A method, system, electronic device and medium for predicting the service life of a filter element

Abstract

The present invention discloses a method, a system, an electronic device and a medium for predicting the service life of a filter element, which relates to the field of filter element service life prediction. The method includes: obtaining the original flow resistance values of a plurality of unused filter elements of the same type under different medium flow rate values; fitting the original flow resistance values and the medium flow rate values; obtaining the final flow resistance values of a plurality of unused filter elements of the same type after use under different medium flow rate values; fitting the final flow resistance values and the medium flow rate values; obtaining the actual medium flow rate value and the corresponding actual flow resistance value through a sensor; inputting the actual medium flow rate value into the original flow resistance characteristic curve to calculate the actual original flow resistance value; inputting the actual medium flow rate value into the final flow resistance characteristic curve to calculate the actual final flow resistance value; and calculating the remaining service life percentage of the filter element according to the actual flow resistance value, the actual original flow resistance value and the actual final flow resistance value. The present invention can improve the accuracy of the replacement opportunity of the in-vehicle filter element filter.

Description

Technical Field

[0001] The present invention relates to the field of filter element life prediction, and particularly to a method, a system, an electronic device and a medium for predicting the life of a filter element. Background Art

[0002] An in-vehicle filter is an important component for reducing the wear of an automotive engine. The filter element of the in-vehicle filter needs to be replaced in a timely manner to ensure the normal operation of the automotive engine. At present, there are two ways to determine the opportunity to replace the filter element of the in-vehicle filter. The first way is to maintain the filter element according to the vehicle maintenance instructions after the filter element has been used for a fixed mileage or a fixed time. This method has the following drawbacks: First, if the vehicle operating conditions are very good and the performance of the filter element is still qualified after being used for a fixed mileage or a fixed time, the filter element is replaced when it reaches the service life, resulting in a waste of resources. Second, if the vehicle operating conditions are very poor, it is possible that the filter element becomes blocked before it reaches the fixed mileage or fixed time. If the filter element is not replaced in a timely manner, it will cause poor engine air intake, resulting in an increase in engine fuel consumption and further damage to the engine. The second way is to set a pressure alarm switch to detect whether the maximum flow resistance value at the filter element reaches the flow resistance value threshold to determine whether to replace the filter element. The flow resistance value of the filter element represents the service life of the filter element. During the driving of the vehicle, the flow resistance value of the filter element is affected by the medium flow rate and shows a wavy change. The flow rate of the medium is affected by the load state of the engine, and the load state of the engine is affected by various factors such as the driving habits of the driver, the vehicle load, and the vehicle running attitude. The pressure alarm switch uses a certain state at a certain moment to measure the flow resistance of the entire filter element, resulting in inaccurate opportunity judgment. For example, when the driver suddenly steps on the accelerator, the load of the engine increases, the flow resistance value of the filter element increases, and is higher than the flow resistance value threshold. At this time, the filter element performance is intact, but the pressure alarm switch gives a false alarm. Summary of the Invention

[0003] The purpose of the present invention is to provide a method, a system, an electronic device and a medium for predicting the life of a filter element, which can predict the remaining life percentage of the filter element under the current operating conditions according to the actual operating conditions of the vehicle and the use state of the filter element, so as to improve the accuracy of the opportunity to replace the filter element of the in-vehicle filter.

[0004] To achieve the above purpose, the present invention provides the following solutions:

[0005] A method for predicting the life of a filter element, the method comprising:

[0006] Obtaining the flow resistance values of a plurality of unused filter elements of the same type under different medium flow rate values to obtain the original flow resistance values;

[0007] Fitting the original flow resistance values and the medium flow rate values to obtain an original flow resistance characteristic curve;

[0008] After obtaining the flow resistance values of the multiple unused filters of the same type after use at different medium flow rate values, the final flow resistance value is obtained.

[0009] The final flow resistance value and the medium flow rate value are fitted to obtain a final flow resistance characteristic curve.

[0010] The actual medium flow rate value and the corresponding actual flow resistance value are obtained through a sensor.

[0011] The actual medium flow rate value is input into the original flow resistance characteristic curve to calculate the actual original flow resistance value

[0012] The actual medium flow rate value is input into the final flow resistance characteristic curve to calculate the actual final flow resistance value.

[0013] According to the actual flow resistance value, the actual original flow resistance value and the actual final flow resistance value, the remaining life percentage of the filter element is calculated.

