Vehicle fault early warning method and device and storage medium

Abstract

The invention provides a vehicle fault early warning method and device and a storage medium, and relates to the technical field of vehicle engineering. The vehicle fault early warning method comprises the steps that working condition data of a compressor are obtained; according to the working condition data and the fault-free operation duration of the compressor, the total life loss amount of the compressor is determined, and the fault-free operation duration is associated with the working condition; the service life upper limit of a compressor of the vehicle is obtained, and the service life upper limit is determined according to the lost service life of the compressor when the vehicle of the vehicle type breaks down; and determining the fault risk according to the total life loss and the life upper limit. Through the method, the accuracy of fault early warning of the vehicle compressor can be improved.

Description

Technical Field

[0001] This disclosure relates to the field of vehicle engineering technology, and in particular to a vehicle fault early warning method, device and storage medium. Background Technology

[0002] With the continuous updating and iteration of science and technology, new energy commercial vehicles have entered the era of intelligence, and the application of technologies such as the Internet of Things, artificial intelligence, and digital twins in commercial vehicles is dazzling. As the main force in engineering construction, new energy heavy-duty commercial vehicles play an irreplaceable role in infrastructure construction and mega-projects.

[0003] The reliability and health status of critical vehicle systems are important concerns for every driver and engineering team, and many engineers are currently researching this area. As an indispensable part of new energy commercial vehicles, the thermal management system not only affects the comfort of the passenger compartment but also impacts overall vehicle performance and safety. Especially for new energy vehicles, features such as fast battery charging and electric drive cooling rely heavily on the thermal management system; therefore, ensuring its proper functioning is crucial for the normal operation of new energy commercial vehicles.

[0004] The compressor is a component with a relatively high failure rate in the thermal management system. Predicting its health life and providing early warnings of potential failures can ensure the normal operation of the vehicle's thermal management system. Issuing warnings and limiting the operating point before an actual compressor failure occurs maintains the vehicle's basic cooling and heating needs, preventing the thermal management system from completely failing and causing battery and electric drive thermal runaway, ultimately leading to serious consequences. Simultaneously, after issuing a fault warning, the vehicle can hold out until it reaches a repair shop. Summary of the Invention

[0005] One object of this disclosure is to provide a method and apparatus for fault warning in order to improve the reliability and safety of vehicles.

[0006] According to one aspect of some embodiments of this disclosure, a vehicle fault early warning method is proposed, comprising: acquiring compressor operating condition data; determining the total life loss of the compressor based on the operating condition data and the compressor's fault-free operating time, wherein the fault-free operating time is related to the operating condition; acquiring the upper limit of the life of the vehicle's compressor, wherein the upper limit of the life is determined based on the life lost of the compressor in the vehicle's model at the time of the fault; and determining the existence of a fault risk based on the total life loss and the upper limit of the life.

[0007] In some embodiments, determining the total life loss of the compressor based on operating condition data and the compressor's fault-free operating time includes: determining the real-time operating condition at the detection time; determining the life loss of the compressor between the current detection time and the most recent detection time under the real-time operating condition based on the correspondence between the compressor's fault-free operating time and the operating condition; and determining the total life loss based on the life loss at each detection time from the start time to the current time.

[0008] In some embodiments, determining the compressor's lifespan loss between the current detection time and the most recent detection time under real-time operating conditions, based on the correspondence between the compressor's fault-free operating time and operating conditions, includes: determining the compressor's fault-free operating time under real-time operating conditions based on the correspondence between the compressor's fault-free operating time and operating conditions; and determining the compressor's lifespan loss between the current detection time and the most recent detection time based on the fault-free operating time and the time length between the current detection time and the most recent detection time.

