Prediction method and device for maintenance of air inlet system, automobile and storage medium

Abstract

The embodiment of the invention provides an air inlet system maintenance prediction method and device, an automobile and a computer readable storage medium, and relates to the technical field of automobile engineering. The method comprises the steps that the current resistance of an air inlet system of the automobile and the average speed of the automobile are obtained; determining the current ash capacity of the air inlet system based on the current resistance; and according to the average vehicle speed and the current ash capacity, the mileage supported by the air inlet system before maintenance is predicted. According to the embodiment of the invention, the service life prediction of the automobile air inlet system is realized, a user can reasonably arrange the automobile maintenance time based on the predicted mileage supported by the air inlet system before maintenance, the perception experience of the user is improved, and the safety and stability of the air inlet system are further guaranteed.

Description

Technical Field

[0001] The present application relates to the field of automobile engineering technology, and in particular to a method, device, automobile and storage medium for predicting air intake system maintenance. Background Art

[0002] With the development of computers and modern sensor technology, the functions of automobiles are becoming more and more intelligent. By adding sensors to automobiles, vehicles are equipped with the ability to perceive the environment intelligently. Among them, the main function of the automobile intake system is to deliver clean, dry, sufficient and stable air to the engine to meet the needs of the engine and prevent impurities and large dust particles in the air from entering the engine combustion chamber and causing abnormal wear of the engine. Regular maintenance of the intake system is very important.

[0003] In the related art, the real-time resistance of the air intake system is generally detected based on a resistance alarm, and an alarm is issued when the real-time resistance reaches the resistance set value. However, this detection method cannot know the maintenance time of the air intake system in advance, and there is a problem of poor user perception experience. Summary of the invention

[0004] The present application provides a method, device, automobile and storage medium for predicting air intake system maintenance, which are used to solve the problem of poor user perception experience in the prior art.

[0005] According to one aspect of the present application, a method for predicting air intake system maintenance is provided, the method comprising:

[0006] Get the current resistance of the vehicle's air intake system and the vehicle's average speed;

[0007] determining a current ash capacity of the intake system based on the current resistance;

[0008] Based on average vehicle speed and current ash content, predict the mileage the air intake system can support before maintenance.

[0009] In a possible implementation, determining the current ash capacity of the intake system based on the current resistance includes:

[0010] Obtain the correlation between the resistance and the ash holding capacity corresponding to the intake system;

[0011] Based on the current resistance and the correlation relationship, the current ash capacity of the intake system is determined.

[0012] In a possible implementation, the above-mentioned obtaining the correlation between the resistance and the ash holding capacity corresponding to the intake system includes:

[0013] Collect multiple historical resistances of the air intake system and the historical ash capacity corresponding to each historical resistance;

[0014] Based on multiple historical resistances and the historical ash capacity corresponding to each historical resistance, a linear fitting is performed to obtain a fitting function of resistance and ash capacity;

[0015] The fitting function is used as the correlation between resistance and ash holding capacity.

[0016] In another possible implementation, determining the current ash capacity of the intake system based on the current resistance and the correlation relationship includes:

[0017] The current ash capacity of the intake system is calculated based on the fitting function and the current resistance.

[0018] In another possible implementation, the obtaining of the average speed of the vehicle includes:

[0019] Collect multiple historical speeds of the car based on different time intervals;

[0020] The average of multiple historical vehicle speeds is taken as the average vehicle speed.

[0021] In another possible implementation, the above-mentioned prediction of the mileage supported by the intake system before maintenance based on the average vehicle speed and the current ash capacity includes:

[0022] Determine the amount of ash entering the air intake system per unit time;

[0023] Determine the remaining ash capacity based on the current ash capacity and the upper limit ash capacity of the intake system;

[0024] Based on the remaining ash capacity and the ash intake amount of the air intake system per unit time, determine the remaining time for the air intake system to reach the upper limit ash capacity;

[0025] Based on the remaining time and average vehicle speed, determine the mileage the air intake system can support before requiring maintenance.

[0026] In another possible implementation, the above-mentioned determination of the ash intake amount of the intake system per unit time includes:

[0027] Obtain the rated air intake flow of the air intake system;

[0028] The dust intake amount of the air intake system per unit time is determined based on the preset ambient dust concentration and the rated air intake flow rate.

