Method, device and electronic equipment for predicting the life of an automotive electronic water pump

Abstract

The application provides a life prediction method, device and electronic equipment of an automobile electronic water pump. The method obtains working time length distributions of the automobile electronic water pump under various rotating speeds, various accelerations, various currents, various voltages and various powers, then evaluates the wear degree of the automobile electronic water pump according to the working time length distributions of the automobile electronic water pump under various rotating speeds, various accelerations and various powers to obtain a first evaluation result, evaluates the electrical aging degree of the automobile electronic water pump according to the working time length distributions of the automobile electronic water pump under various currents and various voltages to obtain a second evaluation result, and finally predicts the life of the automobile electronic water pump according to the first evaluation result and the second evaluation result. The life of the automobile electronic water pump can be accurately predicted, which provides a basis for whether the performance and safety boundary threshold of the automobile electronic water pump need to be corrected, and the failure frequency can be effectively reduced.

Description

Technical Field

[0001] This application relates to the field of automotive electronic water pump technology, and in particular to a method, apparatus and electronic device for predicting the lifespan of an automotive electronic water pump. Background Technology

[0002] Currently, the cooling system solutions used in vehicles on the market typically consist of a mechanical water pump and a thermostat. The thermostat regulates the two branches: the main radiator circulation loop and the bypass loop. The thermostat is generally designed to gradually open the main circulation loop when the temperature reaches 80-90°C, allowing airflow into the radiator for heat dissipation. In conventional solutions, neither the mechanical water pump nor the thermostat can be independently controlled, thus limiting flexibility. To achieve precise temperature control and better thermal management, more and more vehicle models are beginning to use electronic water pumps, temperature control modules, and other electrified components.

[0003] Currently, automotive electronic water pumps are used based solely on their factory-set performance and safety thresholds throughout their entire lifespan, without considering their aging condition or adjusting their performance and usage limits. However, with increased mechanical wear, water pump performance declines towards the end of its lifespan, deviating from its factory specifications. At the same rotational speed, it cannot provide the original flow rate, inevitably leading to persistently high water temperatures and potentially causing related system failures. Furthermore, as automotive electronic water pumps continue to operate, their electrical components gradually age, becoming unable to withstand the same high voltage and current values ​​as before, making them more prone to malfunction. Summary of the Invention

[0004] The main objective of this application is to provide a method, apparatus, and electronic device for predicting the lifespan of an automotive electronic water pump. The aim is to accurately predict the lifespan of the automotive electronic water pump, thereby enabling the understanding of its wear and aging based on the prediction results. This provides a basis for determining whether subsequent adjustments to the pump's performance and safety thresholds are necessary, effectively reducing the frequency of failures.

[0005] To achieve the above objectives, a first aspect of this application proposes a method for predicting the lifespan of an automotive electronic water pump, the method comprising:

[0006] Obtain a first distribution and a second distribution, wherein the first distribution is the operating time distribution of the automotive electronic water pump at various speeds, and the second distribution is the operating time distribution of the automotive electronic water pump at various accelerations;

[0007] Obtain a third distribution, a fourth distribution, and a fifth distribution. The third distribution is the operating time distribution of the automotive electronic water pump under various currents, the fourth distribution is the operating time distribution of the automotive electronic water pump under various voltages, and the fifth distribution is the operating time distribution of the automotive electronic water pump under various power levels.

[0008] The wear degree of the automotive electronic water pump is evaluated based on the first distribution, the second distribution, and the fifth distribution to obtain a first evaluation result;

[0009] Based on the third and fourth distributions, the electrical aging degree of the automotive electronic water pump is evaluated to obtain a second evaluation result;

[0010] Based on the first evaluation result and the second evaluation result, the lifespan of the automotive electronic water pump is predicted.

[0011] In some embodiments, obtaining the first distribution and the second distribution includes:

[0012] Based on a preset communication frequency and a preset interval, the rotational speed of the automotive electronic water pump is collected to obtain multiple rotational speed arrays, which include multiple rotational speed values ​​collected within the interval.

[0013] The average speed of each of the speed arrays is calculated to obtain the average speed of each speed array.

[0014] The first distribution is obtained statistically based on the average rotational speed and the interval duration;

[0015] Calculate the corresponding acceleration array for each of the aforementioned rotational speed arrays;

[0016] The average value of acceleration is obtained by averaging each of the acceleration arrays.

[0017] The second distribution is obtained statistically based on the average acceleration and the interval duration.

[0018] In some embodiments, obtaining the third, fourth, and fifth distributions includes:

[0019] Based on a preset communication frequency and a preset interval duration, the current and voltage of the automotive electronic water pump are collected to obtain multiple current arrays and multiple voltage arrays. The current arrays include multiple current values ​​collected within the interval duration, and the voltage arrays include multiple voltage values ​​collected within the interval duration.

[0020] The average value of the current is obtained by averaging each current array;

[0021] The third distribution is obtained statistically based on the average current and the interval duration;

[0022] The average value of each voltage array is obtained by averaging the voltages of each voltage array.

[0023] The fourth distribution is obtained statistically based on the average voltage and the interval duration.

[0024] The power array is calculated based on the current array and the voltage array;

[0025] The average power value corresponding to each power array is obtained by averaging the power arrays.

[0026] The fifth distribution is obtained statistically based on the average power and the interval duration.

[0027] In some embodiments, the assessment of the wear degree of the automotive electronic water pump based on the first distribution, the second distribution, and the fifth distribution to obtain a first assessment result includes:

[0028] After multiplying and correcting the working time corresponding to each rotation speed in the first distribution, the first wear degree score is obtained by summing the results.

[0029] After multiplying and correcting each acceleration in the second distribution with the corresponding working time, the results are summed to obtain the second wear degree score.

[0030] After multiplying and correcting the power and the corresponding working time of each power in the fifth distribution, the third wear degree score is obtained by summing the results.

[0031] The first wear level score, the second wear level score, and the third wear level score are weighted and summed to obtain the first evaluation result.

[0032] In some embodiments, the assessment of the electrical aging degree of the automotive electronic water pump based on the third and fourth distributions to obtain a second assessment result includes:

[0033] After multiplying and correcting the current and the corresponding working time of each current in the third distribution, the summation is performed to obtain the first aging degree score.

[0034] After multiplying and correcting the voltage and the corresponding working time of each voltage in the fourth distribution, the summation is performed to obtain the second aging degree score;

[0035] The first aging score and the second aging score are weighted and summed to obtain the second evaluation result.

[0036] In some embodiments, predicting the lifespan of the automotive electric water pump based on the first evaluation result and the second evaluation result includes:

[0037] Based on the wear tolerance test of the automotive electronic water pump, a first lifespan array is constructed, which includes lifespan levels corresponding to different degrees of wear.

[0038] Based on the first evaluation results and the first lifespan array, the first lifespan level of the automotive electronic water pump is determined;

[0039] Based on the electrical aging test of the automotive electronic water pump, a second lifespan array is constructed, which includes lifespan levels corresponding to different degrees of aging.

[0040] Based on the second evaluation results and the second lifespan array, the second lifespan level of the automotive electronic water pump is determined;

[0041] The lifespan of the automotive electronic water pump is predicted based on the first lifespan level and the second lifespan level.

[0042] In some embodiments, after obtaining the first evaluation result and the second evaluation result, the method further includes:

[0043] Based on the first evaluation result, the performance correction factor is calculated;

[0044] The performance parameters of the automotive electronic water pump are corrected according to the performance correction factor. The performance parameters include flow rate, head, power, efficiency, speed, voltage, and current.

[0045] Based on the second evaluation result, the current correction factor and voltage correction factor are calculated;

[0046] The overcurrent threshold and stall threshold of the automotive electronic water pump are corrected according to the current correction factor.

[0047] The overvoltage threshold and undervoltage threshold of the automotive electronic water pump are corrected according to the voltage correction factor.

[0048] In some embodiments, the method further includes:

[0049] The frequency of occurrence of each fault type of the automotive electronic water pump under each duration was statistically analyzed to obtain the sixth distribution;

[0050] Based on the sixth distribution, the predicted lifespan of the automotive electronic water pump is corrected;

[0051] Based on the sixth distribution, the failure risk level of the automotive electronic water pump is assessed.

[0052] To achieve the above objectives, a second aspect of this application provides a life prediction device for an automotive electronic water pump, the device comprising:

[0053] The first acquisition module is used to acquire a first distribution and a second distribution, wherein the first distribution is the operating time distribution of the automotive electronic water pump at various speeds, and the second distribution is the operating time distribution of the automotive electronic water pump at various accelerations.

[0054] The second acquisition module is used to acquire the third distribution, the fourth distribution, and the fifth distribution. The third distribution is the operating time distribution of the automotive electronic water pump under various currents, the fourth distribution is the operating time distribution of the automotive electronic water pump under various voltages, and the fifth distribution is the operating time distribution of the automotive electronic water pump under various power levels.