[0009] In some embodiments, determining the total lifespan loss of the compressor based on operating condition data and the compressor's fault-free operating time includes: acquiring real-time operating conditions at the first detection time; determining the first lifespan loss of the compressor between the first detection time and the start time based on the correspondence between the compressor's fault-free operating time and the operating conditions; acquiring real-time operating conditions at the i-th detection time, where i is a positive integer greater than or equal to 2; determining the i-th lifespan loss of the compressor between the i-th detection time and the (i-1)-th detection time based on the correspondence between the compressor's fault-free operating time and the operating conditions; and summing the lifespan losses from the first to the i-th detection time to obtain the total lifespan loss of the compressor at the i-th detection time.

[0010] In some embodiments, the operating data includes at least one of compressor speed and compressor discharge temperature.

[0011] In some embodiments, obtaining the upper limit of the lifespan of a vehicle's compressor includes: obtaining the compressor lifespan of multiple vehicles of the same model as the vehicle at the time of the malfunction; processing the compressor lifespan of multiple malfunctions based on a predetermined algorithm to obtain the upper limit of the compressor's lifespan.

[0012] In some embodiments, the compressor has lost its lifespan when the failure occurs, which is the total lifespan loss when the compressor fails.

[0013] In some embodiments, determining the existence of failure risk based on the total life loss and the upper limit of life includes: determining the existence of failure risk when the total life loss is greater than or equal to a predetermined percentage of the upper limit of life.

[0014] In some embodiments, the vehicle fault warning method further includes: obtaining the fault-free operating time of the compressor under each operating condition based on the manufacturer's test data.

[0015] In some embodiments, the vehicle fault warning method further includes: when a fault risk is determined to exist, performing at least one of the following: the thermal management system enters a protection program; the compressor speed is reduced to a predetermined safe speed; and a vehicle fault warning message is issued to the user.

[0016] According to one aspect of some embodiments of this disclosure, a vehicle fault warning device is proposed, comprising: a data acquisition module configured to acquire compressor operating condition data; a prediction module configured to determine the total lifespan loss of the compressor based on the operating condition data and the compressor's fault-free operating time, wherein the compressor's fault-free operating time is associated with the operating condition; a lifespan upper limit determination module configured to acquire the upper limit of the vehicle's compressor lifespan, wherein the upper limit of lifespan is determined based on the compressor's lifespan already lost at the time of the fault in the vehicle's model; and a fault risk determination module configured to determine the existence of a fault risk based on the total lifespan loss and the upper limit of lifespan.

[0017] In some embodiments, the vehicle fault warning device further includes a basic life configuration unit configured to obtain the fault-free operating time of the compressor under each operating condition based on the manufacturer's test data.

[0018] According to one aspect of some embodiments of this disclosure, a vehicle fault warning device is provided, comprising: a memory; and a processor coupled to the memory, the processor being configured to execute any of the vehicle fault warning methods described above based on instructions stored in the memory.

[0019] According to one aspect of some embodiments of the present disclosure, a computer-readable storage medium is provided that stores computer instructions which, when executed by a processor, implement any of the vehicle fault warning methods described above.

[0020] According to one aspect of some embodiments of this disclosure, a computer program product is proposed, including a computer program or instructions that, when executed by a processor, implement any of the vehicle fault warning methods described above.

[0021] Based on the embodiments shown above in this disclosure, the damage to the compressor under different operating conditions is quantified as life loss. Then, based on the amount of life loss and the upper limit of the compressor's life, it is determined whether the warning threshold has been reached, and a fault warning is issued. This incorporates the compressor's operating status into the scope of its failure probability consideration, thereby improving the accuracy of vehicle compressor fault warning. Attached Figure Description

[0022] The accompanying drawings, which are included to provide a further understanding of this disclosure and form part of this disclosure, illustrate exemplary embodiments of the present disclosure and are used to explain the disclosure, but do not constitute an undue limitation of the disclosure. In the drawings:

[0023] Figure 1 The flowcharts are for some embodiments of the vehicle fault warning method disclosed herein.