[0029] According to another aspect of an embodiment of the present application, a prediction device for intake system maintenance is provided, the device comprising:

[0030] An acquisition module, used to acquire the current resistance of the air intake system of the vehicle and the average speed of the vehicle;

[0031] A determination module, configured to determine a current ash capacity of the intake system based on the current resistance;

[0032] The prediction module is used to predict the mileage that the intake system can support before maintenance based on the average vehicle speed and the current ash capacity.

[0033] According to another aspect of the present application, a car is provided, which includes: a memory, a processor and a computer program stored in the memory, and the processor executes the computer program to implement the steps of the method shown in the first aspect of the present application.

[0034] According to another aspect of the present application, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method shown in the first aspect of the present application are implemented.

[0035] The beneficial effects of the technical solution provided by this application are:

[0036] The intake system maintenance prediction method, device, equipment and storage medium provided in the present application can determine the current dust capacity of the intake system through the current resistance of the intake system of the automobile, and then predict the mileage supported by the intake system before maintenance based on the average speed of the automobile and the current dust capacity; the present application realizes the life prediction of the automobile intake system, and the user can reasonably arrange the time of automobile maintenance based on the predicted mileage supported by the intake system before maintenance, thereby improving the user's perceived experience and further ensuring the safety and stability of the intake system. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0038] Figure 1 A flowchart of a method for predicting air intake system maintenance provided in an embodiment of the present application;

[0039] Figure 2 A schematic diagram of a flow chart for determining the current ash capacity in a method for predicting air intake system maintenance provided in an embodiment of the present application;

[0040] Figure 3 A schematic diagram of a curve showing the relationship between ash holding capacity and resistance in a method for predicting air intake system maintenance provided in an embodiment of the present application;

[0041] Figure 4 A flowchart of an example intake system maintenance prediction method provided in an embodiment of the present application;

[0042] Figure 5A schematic diagram of the structure of a prediction device for intake system maintenance provided in an embodiment of the present application. DETAILED DESCRIPTION

[0043] Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present disclosure. In addition, in the following description, descriptions of well-known structures and technologies are omitted to avoid unnecessary confusion of the concepts of the present disclosure.

[0044] Various structural schematic diagrams according to embodiments of the present disclosure are shown in the accompanying drawings. These figures are not drawn to scale, and some details are magnified and some details may be omitted for the purpose of clear expression. The shapes of various regions and layers shown in the figures and the relative sizes and positional relationships therebetween are only exemplary, and may deviate in practice due to manufacturing tolerances or technical limitations, and those skilled in the art may further design regions / layers with different shapes, sizes, and relative positions according to actual needs.

[0045] In the context of the present disclosure, when a layer / element is referred to as being "on" another layer / element, the layer / element may be directly on the other layer / element or an intervening layer / element may exist between them. In addition, if a layer / element is "on" another layer / element in one orientation, the layer / element may be "below" the other layer / element when the orientation is reversed.

[0046] First, the terms involved in this application are explained:

[0047] An intelligent vehicle is a general vehicle that has advanced sensors (such as radars, cameras, etc.), controllers, actuators and other devices added to it. Through the on-board environmental perception system and information terminal, it can exchange information with people, vehicles, roads, etc., so that the vehicle has intelligent environmental perception capabilities, can automatically analyze the safety and danger status of vehicle driving, and enable the vehicle to reach the destination according to the wishes of the person, ultimately achieving the purpose of replacing human operation.

[0048] Smart cars are a new generation of cars that are equipped with advanced sensor systems, decision systems, and execution systems, and use new technologies such as information communication, the Internet, big data, cloud computing, and artificial intelligence. They have partial or full automatic driving functions and are gradually transforming from simple transportation tools to smart mobile spaces. The prediction method for intake system maintenance provided in the embodiments of the present application can be applied to smart cars.

[0049] The intake system consists of an air filter, an air flow meter, an intake pressure sensor, a throttle body, an additional air valve, an idle speed control valve, a resonance chamber, a power chamber, an intake manifold, etc. Its main function is to deliver clean, dry, sufficient and stable air to the engine to meet the needs of the engine and prevent impurities and large particles of dust in the air from entering the engine combustion chamber and causing abnormal wear of the engine. Another important function of the intake system is to reduce noise. The intake noise not only affects the passing noise of the whole vehicle, but also affects the noise inside the vehicle, which has a great impact on the ride comfort. The quality of the intake system design directly affects the power and noise quality of the engine, and is related to the ride comfort of the whole vehicle.