[0055] The first evaluation module is used to evaluate the wear degree of the automotive electronic water pump based on the first distribution, the second distribution, and the fifth distribution, and obtain a first evaluation result;

[0056] The second evaluation module is used to evaluate the electrical aging degree of the automotive electronic water pump based on the third distribution and the fourth distribution, and obtain a second evaluation result;

[0057] The prediction module is used to predict the lifespan of the automotive electronic water pump based on the first evaluation result and the second evaluation result.

[0058] To achieve the above objectives, a third aspect of this application provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the method described in the first aspect.

[0059] This application proposes a method, apparatus, and electronic device for predicting the lifespan of an automotive electronic water pump. The method obtains a first distribution and a second distribution. The first distribution represents the operating time distribution of the automotive electronic water pump at various speeds, and the second distribution represents the operating time distribution of the automotive electronic water pump at various accelerations. Then, it obtains a third, fourth, and fifth distribution. The third distribution represents the operating time distribution of the automotive electronic water pump at various currents, the fourth distribution represents the operating time distribution of the automotive electronic water pump at various voltages, and the fifth distribution represents the operating time distribution of the automotive electronic water pump at various power levels. Based on the first, second, and fifth distributions, the wear degree of the automotive electronic water pump is evaluated to obtain a first evaluation result. Based on the third and fourth distributions, the electrical aging degree of the automotive electronic water pump is evaluated to obtain a second evaluation result. Finally, based on the first and second evaluation results, the lifespan of the automotive electronic water pump is predicted. Based on the operating time distribution of automotive electronic water pumps under various speeds, accelerations, currents, voltages, and power levels, the lifespan of automotive electronic water pumps can be accurately predicted. This provides a basis for determining whether subsequent adjustments to the performance and safety boundary thresholds of automotive electronic water pumps are necessary, and can effectively reduce the frequency of failures. Attached Figure Description

[0060] Figure 1 This is a flowchart of the life prediction method for an automotive electronic water pump provided in an embodiment of this application;

[0061] Figure 2 This is a flowchart of the steps for obtaining the first distribution provided in an embodiment of this application;

[0062] Figure 3 This is a flowchart of the steps for obtaining the second distribution provided in an embodiment of this application;

[0063] Figure 4 This is a flowchart of the steps for obtaining the third distribution provided in an embodiment of this application;

[0064] Figure 5 This is a flowchart of the steps for obtaining the fourth distribution provided in an embodiment of this application;

[0065] Figure 6 This is a flowchart of the steps for obtaining the fifth distribution provided in an embodiment of this application;

[0066] Figure 7 This is a flowchart of the steps for evaluating the wear degree of an automotive electronic water pump and obtaining a first evaluation result based on a first distribution, a second distribution, and a fifth distribution, as provided in an embodiment of this application.

[0067] Figure 8This is a flowchart of the steps for evaluating the electrical aging degree of an automotive electronic water pump and obtaining a second evaluation result based on the third distribution and the fourth distribution provided in this application embodiment;

[0068] Figure 9 This is a flowchart of the steps for predicting the lifespan of an automotive electronic water pump based on the first and second evaluation results, provided in an embodiment of this application.

[0069] Figure 10 This is a flowchart of the steps performed after obtaining the first evaluation result and the second evaluation result, provided in an embodiment of this application.

[0070] Figure 11 This is a schematic diagram of the life prediction device for an automotive electronic water pump provided in an embodiment of this application;

[0071] Figure 12 This is a schematic diagram of the hardware structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0072] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0073] It should be noted that although functional modules are divided in the device schematic diagram and a logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than the module division in the device or the order in the flowchart. The terms "first," "second," etc., in the specification, claims, and the aforementioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence.

[0074] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only and is not intended to limit this application.

[0075] With the development of new emission regulations and new energy sources, automotive electronic water pumps are gradually replacing traditional automotive mechanical water pumps. Automotive electronic water pumps are a key component of the water circulation, cooling, or onboard water supply systems commonly used in automobiles (including ordinary gasoline vehicles, new energy vehicles, RVs, and other special vehicles). They also include motors and controllers.

[0076] Currently, although the performance of car engines has greatly improved, it is impossible to achieve 100% conversion of chemical or electrical energy into mechanical energy. A significant portion of this energy is converted into heat, and dissipating this heat is the task of the car's cooling system. In the cooling system, the car's electric water pump is the power source for the entire system, and the pump's head directly affects the cooling effect.

[0077] As automotive electric water pumps continue to operate, mechanical wear increases, and electrical components gradually age. Towards the end of their lifespan, their performance and reliability decline. However, most automotive electric water pumps are designed with their factory-set performance and safety thresholds as the sole benchmark throughout their entire lifespan. Therefore, at the same operating speed, they may fail to deliver the original flow rate, leading to persistently high water temperatures and potential failures in other systems. Furthermore, aging electrical components may become unable to withstand the same high voltage and current values ​​as before, resulting in frequent malfunctions and impacting usability.

[0078] Based on this, this application proposes a method for predicting the lifespan of an automotive electronic water pump. By analyzing the operating time distribution of the automotive electronic water pump under various speeds, accelerations, currents, voltages, and power levels, the lifespan of the automotive electronic water pump can be accurately predicted. This provides a basis for determining whether subsequent adjustments to the performance and safety boundary thresholds of the automotive electronic water pump are necessary, and can effectively reduce the frequency of failures.

[0079] Reference Figure 1 , Figure 1 This is a flowchart illustrating a method for predicting the lifespan of an automotive electronic water pump, as provided in an embodiment of this application. Figure 1 The method may include, but is not limited to, steps S101 to S105.

[0080] Step S101: Obtain the first distribution and the second distribution. The first distribution is the working time distribution of the car electronic water pump at various speeds, and the second distribution is the working time distribution of the car electronic water pump at various accelerations.

[0081] In this embodiment, considering that automotive electronic water pumps include a motor and a controller, their tolerance to environmental and mechanical wear is more fragile than that of traditional automotive mechanical water pumps. For example, if the motor in the automotive electronic water pump is a dry-type motor, the internal structure of the automotive electronic water pump is similar to that of an automotive mechanical water pump, with components such as shaft seals and bearings. However, because dry-type motors cannot withstand water, their leakage requirements are higher than those of automotive mechanical water pumps. Therefore, the wear condition of bearings and water seals during long-term operation is very important. If the motor in the automotive electronic water pump is a wet-type motor, the controller generally needs internal cooling. In addition, the movement between the shaft and the magnet has higher frictional losses due to the absence of ordinary bearings, and long-term operation also results in some wear. When the automotive electronic water pump ages due to long-term operation, its performance will decline to some extent at the end of its lifespan. Therefore, if the automotive electronic water pump is still controlled according to the original requirements, insufficient flow and high water temperature may easily occur, causing related failures in other systems. At the same time, due to the aging of electrical components, they are also prone to failure and other problems such as being unable to withstand the same high voltage and high current values ​​as before.

[0082] Therefore, in this embodiment of the application, it is necessary to assess the mechanical wear and electrical aging of the automotive electronic water pump, and then determine the current lifespan level of the automotive electronic water pump based on the assessment results. To assess the mechanical wear and electrical aging of the automotive electronic water pump, it is necessary to first collect data on the operating time distribution of the automotive electronic water pump under various speeds, accelerations, currents, voltages, and power levels.

[0083] Specifically, refer to Figure 2 In this embodiment of the application, it is necessary to first collect the working time distribution of the automotive electronic water pump at various speeds, including but not limited to steps S201 to S203.

[0084] Step S201: Based on a preset communication frequency and a preset interval duration, the rotational speed of the car's electronic water pump is collected to obtain multiple rotational speed arrays, which include multiple rotational speed values ​​collected within the interval duration.

[0085] In this embodiment, after the engine starts, the start status bit B_start = 1, at which point the controller can begin collecting the operating status information of the automotive electric water pump. After the controller sends the target speed signal to the automotive electric water pump, it will simultaneously receive the actual speed feedback from the automotive electric water pump. Therefore, during the operation of the automotive electric water pump, the communication frequency between the controller and the automotive electric water pump can be set first, for example, set to f. In this case, the number of signals exchanged between the controller and the automotive electric water pump per second is f. Then, the interval duration can be set, for example, set to t. The controller will then store the received signals sequentially every interval t, storing f*t speed signals at a time.

[0086] It should be noted that the controller continuously receives the operating status information of the car's electronic water pump, but it doesn't need to store each received data immediately. Instead, it can store all the data received within a set of groups, at intervals of time t. This makes the collected data more structured and regular, facilitating subsequent calculations.

[0087] For example, if the communication frequency is set to 10Hz and the interval is 3S, the controller will store the 30 speed signals in the first 3S sequentially to obtain the first speed array, and then store the 30 speed signals in the second 3S to obtain the second speed array, and so on, to obtain several speed arrays.

[0088] It is understood that, in this embodiment of the application, the settings of communication frequency and interval duration can be determined according to actual conditions. Similarly, the final number of rotational speed arrays to be collected can also be determined according to actual conditions.

[0089] Step S202: Calculate the average speed for each speed array to obtain the average speed value corresponding to each speed array.

