Engine belt life prediction method, device, equipment and storage medium

Abstract

The present invention discloses a method, device, equipment and storage medium for predicting the life of an engine belt, and belongs to the field of vehicle maintenance technology. The method obtains the fatigue damage value of the current trip through the vehicle operating parameters; obtains the damage history cumulative value based on the fatigue damage value; and obtains the belt life prediction result based on the damage history cumulative value. The method analyzes the parameters such as engine speed, torque, ambient temperature and other parameters in the vehicle operating parameters in real time, combines the damage coefficient under specific conditions, accurately calculates the damage suffered by the belt under different working conditions and accumulates it to obtain the belt damage in each trip, combines the historical damage value to predict the remaining life of the belt, and generates corresponding prompt information, thereby avoiding the waste caused by premature replacement, and also preventing belt damage caused by untimely replacement, which helps to reduce maintenance costs and operating expenses.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle maintenance, and in particular to an engine belt life prediction method, device, equipment and storage medium. Background Art

[0002] With the rapid development of the global automotive industry, automobiles have become an indispensable means of transportation in modern society. Vehicle reliability and maintenance costs remain a key concern for automakers and users. The engine, the heart of the vehicle, and the stability of its accessory systems are directly related to the performance and lifespan of the vehicle. The engine belt, a critical transmission component, can suffer from wear and failure, potentially leading to reduced engine performance or even serious failure. Therefore, research on engine belt maintenance and replacement strategies is of great significance.

[0003] Traditional belt maintenance relies on regular inspection and replacement, a method limited by the maintenance cycle and the professional level of maintenance personnel. In addition, different drivers have different driving habits, which directly affect the extent of belt damage. For example, aggressive driving habits, such as frequent sudden acceleration and deceleration, will cause rapid changes in engine load. Such rapid changes will increase belt stress and accelerate its wear. Therefore, belt life prediction methods based on real-time operating parameters remain a challenge in the field of automotive maintenance technology.

[0004] Therefore, how to accurately calculate and predict the remaining service life of the engine belt based on the real-time vehicle operating conditions has become a technical problem to be solved in this field. Summary of the Invention

[0005] The main purpose of the present invention is to provide an engine belt life prediction method, device, equipment and storage medium, aiming to solve the technical problem of how to accurately calculate and predict the remaining service life of the engine belt based on the real-time vehicle operating conditions.

[0006] To achieve the above object, the present invention provides a method for predicting the life of an engine belt, the method comprising:

[0007] According to the vehicle operating parameters, the fatigue damage value of the current trip is obtained;

[0008] Obtaining a damage history cumulative value according to the fatigue damage value;

[0009] A belt life prediction result is obtained based on the damage history accumulated value.

[0010] Optionally, obtaining the fatigue damage value of the current trip according to the vehicle operating parameters includes:

[0011] Obtaining a belt damage value in a steady-state operation phase according to the vehicle operating parameters;

[0012] Obtaining a belt damage value in a transient operation phase according to a vehicle startup mode and the vehicle operating parameters;

[0013] The belt damage value in the current stroke is obtained according to the belt damage value in the startup phase and the belt damage value in the steady-state operation phase.

[0014] Optionally, obtaining the belt damage value in the steady-state operation phase according to the vehicle operating parameters includes:

[0015] Obtaining engine speed and engine torque according to the vehicle operating parameters;

[0016] Obtaining a real-time belt temperature according to the engine torque, engine speed, and real-time ambient temperature;

[0017] The belt damage value in the steady-state operation phase is obtained according to the real-time belt temperature, engine speed and steady-state damage coefficient.

[0018] Optionally, obtaining the belt damage value in the transient operation phase according to the vehicle startup mode and the vehicle operating parameters includes:

[0019] determining a transient damage coefficient in a transient operation phase according to the vehicle startup mode;

[0020] According to the vehicle operating parameters, the starting speed and starting torque in the transient operation phase are obtained;

[0021] The belt damage value in the transient operation stage is obtained according to the starting speed, starting torque and transient damage coefficient.