[0050] In the related technology, the real-time resistance of the intake system can be detected based on a resistance alarm. When the real-time resistance reaches the resistance setting value, an alarm is issued to remind the driver to perform maintenance on the intake system. However, the driver may postpone maintenance due to failure to plan time in advance, which may cause wear and tear on the engine.

[0051] The following is a detailed description of the technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0052] In an embodiment of the present application, a method for predicting air intake system maintenance is provided, as shown in the figure, which can be applied to a smart car. The method includes:

[0053] S101, obtaining the current resistance of the air intake system of the vehicle and the average speed of the vehicle.

[0054] The above average vehicle speed may be determined based on historical driving data of the vehicle.

[0055] Specifically, the smart car can obtain the current resistance of the intake system based on the resistance sensor, and determine the average speed of the car based on the historical driving data of the vehicle.

[0056] S102, determining a current ash capacity of the intake system based on the current resistance.

[0057] Among them, the resistance of the intake system is positively correlated with the ash holding capacity. The larger the ash holding capacity, the greater the resistance.

[0058] In some implementations, the smart car may obtain in advance the correlation between the resistance and the ash holding capacity of the intake system, and determine the current ash holding capacity corresponding to the current resistance based on the correlation.

[0059] In other embodiments, a neural network model may be pre-trained based on historical resistance data and historical ash capacity data of the intake system, and the current resistance may be input into the trained neural network model for prediction to obtain the current ash capacity of the corresponding intake system.

[0060] S103, predicting the mileage that the intake system can support before maintenance based on the average vehicle speed and the current ash capacity.

[0061] Specifically, the smart car can estimate the time when the intake system reaches the upper limit of the ash capacity based on the current ash capacity, and calculate the mileage that the smart car can travel before the intake system is maintained based on the average vehicle speed and the time when the intake system reaches the upper limit of the ash capacity. This allows the driver to understand the status of the intake system in real time and plan the maintenance time of the intake system in advance.

[0062] The embodiment of the present application determines the current dust capacity of the intake system through the current resistance of the intake system of the automobile, and then predicts the mileage supported by the intake system before maintenance based on the average speed of the automobile and the current dust capacity; the present application realizes the life prediction of the automobile intake system, and the user can reasonably arrange the time of automobile maintenance based on the predicted mileage supported by the intake system before maintenance, thereby improving the user's perceived experience and further ensuring the safety and stability of the intake system.

[0063] A possible implementation method is provided in the embodiment of the present application, such as Figure 2 As shown, the above-mentioned determination of the current ash capacity of the intake system based on the current resistance includes:

[0064] S201, obtaining the correlation between the resistance and the ash holding capacity corresponding to the intake system.

[0065] The above correlation relationship can be represented by a function. The above correlation relationship can be obtained based on historical data fitting, and the specific fitting method will be described in detail below.

[0066] S202, determining the current ash capacity of the intake system based on the current resistance and the correlation relationship.

[0067] Specifically, the smart car can bring the current resistance into the fitting function to calculate the current dust capacity.

[0068] The embodiment of the present application determines the correlation between the resistance and ash capacity of the automobile's air intake system to determine the current ash capacity corresponding to the current resistance. The remaining ash capacity of the air intake system can be analyzed based on the current ash capacity, effectively improving the accuracy of subsequent maintenance predictions.

[0069] A possible implementation method is provided in an embodiment of the present application. The above-mentioned obtaining of the correlation between the resistance and the ash holding capacity corresponding to the intake system includes:

[0070] S301, collecting multiple historical resistances of the air intake system and the historical ash capacity corresponding to each historical resistance.

[0071] The historical resistance and historical ash capacity may be measurement data from laboratory simulation or measurement data from an actual vehicle.

[0072] S302, performing linear fitting based on multiple historical resistances and the historical dust capacity corresponding to each historical resistance to obtain a fitting function of resistance and dust capacity; and using the fitting function as the correlation between resistance and dust capacity.

[0073] Optionally, the smart car can also draw a fitting curve according to multiple historical resistances and the historical ash capacity corresponding to each historical resistance, such as Figure 3 As shown, the above fitting curve is used as the correlation between resistance and ash holding capacity. In the figure, the horizontal axis is the resistance value of the intake system, the unit is kPa, and the vertical axis is the ash holding capacity of the intake system, the unit is g. The ash holding capacity of the intake system can be predicted based on the curve.