[0090] After storing multiple speed arrays, the average value of each speed array is calculated to obtain the average speed value for each array. For example, if the first speed array contains multiple speed signals, the average value of these signals is calculated to obtain the average speed value of the first speed array as V1. If the second speed array contains multiple speed signals, the average value of these signals is calculated to obtain the average speed value of the second speed array as V2, and so on, the average speed value for each speed array can be calculated.

[0091] For example, the first speed array contains 30 speed signals. Averaging these 30 speed signals yields an average speed of 1550 r / min for the first speed array. The second speed array also contains 30 speed signals. Averaging these 30 speed signals yields an average speed of 3000 r / min for the second speed array. In this way, the average speed for each speed array can be calculated.

[0092] Step S203: Based on the average rotational speed and the interval duration, the first distribution is statistically obtained.

[0093] Since the interval duration is preset to t, after calculating the average speed corresponding to each speed array, the duration for which the car's electric water pump continuously operates at that speed is t, which is one of the working durations of the car's electric water pump at that speed. For example, if the interval duration is t seconds, and the average speed corresponding to the first speed array is V1, then the working duration of the car's electric water pump at speed V1 is t seconds. If the average speed corresponding to the second speed array is V2, then the working duration of the car's electric water pump at speed V2 is t seconds. If the average speed corresponding to the third speed array is also V1, then the working duration of the car's electric water pump at speed V1 is added to t seconds, resulting in 2t seconds. In this way, the cumulative working duration of the car's electric water pump at each speed can be calculated.

[0094] For example, with the communication frequency set to 10Hz and the interval length set to 3 seconds, the calculated average speed of the first speed array is 1550 r / min. Therefore, the operating time of the car's electric water pump at 1550 r / min is tentatively set to 3 seconds. If the calculated average speed of the second speed array is 3000 r / min, the operating time of the car's electric water pump at 3000 r / min is also tentatively set to 3 seconds. If the calculated average speed of the third speed array is also 1550 r / min, the operating time of the car's electric water pump at 1550 r / min needs to be increased by another 3 seconds, tentatively set to 6 seconds. This calculation continues until all speed arrays have been calculated.

[0095] In this embodiment, considering that the calculated average rotational speeds may not be exactly the same, and that the mechanical wear on the automotive electric water pump is basically the same when the rotational speeds are not significantly different (e.g., the mechanical wear on the automotive electric water pump is basically the same at 1550 r / min and 1600 r / min), a fixed-value analysis of the rotational speed is performed to reduce the computational load. Specifically, a first distribution map is constructed, which is a distribution map of the working time of the automotive electric water pump at various rotational speeds. The horizontal axis represents rotational speed in r / min, and the vertical axis represents working time in hours (H). The horizontal axis can be grouped according to the design rotational speed of the automotive electric water pump. For example, if the maximum rotational speed of the automotive electric water pump is 6000 r / min, it can be divided into 61 groups (including 0 r / min) at 100 r / min intervals. The working time distribution of the automotive electric water pump at these 61 rotational speeds can then be calculated.

[0096] It should be noted that the communication frequency is set to 10Hz and the interval is 3S. In this case, if the calculated average speed is not one of these 61 speed values, for example, if the calculated average speed is 1550r / min, then the next speed value of 1600r / min will be taken, that is, 3S will be added to the working time of the speed value of 1600r / min.

[0097] It should be noted that when the calculated average speed value is different from the speed values ​​divided on the horizontal axis, then if V n-1 <V ave <V n Then the possible value V is n It can also take the value V. n-1 This application does not specifically limit whether to take larger or smaller values.

[0098] For example, with the communication frequency set to 10Hz and the interval length to 3 seconds, 100 speed arrays were collected. The maximum speed of the automotive electronic water pump is 6000 r / min. The horizontal axis is set at intervals of 100 r / min, divided into 61 groups (including 0 r / min), that is, the horizontal axis includes 61 speed values: 0 r / min, 100 r / min, 200 r / min, 300 r / min, 400 r / min...60000 r / min. The vertical axis represents the working time. The average speed value corresponding to each speed array was calculated, resulting in 100 average speed values. These 100 average speed values ​​were then mapped to the respective speed values ​​on the horizontal axis to obtain the working time distribution of the automotive electronic water pump at the 61 speed values: 0 r / min, 100 r / min, 200 r / min, 300 r / min, 400 r / min...60000 r / min. For example, if the calculated average speed is 3000 r / min, then 3 seconds are added to the working time corresponding to 3000 r / min; if the calculated average speed is 3250 r / min, then 3 seconds are added to the working time corresponding to 3300 r / min. Following this method, all the calculated average speeds are mapped to various speed values ​​on the horizontal axis, resulting in the first distribution chart. This first distribution chart reflects the operating time at each speed within the total running time of the automotive electric water pump.

[0099] Next, it is necessary to collect the operating time distribution of the car's electronic water pump under various accelerations, currents, voltages, and power levels.

[0100] Reference Figure 3 , Figure 3 This is a flowchart of the steps for obtaining the second distribution provided in the embodiments of this application; that is, obtaining the working time distribution of the automotive electronic water pump under various accelerations, including but not limited to steps S301 to S303.

[0101] Step S301: Calculate each rotational speed array to obtain the corresponding acceleration array.

[0102] In this embodiment, the rate of change of rotational speed is acceleration. Since multiple rotational speed arrays have been collected in step S201, calculations can be performed on each rotational speed array to obtain multiple acceleration arrays. For example, if 100 rotational speed arrays are collected, 100 corresponding acceleration arrays can be calculated.

[0103] It should be noted that, in this embodiment of the application, multiple acceleration arrays can be obtained by further calculation based on the multiple speed arrays obtained in step S201. Alternatively, multiple speed arrays can be re-acquired based on a set communication frequency and interval duration, and then calculations can be performed on each speed array to obtain the corresponding multiple acceleration arrays.

[0104] Step S302: Calculate the average value of each acceleration array to obtain the average acceleration value corresponding to each acceleration array.

[0105] Similarly, in this embodiment, after calculating multiple acceleration arrays, the average value of each acceleration array is calculated to obtain the average acceleration value corresponding to each acceleration array. For example, if the first acceleration array contains multiple acceleration values, the average value of these multiple acceleration values ​​can be calculated to obtain the average acceleration value of the first acceleration array as R1. If the second acceleration array contains multiple acceleration values, the average value of these multiple acceleration values ​​can be calculated to obtain the average acceleration value of the second acceleration array as R2, and so on, the average acceleration value corresponding to each acceleration array can be calculated.

[0106] For example, the first acceleration array contains 30 acceleration values. Averaging these 30 values ​​yields an average acceleration value of 950 rpm / s for the first acceleration array. The second acceleration array also contains 30 acceleration values. Averaging these 30 values ​​yields an average acceleration value of 2550 rpm / s for the second acceleration array. In this way, the average acceleration value for each acceleration array can be calculated.

[0107] Step S303: Based on the average acceleration and the interval duration, the second distribution is statistically obtained.

[0108] Similarly, since the interval duration t is preset, after calculating the average acceleration value corresponding to each acceleration array, it indicates that the continuous operating time of the car's electric water pump under that acceleration is t, which is one of the working durations of the car's electric water pump under that acceleration. For example, if the interval duration is t seconds, and the calculated average acceleration value corresponding to the first acceleration array is R1, then the working time of the car's electric water pump under acceleration R1 is t seconds. If the calculated average acceleration value corresponding to the second acceleration array is R2, then the working time of the car's electric water pump under acceleration R2 is t seconds. If the calculated average acceleration value corresponding to the third acceleration array is also R1, then the working time of the car's electric water pump under acceleration R1 is added to t seconds, resulting in 2t seconds. In this way, the cumulative working time of the car's electric water pump under each acceleration can be calculated.

[0109] For example, with the communication frequency set to 10Hz and the interval length 3 seconds, the calculated average acceleration value for the first acceleration array is 950 rpm / s. Therefore, the operating time of the car's electric water pump at 950 rpm / s is tentatively set to 3 seconds. The calculated average acceleration value for the second acceleration array is 2550 rpm / s, so the operating time of the car's electric water pump at 2550 rpm / s is also tentatively set to 3 seconds. If the calculated average acceleration value for the third acceleration array is also 950 rpm / s, then the operating time of the car's electric water pump at 950 rpm / s needs to be accumulated by another 3 seconds, tentatively set to 6 seconds. This calculation continues until all acceleration arrays have been calculated.

[0110] In this embodiment, considering that the calculated average acceleration values ​​may not be exactly the same, and that the mechanical wear caused to the automotive electronic water pump is basically the same when the acceleration values ​​are not significantly different (e.g., accelerations of 950 rpm / s and 1000 rpm / s cause essentially the same mechanical wear to the automotive electronic water pump), a constant value analysis of the acceleration values ​​is performed to reduce the computational load. Specifically, a second distribution map is constructed, which is a distribution map of the working time of the automotive electronic water pump under various accelerations. The horizontal axis represents acceleration in rpm / s, and the vertical axis represents working time in hours (H). The horizontal axis can be grouped according to the acceleration design of the automotive electronic water pump. For example, if the rotational speed of the automotive electronic water pump is -2000 rpm / s to 2000 rpm / s, it can be divided into 41 groups (including 0 rpm / s) at 100 rpm / s intervals. The working time distribution of the automotive electronic water pump under these 41 accelerations can then be calculated.