[0014] Optionally, the original flow resistance characteristic curve is:

[0015] y1 = A1x 3 + B1x 2 + C1x + D1;

[0016] Where y1 is the original flow resistance value of the filter element; x is the medium flow rate value; A1 is a fitting coefficient; B1 is a fitting coefficient; C1 is a fitting coefficient and D1 is a fitting coefficient.

[0017] Optionally, the final flow resistance characteristic curve is:

[0018] y2 = A2x 3 + B2x 2 + C2x + D2;

[0019] Where y2 is the final flow resistance value of the filter element; x is the medium flow rate value; A2 is a fitting coefficient; B2 is a fitting coefficient; C2 is a fitting coefficient and D2 is a fitting coefficient.

[0020] Optionally, the obtaining of the actual medium flow rate value and the corresponding actual flow resistance value through the sensor specifically includes:

[0021] At set time intervals, through a medium flow rate sensor installed on the vehicle, a set number of effective medium flow rate values are continuously obtained, and the corresponding effective flow resistance values are synchronously obtained through a pressure sensor installed on the vehicle;

[0022] The average of the effective medium flow rate values is calculated to obtain the actual medium flow rate value;

[0023] The average of the corresponding effective flow resistance values is calculated to obtain the corresponding actual flow resistance value.

[0024] Optionally, calculating the remaining life percentage of the filter element according to the actual flow resistance value, the actual original flow resistance value, and the actual end flow resistance value specifically includes:

[0025] Obtaining a first difference by subtracting the actual flow resistance value from the actual end flow resistance value;

[0026] Obtaining a second difference by subtracting the actual original flow resistance value from the actual end flow resistance value;

[0027] Obtaining the remaining life percentage of the filter element by dividing the first difference by the second difference.

[0028] Optionally, the method further includes:

[0029] Judging the state of the filter element according to the actual flow resistance value, the actual original flow resistance value, and the actual end flow resistance value;

[0030] When the actual flow resistance value is greater than or equal to the actual original flow resistance value and less than or equal to the actual end flow resistance value, the state of the filter element is a normal state, and the remaining life percentage of the filter element is calculated according to the actual flow resistance value, the actual original flow resistance value, and the actual end flow resistance value;

[0031] When the actual flow resistance value is greater than the actual end flow resistance value, the state of the filter element is a first abnormal state; the first abnormal state includes that the filter element is used beyond its life or the air inlet of the filter element is blocked;

[0032] When the actual flow resistance value is less than the actual original flow resistance value, the state of the filter element is a second abnormal state; the second abnormal state includes that the filter element is broken or leaking or the filter element is not installed.

[0033] A prediction system for the life of a filter element, which is applied to the above-mentioned prediction method for the life of a filter element, and the system includes:

[0034] A first acquisition module, configured to acquire the flow resistance values of a plurality of unused filter elements of the same type under different medium flow values to obtain the original flow resistance values;

[0035] A first fitting module, configured to fit the original flow resistance values and the medium flow values to obtain an original flow resistance characteristic curve;

[0036] A second acquisition module, configured to acquire the flow resistance values of the plurality of unused filter elements of the same type after use under different medium flow values to obtain the end flow resistance values;

[0037] A second fitting module, configured to fit the end flow resistance value and the medium flow rate value to obtain an end flow resistance characteristic curve;

[0038] A third acquisition module, configured to acquire an actual medium flow rate value and a corresponding actual flow resistance value through a sensor;

[0039] A first calculation module, configured to input the actual medium flow rate value into the original flow resistance characteristic curve to calculate an actual original flow resistance value;

[0040] A second calculation module, configured to input the actual medium flow rate value into the end flow resistance characteristic curve to calculate an actual end flow resistance value;

[0041] A third calculation module, configured to calculate a percentage of the remaining life of the filter element according to the actual flow resistance value, the actual original flow resistance value, and the actual end flow resistance value.

[0042] An electronic device includes a memory and a processor. The memory is configured to store a computer program, and the processor runs the computer program to enable the electronic device to execute the above-mentioned method for predicting the life of a filter element.

[0043] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned method for predicting the life of a filter element is implemented.