[0022] Optionally, determining a transient damage coefficient in a transient operation phase according to the vehicle startup mode includes:

[0023] When the vehicle starting mode is a hybrid starting mode, determining the fatigue damage coefficient in the transient operation stage as a first damage coefficient;

[0024] When the vehicle starting mode is a drive motor starting mode, the fatigue damage coefficient in the transient operation stage is determined to be a second damage coefficient, wherein the second damage coefficient is greater than the first damage coefficient.

[0025] Optionally, obtaining a belt life prediction result based on the damage history accumulated value includes:

[0026] When the damage history cumulative value is greater than the first cumulative threshold and less than the second cumulative threshold, it is determined that the current remaining service life of the belt is less than the first usage threshold;

[0027] When the damage history cumulative value is greater than a second cumulative threshold, it is determined that the current remaining service life of the belt is less than a second usage threshold, wherein the first usage threshold is greater than the second usage threshold.

[0028] Optionally, after obtaining the belt life prediction result based on the damage history accumulated value, the method further includes:

[0029] When it is determined that the remaining service life of the current belt is less than the first usage threshold, a belt life reminder message is generated to remind the user to replace the belt in time;

[0030] When it is determined that the remaining service life of the current belt is less than the second usage threshold, a belt life warning message is generated, and the vehicle operating parameters are restricted until the belt of the current vehicle is replaced.

[0031] Furthermore, to achieve the above-mentioned object, the present invention provides an engine belt life prediction device, the engine belt life prediction device comprising:

[0032] Fatigue damage calculation module, used to obtain the fatigue damage value of the current trip based on vehicle operating parameters;

[0033] The fatigue damage calculation module is further configured to obtain a damage history cumulative value based on the fatigue damage value;

[0034] The belt life prediction module is used to obtain the belt life prediction result according to the damage history accumulated value.

[0035] In addition, to achieve the above-mentioned purpose, the present invention provides an engine belt life prediction device, which includes: a memory, a processor, and an engine belt life prediction program stored on the memory and executable on the processor, wherein the engine belt life prediction program is configured to implement the steps of the engine belt life prediction method.

[0036] In addition, to achieve the above-mentioned purpose, the present invention provides a storage medium, on which an engine belt life prediction program is stored. When the engine belt life prediction program is executed by a processor, the steps of the engine belt life prediction method are implemented.

[0037] The present invention analyzes vehicle operating parameters such as engine speed, torque, ambient temperature in real time, and combines the damage coefficient under specific conditions to accurately calculate the damage suffered by the belt under different working conditions and accumulate it to obtain the belt damage in each trip. The present invention combines historical damage values ​​to predict the remaining life of the belt and generates corresponding prompt information, thus avoiding waste caused by premature replacement and preventing belt damage caused by untimely replacement, which helps to reduce maintenance costs and operating expenses. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0039] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0040] Figure 1 This is a flow chart of the first embodiment of the engine belt life prediction method of the present application;

[0041] Figure 2 This is a flow chart of the second embodiment of the engine belt life prediction method of the present application;

[0042] Figure 3 This is a schematic diagram of the functional modules of the engine belt life prediction device of this application;

[0043] Figure 4 It is a structural diagram of the terminal device of the hardware operating environment involved in the embodiment of the present application.

[0044] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0045] It should be understood that the specific embodiments described herein are merely used to explain the technical solutions of the present application and are not intended to limit the present application.

[0046] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0047] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication, and program execution functions, such as a tablet computer, personal computer, mobile phone, etc., or an electronic device capable of performing the above functions, such as an engine belt life prediction device. The following uses the engine belt life prediction device as an example to illustrate this embodiment and the following embodiments.

[0048] The present invention provides a method for predicting the life of an engine belt. Figure 1 , Figure 1 This is a flowchart of the first embodiment of the present application.

[0049] In this embodiment, the engine belt life prediction method includes:

[0050] Step S10: Obtaining the fatigue damage value of the current trip according to the vehicle operating parameters.