[0024] Figure 2 This is a schematic diagram of some embodiments of the fault-free operating time of the compressor in the vehicle fault warning method of this disclosure.

[0025] Figure 3 This is a flowchart of some embodiments of the vehicle fault warning method disclosed herein for determining the total lifespan loss.

[0026] Figure 4 This is a flowchart of some embodiments of the vehicle fault warning method disclosed herein for determining the upper limit of lifespan.

[0027] Figure 5 These are schematic diagrams of some embodiments of the vehicle fault warning device disclosed herein.

[0028] Figure 6 These are schematic diagrams of some embodiments of the vehicle fault warning device disclosed herein.

[0029] Figure 7 These are schematic diagrams of some embodiments of the vehicle fault warning device disclosed herein. Detailed Implementation

[0030] The technical solutions of this disclosure will be further described in detail below with reference to the accompanying drawings and embodiments.

[0031] The inventors discovered that compressors suffer varying degrees of damage under different operating conditions. Therefore, providing vehicle maintenance recommendations and fault warnings solely based on the length of time the compressor has been in use is inaccurate.

[0032] Based on the above reasons, this disclosure proposes a vehicle fault early warning method, device and storage medium, which quantifies the damage of the compressor under different operating conditions into life loss, and then performs fault early warning based on the amount of life loss, thereby improving the accuracy of vehicle compressor fault early warning.

[0033] Flowcharts of some embodiments of the vehicle fault warning method disclosed herein are as follows: Figure 1 As shown.

[0034] In step S11, compressor operating condition data is acquired. In some embodiments, the compressor operating condition data can be obtained by communicating with the compressor's control device or sensors. For example, the compressor discharge temperature can be obtained using a temperature sensor located at the compressor discharge position; the compressor speed can be obtained using the compressor's control device. In some embodiments, the operating condition data can be time-series data, so that subsequent processing and analysis can incorporate the time sequence to improve the effective utilization of the data.

[0035] In some embodiments, operating data includes compressor speed. The compressor operates at different speeds, which have varying degrees of impact on its lifespan.

[0036] 1. Higher operating speed usually means that the moving parts inside the compressor (such as pistons, crankshafts, etc.) move at a higher speed, which will lead to increased friction between these parts, thus accelerating the wear rate.

[0037] 2. At high speeds, the compressor needs to handle more refrigerant, which means it bears a greater load. If the system is poorly designed or maintained, overload can lead to compressor failure.

[0038] 3. Vibration and noise: High-speed compressors generate greater vibration and noise, which not only affects ride comfort but may also cause loosening or damage to connecting parts, further shortening the compressor's lifespan.

[0039] By using the method in the above embodiment, compressor damage at different speeds is quantified as compressor life loss, thereby improving the accuracy of vehicle compressor fault warning.

[0040] In some embodiments, operating data includes compressor discharge temperature. The compressor operates at different discharge temperatures, which have varying degrees of impact on its lifespan.

[0041] 1. If the compressor's exhaust temperature is too high, it will cause the viscosity of the lubricating oil between internal components (such as pistons, cylinder walls, etc.) to decrease, thereby reducing the lubrication effect. This will increase friction and lead to accelerated wear of these parts.

[0042] 2. High temperatures can cause chemical changes in lubricating oil, producing carbon deposits and other harmful substances. These substances accumulate in the system, affecting lubrication performance and potentially causing oil circuit blockage or seal damage.

[0043] 3. Thermal expansion of materials: High temperature may cause thermal expansion of metal parts inside the compressor, which may lead to changes in the fit clearance, and thus cause the risk of leakage or mechanical jamming.

[0044] 4. Potential failure risks: As the temperature rises, the refrigerant and lubricating oil may decompose, generating acidic substances and other deposits. These can negatively affect the compressor's efficiency and reliability, increasing the likelihood of serious failures.