[0111] It should be noted that the communication frequency is set to 10Hz and the interval is 3S. In this case, if the calculated average acceleration value is not one of these 41 acceleration values, for example, if the calculated average acceleration value is 950rpm / s, then the next acceleration value of 1000rpm / s will be taken, that is, 3S will be added to the working time of the acceleration value of 1000rpm / s.

[0112] It should be noted that when the calculated average acceleration value is different from the acceleration values ​​divided in the horizontal axis, then if R n-1 <R ave <R n The possible value is R. n It can also take the value R. n-1 This application does not specifically limit whether to take larger or smaller values.

[0113] For example, with the communication frequency set to 10Hz and the interval duration to 3 seconds, 100 acceleration arrays are calculated from 100 speed arrays. The acceleration of the automotive electronic water pump ranges from -2000rpm / s to 2000rpm / s. The horizontal axis is set at intervals of 100rpm / s, divided into 41 groups (including 0rpm / s), meaning the horizontal axis includes 41 acceleration values: -2000rpm / s, -1900rpm / s, -1800rpm / s, -1700rpm / s...0rpm / s, 100rpm / s...2000rpm / s. The vertical axis represents the operating time. Calculate the average acceleration value for each acceleration array to obtain 100 average acceleration values. Map these 100 average acceleration values ​​to various acceleration values ​​on the horizontal axis to obtain the operating time distribution of the automotive electric water pump at 41 acceleration values: -2000 rpm / s, -1900 rpm / s, -1800 rpm / s, -1700 rpm / s…0 rpm / s, 100 rpm / s…2000 rpm / s. For example, if the calculated average acceleration value is 1000 rpm / s, then the operating time corresponding to 1000 rpm / s is accumulated by 3 seconds; if the calculated average acceleration value is 1050 rpm / s, then the operating time corresponding to 1100 rpm / s is accumulated by 3 seconds. Following this method, map all the calculated average acceleration values ​​to various acceleration values ​​on the horizontal axis to obtain a second distribution chart. This second distribution chart reflects the operating time at each acceleration value within the total operating time of the automotive electric water pump.

[0114] Step S102: Obtain the third distribution, the fourth distribution, and the fifth distribution. The third distribution is the operating time distribution of the automotive electronic water pump under various currents, the fourth distribution is the operating time distribution of the automotive electronic water pump under various voltages, and the fifth distribution is the operating time distribution of the automotive electronic water pump under various power levels.

[0115] Reference Figure 4 , Figure 4 This is a flowchart of the steps for obtaining the third distribution provided in the embodiments of this application; that is, obtaining the operating time distribution of the automotive electronic water pump under various currents, including but not limited to steps S401 to S403.

[0116] Step S401: Based on the preset communication frequency and preset interval duration, the current of the car electronic water pump is collected to obtain multiple current arrays.

[0117] Similarly, after the controller sends the target current signal to the car's electronic water pump, it will simultaneously receive the actual current fed back from the car's electronic water pump.

[0118] For example, if the communication frequency is set to 10Hz and the interval is 3S, the controller will store the 30 current signals in the first 3S sequentially to obtain the first current array, and then store the 30 current signals in the second 3S to obtain the second current array, and so on, to obtain several current arrays.

[0119] Step S402: Calculate the average value of each current array to obtain the average current value corresponding to each current array.

[0120] After storing multiple current arrays, the average value of each current array is calculated to obtain the average current value for each array. For example, if the first current array contains multiple current signals, the average value of the first current array is I1. If the second current array contains multiple current signals, the average value of the second current array is I2, and so on, the average current value for each current array can be calculated.

[0121] For example, the first current array contains 30 current signals. Averaging these 30 signals yields an average current of 7A for the first current array. The second current array also contains 30 current signals. Averaging these 30 signals yields an average current of 15A for the second current array. In this way, the average current for each current array can be calculated.

[0122] Step S403: Based on the average current and the interval duration, the third distribution is statistically obtained. The third distribution is the distribution of the working time of the automotive electronic water pump under various currents.

[0123] Since the interval duration t is preset, after calculating the average current value corresponding to each current array, it can be concluded that the time for the car electronic water pump to continuously operate under this current is t, which is one of the working durations of the car electronic water pump under this current.

[0124] For example, if the communication frequency is set to 10Hz and the interval is 3 seconds, the average current value corresponding to the first current array is calculated to be 6A. Therefore, the operating time of the car's electric water pump at 6A is tentatively set to 3 seconds. If the average current value corresponding to the second current array is calculated to be 15A, the operating time of the car's electric water pump at 15A is tentatively set to 3 seconds. If the average current value corresponding to the third current array is also calculated to be 6A, the operating time of the car's electric water pump at 6A needs to be added by another 3 seconds, tentatively set to 6 seconds. This calculation continues until all current arrays have been calculated.

[0125] In this embodiment, considering that the calculated average current values ​​may not be exactly the same, a constant value analysis is performed on the current values ​​to reduce the computational load. Specifically, a third distribution map is constructed, which is a distribution map of the operating time of the automotive electronic water pump under various currents. The horizontal axis represents current in amperes (A), and the vertical axis represents operating time in hours (H). For example, if the maximum current of the automotive electronic water pump is 50A, it can be divided into 11 groups (including 0A) at 5A intervals. The operating time distribution of the automotive electronic water pump under these 11 currents can then be calculated.

[0126] It should be noted that the communication frequency is set to 10Hz and the interval is 3S. In this case, if the calculated average current value is not one of these 11 current values, for example, if the calculated average current value is 7A, then the next current value of 10A will be taken, that is, 3S will be added to the working time of the current value of 10A.

[0127] It should be noted that when the calculated average current value is different from the current values ​​divided on the horizontal axis, then if I n-1 ave n Then the possible value is I. n It can also take the value I. n-1 This application does not specifically limit whether to take larger or smaller values.

[0128] For example, with the communication frequency set to 10Hz and the interval duration to 3 seconds, 100 current arrays were collected. The maximum current of the automotive electric water pump is 50A. The horizontal axis is set to intervals of 5A, divided into 11 groups (including 0A), that is, the horizontal axis includes 11 current values: 0A, 5A, 10A, 15A...50A. The vertical axis represents the operating time. The average current value corresponding to each current array is calculated, resulting in 100 average current values. These 100 average current values ​​are then mapped to various current values ​​on the horizontal axis to obtain the operating time distribution of the automotive electric water pump under the 11 current values ​​of 0A, 5A, 10A, 15A...50A. For example, if the calculated average current value is 8A, then the operating time corresponding to 10A is accumulated by 3 seconds; if the calculated average current value is 5A, then the operating time corresponding to 5A is accumulated by 3 seconds. In this way, all the calculated average current values ​​are mapped to various current values ​​on the horizontal axis to obtain the third distribution chart. The third distribution chart reflects how much time each current level operated for during the total runtime of the automotive electric water pump.

[0129] Reference Figure 5 , Figure 5 ​​This is a flowchart of the steps for obtaining the fourth distribution provided in the embodiments of this application; that is, obtaining the operating time distribution of the automotive electronic water pump under various voltages, including but not limited to steps S501 to S503.

[0130] Step S501: Based on a preset communication frequency and a preset interval duration, the voltage of the car's electronic water pump is collected to obtain multiple voltage arrays.

[0131] Similarly, after the controller sends the target voltage signal to the car's electronic water pump, it will simultaneously receive the actual voltage fed back from the car's electronic water pump.

[0132] For example, if the communication frequency is set to 10Hz and the interval is 3S, the controller will store 30 voltage signals in the first 3S sequentially to obtain the first voltage array, and then store 30 voltage signals in the second 3S to obtain the second voltage array, and so on, to obtain several voltage arrays.

[0133] Step S502: Calculate the average value of each voltage array to obtain the average voltage value corresponding to each voltage array.

[0134] After storing multiple voltage arrays, the average value of each voltage array is calculated to obtain the average voltage value for each array. For example, if the first voltage array contains multiple voltage signals, the average value of these signals is calculated to obtain the average voltage value of the first voltage array as U1. If the second voltage array contains multiple voltage signals, the average value of these signals is calculated to obtain the average voltage value of the second voltage array as U2, and so on, the average voltage value for each voltage array can be calculated.

[0135] For example, the first voltage array contains 30 voltage signals. Averaging these 30 signals yields an average voltage of 12.3V for the first voltage array. The second voltage array also contains 30 voltage signals. Averaging these 30 signals yields an average voltage of 7.5V for the second voltage array. In this way, the average voltage for each voltage array can be calculated.

[0136] Step S503: Based on the average voltage and the interval duration, the fourth distribution is statistically obtained.

[0137] Since the interval duration t is preset, after calculating the average voltage value corresponding to each voltage array, it can be concluded that the time for the car's electronic water pump to operate continuously under that voltage is t, which is one of the working durations of the car's electronic water pump under that voltage.