[0051] It should be noted that the belt, as a transmission element in the drive system, is responsible for transmitting power from a rotating source to other components that require power. The rotating source here is not limited to the engine or the drive motor. In a vehicle with a single drive mode, the belt may be subjected to stress generated by the drive motor or directly by the engine. In some hybrid vehicles, the belt may be subjected to stress transmitted by two power sources at the same time. Due to the different types of power sources, the instantaneous torque it is subjected to during the startup phase is different. For example, during the vehicle startup phase, the engine speed is in a linear rising state, and the instantaneous torque it generates is small, and the instantaneous stress generated on the belt is also small. For the drive motor, due to its electromagnetic characteristics, the motor will instantly generate a huge driving torque during the startup phase, and the corresponding belt will be subjected to greater stress, and the damage it causes is smaller than the damage during engine startup.

[0052] It is understandable that for any vehicle, its travel can be divided into three stages according to the working conditions of the belt, namely the starting stage, the steady-state operation stage, and the braking stage. In the starting stage, the belt goes from loose to tight. At this time, the instantaneous deformation of the belt is the largest, and even a small amount of slippage will occur. The damage corresponding to this stage is significantly larger than that in the steady-state operation stage and needs to be calculated separately. On the other hand, in the steady-state operation stage, since the stress on the belt is proportional to the torque transmitted by the power source, the damage caused to the belt in the steady-state operation stage is mainly related to the number of belt rotations, the transmitted torque received, and the temperature of the belt; for the braking stage, since the power source generally weakens or even stops outputting power in the braking stage, the belt only follows the inertial motion of the wheel at this time. The damage caused in this stage can be ignored. Therefore, the fatigue damage value of each stroke only needs to calculate the damage values ​​of the starting stage and the steady-state operation stage.

[0053] It should be understood that the main factors affecting the life of the belt include the stress it is subjected to, the number of revolutions when subjected to stress, and the belt temperature. These data correspond to the torque transmitted by the power source and the transmission speed in the vehicle operating parameters. On the other hand, the temperature of the belt is related to both the transmitted torque and the ambient temperature.

[0054] Step S20: Obtaining a damage history accumulation value according to the fatigue damage value.

[0055] It should be noted that the fatigue damage value obtained in the above steps is only the fatigue damage value under a single stroke, and the current real-time life of the belt needs to be combined with its historical damage value recorded locally to obtain the cumulative result of the damage value.

[0056] It is understandable that each time the vehicle starts and stops running, the vehicle will individually calculate the belt damage value of this trip and accumulate it based on historical data. The accumulated historical damage value and predicted life of the belt can be displayed on the vehicle's user interface, allowing the driver to understand the status of the belt in real time.

[0057] Step S30: Obtaining a belt life prediction result based on the damage history accumulated value.

[0058] It should be noted that since the determination of the damage value is usually based on experimental tests on materials or components, such as fatigue tests, these tests provide cycle life data of different belt materials under different stress levels. Therefore, in this embodiment, the cumulative damage history value and its calculation mode are not standard physical quantity calculation methods, but are calculated in the form of percentages using damage coefficients at different stages. For example, assuming that a belt has just reached the preset belt life, its cumulative damage history value should be 100%, that is, 1. Correspondingly, assuming that 25% of the service life is remaining, the corresponding cumulative value should be 0.75. The advantage of this is that users can feel the remaining service life of the belt more clearly and intuitively.

[0059] In one embodiment, the belt life prediction result is obtained based on the cumulative damage history value, including: when the cumulative damage history value is greater than a first cumulative threshold and less than a second cumulative threshold, it is judged that the current remaining service life of the belt is less than a first usage threshold; when the cumulative damage history value is greater than the second cumulative threshold, it is judged that the current remaining service life of the belt is less than the second usage threshold.