[0045] By using the method in the embodiments shown above, compressor damage at different exhaust temperatures is quantified as compressor life loss, thereby improving the accuracy of vehicle compressor fault warning.

[0046] In step S13, the total life loss of the compressor is determined based on the operating condition data and the compressor's trouble-free operating time. The compressor's trouble-free operating time is related to the operating condition; for example, under a given operating condition, there is a corresponding trouble-free operating time.

[0047] In some embodiments, the vehicle fault warning method of this disclosure further includes obtaining the fault-free operating time of the compressor under each operating condition based on the manufacturer's test data, as a preset baseline lifespan. For example, taking operating condition data including compressor speed and compressor exhaust temperature as an example... Figure 2 The diagram shows compressor lifespan data, derived from the compressor manufacturer's minimum fault-free operating time at various operating conditions based on bench tests. The X and Y axes represent compressor speed and compressor discharge temperature, respectively, while the Z axis represents the compressor's fault-free operating time. Each operating condition (X, Y) corresponds to a minimum fault-free operating time Z. The numbers shown in the diagram are for illustrative purposes only and do not represent exact speed, temperature, or time data. Based on the method in this embodiment, experimental data can be used to determine the vehicle's fault-free operating time under each operating condition, serving as the data basis for obtaining compressor lifespan damage caused by each condition and improving the reliability of subsequent calculations.

[0048] In some embodiments, the real-time operating conditions at the detection time can be determined first. Then, based on the correspondence between the compressor's fault-free operating time and the operating conditions, the life loss of the compressor between the current detection time and the most recent detection time under the real-time operating conditions can be determined. Furthermore, based on the life loss at each detection time from the initial time to the current time, the total life loss can be determined by accumulation or integration. Based on the method in this embodiment, the total life loss of the compressor can be obtained by accumulating the life loss. The life loss includes not only the time elapsed between two adjacent detection times but also the life damage caused to the compressor under the operating conditions at the two adjacent detection times, thus improving the accuracy of the life loss measurement.

[0049] For example, by conducting tests at a predetermined frequency (e.g., once per minute), the compressor's lifespan loss during that time period (one minute) corresponding to the operating conditions at each test can be obtained. Then, the lifespan loss of the compressor at each test can be summed to obtain the total lifespan loss. Testing at a predetermined frequency facilitates the timely detection of changes in compressor operating conditions, reducing computational burden.

[0050] Flowcharts of some embodiments of the vehicle fault early warning method disclosed herein for determining the total lifespan loss are shown below. Figure 3 As shown in the figure, the total lifespan loss can be obtained through the cyclic operation shown in the figure.

[0051] In step 331, real-time operating conditions are obtained, including engine speed and exhaust temperature.

[0052] In step 332, the first life loss of the compressor between the first detection time and the start time is determined based on the correspondence between the compressor's fault-free operating time and operating conditions.

[0053] In step 333, let variable i = 1.

[0054] In step 334, it is determined whether the detection time has been reached. If the detection time has been reached, then step 335 is executed.

[0055] In step 335, i is incremented by 1.

[0056] In step 336, the compressor's lifespan loss at the i-th detection time is determined based on the correspondence between the compressor's fault-free operating time and the operating condition. In some embodiments, the compressor's fault-free operating time Z under real-time operating condition (X, Y) can be determined first based on the correspondence between the compressor's fault-free operating time and the operating condition. x,y Then, based on the fault-free operating time and the time t between the current detection time and the most recent detection time, the life loss of the compressor between the current detection time and the most recent detection time is determined as t / Z. x,y .

[0057] Further, proceed to step 337 and return to step 334.

[0058] In step 337, the life loss from the first to the i-th time is summed to obtain the total life loss of the compressor at the i-th detection time.