[0074] Furthermore, after determining the correlation between the resistance and the ash holding capacity, the current ash holding capacity of the intake system may be determined based on the following steps:

[0075] In an embodiment of the present application, a possible implementation method is provided, wherein the current ash capacity of the intake system is determined based on the current resistance and the correlation relationship, including:

[0076] The current ash capacity of the intake system is calculated based on the fitting function and the current resistance.

[0077] Optionally, the smart car can also query based on the fitting curve to obtain the current dust capacity corresponding to the current resistance.

[0078] In an embodiment of the present application, the smart car can determine the current ash capacity of the intake system based on the current resistance collected by the resistance sensor and the predetermined correlation between the resistance and ash capacity of the intake system, obtain the ash capacity status of the intake system, and predict the remaining life of the intake system based on the ash capacity status, thereby laying a good foundation for the subsequent prediction of maintenance time.

[0079] A possible implementation method is provided in an embodiment of the present application. The above-mentioned obtaining of the average speed of the vehicle includes:

[0080] Based on different time intervals, multiple historical vehicle speeds of the vehicle are collected; and the average value of the multiple historical vehicle speeds is used as the average vehicle speed of the vehicle.

[0081] In the embodiment of the present application, the smart car can collect the historical speed of the car in the past six months, and determine the average speed of the car based on the historical speed in the past six months. The historical speed can be used to predict how many kilometers the smart car can travel before the intake system maintenance, which can provide the driver with a more intuitive maintenance reminder.

[0082] In an embodiment of the present application, a possible implementation method is provided, wherein the mileage supported by the intake system before maintenance is predicted based on the average vehicle speed and the current ash capacity, including:

[0083] S401, determining the amount of ash entering the air intake system per unit time.

[0084] The above-mentioned ash intake amount per unit time may be determined based on the rated flow rate of the air intake system.

[0085] S402, determining a remaining ash capacity based on a current ash capacity and an upper limit ash capacity of an intake system.

[0086] For example, the upper limit ash capacity may be C, the current ash capacity may be c1, and the remaining ash capacity may be ΔC=C-c1.

[0087] S403, based on the remaining ash capacity and the ash intake amount of the air intake system per unit time, determine the remaining time for the air intake system to reach the upper limit ash capacity.

[0088] Specifically, the remaining ash capacity ΔC may be divided by the ash intake per unit time X to obtain the remaining time T for the intake system to reach the upper limit ash capacity.

[0089] S404, determining the mileage supported by the intake system before maintenance based on the remaining time and the average vehicle speed.

[0090] Specifically, the product of the remaining time and the average vehicle speed can be used as the mileage supported by the intake system before maintenance.

[0091] In an embodiment of the present application, a possible implementation method is provided, wherein the above-mentioned determination of the amount of ash entering the intake system per unit time includes:

[0092] The rated air intake flow rate of the air intake system is obtained; and the dust intake amount of the air intake system per unit time is determined according to the preset environmental dust concentration and the rated air intake flow rate.

[0093] Among them, the above-mentioned environmental dust concentration can be obtained based on the air quality data provided by the Meteorological Bureau, or it can be detected by sensors of smart cars while driving.

[0094] Specifically, the smart car can determine the target area for the car to travel based on multiple historical driving areas of the vehicle; wherein, the target area can be an area that the car often visits, and the multiple historical driving areas can be arranged in descending order based on the number of visits, and the historical driving areas with a number of visits greater than a preset number are taken as target areas; then, the smart car can obtain the dust concentration of multiple target areas of the smart car, and the number of visits corresponding to the target area; then, the number of visits to the target area can be used as the weight corresponding to each target area, and the weighted average of the dust concentrations of each target area is taken as the ambient dust concentration.

[0095] The embodiment of the present application performs maintenance prediction of the intake system by taking into account multiple aspects such as ambient dust concentration, air flow rate of the intake system, average speed of the vehicle, etc., which can effectively enhance the accuracy of maintenance prediction and further improve user experience.

[0096] In order to better understand the above-mentioned prediction method for intake system maintenance, the following is combined with Figure 4 An example of a method for predicting air intake system maintenance of the present application is described in detail, the method comprising the following steps:

[0097] S501, obtaining the current resistance value a1 (kPa) of the intake system based on the resistance sensor, and determining the corresponding relationship between the resistance and the dust holding capacity according to the resistance-dust holding capacity test curve, and then obtaining the dust holding capacity c1 (g) corresponding to the resistance value.