[0060] It should be noted that, combined with the example in the previous steps, the first cumulative threshold here is 0.75, and the second cumulative threshold is 0.95. Since the belt can still run for a period of time when the damage value is between 0.75 and 0.95, the specific value of this time is calibrated according to the service life given by the current model of the belt. If the rated service life is 5000 hours, the current vehicle can be used for at least 250 hours before the damage value reaches 0.95. Under normal use, the belt can maintain the power system operation for at least one month. Therefore, at this stage, it is only necessary to remind the customer that the current belt is at the end of the preset service life. After receiving the prompt message on the display interface, the customer can go to the maintenance site for replacement. When the damage value reaches 0.95 or above, the belt may break at any time. At this time, the system will enter an emergency state. Not only will a more eye-catching warning message be displayed on the display interface, but further measures may need to be taken to ensure safety.

[0061] It is understandable that when the damage value reaches above 0.95, the system may automatically limit the vehicle's performance, such as reducing engine output power, reducing acceleration capability, or limiting the maximum speed, to reduce the pressure on the belt. On the other hand, due to the physical characteristics of the drive motor, the motor start-up may be disabled when the belt damage value is high to prevent the high torque at motor startup from directly exceeding the stress limit of the belt.

[0062] It should be understood that the system will prompt the driver to avoid aggressive driving and excessive loads before the belt is replaced to reduce further damage to the belt. In some cases, the vehicle may have a backup mode that allows for the temporary use of alternative power transmission paths in the event of severe belt damage, allowing safe driving to the repair site. Furthermore, the specific values ​​mentioned in the above steps are for illustrative purposes only and are not intended to be limiting.

[0063] In one embodiment, after obtaining the belt life prediction result based on the cumulative value of the damage history, it also includes: when it is determined that the current remaining service life of the belt is less than a first usage threshold, generating a belt life reminder message to remind the user to replace the belt in time; when it is determined that the current remaining service life of the belt is less than a second usage threshold, generating a belt life warning message and limiting the vehicle operating parameters until the current vehicle completes the belt replacement.

[0064] This embodiment provides an engine belt life prediction method. This embodiment first obtains the fatigue damage value of the current trip based on the vehicle operating parameters; obtains the damage history cumulative value based on the fatigue damage value; and obtains the belt life prediction result based on the damage history cumulative value.

[0065] In summary, this application analyzes vehicle operating parameters and cumulative damage values ​​in real time, utilizing scientifically defined cumulative thresholds for condition assessment, and provides users with intuitive belt life predictions and maintenance prompts. This approach not only improves vehicle reliability and safety, while optimizing maintenance costs, but also significantly enhances the user experience through intelligent monitoring and early warning systems, promotes condition-based preventive maintenance practices, and demonstrates high adaptability and technological foresight.

[0066] Reference Figure 2 , Figure 2 This is a flow chart of the second embodiment of the engine belt life prediction method of the present application. Based on the above-mentioned first embodiment, the second embodiment of the engine belt life prediction method of the present application is proposed.

[0067] In this embodiment, step S10 includes:

[0068] Step S101: obtaining a belt damage value in a steady-state operation phase according to the vehicle operation parameters.

[0069] It should be noted that the vehicle operating parameters here include but are not limited to the real-time torque and speed of the engine, the torque and speed of the drive motor, and the real-time ambient temperature.

[0070] It can be understood that under steady-state conditions, the life of the belt is mainly affected by the belt temperature, tension and belt speed. Therefore, the speed of the power source will directly affect the speed and tension of the belt. The belt damage value under this working condition can be converted into a relationship between the belt temperature and the engine speed.

[0071] In one embodiment, obtaining the belt damage value in the steady-state operation stage based on the vehicle operating parameters includes: obtaining the engine speed and engine torque based on the vehicle operating parameters; obtaining the real-time belt temperature based on the engine torque, engine speed and real-time ambient temperature; and obtaining the belt damage value in the steady-state operation stage based on the real-time belt temperature, engine speed and steady-state damage coefficient.