[0059] For example, if a test is performed every 1 minute, the working condition obtained from the i-th test is (X). i ,Y i The corresponding fault-free runtime Z xi,yi (Unit: minutes), then the lifespan loss is 1 / Zxi,yi Then the total lifespan loss of the compressor is Z. T =∑1 / Z xi,yi Z T The value can be greater than 1 or less than 1. The method in the above embodiment is simple to operate, and after each detection, it only needs to update the lifetime loss of the current detection cycle to the total lifetime loss. The amount of computation is low, which reduces the requirements for the computing power of the equipment and the processing burden.

[0060] In step S15, the upper limit of the lifespan of the vehicle's compressor is obtained, wherein the upper limit of the lifespan is determined based on the vehicle model and the compressor's lifespan already lost at the time of the malfunction.

[0061] In some embodiments, the aforementioned lost lifespan of the compressor may refer to the length of time the compressor has been running, thereby reducing the data processing burden.

[0062] In some embodiments, the term "compressor lifespan loss" refers to the total lifespan loss of the compressor, and the calculation method for the total lifespan loss is the same as in step S15 above. This method allows for the consideration of the impact of the compressor's operating conditions on its lifespan when calculating the compressor's upper lifespan limit, thereby obtaining a more accurate and objective upper lifespan limit and further improving the accuracy of fault warnings.

[0063] In some embodiments, the types of the aforementioned faults may vary, resulting in different compressor lifespans. Monitoring multiple vehicles of the same model yields the compressor lifespan lost for each fault. Then, based on a predetermined algorithm, the compressor lifespans lost for various faults are processed, such as by averaging or by taking a weighted average based on the fault's weight, to determine the compressor's lifespan ceiling. This method takes into account the differences between various faults, improves the objectivity and accuracy of the lifespan ceiling, and reduces the impact of occasional faults.

[0064] Flowcharts of some embodiments of the vehicle fault warning method disclosed herein for determining the upper limit of lifespan are shown below. Figure 4 As shown in the image.

[0065] In step 451, the lost life of the compressor is obtained. In some embodiments, the total life loss of the compressor is taken as the lost life of the compressor, and the method for obtaining it is the same as in step S15 above.

[0066] In step 452, it is determined whether the compressor has malfunctioned. In some embodiments, sensors inside the vehicle's thermal management unit can be used to determine whether the compressor is currently malfunctioning.

[0067] If no fault occurs, monitoring and recording continue. In some embodiments, step 451 can be returned to update the real-time lost lifetime. If a fault occurs, step 453 is executed.

[0068] In step 453, data is uploaded, including fault events and lost lifespan. The backend calculates the maximum lifespan based on the data uploaded from vehicles of the same model, using a predetermined algorithm. For example, by analyzing the vehicle backend big data and recording faults for each vehicle, the method shown in step S15 above is used to calculate the compressor lifespan loss weight, and the average of the recorded values ​​is taken to obtain the maximum lifespan Z of the compressor for this model (same compressor manufacturer, model, and specification). ave (Z ave (It can be >1 or <1).

[0069] Based on the method described in the embodiments above, fault monitoring and lifespan prediction can be combined. By statistically analyzing the total lifespan loss during faults in multiple vehicles, the upper limit of lifespan can be obtained, improving the accuracy of lifespan upper limit determination. Furthermore, by performing data statistics and analysis on vehicle gimbal big data, it is possible to easily assess the reliability of compressor components based on the lifespan upper limit, providing a reference for selecting reliable components.

[0070] In step S17, a failure risk is determined based on the total lifespan loss and the upper lifespan limit. In some embodiments, a failure risk is determined when the total lifespan loss is greater than or equal to a predetermined percentage (e.g., 95%) of the upper lifespan limit. The predetermined percentage is less than 1. This method allows time for vehicles to travel to repair and maintenance facilities, improving vehicle safety and the ease of troubleshooting.

[0071] Based on the method in the above embodiment, the damage to the compressor under different operating conditions is quantified as life loss. Then, based on the amount of life loss and the upper limit of the compressor's life, it is determined whether the warning threshold has been reached, and a fault warning is issued. This incorporates the compressor's working status and working environment into the scope of its failure probability consideration, thereby improving the accuracy of vehicle compressor fault warning.

