Fault detection method, device and equipment for low-voltage power distribution loop of vehicle and medium

By obtaining the vehicle's ambient temperature and humidity to correct the abnormal current range of the low-voltage distribution circuit, the problem of traditional vehicle low-voltage distribution systems being unable to detect faults in a timely manner is solved, and real-time fault detection and improved accuracy are achieved.

CN120703492APending Publication Date: 2025-09-26CHONGQING CHANGAN AUTOMOBILE CO LTD
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Patent Information

Application Number
CN202510872528.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-26
Publication Date
2025-09-26

AI Technical Summary

Technical Problem

Traditional vehicle low-voltage power distribution systems are unable to detect faults in a timely manner, resulting in delayed problem resolution. They are unable to provide real-time fault information and rely on fuse boxes and simple fuse protection.

Method used

By obtaining the vehicle's ambient temperature and humidity, combined with vehicle model information, the abnormal current range of the low-voltage distribution circuit is corrected, and the current value is detected in real time to see if it is within the correction range, and a fault prompt message is output.

Benefits of technology

It realizes timely detection of low-voltage distribution circuit faults, improves the accuracy and timeliness of detection, avoids misjudgment, and provides different levels of early warning and automatic cut-off functions.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention provides a fault detection method, device and equipment for a vehicle low-voltage power distribution loop and a medium, and is applied to the technical field of vehicle fault detection. The method comprises the steps that the environment temperature and the environment humidity of a target vehicle and the current value of a low-voltage power distribution loop in the target vehicle are obtained; determining an abnormal current interval of the low-voltage power distribution loop according to the vehicle type of the target vehicle; correcting the abnormal current interval according to the environment temperature and the environment humidity to obtain an abnormal current correction interval of the low-voltage power distribution loop; and if the current value is in the abnormal current correction interval, determining that the low-voltage power distribution loop has a fault, and outputting a fault prompt message. According to the method, when any low-voltage power distribution loop is abnormal, the abnormity can be detected in time. In addition, the abnormal current interval is corrected based on the temperature and the humidity, and the detection accuracy can be improved.
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Description

Technical Field

[0001] The present invention relates to the technical field of vehicle fault detection, and in particular to a fault detection method, device, equipment and medium for a vehicle low-voltage power distribution circuit. Background Art

[0002] With the continuous advancement of automotive technology, the complexity and safety requirements of automotive electrical systems are also increasing.

[0003] Traditional power distribution systems typically rely on fuse boxes and simple fuse protection. When a short circuit or overload occurs, the fuse box will blow. However, this method cannot provide real-time fault information. Drivers often cannot discover problems in time and must wait until obvious functional abnormalities occur before going to after-sales service for inspection to discover the problem, which delays the time it takes to resolve the problem.

[0004] Therefore, how to detect low-voltage distribution line faults in a timely manner is an urgent problem to be solved. Summary of the Invention

[0005] One objective of the present invention is to provide a method for detecting a fault in a vehicle's low-voltage power distribution circuit, thereby resolving the problem in the prior art of failing to promptly detect a fault in a low-voltage power distribution circuit. A second objective is to provide a device for detecting a fault in a vehicle's low-voltage power distribution circuit. A third objective is to provide an electronic device, which may be a cloud server or a vehicle controller. A fourth objective is to provide a storage medium.

[0006] In order to achieve the above object, the technical solution adopted by the present invention is as follows:

[0007] In a first aspect, the present application provides a method for detecting a fault in a vehicle low-voltage power distribution circuit, the method comprising:

[0008] Obtaining the ambient temperature and humidity of the target vehicle and the current value of the low-voltage power distribution circuit in the target vehicle;

[0009] Determining an abnormal current range of the low-voltage power distribution circuit according to the model of the target vehicle;

[0010] Correcting the abnormal current interval according to the ambient temperature and the ambient humidity to obtain an abnormal current correction interval of the low-voltage power distribution circuit;

[0011] If the current value is within the abnormal current correction interval, it is determined that a fault exists in the low-voltage power distribution circuit, and a fault prompt message is output.