[0044] According to the specific embodiments provided by the present invention, the following technical effects are disclosed by the present invention:

[0045] The method for predicting the life of a filter element provided by the present invention includes: acquiring flow resistance values of a plurality of unused filter elements of the same type under different medium flow rate values to obtain original flow resistance values; fitting the original flow resistance values and the medium flow rate values to obtain an original flow resistance characteristic curve; acquiring flow resistance values of a plurality of unused filter elements of the same type after use under different medium flow rate values to obtain end flow resistance values; fitting the end flow resistance values and the medium flow rate values to obtain an end flow resistance characteristic curve; acquiring an actual medium flow rate value and a corresponding actual flow resistance value through a sensor; inputting the actual medium flow rate value into the original flow resistance characteristic curve to calculate an actual original flow resistance value; inputting the actual medium flow rate value into the end flow resistance characteristic curve to calculate an actual end flow resistance value; calculating a percentage of the remaining life of the filter element according to the actual flow resistance value, the actual original flow resistance value, and the actual end flow resistance value. The present invention predicts the percentage of the remaining life of the filter element under the current working condition through the actual working condition of the vehicle and the use state of the filter element, and improves the accuracy of the opportunity for replacing the filter element of the vehicle-mounted filter. Description of the Drawings

[0046] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0047] Figure 1 Flowchart of the prediction method for the filter element life provided by the present invention;

[0048] Figure 2 Module diagram of the prediction system for the filter element life provided by the present invention.

[0049] Symbol description:

[0050] 1 - First acquisition module, 2 - First fitting module, 3 - Second acquisition module, 4 - Second fitting module, 5 - Third acquisition module, 6 - First calculation module, 7 - Second calculation module, 8 - Third calculation module. Specific implementation manner

[0051] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0052] The object of the present invention is to provide a prediction method, system, electronic device and medium for the filter element life, which can predict the remaining life percentage of the filter element under the current working conditions according to the actual working conditions of the vehicle and the use status of the filter element, and improve the accuracy of the replacement opportunity of the in - vehicle filter element.

[0053] To make the above - mentioned objects, features and advantages of the present invention more obvious and understandable, the present invention will be further described in detail below with reference to the drawings and specific implementation manners.

[0054] Embodiment 1

[0055] As Figure 1 shown, the present invention provides a prediction method for the filter element life, and the method includes:

[0056] Step S1: Obtain the flow resistance values of multiple unused filter elements of the same type under different medium flow values to obtain the original flow resistance.

[0057] In practical applications, the original flow resistance characteristics of the filter element products are tested in the laboratory. Among them, the products of the same type refer to filter element products with the same flow rate or the same diameter.

[0058] Step S2: Fit the original flow resistance value and the medium flow rate value to obtain an original flow resistance characteristic curve; specifically, the original flow resistance characteristic curve is:

[0059] y1 = A1x 3 + B1x 2 + C1x + D1;

[0060] where y1 is the original flow resistance value of the filter element, in kPa; x is the medium flow rate value, in m 3 / h; A1, B1, C1, and D1 are all fitting coefficients. By fitting multiple original flow resistance values and the corresponding medium flow rate values, the specific values of the fitting coefficients A1, B1, C1, and D1 can be determined.

[0061] In practical applications, the way to obtain the original flow resistance curve is to conduct flow resistance tests at multiple flow rate points such as 30%, 40%, 50%, 60% of the rated flow rate. Each flow rate point corresponds to a resistance value. If the flow rate is taken as the X-axis and the resistance as the Y-axis, many points can be obtained, and then these points are fitted into a curve.

[0062] Step S3: Obtain the flow resistance values of the multiple unused filter elements of the same type after use at different medium flow rate values to obtain the final flow resistance values.

[0063] In practical applications, the final flow resistance value is the flow resistance value corresponding to the end of the product life. In addition, according to the requirements of the user, the final flow resistance value can also be the flow resistance value specified by the customer to achieve customized products and meet different customer needs.

[0064] Step S4: Fit the final flow resistance value and the medium flow rate value to obtain a final flow resistance characteristic curve; specifically, the final flow resistance characteristic curve is:

[0065] y2 = A2x 3 + B2x 2 + C2x + D2;

[0066] where y2 is the final flow resistance value of the filter element, in kPa; x is the medium flow rate value, in m 3 / h; A2, B2, C2, and D2 are all fitting coefficients. By fitting multiple final flow resistance values and the medium flow rate values, the specific values of the fitting coefficients A2, B2, C2, and D2 can be determined.

[0067] In practical applications, the way to obtain the end-of-life flow resistance curve is to conduct flow resistance tests on multiple unused filters of the same type after use (at the end of their service life or when the user's requirements are met) at multiple flow rate points, such as 30%, 40%, 50%, 60% of the rated flow rate. Each flow rate point corresponds to a resistance value. If the flow rate is taken as the X-axis and the resistance as the Y-axis, many points can be obtained, and then these points are fitted into a curve to obtain the end-of-life flow resistance characteristic curve.