[0072] In some embodiments, the vehicle fault warning method of this disclosure further includes step S19: performing a fault warning operation when it is determined that there is a fault risk.

[0073] For example, the thermal management system enters a protection program, reducing the compressor speed to a predetermined safe speed, thereby reducing the probability of failure in the short term. This method limits the compressor's operating state when it approaches the end of its healthy lifespan, reducing its workload and extending its lifespan. This protects the compressor from immediate failure, maintains the basic functions of the thermal management system, prevents thermal runaway of the battery and electric drive, and prevents the scope of hardware damage from expanding. It also helps support the entry of new energy commercial vehicles into repair shops.

[0074] In some embodiments, when a risk of failure is identified, a vehicle failure warning message is sent to the user to remind the user to perform vehicle maintenance or repair, thereby preventing the failure from actually occurring, ensuring vehicle functional safety, and improving vehicle reliability, safety, and after-sales service.

[0075] Schematic diagrams of some embodiments of the vehicle fault warning device disclosed herein are shown below. Figure 5 As shown.

[0076] The data acquisition module 51 is capable of acquiring the compressor's operating condition data. In some embodiments, the data acquisition module 51 can execute the method in any embodiment of step S11 above.

[0077] The prediction module 53 is capable of determining the total life loss of the compressor based on operating condition data and the compressor's fault-free operating time, wherein the compressor's fault-free operating time is related to operating conditions. In some embodiments, the prediction module 53 can perform the method in any embodiment of step S13 described above.

[0078] The lifespan limit determination module 54 is capable of obtaining the lifespan limit of the vehicle's compressor, wherein the lifespan limit is determined based on the compressor's lost lifespan at the time of failure for the vehicle's model. In some embodiments, the lifespan limit determination module 54 can execute the method in any embodiment of step S15 above.

[0079] The fault risk determination module 55 is capable of determining the existence of fault risk based on the total lifespan loss and the upper limit of lifespan. In some embodiments, the fault risk determination module 55 can perform the method in any embodiment of step S17 above.

[0080] Based on the vehicle fault warning device in the above embodiment, the damage to the compressor under different operating conditions is quantified as life loss. Then, based on the amount of life loss and the upper limit of the compressor's life, it is determined whether the warning threshold has been reached, and a fault warning is issued. This incorporates the compressor's working status and working environment into the scope of its fault occurrence probability consideration, thereby improving the accuracy of vehicle compressor fault warning.

[0081] In some embodiments, the vehicle fault warning device further includes a basic life configuration unit 52, capable of acquiring the fault-free operating time of the compressor under each operating condition based on the manufacturer's test data. For example, taking operating condition data including compressor speed and compressor discharge temperature as an example... Figure 2 The diagram shows compressor lifespan data, derived from the compressor manufacturer's minimum fault-free operating time at various operating conditions based on bench tests. The X and Y axes represent compressor speed and compressor discharge temperature, respectively, while the Z axis represents the compressor's fault-free operating time. Each operating condition (X, Y) corresponds to a minimum fault-free operating time Z. The numbers shown in the diagram are for illustrative purposes only and do not represent exact speed, temperature, or time data. Based on the device in this embodiment, experimental data can be used to determine the vehicle's fault-free operating time under each operating condition, serving as the data basis for obtaining compressor lifespan damage caused by each condition and improving the reliability of subsequent calculations.

[0082] In some embodiments, the fault risk determination module 55 can also perform a fault warning operation when a fault risk is determined to exist. For example, the thermal management system enters a protection program; the compressor speed is reduced to a predetermined safe speed, thereby reducing the probability of a fault occurring in the following short period of time. In some embodiments, when a fault risk is determined to exist, the fault risk determination module 55 issues a vehicle fault warning message to the user, reminding the user to perform vehicle maintenance or repair, thereby preventing a fault from actually occurring and improving the user experience.