[0072] It should be noted that, first of all, the system needs to monitor and record the engine speed and torque in real time. Engine speed refers to the number of revolutions per minute of the engine, and engine torque refers to the rotational torque generated by the engine. It is the direct source of belt tension and affects the stress state of the belt. The real-time operating temperature of the belt can be estimated by using the engine torque and speed, combined with the real-time ambient temperature. Belt temperature has a significant impact on material properties. High temperature may accelerate material aging and reduce its fatigue resistance. The system uses a steady-state damage coefficient, which is a coefficient determined based on the belt material properties and historical data. It is used to quantify the degree of damage sustained by the belt per revolution under specific temperature, speed and torque conditions. The total damage value of the belt during the entire journey or time period can be obtained by multiplying the damage accumulated per revolution of the belt under steady-state operating conditions by the number of revolutions.

[0073] Step S102: obtaining a belt damage value in a transient operation phase according to the vehicle startup mode and the vehicle operation parameters.

[0074] It should be noted that for hybrid vehicles, the damage to the belt will vary depending on the type of power source during the vehicle startup phase, and a separate calculation is required based on the specific power source.

[0075] In one embodiment, the transient damage coefficient of the transient operation stage is determined based on the vehicle starting mode; the starting speed and starting torque of the transient operation stage are obtained based on the vehicle operating parameters; and the belt damage value of the transient operation stage is obtained based on the starting speed, starting torque and transient damage coefficient.

[0076] It's important to note that the transient operating phase specifically refers to the transition from a stationary state to the start-up phase of a vehicle. This phase typically causes the most damage to the belt because the engine or motor generates significant torque during startup, subjecting the belt to instantaneous high stress. The corresponding transient damage coefficient must be determined based on the vehicle's starting mode, which can be engine start, motor start, or a combination of both. Different starting modes, due to their varying operating characteristics, impose varying degrees of transient stress on the belt, necessitating different damage coefficients to reflect these differences.

[0077] It is understood that during transient operation, especially during startup, it is necessary to measure or calculate the number of revolutions per minute (the number of times the engine or motor rotates per minute) and torque (the rotational torque generated during startup). These two parameters are key operating parameters for evaluating belt damage during the startup phase.

[0078] In one embodiment, determining the transient damage coefficient of the transient operation stage based on the vehicle starting mode includes: when the vehicle starting mode is a hybrid starting mode, determining the fatigue damage coefficient of the transient operation stage as a first damage coefficient; when the vehicle starting mode is a drive motor starting mode, determining the fatigue damage coefficient of the transient operation stage as a second damage coefficient, wherein the second damage coefficient is greater than the first damage coefficient.

[0079] It should be noted that hybrid start mode refers to the starting method of the integrated starter / generator system (Integrated Starter and Generator), which is widely used in modern vehicles, especially in hybrid and electric vehicles. The ISTART system can provide the required torque when the vehicle starts, thereby compensating for the lack of torque when the engine starts. In this case, the drive motor and the engine will output power to the outside at the same time. In other cases, the drive motor and the engine may work independently and not output power to the outside at the same time. For example, the vehicle may rely mainly on the motor when driving at low or medium speeds, and switch to the engine when driving at high speeds, or the motor may be used first when the battery is sufficient and switch to the engine when the battery is low.

[0080] It's understandable that during the startup phase, different startup modes will correspond to different transient damage coefficients. For example, when starting with the ISTART system, due to its generally gentle design, it causes less damage to the belt, so its transient damage coefficient may be lower. However, when starting with a drive motor, due to the motor's ability to instantly provide greater torque, it causes greater damage to the belt, resulting in a higher transient damage coefficient. Therefore, the second damage coefficient corresponding to the drive motor is greater than the first damage coefficient corresponding to the ISTART system startup.

[0081] Step S103: obtaining the belt damage value in the current stroke according to the belt damage value in the startup phase and the belt damage value in the steady-state operation phase.

[0082] It can be understood that the belt damage value in the current stroke can be obtained by adding the belt damage value in the startup phase and the belt damage value in the steady-state operation phase.

[0083] It should be understood that in some cases, there will be more than one starting process in the same journey. For example, when driving on a mountain road with many ups and downs, there will be multiple starting processes. It is necessary to calculate the belt damage value in the starting stage multiple times to obtain the accurate belt damage value within the journey.