[0098] Specifically, the resistance-dust holding capacity curve of the air intake system can be measured in the laboratory in advance, such as Figure 3 As shown, the corresponding dust holding capacity Cn(g) can be recorded for each increase in resistance ΔK(kPa), a flow resistance-dust holding capacity curve can be drawn, and the total dust holding capacity C(g) at the final pressure difference can be obtained.

[0099] Furthermore, the remaining ash holding capacity of the intake system Δc=C-c1 can be calculated.

[0100] S502, collecting multiple historical vehicle speeds of the vehicle, and calculating an average value S (km / h) of the multiple historical vehicle speeds.

[0101] S503, obtain the ambient dust concentration b1 (mg / m 3 ), and the rated flow rate Q(m 3 / h).

[0102] S504, calculating the remaining maintenance mileage M (km) of the intake system based on the following formula:

[0103] M = Δc / [b1*Q]*S*1000.

[0104] The present application embodiment provides a prediction device for air intake system maintenance, such as Figure 5 As shown, the intake system maintenance prediction device 50 may include: an acquisition module 501, a determination module 502 and a prediction module 503;

[0105] The acquisition module 501 is used to acquire the current resistance of the air intake system of the vehicle and the average speed of the vehicle;

[0106] A determination module 502, configured to determine a current ash capacity of the intake system based on the current resistance;

[0107] The prediction module 503 is used to predict the mileage that the intake system can support before maintenance based on the average vehicle speed and the current ash capacity.

[0108] In an embodiment of the present application, a possible implementation is provided. When the determination module 502 determines the current ash capacity of the intake system based on the current resistance, it is used to:

[0109] Obtain the correlation between the resistance and the ash holding capacity corresponding to the intake system;

[0110] Based on the current resistance and the correlation relationship, the current ash capacity of the intake system is determined.

[0111] In an embodiment of the present application, a possible implementation is provided. When the determination module 502 obtains the correlation between the resistance and the ash holding capacity corresponding to the intake system, it is used to:

[0112] Collect multiple historical resistances of the air intake system and the historical ash capacity corresponding to each historical resistance;

[0113] Based on multiple historical resistances and the historical ash capacity corresponding to each historical resistance, a linear fitting is performed to obtain a fitting function of resistance and ash capacity;

[0114] The fitting function is used as the correlation between resistance and ash holding capacity.

[0115] In an embodiment of the present application, a possible implementation is provided. When the determination module 502 determines the current ash capacity of the intake system based on the current resistance and the correlation relationship, it is used to:

[0116] The current ash capacity of the intake system is calculated based on the fitting function and the current resistance.

[0117] In an embodiment of the present application, a possible implementation is provided. When acquiring the average speed of a vehicle, the acquisition module 501 is used to:

[0118] Collect multiple historical speeds of the car based on different time intervals;

[0119] The average of multiple historical vehicle speeds is taken as the average vehicle speed.

[0120] The embodiment of the present application provides a possible implementation method, in which the prediction module 503 predicts the mileage supported by the intake system before maintenance based on the average vehicle speed and the current ash capacity, for:

[0121] Determine the amount of ash entering the air intake system per unit time;

[0122] Determine the remaining ash capacity based on the current ash capacity and the upper limit ash capacity of the intake system;

[0123] Based on the remaining ash capacity and the ash intake amount of the air intake system per unit time, determine the remaining time for the air intake system to reach the upper limit ash capacity;

[0124] Based on the remaining time and average vehicle speed, determine the mileage the air intake system can support before requiring maintenance.

[0125] In an embodiment of the present application, a possible implementation is provided. When determining the amount of ash entering the intake system per unit time, the prediction module 503 is used to:

[0126] Obtain the rated air intake flow of the air intake system;

[0127] The dust intake amount of the air intake system per unit time is determined based on the preset ambient dust concentration and the rated air intake flow rate.

[0128] The device of the embodiments of the present application can execute the method provided by the embodiments of the present application, and the implementation principles are similar. The actions performed by each module in the device of each embodiment of the present application correspond to the steps in the method of each embodiment of the present application. For the detailed functional description of each module of the device, please refer to the description in the corresponding method shown in the previous text, which will not be repeated here.