[0083] A schematic diagram of an embodiment of the vehicle fault warning device disclosed herein is shown below. Figure 6 As shown, the vehicle fault warning device includes a first memory 601 and a first processor 602. The first memory 601 can be a disk, flash memory, or any other non-volatile storage medium. The first memory stores instructions from the corresponding embodiments of the vehicle fault warning method described above. The first processor 602 is coupled to the first memory 601 and can be implemented as one or more integrated circuits, such as a microprocessor or microcontroller. The first processor 602 executes the instructions stored in the first memory, thereby improving the accuracy of vehicle compressor fault warnings.

[0084] In one embodiment, it can also be as follows: Figure 7 As shown, the vehicle fault warning device 700 includes a second memory 701 and a second processor 702. The second processor 702 is coupled to the second memory 701 via a BUS bus 703. The vehicle fault warning device 700 can also be connected to an external storage device 705 via a storage interface 704 to access external data, and can also be connected to a network or another computer system (not shown) via a network interface 706. Further details are omitted here.

[0085] In this embodiment, by storing data instructions in a memory and then processing the instructions by a processor, the accuracy of vehicle compressor fault warning can be improved.

[0086] In another embodiment, a computer-readable storage medium stores computer program instructions that, when executed by a processor, implement the steps of the method in the corresponding embodiment of the vehicle fault warning method. Those skilled in the art will understand that embodiments of this disclosure can be provided as methods, apparatus, or computer program products. Therefore, this disclosure can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this disclosure can take the form of a computer program product embodied on one or more computer-usable non-transitory storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0087] This disclosure is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this disclosure. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a machine for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0088] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0089] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0090] This concludes the detailed description of the present disclosure. To avoid obscuring the concept of the disclosure, some details known in the art have not been described. Those skilled in the art will fully understand how to implement the technical solutions disclosed herein based on the above description.

[0091] The methods and apparatus of this disclosure may be implemented in many ways. For example, they may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order of steps for the methods is for illustrative purposes only, and the steps of the methods of this disclosure are not limited to the order specifically described above unless otherwise specifically stated. Furthermore, in some embodiments, this disclosure may also be implemented as a program recorded on a recording medium, the program including machine-readable instructions for implementing the methods according to this disclosure. Thus, this disclosure also covers recording media storing programs for performing the methods according to this disclosure.

[0092] It should be noted that the terms "first," "second," etc., used in the specification, claims, and drawings of this disclosure 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 disclosure 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.

[0093] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this disclosure and not to limit them; although this disclosure has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications can still be made to the specific implementation of this disclosure or equivalent substitutions can be made to some technical features without departing from the spirit of the technical solutions of this disclosure, and all such modifications and substitutions should be covered within the scope of the technical solutions claimed in this disclosure.

Claims

1. A vehicle fault early warning method, comprising: Obtain compressor operating data; Based on operating condition data and the compressor's trouble-free operating time, the total life loss of the compressor is determined, wherein the trouble-free operating time is related to the operating conditions. Obtain the upper limit of the lifespan of the compressor of the vehicle, wherein the upper limit of the lifespan is determined based on the compressor's lost lifespan at the time of the malfunction of the vehicle model; Based on the total lifespan loss and the upper limit of lifespan, a failure risk is determined.

2. The vehicle fault early warning method according to claim 1, wherein, The determination of the total lifespan loss of the compressor based on operating condition data and the compressor's trouble-free operating time includes: Determine the real-time operating conditions at the time of detection; Based on the correspondence between the compressor's fault-free operating time and operating conditions, determine the amount of life loss of the compressor between the current detection time and the most recent detection time under the real-time operating conditions. The total lifetime loss is determined based on the lifetime loss at each of the detection times from the start time to the current time.