[0084] This embodiment provides an engine belt life prediction method. This embodiment first obtains a belt damage value in a steady-state operation phase based on the vehicle operating parameters; obtains a belt damage value in a transient operation phase based on the vehicle starting mode and the vehicle operating parameters; and obtains a belt damage value in a current trip based on the belt damage value in the starting phase and the belt damage value in the steady-state operation phase.

[0085] In summary, by comprehensively considering damage values ​​during both steady-state and transient operation, belt fatigue damage can be accurately predicted. Data-driven damage calculation based on real-time monitoring of vehicle operating parameters such as torque, speed, and ambient temperature improves the scientific nature and accuracy of maintenance. By accurately calculating damage values ​​during both steady-state and transient operation, belt wear can be accurately predicted, thereby optimizing maintenance plans, extending belt life, reducing the risk of unexpected failures, and improving vehicle reliability and safety. Furthermore, this method reduces maintenance costs and enhances user experience through data-driven decision support, providing strong data support for intelligent vehicle health management.

[0086] Reference Figure 3 The present application also provides an engine belt life prediction device, the engine belt life prediction device comprising:

[0087] The fatigue damage calculation module 10 is used to obtain the fatigue damage value of the current trip according to the vehicle operation parameters;

[0088] The fatigue damage calculation module 10 is further configured to obtain a damage history cumulative value based on the fatigue damage value;

[0089] The belt life prediction module 20 is used to obtain a belt life prediction result based on the damage history accumulated value.

[0090] In one embodiment, the fatigue damage calculation module 10 is further used to obtain a belt damage value in a steady-state operation phase according to the vehicle operating parameters; obtain a belt damage value in a transient operation phase according to the vehicle starting mode and the vehicle operating parameters; and obtain a belt damage value in a current stroke according to the belt damage value in the starting phase and the belt damage value in the steady-state operation phase.

[0091] In one embodiment, the fatigue damage calculation module 10 is further used to obtain the engine speed and engine torque based on the vehicle operating parameters; obtain the real-time belt temperature based on the engine torque, engine speed and real-time ambient temperature; and obtain the belt damage value in the steady-state operation stage based on the real-time belt temperature, engine speed and steady-state damage coefficient.

[0092] In one embodiment, the fatigue damage calculation module 10 is further used to determine the transient damage coefficient of the transient operation stage according to the vehicle starting mode; obtain the starting speed and starting torque of the transient operation stage according to the vehicle operating parameters; and obtain the belt damage value of the transient operation stage according to the starting speed, starting torque and transient damage coefficient.

[0093] In one embodiment, the fatigue damage calculation module 10 is further used to determine that the fatigue damage coefficient of the transient operation stage is a first damage coefficient when the vehicle starting mode is a hybrid starting mode; and to determine that the fatigue damage coefficient of the transient operation stage is a second damage coefficient when the vehicle starting mode is a drive motor starting mode, wherein the second damage coefficient is greater than the first damage coefficient.

[0094] In one embodiment, the belt life prediction module 20 is further used to judge that the current remaining service life of the belt is less than a first usage threshold when the cumulative value of the damage history is greater than a first cumulative threshold and less than a second cumulative threshold; and to judge that the current remaining service life of the belt is less than a second usage threshold when the cumulative value of the damage history is greater than the second cumulative threshold, wherein the first usage threshold is greater than the second usage threshold.

[0095] In one embodiment, the belt life prediction module 20 is also used to generate a belt life reminder message when it is determined that the current belt is at the end of a preset service life, reminding the user to replace the belt in time; when it is determined that the current belt has reached a preset service life, it generates a belt life warning message and limits the vehicle operating parameters until the current vehicle completes the belt replacement.

[0096] An embodiment of the present application also provides an engine belt life prediction device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the engine belt life prediction method in the above-mentioned embodiment one.