[0138] For example, if the communication frequency is set to 10Hz and the interval is 3 seconds, the calculated average voltage of the first voltage array is 11V. Therefore, the operating time of the car's electric water pump at 11V is tentatively set to 3 seconds. If the calculated average voltage of the second voltage array is 5V, the operating time of the car's electric water pump at 5V is tentatively set to 3 seconds. If the calculated average voltage of the third voltage array is also 11V, the operating time of the car's electric water pump at 11V needs to be increased by another 3 seconds, tentatively set to 6 seconds. This calculation continues until all voltage arrays have been calculated.

[0139] In this embodiment, considering that the calculated average voltage values ​​may not be exactly the same, a constant value analysis is performed on the voltage values ​​to reduce the computational load. Specifically, a fourth distribution map is constructed, which is a distribution map of the operating time of the automotive electronic water pump under various voltages. The horizontal axis represents voltage in V, and the vertical axis represents operating time in H. For example, if the highest voltage of the automotive electronic water pump is 16V, it can be divided into 17 groups (including 0V) at 1V intervals. The operating time distribution of the automotive electronic water pump under these 17 voltages can then be calculated.

[0140] It should be noted that the communication frequency is set to 10Hz and the interval is 3S. In this case, if the calculated average voltage is not one of these 17 voltage values, for example, if the calculated average voltage is 12.3V, then the next voltage value of 13V will be taken, that is, 3S will be added to the working time of the voltage value of 13V.

[0141] It should be noted that when the calculated average voltage value is different from the voltage values ​​divided on the horizontal axis, then if U n-1 ave n Then the possible value is U. n It can also take the value U. n-1 This application does not specifically limit whether to take larger or smaller values.

[0142] ​​For example, with the communication frequency set to 10Hz and the interval length to 3 seconds, 100 voltage arrays were collected. The highest voltage of the automotive electric water pump is 16V. The horizontal axis is set to intervals of 1V, divided into 17 groups (including 0V), that is, the horizontal axis includes 17 voltage values: 0V, 1V, 2V, 3V...16V. The vertical axis represents the operating time. The average voltage value corresponding to each voltage array is calculated, resulting in 100 average voltage values. These 100 average voltage values ​​are then mapped to the respective voltage values ​​on the horizontal axis to obtain the operating time distribution of the automotive electric water pump at the 17 voltage values ​​of 0V, 1V, 2V, 3V...16V. For example, if the calculated average voltage value is 7.8V, then the operating time corresponding to 8V is accumulated by 3 seconds; if the calculated average voltage value is 12V, then the operating time corresponding to 12V is accumulated by 3 seconds. In this way, all the calculated average voltage values ​​are mapped to the respective voltage values ​​on the horizontal axis to obtain the fourth distribution chart. The fourth distribution chart reflects how much time each voltage lasted during the total runtime of the automotive electric water pump.

[0143] Reference Figure 6 , Figure 6 This is a flowchart of the steps for obtaining the fifth distribution provided in the embodiments of this application; that is, obtaining the operating time distribution of the automotive electronic water pump at various power levels, including but not limited to steps S601 to S603.

[0144] Step S601: Calculate the power array based on the current array and voltage array.

[0145] In this embodiment of the application, since multiple current arrays and multiple voltage arrays have been collected in steps S401 and S501, multiple power arrays can be calculated based on the current arrays and voltage arrays. For example, if 100 current arrays and 100 voltage arrays are collected, 100 corresponding power arrays can be calculated.

[0146] It should be noted that, in this embodiment of the application, multiple power arrays can be further calculated based on the multiple current arrays obtained in step S401 and the multiple voltage arrays obtained in step S501. Alternatively, multiple current arrays and multiple voltage arrays can be re-acquired based on a set communication frequency and interval duration, and then the multiple power arrays can be calculated to obtain the corresponding multiple power arrays.

[0147] Step S602: Calculate the average power for each power array to obtain the average power value for each power array.

[0148] Similarly, in this embodiment, after calculating multiple power arrays, the average of each power array is calculated to obtain the average power value corresponding to each power array. For example, if the first power array contains multiple power values, the average power value of the first power array can be P1 by calculating the average of these multiple power values. If the second power array contains multiple power values, the average power value of the second power array can be P2 by calculating the average of these multiple power values, and so on, the average power value corresponding to each power array can be calculated.

[0149] For example, the first power array contains 30 power values. Averaging these 30 power values ​​yields an average power value of 65W for the first power array. The second power array also contains 30 power values. Averaging these 30 power values ​​yields an average power value of 23W for the second power array. In this way, the average power value for each power array can be calculated.

[0150] Step S603: Based on the average power and the interval duration, the fifth distribution is statistically obtained.

[0151] Similarly, since the interval duration t is preset, after calculating the average power value corresponding to each power array, it indicates that the continuous operating time of the car's electric water pump at that power is t, which is one of the working durations of the car's electric water pump at that power. For example, if the interval duration is t seconds, and the calculated average power value corresponding to the first power array is P1, then the car's electric water pump operates at power P1 for t seconds. If the calculated average power value corresponding to the second power array is P2, then the car's electric water pump operates at power P2 for t seconds. If the calculated average power value corresponding to the third power array is also P1, then the operating time of the car's electric water pump at power P1 is added to t seconds, resulting in 2t seconds. In this way, the cumulative operating time of the car's electric water pump at each power level can be calculated.

[0152] For example, with the communication frequency set to 10Hz and the interval length 3 seconds, the calculated average power of the first power array is 45W. Therefore, the operating time of the car's electric water pump at 45W is tentatively set to 3 seconds. The calculated average power of the second power array is 78W, so the operating time of the car's electric water pump at 78W is tentatively set to 3 seconds. If the calculated average power of the third power array is also 45W, the operating time of the car's electric water pump at 45W needs to be increased by another 3 seconds, tentatively set to 6 seconds. This calculation continues until all power arrays have been calculated.

[0153] In this embodiment, considering that the calculated average power values ​​may not be exactly the same, and that the mechanical wear caused to the automotive electronic water pump is basically the same when the power values ​​are not significantly different (e.g., 45W and 50W power cause essentially the same mechanical wear to the automotive electronic water pump), a fixed-value analysis of the power values ​​is performed to reduce the computational load. Specifically, a fifth distribution map is constructed, which is a distribution map of the operating time of the automotive electronic water pump at various power levels. The horizontal axis represents power in W, and the vertical axis represents operating time in H. The horizontal axis can be grouped according to the power design of the automotive electronic water pump. For example, if the maximum power of the automotive electronic water pump is 200W, it can be divided into 41 groups (including 0W) with intervals of 5W. The operating time distribution of the automotive electronic water pump at these 41 power levels can then be calculated.

[0154] It should be noted that the communication frequency is set to 10Hz and the interval is 3S. In this case, if the calculated average power is not one of these 41 power values, for example, if the calculated average power is 17W, then the next power value of 20W will be taken, that is, 3S will be added to the working time of the power value of 20W.

[0155] It should be noted that when the calculated average power value is different from the power values ​​divided on the horizontal axis, then if P n-1 <P ave <P n Then the possible value P is... n It can also take the value P. n-1 This application does not specifically limit whether to take larger or smaller values.

[0156] For example, with the communication frequency set to 10Hz and the interval duration to 3 seconds, 100 power arrays are calculated using 100 current arrays and 100 voltage arrays. The maximum power of the automotive electric water pump is 200W. The horizontal axis is set to intervals of 5W, dividing the system into 41 groups (including 0W), meaning the horizontal axis includes 41 power values: 0W, 5W, 10W, 15W, ..., 200W. The vertical axis represents the operating time. The average power value corresponding to each power array is calculated, resulting in 100 average power values. These 100 average power values ​​are then mapped to the respective power values ​​on the horizontal axis to obtain the operating time distribution of the automotive electric water pump under the 41 power values ​​of 0W, 5W, 10W, 15W, ..., 200W. For example, if the calculated average power value is 45W, then the operating time corresponding to 45W is accumulated by 3 seconds; if the calculated average power value is 17W, then the operating time corresponding to 20W is accumulated by 3 seconds. Following this method, all the calculated power averages are mapped to various power values ​​on the horizontal axis, resulting in the fifth distribution chart. This fifth distribution chart reflects the operating time at each power level within the total operating time of the automotive electric water pump.

[0157] Step S103: The wear degree of the automotive electronic water pump is evaluated based on the first distribution, the second distribution, and the fifth distribution to obtain the first evaluation result.

[0158] In this embodiment of the application, after statistically obtaining the operating time distribution of the automotive electronic water pump under various speeds, accelerations, currents, voltages, and power levels, the wear degree of the automotive electronic water pump is further evaluated based on the operating time distribution of the automotive electronic water pump under various speeds, accelerations, and power levels, resulting in a first evaluation result.

[0159] Reference Figure 7 , Figure 7 This application provides a flowchart of steps for evaluating the wear degree of an automotive electronic water pump based on a first distribution, a second distribution, and a fifth distribution to obtain a first evaluation result, including but not limited to steps S701 to S704.

[0160] Step S701: After multiplying and correcting the working time corresponding to each rotation speed in the first distribution, the results are summed to obtain the first wear degree score.