[0068] In addition, convert the original flow resistance characteristic curve and the end-of-life flow resistance characteristic curve into the corresponding programming language and input them into the vehicle-mounted controller.

[0069] Step S5: Obtain the actual medium flow rate value and the corresponding actual flow resistance value through a sensor.

[0070] S5 specifically includes:

[0071] Step S51: Continuously obtain a set number of valid medium flow rate values at set time intervals through the medium flow rate sensor installed on the vehicle, and synchronously obtain the corresponding valid flow resistance values through the pressure sensor installed on the vehicle.

[0072] In practical applications, the vehicle continuously collects 10 sets of medium flow rate data and product flow resistance data through the medium flow rate sensor and pressure sensor installed on the vehicle every 20 s, and transmits the collected data to the vehicle-mounted controller.

[0073] Step S52: Calculate the average of the valid medium flow rate values to obtain the actual medium flow rate value.

[0074] As a specific implementation manner, calculate the average of the 10 collected medium flow rate data to obtain the actual medium flow rate value X3.

[0075] Step S53: Calculate the average of the corresponding valid flow resistance values to obtain the corresponding actual flow resistance value.

[0076] As a specific implementation manner, calculate the average of the 10 collected product flow resistance data to obtain the actual flow resistance value Y3 of the product.

[0077] Step S6: Input the actual medium flow rate value into the original flow resistance characteristic curve to calculate the actual original flow resistance value. Specifically, substitute the actual medium flow rate value X3 into the original flow resistance characteristic curve to obtain the actual original flow resistance value y1.

[0078] In practical applications, input the actual medium flow rate value into the corresponding original flow resistance characteristic curve of the same type to calculate the actual original flow resistance value.

[0079] Step S7: Input the actual medium flow rate value into the final flow resistance characteristic curve to calculate the actual final flow resistance value. Specifically, substitute the actual medium flow rate value X3 into the original flow resistance characteristic curve to obtain the actual final flow resistance value y2.

[0080] In practical applications, input the actual medium flow rate value into the corresponding final flow resistance characteristic curve of the same type to calculate the actual final flow resistance value.

[0081] Step S8: Calculate the percentage of the remaining life of the filter element according to the actual flow resistance value, the actual original flow resistance value, and the actual final flow resistance value.

[0082] In practical applications, the vehicle-mounted controller displays the calculated percentage of the remaining life of the filter element through the vehicle-mounted display or the instrument panel.

[0083] S8 specifically includes:

[0084] Step S81: Subtract the actual flow resistance value from the actual final flow resistance value to obtain a first difference.

[0085] Step S82: Subtract the actual original flow resistance value from the actual final flow resistance value to obtain a second difference.

[0086] Step S83: Divide the first difference by the second difference to obtain the percentage of the remaining life of the filter element. Specifically, the percentage of the remaining life of the filter element = (y2 - Y3) / (y2 - y1).

[0087] In addition, the method for predicting the life of the filter element provided by the present invention further includes:

[0088] Step S01: Judge the state of the filter element according to the actual flow resistance value, the actual original flow resistance value, and the actual final flow resistance value.

[0089] Step S02: When the actual flow resistance value is greater than or equal to the actual original flow resistance value and less than or equal to the actual final flow resistance value, the state of the filter element is a normal state. Calculate the percentage of the remaining life of the filter element according to the actual flow resistance value, the actual original flow resistance value, and the actual final flow resistance value. Specifically, when y1 ≤ Y3 ≤ y2, this state is the normal product state, and the percentage of the remaining flow resistance of the product, that is, the percentage of the remaining life of the filter element, can be calculated.

[0090] Step S03: When the actual flow resistance value is greater than the actual final flow resistance value, the state of the filter element is the first abnormal state; the first abnormal state includes that the filter element is used beyond its life or the air inlet of the filter element is blocked. Specifically, when Y3 > y2, this state is an abnormal state, and there may be a risk that the filter element is used beyond its life or the air inlet of the product is blocked.

[0091] Step S04: When the actual flow resistance value is less than the actual original flow resistance value, the state of the filter element is the second abnormal state; the second abnormal state includes filter element breakage or missing installation of the filter element. Specifically, when Y3 < y1, this state is an abnormal state, and there may be a risk of filter element breakage or missing installation of the filter element.