[0097] Reference below Figure 4 , which shows a schematic diagram of the structure of an engine belt life prediction device suitable for implementing an embodiment of the present application. The engine belt life prediction device in the embodiment of the present application can include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), and in-vehicle terminals (such as in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. Figure 4 The engine belt life prediction device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0098] like Figure 4As shown, the engine belt life prediction device may include a processing device 1001 (e.g., a central processing unit, graphics processing unit, etc.), which can perform various appropriate actions and processes based on programs stored in a read-only memory (ROM) 1002 or programs loaded from a storage device 1003 into a random access memory (RAM) 1004. RAM 1004 also stores various programs and data required for the operation of the engine belt life prediction device. Processing device 1001, ROM 1002, and RAM 1004 are interconnected via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems may be connected to I / O interface 1006: input devices 1007, such as a touchscreen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; output devices 1008, such as a liquid crystal display (LCD), speaker, vibrator, etc.; storage device 1003, such as a magnetic tape or hard disk; and communication device 1009. Communication device 1009 can allow the engine belt life prediction device to communicate wirelessly or wired with other devices to exchange data. Although the figure shows an engine belt life prediction device with various systems, it should be understood that it is not required to implement or have all of the systems shown. More or fewer systems may be implemented or have alternatively.

[0099] In particular, according to the embodiments disclosed in the present application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the embodiments disclosed in the present application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program comprising program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network via a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0100] The engine belt life prediction device provided in this application utilizes the engine belt life prediction method described in the aforementioned embodiment, addressing the existing technical problem of accurately calculating and predicting the remaining useful life of an engine belt based on real-time vehicle operating conditions. Compared to the prior art, the engine belt life prediction device provided in this application achieves the same beneficial effects as the engine belt life prediction method described in the aforementioned embodiment. Other technical features of this engine belt life prediction device are the same as those disclosed in the aforementioned embodiment and are not further elaborated upon here.

[0101] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0102] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

[0103] The present application also provides a storage medium, on which an engine belt life prediction program is stored. When the engine belt life prediction program is executed by a processor, the steps of any one of the engine belt life prediction methods described above are implemented.

[0104] The storage medium provided in this application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination thereof. More specific examples of storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this embodiment, the storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, system or device. The program code contained on the storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0105] The above-mentioned storage medium may be included in the engine belt life prediction device; or may exist independently without being assembled into the engine belt life prediction device.

[0106] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the engine belt life prediction device, the engine belt life prediction device: obtains the fatigue damage value of the current trip based on the vehicle operating parameters; obtains the damage history cumulative value based on the fatigue damage value; and obtains the belt life prediction result based on the damage history cumulative value.

[0107] Computer program code for performing the operations of the present application may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0108] The flow charts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, program segment or a part of code, and the module, program segment or a part of code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order than that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented by a dedicated hardware-based system that performs the specified function or operation, or can be implemented by a combination of dedicated hardware and computer instructions.

[0109] The modules described in the embodiments of the present application may be implemented in software or hardware, wherein the name of a module does not necessarily limit the unit itself.

[0110] The storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the aforementioned engine belt life prediction method. This computer-readable storage medium addresses the technical problem of accurately calculating and predicting the remaining useful life of an engine belt based on real-time vehicle operating conditions. Compared to the prior art, the beneficial effects of the computer-readable storage medium provided in this application are similar to those of the engine belt life prediction method provided in the aforementioned embodiment and are not further elaborated here.

[0111] The above description is only part of the embodiments of the present application and does not limit the patent scope of the present application. All equivalent structural transformations made by using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect application in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A method for predicting the life of an engine belt, characterized in that: The engine belt life prediction method comprises: According to the vehicle operating parameters, the fatigue damage value of the current trip is obtained; The method of obtaining the fatigue damage value of the current trip according to the vehicle operating parameters includes: According to the vehicle operating parameters, the belt damage value in the steady-state operation stage is obtained; Obtaining a belt damage value in a transient operation phase according to a vehicle startup mode and the vehicle operating parameters; The step of obtaining the belt damage value in the transient operation phase according to the vehicle startup mode and the vehicle operating parameters includes: determining a transient damage coefficient in a transient operation phase according to the vehicle startup mode; According to the vehicle operating parameters, the starting speed and starting torque in the transient operation phase are obtained; Obtaining a belt damage value in a transient operation phase according to the starting speed, starting torque, and transient damage coefficient; Obtaining a belt damage value within a current stroke according to the belt damage value in the transient operation phase and the belt damage value in the steady-state operation phase; The determining of the transient damage coefficient in the transient operation phase according to the vehicle startup mode includes: When the vehicle starting mode is a hybrid starting mode, determining the fatigue damage coefficient in the transient operation stage as a first damage coefficient; When the vehicle starting mode is a drive motor starting mode, determining the fatigue damage coefficient in the transient operation stage as a second damage coefficient, wherein the second damage coefficient is greater than the first damage coefficient; Obtaining a damage history cumulative value according to the fatigue damage value; A belt life prediction result is obtained based on the damage history accumulated value.