[0161] Step S702: After multiplying and correcting the working time corresponding to each power in the second distribution, the results are summed to obtain the second wear degree score.

[0162] Step S703: After multiplying and correcting the working time corresponding to each power in the fifth distribution, the third wear degree score is obtained by summing the results.

[0163] Step S704: Perform a weighted summation of the first wear level score, the second wear level score, and the third wear level score to obtain the first evaluation result.

[0164] In this embodiment, based on the first distribution map, which is the distribution map of the working time of the automotive electronic water pump at various speeds, the working time corresponding to each speed is first multiplied and corrected. Each speed corresponds to a correction factor. For example, if the working time corresponding to speed value V1 is t1, and its corresponding correction factor is ε1, then the score corresponding to speed value V1 is E1 = V1 * t1 * ε1. The working time corresponding to speed value Vn is tn, and its corresponding correction factor is ε. n The score corresponding to the rotational speed value Vn is E. n =Vn*tn*ε n Then, a summation calculation is performed to obtain the first wear level score corresponding to the first distribution as E. total =∑E1+E2+Λ+E n .

[0165] Similarly, based on the second distribution map, which is the distribution map of the working time of the automotive electric water pump under various accelerations, the working time corresponding to each acceleration is first multiplied and corrected. Each acceleration corresponds to a correction factor. For example, if the working time corresponding to acceleration value R1 is t1, and its corresponding correction factor is λ1, then the score corresponding to acceleration value R1 is... The acceleration value Rn corresponds to a working time tn, and the corresponding correction factor is λ. n The score corresponding to the acceleration value Rn is Then, by summing the results, we obtain the second wear level score corresponding to the second distribution.

[0166] Similarly, based on the fifth distribution chart, which shows the operating time distribution of the automotive electric water pump at various power levels, we first multiply and correct the operating time corresponding to each power level. Each power level corresponds to a correction factor. For example, if the operating time corresponding to power value P1 is t1, and its corresponding correction factor is σ1, then the score corresponding to power value P1 is ρ1 = P1 * t1 * σ1. The operating time corresponding to power value Pn is tn, and its corresponding correction factor is σ. n Then the score corresponding to the power value Pn is ρ. n =Pn*tn*σ nThen, by summing the results, we obtain the third wear level score corresponding to the fifth distribution as ρ. total =∑ρ1+ρ2+Λ+ρ n .

[0167] Then, the first wear level score, the second wear level score, and the third wear level score are weighted and summed to obtain the comprehensive wear level score: In the formula, α1 is the preset weighting coefficient for the first wear level score, α2 is the preset weighting coefficient for the second wear level score, and α3 is the preset weighting coefficient for the third wear level score. This comprehensive wear level score is the first assessment result.

[0168] Step S104: Based on the third and fourth distributions, assess the electrical aging degree of the automotive electronic water pump to obtain the second assessment result.

[0169] Reference Figure 8 , Figure 8 This application provides a flowchart of steps for evaluating the electrical aging degree of an automotive electronic water pump and obtaining a second evaluation result based on a third distribution and the fourth distribution, including but not limited to steps S801 to S803.

[0170] Step S801: After multiplying and correcting the working time corresponding to each current in the third distribution, the results are summed to obtain the first aging degree score.

[0171] Step S802: After multiplying and correcting the voltage and the corresponding working time of each voltage in the fourth distribution, the results are summed to obtain the second aging degree score.

[0172] Step S803: Perform a weighted summation of the first aging score and the second aging score to obtain the second evaluation result.

[0173] In this embodiment, based on the third distribution map, namely the operating time distribution map of the automotive electronic water pump under various currents, the operating time of each current is first multiplied and corrected. Each current corresponds to a correction factor. For example, the operating time corresponding to current value I1 is t1, and its corresponding correction factor is... The score corresponding to the current value I1 is: Current value I n The corresponding working time is tn, and the corresponding correction factor is Then the current value I n The corresponding rating is Then, by summing the results, we obtain the first aging score corresponding to the third distribution.

[0174] Similarly, based on the fourth distribution map, which is the distribution map of the working time of the automotive electronic water pump under various voltages, the working time corresponding to each voltage is first multiplied and corrected. Each voltage corresponds to a correction factor. For example, if the working time corresponding to voltage value U1 is t1, and its corresponding correction factor is η1, then the score corresponding to voltage value U1 is... The voltage value Un corresponds to an operating time of tn, and the corresponding correction factor is η. n The score corresponding to the voltage value Un is Then, by summing the results, we obtain the second aging score corresponding to the fourth distribution.

[0175] Then, the first aging score and the second aging score are weighted and summed to obtain the comprehensive aging score: In the formula, β1 is the preset weighting coefficient for the first aging degree score, and β2 is the preset weighting coefficient for the second aging degree score. This comprehensive aging degree score is the second assessment result.

[0176] Step S105: Based on the first evaluation result and the second evaluation result, predict the lifespan of the automotive electronic water pump.

[0177] Reference Figure 9 , Figure 9 This is a flowchart of the steps for predicting the lifespan of an automotive electronic water pump based on the first evaluation result and the second evaluation result, provided in the embodiments of this application, including but not limited to steps S901 to S905.

[0178] Step S901: Based on the wear tolerance test of the automotive electronic water pump, a first life array is constructed, which includes life levels corresponding to different degrees of wear.

[0179] Step S902: Determine the first lifespan level of the automotive electronic water pump based on the first evaluation results and the first lifespan array;

[0180] Step S903: Based on the electrical aging test of the automotive electronic water pump, a second lifetime array is constructed, which includes lifetime levels corresponding to different aging degrees.

[0181] Step S904: Determine the second lifespan level of the automotive electronic water pump based on the second evaluation results and the second lifespan array;

[0182] Step S905: Based on the first lifespan level and the second lifespan level, the lifespan of the automotive electronic water pump is predicted.

[0183] In this embodiment, a first lifespan array is first constructed based on wear tolerance tests on the automotive electronic water pump. This array includes lifespan levels corresponding to different degrees of wear. For example, the wear tolerance score is divided into 10 levels: 0-10, 11-20, 21-30, 31-40, 41-50, 51-60, 61-70, 71-80, 81-90, and 91-100, corresponding to lifespan levels 1, 2, 3, 4, 5, 6, 7, 8, 9, and 10. A higher wear tolerance score corresponds to a higher lifespan level. Then, the calculated first evaluation result, i.e., the comprehensive wear tolerance score, is compared with the first lifespan array to determine the first lifespan level of the automotive electronic water pump. For example, if the calculated comprehensive wear tolerance score is 88, then its corresponding first lifespan level is level 9.

[0184] Similarly, based on electrical aging tests of automotive electronic water pumps, a second lifespan array is constructed, which includes lifespan levels corresponding to different aging degrees. For example, the aging degree score is divided into 10 levels: 0-10, 11-20, 21-30, 31-40, 41-50, 51-60, 61-70, 71-80, 81-90, and 91-100, corresponding to lifespan levels 1, 2, 3, 4, 5, 6, 7, 8, 9, and 10. The higher the aging degree score, the higher the corresponding lifespan level. Then, the calculated second evaluation result, i.e., the comprehensive aging degree score, is compared with the second lifespan array to determine the second lifespan level of the automotive electronic water pump. For example, if the calculated comprehensive wear degree score is 67, its corresponding second lifespan level is level 7.

[0185] Finally, the lifespan of the automotive electronic water pump is predicted by combining the first lifespan level and the second lifespan level.

[0186] It's important to note that a higher wear rating can correspond to a higher or lower lifespan grade. For example, a higher lifespan grade can mean a shorter remaining lifespan, or vice versa. If a higher wear rating corresponds to a lower lifespan grade, then the remaining lifespan is shorter. Conversely, if a higher wear rating corresponds to a higher lifespan grade, then the remaining lifespan is shorter. Similarly, a higher aging rating can also correspond to a higher or lower lifespan grade. For example, a higher aging rating corresponds to a lower lifespan grade, then the remaining lifespan is shorter. Conversely, if a higher aging rating corresponds to a higher lifespan grade, then the remaining lifespan is shorter.

[0187] Reference Figure 10 , Figure 10 This is a flowchart of the steps performed after obtaining the first evaluation result and the second evaluation result, provided in the embodiments of this application, including but not limited to steps S1001 to S1005.

[0188] Step S1001: Calculate the performance correction factor based on the first evaluation result;

[0189] Step S1002: Correct the performance parameters of the automotive electronic water pump according to the performance correction factor. The performance parameters include flow rate, head, power, efficiency, speed, voltage and current.

[0190] Step S1003: Based on the second evaluation results, calculate the current correction factor and the voltage correction factor;

[0191] Step S1004: Correct the overcurrent threshold and stall threshold of the automotive electronic water pump according to the current correction factor.

[0192] Step S1005: Correct the overvoltage threshold and undervoltage threshold of the automotive electronic water pump according to the voltage correction factor.