[0129] The embodiment of the present application determines the current dust capacity of the intake system through the current resistance of the intake system of the automobile, and then predicts the mileage supported by the intake system before maintenance based on the average speed of the automobile and the current dust capacity; the present application realizes the life prediction of the automobile intake system, and the user can reasonably arrange the time of automobile maintenance based on the predicted mileage supported by the intake system before maintenance, thereby improving the user's perceived experience and further ensuring the safety and stability of the intake system.

[0130] An automobile is provided in an embodiment of the present application, including a memory, a processor and a computer program stored in the memory, and the processor executes the above-mentioned computer program to implement the steps of a method for predicting intake system maintenance. Compared with the related art, the following can be achieved: the embodiment of the present application determines the current dust capacity of the intake system through the current resistance of the intake system of the automobile, and then predicts the mileage supported by the intake system before maintenance based on the average speed of the automobile and the current dust capacity; the present application realizes the life prediction of the automobile intake system, and the user can reasonably arrange the time for automobile maintenance based on the predicted mileage supported by the intake system before maintenance, thereby improving the user's perceived experience and further ensuring the safety and stability of the intake system.

[0131] In an embodiment of the present application, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method shown in the first aspect of the embodiment of the present application are implemented.

[0132] In the above description, the technical details such as the patterning of each layer are not described in detail. However, those skilled in the art should understand that various technical means can be used to form layers, regions, etc. of desired shapes. In addition, in order to form the same structure, those skilled in the art can also design methods that are not completely the same as the methods described above. In addition, although the various embodiments are described above separately, this does not mean that the measures in the various embodiments cannot be used in combination to advantage.

[0133] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0134] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A method for predicting air intake system maintenance, characterized in that: The method comprises: Obtaining a current resistance of an air intake system of a vehicle and an average speed of the vehicle; determining a current ash holding capacity of the intake system based on the current resistance; The mileage supported by the intake system before maintenance is predicted based on the average vehicle speed and the current ash holding capacity.

2. The method according to claim 1, characterized in that The determining the current ash holding capacity of the intake system based on the current resistance includes: Obtaining a correlation between resistance and ash holding capacity corresponding to the intake system; Based on the current resistance and the correlation, a current ash holding capacity of the intake system is determined.

3. The method according to claim 2, characterized in that The obtaining of the correlation between the resistance and the ash holding capacity corresponding to the intake system includes: Collecting a plurality of historical resistances of the air intake system and a historical ash capacity corresponding to each of the historical resistances; Based on the plurality of historical resistances and the historical ash holding capacity corresponding to each of the historical resistances, linear fitting is performed to obtain a fitting function of resistance and ash holding capacity; The fitting function is used as the correlation between the resistance and the ash holding capacity.

4. The method according to claim 3, characterized in that The determining the current ash holding capacity of the intake system based on the current resistance and the correlation relationship includes: A calculation is performed based on the fitting function and the current resistance to obtain a current ash holding capacity of the intake system.

5. The method according to claim 1, characterized in that Obtaining the average speed of the car, including: Collecting multiple historical vehicle speeds of the vehicle based on different time intervals; An average value of the multiple historical vehicle speeds is used as the average vehicle speed of the vehicle.

6. The method according to claim 1, characterized in that The predicting, based on the average vehicle speed and the current ash holding capacity, the mileage supported by the intake system before maintenance includes: Determining the amount of ash entering the air intake system per unit time; Determining a remaining ash capacity based on a current ash capacity and an upper limit ash capacity of the intake system; Based on the remaining ash holding capacity and the ash intake amount of the air intake system per unit time, determining the remaining time for the air intake system to reach the upper limit ash holding capacity; Based on the remaining time and the average vehicle speed, a mileage supported by the intake system before maintenance is determined.

7. The method according to claim 6, characterized in that Determining the amount of ash entering the air intake system per unit time includes: Obtaining a rated intake flow rate of the intake system; The dust intake amount of the air intake system per unit time is determined according to a preset environmental dust concentration and the rated air intake flow rate.

8. A prediction device for air intake system maintenance, characterized in that: The prediction device for air intake system maintenance comprises: An acquisition module, used for acquiring the current resistance of the air intake system of the vehicle and the average speed of the vehicle; A determination module, configured to determine a current ash holding capacity of the intake system based on the current resistance; The prediction module is used to predict the mileage supported by the intake system before maintenance based on the average vehicle speed and the current ash holding capacity.

9. A car, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method according to any one of claims 1 to 7 when executing the computer program.

10. A storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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