2. The engine belt life prediction method according to claim 1, characterized in that: Obtaining the belt damage value in the steady-state operation stage according to the vehicle operating parameters includes: Obtaining engine speed and engine torque according to the vehicle operating parameters; Obtaining a real-time belt temperature according to the engine torque, engine speed, and real-time ambient temperature; The belt damage value in the steady-state operation phase is obtained according to the real-time belt temperature, engine speed and steady-state damage coefficient.

3. The engine belt life prediction method according to claim 1, characterized in that: The belt life prediction result is obtained based on the damage history accumulated value, including: When the damage history cumulative value is greater than the first cumulative threshold and less than the second cumulative threshold, it is determined that the current remaining service life of the belt is less than the first usage threshold; When the damage history cumulative value is greater than a second cumulative threshold, it is determined that the current remaining service life of the belt is less than a second usage threshold, wherein the first usage threshold is greater than the second usage threshold.

4. The engine belt life prediction method according to claim 1, characterized in that: After obtaining the belt life prediction result according to the damage history accumulated value, the method further includes: When it is determined that the remaining service life of the current belt is less than the first usage threshold, a belt life reminder message is generated to remind the user to replace the belt in time; When it is determined that the remaining service life of the current belt is less than the second usage threshold, a belt life warning message is generated, and the vehicle operating parameters are restricted until the belt of the current vehicle is replaced.

5. An engine belt life prediction device, characterized in that: The engine belt life prediction device comprises: Fatigue damage calculation module, used to obtain the fatigue damage value of the current trip based on vehicle operating parameters; The fatigue damage calculation module is further used to obtain the belt damage value in the steady-state operation phase according to the vehicle operation parameters; and obtain the belt damage value in the transient operation phase according to the vehicle startup mode and the vehicle operation parameters; The fatigue damage calculation module is further configured to determine a transient damage coefficient in a transient operation phase based on the vehicle starting mode; obtain a starting speed and a starting torque in the transient operation phase based on the vehicle operating parameters; obtain a belt damage value in the transient operation phase based on the starting speed, the starting torque, and the transient damage coefficient; and obtain a belt damage value in the current stroke based on the belt damage value in the transient operation phase and the belt damage value in the steady-state operation phase. The fatigue damage calculation module is further configured to, when the vehicle startup mode is a hybrid startup mode, determine the fatigue damage coefficient in the transient operation phase as a first damage coefficient; and, when the vehicle startup mode is a drive motor startup mode, determine the fatigue damage coefficient in the transient operation phase as a second damage coefficient, wherein the second damage coefficient is greater than the first damage coefficient. The fatigue damage calculation module is further configured to obtain a damage history cumulative value based on the fatigue damage value; The belt life prediction module is used to obtain the belt life prediction result according to the damage history accumulated value.

6. An engine belt life prediction device, characterized in that: The engine belt life prediction device includes: a memory, a processor, and an engine belt life prediction program stored in the memory and executable on the processor, wherein the engine belt life prediction program is configured to implement the steps of the engine belt life prediction method according to any one of claims 1 to 4.

7. A storage medium, characterized in that: The storage medium stores an engine belt life prediction program, which, when executed by a processor, implements the steps of the engine belt life prediction method according to any one of claims 1 to 4.

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