[0092] Embodiment II

[0093] To execute the method corresponding to Embodiment I above to achieve the corresponding functions and technical effects, a prediction system for the service life of a filter element is provided below.

[0094] The present invention provides a prediction system for the service life of a filter element, as Figure 2 shown, the system includes:

[0095] A first acquisition module 1, configured to acquire the flow resistance values of a plurality of unused filter elements of the same type at different medium flow values, and obtain the original flow resistance values.

[0096] A first fitting module 2, configured to fit the original flow resistance values and the medium flow values to obtain an original flow resistance characteristic curve.

[0097] A second acquisition module 3, configured to acquire the flow resistance values of the plurality of unused filter elements of the same type after use at different medium flow values, and obtain the final flow resistance values.

[0098] A second fitting module 4, configured to fit the final flow resistance values and the medium flow values to obtain a final flow resistance characteristic curve.

[0099] A third acquisition module 5, configured to acquire the actual medium flow value and the corresponding actual flow resistance value through a sensor.

[0100] A first calculation module 6, configured to input the actual medium flow value into the original flow resistance characteristic curve and calculate the actual original flow resistance value.

[0101] A second calculation module 7, configured to input the actual medium flow value into the final flow resistance characteristic curve and calculate the actual final flow resistance value.

[0102] A third calculation module 8, configured to calculate the remaining service life percentage of the filter element according to the actual flow resistance value, the actual original flow resistance value, and the actual final flow resistance value.

[0103] Embodiment III

[0104] An embodiment of the present invention provides an electronic device, including a memory and a processor. The memory is used to store a computer program, and the processor runs the computer program to enable the electronic device to execute the prediction method for the service life of the filter element in Embodiment I.

[0105] Optionally, the above electronic device may be a server.

[0106] In addition, an embodiment of the present invention further provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the method for predicting the service life of the filter element in the first embodiment.

[0107] The method, system, electronic device and medium for predicting the service life of the filter element provided by the present invention have the following advantages:

[0108] The method, system, electronic device and medium for predicting the service life of the filter element provided by the present invention adopt the display mode of the percentage of the remaining service life of the filter element, eliminating the false alarms caused by the two states of 0 and 1 of the pressure alarm switch. In addition, it enables the driver to perform maintenance according to the actual use status of the filter element, reducing the waste of time and money caused by maintaining the filter element; at the same time, it avoids the waste phenomenon caused by replacing the filter element according to the vehicle maintenance instructions when the vehicle working conditions are very good; and the situation where the engine intake air is not smooth and the engine fuel consumption increases due to not replacing the filter element according to the vehicle maintenance instructions when the vehicle working conditions are very poor.

[0109] The various embodiments in this specification are described in a progressive manner. The key point of each embodiment is to illustrate the differences from other embodiments. The same or similar parts among the various embodiments can be referred to each other. For the system disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple, and the relevant parts can be referred to the description of the method part.

[0110] Specific examples are used in this article to elaborate on the principles and implementation manners of the present invention. The description of the above embodiments is only used to help understand the method and its core idea of the present invention; at the same time, for those of ordinary skill in the art, based on the idea of the present invention, there will be changes in the specific implementation manners and application scopes. In summary, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for predicting the service life of a filter element, characterized in that, The method includes: Obtaining the flow resistance values of multiple unused filters of the same type at different medium flow rate values to obtain the original flow resistance values; Fitting the original flow resistance values and the medium flow rate values to obtain an original flow resistance characteristic curve; Obtaining the flow resistance values of the multiple unused filters of the same type after use at different medium flow rate values to obtain the final flow resistance values; Fitting the final flow resistance values and the medium flow rate values to obtain a final flow resistance characteristic curve; Obtaining the actual medium flow rate value and the corresponding actual flow resistance value through a sensor; Inputting the actual medium flow rate value into the original flow resistance characteristic curve to calculate the actual original flow resistance value; Inputting the actual medium flow rate value into the final flow resistance characteristic curve to calculate the actual final flow resistance value; Calculating the remaining life percentage of the filter element according to the actual flow resistance value, the actual original flow resistance value, and the actual final flow resistance value; The obtaining the actual medium flow rate value and the corresponding actual flow resistance value through a sensor specifically includes: At set time intervals, continuously obtaining a set number of effective medium flow rate values through a medium flow rate sensor installed on a vehicle, and synchronously obtaining the corresponding effective flow resistance values through a pressure sensor installed on the vehicle; Taking the average of the effective medium flow rate values to obtain the actual medium flow rate value; Taking the average of the corresponding effective flow resistance values to obtain the corresponding actual flow resistance value; The calculating the remaining life percentage of the filter element according to the actual flow resistance value, the actual original flow resistance value, and the actual final flow resistance value specifically includes: Obtaining a first difference by subtracting the actual flow resistance value from the actual final flow resistance value; Obtaining a second difference by subtracting the actual original flow resistance value from the actual final flow resistance value; Obtaining the remaining life percentage of the filter element by dividing the first difference by the second difference.