3. The vehicle fault early warning method according to claim 2, wherein, The determination of the compressor's lifespan loss between the current detection time and the most recent detection time under the real-time operating condition, based on the correspondence between the compressor's fault-free operating time and operating conditions, includes: Based on the correspondence between the compressor's fault-free operating time and the operating conditions, the fault-free operating time of the compressor under the real-time operating conditions is determined. Based on the fault-free operating time and the time between the current detection time and the most recent detection time, the life loss of the compressor between the current detection time and the most recent detection time is determined.

4. The vehicle fault early warning method according to any one of claims 1-3, wherein, The determination of the total lifespan loss of the compressor based on operating condition data and the compressor's trouble-free operating time includes: Real-time operating conditions are acquired at the first detection moment; Based on the correspondence between the compressor's fault-free operating time and operating conditions, determine the first life loss of the compressor between the first detection time and the start time. At the i-th detection time, the real-time operating conditions are obtained, where i is a positive integer greater than or equal to 2; Based on the correspondence between the compressor's fault-free operating time and operating conditions, determine the compressor's life loss amount at the i-th detection time and the (i-1)-th detection time. The sum of the life loss from the first to the i-th test is taken as the total life loss of the compressor at the i-th test time.

5. The vehicle fault early warning method according to claim 1, wherein, The operating data includes at least one of the compressor speed or compressor discharge temperature.

6. The vehicle fault early warning method according to claim 1, wherein, The process of obtaining the upper limit of the lifespan of the vehicle's compressor includes: The compressors of multiple vehicles of the same model as the vehicle were found to have lost their lifespan when the malfunction occurred. Based on a predetermined algorithm, the compressor's lifespan is processed according to various faults, and the upper limit of the compressor's lifespan is obtained.

7. The vehicle fault early warning method according to claim 6, wherein, The compressor's lifespan has been lost when the malfunction occurs, which is the total lifespan loss when the compressor malfunctions.

8. The vehicle fault early warning method according to claim 1, 6 or 7, wherein, The determination of the risk of failure based on the total lifespan loss and the upper limit of lifespan includes: If the total lifespan loss is greater than or equal to a predetermined percentage of the upper lifespan limit, a failure risk is determined to exist.

9. The vehicle fault early warning method according to claim 1, further comprising: Based on the manufacturer's test data, the fault-free operating time of the compressor under each operating condition was obtained.

10. The vehicle fault early warning method according to claim 1, further comprising: If a risk of failure is identified, perform at least one of the following: The thermal management system has entered protection mode. Reduce the speed of the compressor to a predetermined safe speed; Send vehicle malfunction warning messages to users.

11. A vehicle fault warning device, comprising: The data acquisition module is configured to acquire the compressor's operating condition data; The prediction module is configured to determine the total life loss of the compressor based on operating condition data and the compressor's fault-free operating time, wherein the compressor's fault-free operating time is related to the operating conditions. The lifespan limit determination module is configured to obtain the lifespan limit of the compressor of the vehicle, wherein the lifespan limit is determined based on the compressor's lost lifespan at the time of failure for the vehicle model. The fault risk determination module is configured to determine the existence of fault risk based on the total lifespan loss and the lifespan limit.

12. The vehicle fault warning device according to claim 10, further comprising: The basic life configuration unit is configured to obtain the fault-free operating time of the compressor under each operating condition based on the manufacturer's test data.

13. A vehicle fault warning device, comprising: Memory; as well as A processor coupled to the memory, the processor being configured to execute the vehicle fault warning method as described in any one of claims 1 to 10 based on instructions stored in the memory.

14. A computer-readable storage medium having stored thereon computer instructions that, when executed by a processor, implement the vehicle fault warning method according to any one of claims 1 to 10.

15. A computer program product comprising a computer program or instructions that, when executed by a processor, implement the vehicle fault warning method according to any one of claims 1 to 10.

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