[0193] In this embodiment, after calculating the comprehensive wear score of the automotive electronic water pump based on the operating time distribution of the pump at various speeds, accelerations, and power levels, a performance correction factor can be calculated accordingly. Then, the performance parameters of the automotive electronic water pump are corrected based on the calculated performance correction factor. These performance parameters include flow rate, head, power, efficiency, speed, voltage, and current. For example, the performance correction factor θ is sent to the controller of the automotive electronic water pump. When the engine outputs a speed requirement of Nr / min for the automotive electronic water pump, the new speed requirement will be calculated as: N new =θ*N. And the new speed requirement N new As a final requirement, it is issued to control the operation of the car's electronic water pump.

[0194] By modifying the performance of the car's electronic water pump, it is possible to avoid insufficient flow leading to prolonged high engine coolant temperature and other adverse effects when the pump's performance declines towards the end of its lifespan.

[0195] Similarly, after calculating the overall aging score of the automotive electric water pump based on the operating time distribution under various currents and voltages, a current correction factor and a voltage correction factor can be calculated accordingly. Then, based on the current correction factor, the overcurrent threshold and stall threshold of the automotive electric water pump are corrected; based on the voltage correction factor, the overvoltage threshold and undervoltage threshold of the automotive electric water pump are corrected.

[0196] Specifically, the original design overpressure threshold of the automotive electronic water pump was U. H The undervoltage threshold is U L When the actual voltage U a Below the undervoltage threshold U L When the actual voltage U is reported, an undervoltage fault is detected. a Above the overvoltage threshold U H At that time, an overvoltage fault was reported. Similarly, the original design overcurrent threshold was I. H When the actual current I a Above the overcurrent threshold I H When this occurs, an overcurrent fault is reported. In addition, there are also stall faults and dry-running faults. When diagnosing these two types of faults, the automotive electric water pump is generally diagnosed using current; for example, the actual current I when the automotive electric water pump operates at a specific speed n is measured. a Higher than the corresponding stall threshold I lock(n) If this occurs, a stall fault will be reported. The safety boundary thresholds need to be corrected based on the calculated current correction factor δ and voltage correction factor γ. The new overvoltage threshold is U. H-new =U H *γ, the new undervoltage threshold is U L-new =U L *γ, the new overcurrent threshold is I H-new =I H *δ, the new stall threshold is I lock(n)-new =I lock(n) *δ.

[0197] By adjusting the threshold, the automotive electric water pump can be more rigorously protected, avoiding damage to aging electrical components caused by excessive voltage and current, thus extending the life of the automotive electric water pump and preventing other adverse phenomena such as engine cylinder scoring due to sudden failure of the automotive electric water pump.

[0198] In this embodiment, the frequency of occurrence of each fault type of the automotive electronic water pump under various durations will be statistically analyzed to obtain a sixth distribution. Common fault types of automotive electronic water pumps include overvoltage faults, undervoltage faults, overcurrent faults, dry running faults, and stalled faults. A three-dimensional sixth distribution diagram is constructed, where the X-axis represents the fault type. The fault type depends on the number of diagnostic faults designed for the automotive electronic water pump. For example, if there are 5 basic faults, there are 5 fault types, with each of the five dimensions corresponding to one of the 5 faults. The Z-axis represents the duration of the fault, which is the time from the occurrence of the fault to its repair, or the time from the occurrence of the fault to its cessation of operation due to irreparable damage. The Y-axis represents the frequency of occurrence of the fault type under the corresponding duration. For example, in the diagnostic logic, the longest duration of any fault is 2 minutes. After 2 minutes, the electronic water pump will either be repaired or will actively stop working. In this case, the duration is designed based on 2 minutes, with 5-second intervals, divided into 25 groups. When the car's electric water pump is working, if the internal diagnostics report a specific fault, a timer will start and continue until the fault is actively repaired, the fault code disappears, or the car's electric water pump stops operating internally. This allows you to determine the duration of a particular fault.

[0199] For example, in the constructed sixth distribution map, the X-axis represents five fault types: overvoltage fault, undervoltage fault, overcurrent fault, dry running fault, and stall fault. The Z-axis represents the duration of the fault, with intervals of 5 seconds, including 25 sets of duration values: 0 seconds, 5 seconds, 10 seconds, 15 seconds, ..., 120 seconds. The Y-axis represents the frequency of fault occurrence. When the automotive electric water pump experiences a dry running fault that lasts for 7 seconds, the frequency of the fault at the X-axis (dry running fault) and Z-axis (10 seconds) is increased by 1. When the automotive electric water pump experiences an overcurrent fault that lasts for 13 seconds, the frequency of the fault at the X-axis (overcurrent fault) and Z-axis (15 seconds) is increased by 1. In this way, the statistically obtained sixth distribution map reflects the frequency of occurrence of each fault type of the automotive electric water pump at each duration.

[0200] It should be noted that when the duration of a fault is not one of these 25 duration values, for example, if the duration is 7 seconds, then the value after the duration value, 10 seconds, is taken, that is, the frequency of the corresponding fault occurring in 10-second durations is incremented by 1.

[0201] It should be noted that when the duration of the fault does not match the duration value defined in the Z-coordinate, then if T... n-1 <T ave <T n Then the possible value is T. n It can also take the value T. n-1 This application does not specifically limit whether to take larger or smaller values.

[0202] In this embodiment, the frequency of fault occurrence also affects the lifespan of the automotive electric water pump. For example, repeated faults will shorten the lifespan of the automotive electric water pump. Simultaneously, if a certain fault recurs, it can be considered that the automotive electric water pump is damaged and needs to be replaced. Therefore, the sixth distribution chart can be used as a reference to further refine the predicted lifespan of the automotive electric water pump. For instance, although the predicted lifespan level of the automotive electric water pump is relatively high based on the comprehensive wear and aging score, meaning the remaining lifespan of the automotive electric water pump is relatively long, if the sixth distribution chart shows that the automotive electric water pump repeatedly experiences overcurrent faults, then the previously predicted lifespan of the automotive electric water pump needs to be appropriately revised.

[0203] Similarly, in this embodiment, based on the sixth distribution map, the duration and frequency of each type of fault are multiplied and then summed to obtain a risk score. This score is then compared with a pre-designed risk score and risk level correspondence table to determine the risk level of the automotive electronic water pump in the current state. For example, the pre-designed risk scores are divided into five groups: 0-2, 2-4, 4-6, 6-8, and 8-10, corresponding to risk levels of 0, 1, 2, 3, and 4, respectively. When the calculated risk score is 2.3, the corresponding risk level is determined to be level 1.

[0204] It should be noted that the risk level in this application embodiment can be defined according to the actual situation. For example, when the risk level is 0, it is considered that there is no additional risk and no warning is given. When the risk level is 1, it is considered to have low risk; that is, a fault code has already appeared and may reappear. The overall powertrain system may not report a fault code at this time, but the instrument panel will still remind the user to "pay attention to the recent instrument panel fault lights" to see if the fault will recur. When the risk level is 2, it is considered to have medium risk; that is, the frequency of faults is relatively high, and there may be an abnormality in the system. The overall powertrain system may not report a fault code at this time, but the instrument panel will still remind the user to "pay attention to abnormal situations during driving" to see if it is caused by operating conditions, user habits, etc. When the risk level is 3, it is considered to have high risk; that is, the frequency of faults is too high, and there is a significant abnormality. The overall powertrain system may not report a fault code at this time, but the instrument panel will still remind the user to "go to the nearest 4S shop for inspection as soon as possible." When the risk level is 4, it is considered that the car's electronic water pump should no longer be used to avoid causing other accidents.

[0205] In this embodiment, the collected first, second, third, fourth, and fifth distributions, along with fault information, can be sent to a cloud server. This allows for further statistical analysis, organization, and processing of this information in the background, based on a big data platform. Simultaneously, the usage of automotive electronic water pumps by all users can be analyzed to obtain more accurate user operating conditions. This data can guide the design of next-generation products, monitor quality risks in the market, proactively address batch quality issues, and facilitate timely recalls to minimize losses, while also protecting user rights.

[0206] Please see Figure 11 This application embodiment also provides a life prediction device 110 for an automotive electronic water pump, which can implement the above-described life prediction method for an automotive electronic water pump. The device includes:

[0207] The first acquisition module 1101 is used to acquire a first distribution and a second distribution. The first distribution is the working time distribution of the automotive electronic water pump at various speeds, and the second distribution is the working time distribution of the automotive electronic water pump at various accelerations.

[0208] The second acquisition module 1102 is used to acquire the third distribution, the fourth distribution and the fifth distribution. The third distribution is the operating time distribution of the automotive electronic water pump under various currents, the fourth distribution is the operating time distribution of the automotive electronic water pump under various voltages, and the fifth distribution is the operating time distribution of the automotive electronic water pump under various powers.

[0209] The first evaluation module 1103 is used to evaluate the wear degree of the automotive electronic water pump based on the first distribution, the second distribution and the fifth distribution, and obtain the first evaluation result;

[0210] The second evaluation module 1104 is used to evaluate the electrical aging degree of the automotive electronic water pump based on the third and fourth distributions, and obtain the second evaluation result.

[0211] The prediction module 1105 is used to predict the lifespan of the automotive electric water pump based on the first evaluation result and the second evaluation result.