2. The method for predicting the filter element life according to claim 1, characterized in that, The original flow resistance characteristic curve is: y1 = A1x 3 + B1x 2 + C1x + D1; Where y1 is the original flow resistance value of the filter element; x is the medium flow rate value; A1 is a fitting coefficient; B1 is a fitting coefficient; C1 is a fitting coefficient and D1 is a fitting coefficient.

3. The prediction method of the filter element life according to claim 1, wherein, The final flow resistance characteristic curve is: y2 = A2x 3 + B2x 2 + C2x + D2; Where y2 is the final flow resistance value of the filter element; x is the medium flow rate value; A2 is a fitting coefficient; B2 is a fitting coefficient; C2 is a fitting coefficient and D2 is a fitting coefficient.

4. The method for predicting the service life of a filter element according to claim 1, characterized in that, The method further includes: Judging the state of the filter element according to the actual flow resistance value, the actual original flow resistance value, and the actual final flow resistance value; When the actual flow resistance value is greater than or equal to the actual original flow resistance value and less than or equal to the actual final flow resistance value, the state of the filter element is a normal state, and the remaining life percentage of the filter element is calculated according to the actual flow resistance value, the actual original flow resistance value, and the actual final flow resistance value; When the actual flow resistance value is greater than the actual final flow resistance value, the state of the filter element is a first abnormal state; the first abnormal state includes that the filter element is used beyond its life or the air inlet of the filter element is blocked; When the actual flow resistance value is less than the actual original flow resistance value, the state of the filter element is a second abnormal state; the second abnormal state includes that the filter element is broken or leaking or the filter element is not installed.

5. A prediction system for the service life of a filter element, characterized in that, The system includes: A first acquisition module, configured to acquire the flow resistance values of multiple unused filters of the same type at different medium flow rate values, so as to obtain the original flow resistance values; A first fitting module, configured to fit the original flow resistance values and the medium flow rate values to obtain an original flow resistance characteristic curve; A second acquisition module, configured to acquire the flow resistance values of the multiple unused filters of the same type after use at different medium flow rate values, so as to obtain the final flow resistance values; A second fitting module, configured to fit the final flow resistance values and the medium flow rate values to obtain a final flow resistance characteristic curve; A third acquisition module, configured to acquire an actual medium flow rate value and a corresponding actual flow resistance value through a sensor; The acquiring the actual medium flow rate value and the corresponding actual flow resistance value through the sensor specifically includes: At set time intervals, continuously acquire a set number of valid medium flow rate values through a medium flow rate sensor installed on a vehicle, and synchronously acquire corresponding valid flow resistance values through a pressure sensor installed on the vehicle; Calculate the average of the valid medium flow rate values to obtain the actual medium flow rate value; Calculate the average of the corresponding valid flow resistance values to obtain the corresponding actual flow resistance value; A first calculation module, configured to input the actual medium flow rate value into the original flow resistance characteristic curve to calculate an actual original flow resistance value; A second calculation module, configured to input the actual medium flow rate value into the final flow resistance characteristic curve to calculate an actual final flow resistance value; A third calculation module, configured to calculate the remaining life percentage of the filter element according to the actual flow resistance value, the actual original flow resistance value and the actual final flow resistance value; The calculating the remaining life percentage of the filter element according to the actual flow resistance value, the actual original flow resistance value and the actual final flow resistance value specifically includes: Subtract the actual flow resistance value from the actual final flow resistance value to obtain a first difference; Subtract the actual original flow resistance value from the actual final flow resistance value to obtain a second difference; Divide the first difference by the second difference to obtain the remaining life percentage of the filter element.

6. An electronic device, characterized in that, It includes a memory and a processor, the memory is used to store a computer program, and the processor runs the computer program to enable the electronic device to execute the method for predicting the life of the filter element according to any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that, It stores a computer program, and when the computer program is executed by the processor, it implements the method for predicting the life of the filter element according to any one of claims 1 to 4.

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