehicle simulation model and the equivalent emission parameters to obtain a whole vehicle gas concentration time-course curve;
the simulation model is a three-dimensional finite element numerical simulation model, the finished automobile simulation model comprises at least one part simulation model, and each part simulation model comprises at least one interior decoration material body simulation model; the gas concentration time course curve reflects the time variation process of the concentration of the harmful gas in the natural non-convection space.
7. The method of claim 6, wherein after the simulation of the harmful gas emission process in the vehicle space is performed based on the computational fluid dynamics principle to obtain the vehicle gas concentration time-course curve, the method further comprises:
extracting the harmful gas alignment time-course concentration of the whole vehicle from the whole vehicle gas concentration time-course curve;
if the calibration time concentration is greater than or equal to the harmful gas control concentration index of the whole vehicle, sending a whole vehicle air quality rectification early warning; selecting a part with the highest cost performance of rectification as a target part, and sending out rectification suggestion early warning for prompting a user to rectify the target part; responding to the target part simulation model after the user inputs the rectification, updating the target part simulation model, reducing the control concentration index of the target part, and returning to the S-1 operation until the control concentration index of the whole vehicle is smaller than the control concentration index of the whole vehicle;
wherein, the cost performance of the reforming is the ratio of the gas concentration change of the whole vehicle before and after the reforming to the reforming cost.
8. The method of claim 7, wherein before selecting the most cost-effective component for modification as the target component, the method further comprises: selecting a part meeting at least one of the following conditions as a target part: the equivalent initial disseminatable concentration is the largest, the equivalent diffusion coefficient is the largest, and the equivalent distribution coefficient is the smallest;
reducing the grid size of the target part simulation model; and returning to the S-1 operation until the alignment time concentration of the whole vehicle is smaller than the control concentration index of the whole vehicle or exceeds the preset returning times.
9. An electronic device, comprising:
one or more processors;
a memory for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the in-vehicle gas concentration time course curve simulation method of any one of claims 1 to 5, or the in-vehicle air quality improvement warning method of any one of claims 6 to 8.
10. A computer-readable storage medium on which a computer program is stored, the program, when executed by a processor, implementing the in-vehicle gas concentration time-course curve simulation method according to any one of claims 1 to 5, or the in-vehicle air quality improvement warning method according to any one of claims 6 to 8.
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