[0212] The specific implementation of the life prediction device for the automotive electronic water pump is basically the same as the specific embodiment of the life prediction method for the automotive electronic water pump described above, and will not be repeated here.

[0213] This application also provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the aforementioned method for predicting the lifespan of an automotive electronic water pump. This electronic device can be any smart terminal, including tablet computers, in-vehicle computers, etc.

[0214] Please see Figure 12 , Figure 12 The hardware structure of an electronic device according to another embodiment is illustrated. The electronic device includes:

[0215] The processor 1201 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this application.

[0216] The memory 1202 can be implemented as a read-only memory (ROM), static storage device, dynamic storage device, or random access memory (RAM). The memory 1202 can store the operating system and other application programs. When the technical solutions provided in the embodiments of this specification are implemented through software or firmware, the relevant program code is stored in the memory 1202 and is called and executed by the processor 1201 to execute the life prediction method for the automotive electronic water pump of this application embodiment.

[0217] The input / output interface 1203 is used to implement information input and output;

[0218] The communication interface 1204 is used to enable communication and interaction between this device and other devices. Communication can be achieved through wired means (such as USB, network cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.).

[0219] Bus 1205 transmits information between various components of the device (e.g., processor 1201, memory 1202, input / output interface 1203, and communication interface 1204);

[0220] The processor 1201, memory 1202, input / output interface 1203 and communication interface 1204 are connected to each other within the device via bus 1205.

[0221] The embodiments described in this application are for the purpose of more clearly illustrating the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions provided by the embodiments of this application. As those skilled in the art will know, with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by the embodiments of this application are also applicable to similar technical problems.

[0222] Those skilled in the art will understand that the technical solutions shown in the figures do not constitute a limitation on the embodiments of this application, and may include more or fewer steps than shown, or combine certain steps, or different steps.

[0223] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0224] Those skilled in the art will understand that all or some of the steps in the methods disclosed above, as well as the functional modules / units in the systems and devices, can be implemented as software, firmware, hardware, or suitable combinations thereof.

[0225] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0226] It should be understood that in this application, "at least one (item)" means one or more, and "more than" means two or more. "And / or" is used to describe the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one (item) of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one (item) of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0227] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of the units described above is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0228] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0229] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0230] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes multiple instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing programs, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0231] The preferred embodiments of the present application have been described above with reference to the accompanying drawings, but this does not limit the scope of the claims of the present application. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and substance of the embodiments of the present application shall be within the scope of the claims of the present application.

Claims

1. A method for predicting the lifespan of an automotive electronic water pump, characterized in that, The method includes: Obtain a first distribution and a second distribution, wherein the first distribution is the operating time distribution of the automotive electronic water pump at various speeds, and the second distribution is the operating time distribution of the automotive electronic water pump at various accelerations; Obtain a third distribution, a fourth distribution, and a fifth distribution. The third distribution is the operating time distribution of the automotive electronic water pump under various currents, the fourth distribution is the operating time distribution of the automotive electronic water pump under various voltages, and the fifth distribution is the operating time distribution of the automotive electronic water pump under various power levels. The wear degree of the automotive electronic water pump is evaluated based on the first distribution, the second distribution, and the fifth distribution to obtain a first evaluation result; Based on the third and fourth distributions, the electrical aging degree of the automotive electronic water pump is evaluated to obtain a second evaluation result; Based on the first evaluation result and the second evaluation result, the lifespan of the automotive electronic water pump is predicted; The frequency of occurrence of each fault type of the automotive electronic water pump under each duration was statistically analyzed to obtain the sixth distribution; Based on the sixth distribution, the predicted lifespan of the automotive electronic water pump is corrected; Based on the sixth distribution, the failure risk level of the automotive electronic water pump is assessed.

2. The method according to claim 1, characterized in that, Obtaining the first distribution and the second distribution includes: Based on a preset communication frequency and a preset interval, the rotational speed of the automotive electronic water pump is collected to obtain multiple rotational speed arrays, which include multiple rotational speed values ​​collected within the interval. The average speed of each of the speed arrays is calculated to obtain the average speed of each speed array. The first distribution is obtained by statistical analysis based on the average rotational speed and the interval duration. Calculate the corresponding acceleration array for each of the aforementioned rotational speed arrays; The average value of acceleration is obtained by averaging each of the acceleration arrays. The second distribution is obtained statistically based on the average acceleration and the interval duration.

3. The method according to claim 1, characterized in that, The acquisition of the third, fourth, and fifth distributions includes: Based on a preset communication frequency and a preset interval duration, the current and voltage of the automotive electronic water pump are collected to obtain multiple current arrays and multiple voltage arrays. The current arrays include multiple current values ​​collected within the interval duration, and the voltage arrays include multiple voltage values ​​collected within the interval duration. The average value of the current is obtained by averaging each current array; The third distribution is obtained statistically based on the average current and the interval duration; The average value of each voltage array is obtained by averaging the voltages of each voltage array. The fourth distribution is obtained statistically based on the average voltage and the interval duration. The power array is calculated based on the current array and the voltage array; The average power value corresponding to each power array is obtained by averaging the power arrays. The fifth distribution is obtained statistically based on the average power and the interval duration.

4. The method according to claim 1, characterized in that, The assessment of the wear degree of the automotive electronic water pump based on the first distribution, the second distribution, and the fifth distribution to obtain a first assessment result includes: After multiplying and correcting the working time corresponding to each rotation speed in the first distribution, the first wear degree score is obtained by summing the results. After multiplying and correcting each acceleration in the second distribution with the corresponding working time, the results are summed to obtain the second wear degree score. After multiplying and correcting the power and the corresponding working time of each power in the fifth distribution, the third wear degree score is obtained by summing the results. The first wear level score, the second wear level score, and the third wear level score are weighted and summed to obtain the first evaluation result.

5. The method according to claim 1, characterized in that, The assessment of the electrical aging degree of the automotive electronic water pump based on the third and fourth distributions yields a second assessment result, including: After multiplying and correcting the current and the corresponding working time of each current in the third distribution, the summation is performed to obtain the first aging degree score. After multiplying and correcting the voltage and the corresponding working time of each voltage in the fourth distribution, the summation is performed to obtain the second aging degree score; The first aging score and the second aging score are weighted and summed to obtain the second evaluation result.

6. The method according to claim 1, characterized in that, The step of predicting the lifespan of the automotive electronic water pump based on the first evaluation result and the second evaluation result includes: Based on the wear tolerance test of the automotive electronic water pump, a first lifespan array is constructed, which includes lifespan levels corresponding to different degrees of wear. Based on the first evaluation results and the first lifespan array, the first lifespan level of the automotive electronic water pump is determined; Based on the electrical aging test of the automotive electronic water pump, a second lifespan array is constructed, which includes lifespan levels corresponding to different degrees of aging. Based on the second evaluation results and the second lifespan array, the second lifespan level of the automotive electronic water pump is determined; The lifespan of the automotive electronic water pump is predicted based on the first lifespan level and the second lifespan level.

7. The method according to claim 1, characterized in that, After obtaining the first evaluation result and the second evaluation result, the method further includes: Based on the first evaluation result, the performance correction factor is calculated; The performance parameters of the automotive electronic water pump are corrected according to the performance correction factor. The performance parameters include flow rate, head, power, efficiency, speed, voltage, and current. Based on the second evaluation result, the current correction factor and voltage correction factor are calculated; The overcurrent threshold and stall threshold of the automotive electronic water pump are corrected according to the current correction factor. The overvoltage threshold and undervoltage threshold of the automotive electronic water pump are corrected according to the voltage correction factor.

8. A lifespan prediction device for an automotive electronic water pump, characterized in that, The device includes: The first acquisition module is used to acquire a first distribution and a second distribution, wherein the first distribution is the operating time distribution of the automotive electronic water pump at various speeds, and the second distribution is the operating time distribution of the automotive electronic water pump at various accelerations. The second acquisition module is used to acquire the third distribution, the fourth distribution, and the fifth distribution. The third distribution is the operating time distribution of the automotive electronic water pump under various currents, the fourth distribution is the operating time distribution of the automotive electronic water pump under various voltages, and the fifth distribution is the operating time distribution of the automotive electronic water pump under various power levels. The first evaluation module is used to evaluate the wear degree of the automotive electronic water pump based on the first distribution, the second distribution, and the fifth distribution, and obtain a first evaluation result; The second evaluation module is used to evaluate the electrical aging degree of the automotive electronic water pump based on the third distribution and the fourth distribution, and obtain a second evaluation result; A prediction module is used to predict the lifespan of the automotive electronic water pump based on the first evaluation result and the second evaluation result. The device is also used for: The frequency of occurrence of each fault type of the automotive electronic water pump under each duration was statistically analyzed to obtain the sixth distribution; Based on the sixth distribution, the predicted lifespan of the automotive electronic water pump is corrected; Based on the sixth distribution, the failure risk level of the automotive electronic water pump is assessed.

9. An electronic device, characterized in that, The electronic device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the method according to any one of claims 1 to 7.

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