[0012] Furthermore, the abnormal current interval is corrected according to the ambient temperature and the ambient humidity to obtain the abnormal current correction interval of the low-voltage power distribution circuit, including:

[0013] determining a first current correction coefficient according to the ambient temperature, wherein the first current correction coefficient is less than or equal to 1;

[0014] determining a second current correction coefficient according to the ambient humidity, wherein the second current correction coefficient is greater than or equal to 1;

[0015] The abnormal current interval is corrected according to the first current correction coefficient and the second current correction coefficient to obtain the abnormal current correction interval of the low-voltage power distribution circuit.

[0016] Furthermore, the abnormal current interval is corrected according to the first current correction coefficient and the second current correction coefficient to obtain the abnormal current correction interval of the low-voltage power distribution circuit, including:

[0017] multiplying the upper threshold of the abnormal current interval by the first current correction coefficient and by the second current correction coefficient to obtain the upper threshold of the abnormal current correction interval;

[0018] The lower limit threshold of the abnormal current interval is multiplied by the first current correction coefficient and the second current correction coefficient to obtain the lower limit threshold of the abnormal current correction interval.

[0019] Furthermore, determining the first current correction coefficient according to the ambient temperature includes:

[0020] If the ambient temperature is less than or equal to a preset temperature, determining that the first current correction coefficient is equal to 1;

[0021] If the ambient temperature is greater than the preset temperature, the first current correction coefficient is determined according to a preset mapping relationship between temperature and coefficient, and the first current correction coefficient is less than 1. In the mapping relationship, the ambient temperature and the first current correction coefficient are negatively correlated.

[0022] Furthermore, determining the second current correction coefficient according to the ambient humidity includes:

[0023] If the ambient humidity is less than or equal to a preset humidity, determining that the second current correction coefficient is equal to 1;

[0024] If the ambient humidity is greater than the preset humidity, the second current correction coefficient is determined according to a preset mapping relationship between humidity and coefficients, the first current correction coefficient is greater than 1, and in the mapping relationship, the ambient humidity and the second current correction coefficient are positively correlated.

[0025] Furthermore, determining the abnormal current range of the low-voltage power distribution circuit according to the model of the target vehicle includes:

[0026] Obtaining an average current value of the low-voltage power distribution circuit of a plurality of vehicles of the same model as the target vehicle;

[0027] The abnormal current interval is determined according to the average current value and a preset error range.

[0028] Furthermore, the method further comprises:

[0029] Obtaining the switch status of the low-voltage power distribution circuit;

[0030] If the switch state indicates that the low-voltage power distribution circuit is in a conducting state, enabling fault detection of the low-voltage power distribution circuit;

[0031] If the switch state indicates that the low-voltage power distribution circuit is in a disconnected state, the fault detection of the low-voltage power distribution circuit is canceled.

[0032] In a second aspect, the present application provides a fault detection device for a vehicle low-voltage power distribution circuit, the device comprising:

[0033] An acquisition module is used to obtain the ambient temperature and humidity of the target vehicle and the current value of the low-voltage power distribution circuit in the target vehicle;

[0034] A determination module, configured to determine an abnormal current interval of the low-voltage power distribution circuit according to the model of the target vehicle;

[0035] a correction module, configured to correct the abnormal current interval according to the ambient temperature and the ambient humidity to obtain an abnormal current correction interval of the low-voltage power distribution circuit;

[0036] A fault output module is used to determine that a fault exists in the low-voltage power distribution circuit if the current value is within the abnormal current correction interval, and output a fault prompt message.

[0037] In a third aspect, the present application provides an electronic device, comprising: a memory, a processor;

[0038] The memory stores computer-executable instructions;

[0039] The processor executes the computer-executable instructions stored in the memory, so that the processor performs the method as described in any one of the first aspects.

[0040] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, they are used to implement the method as described in any one of the first aspects.

[0041] The present application provides a method, device, equipment and medium for fault detection of a vehicle low-voltage power distribution circuit. The method includes: obtaining the ambient temperature, ambient humidity and current value of the low-voltage power distribution circuit of the target vehicle; determining the abnormal current interval of the low-voltage power distribution circuit according to the model of the target vehicle; correcting the abnormal current interval according to the ambient temperature and the ambient humidity to obtain the abnormal current correction interval of the low-voltage power distribution circuit; if the current value is in the abnormal current correction interval, it is determined that there is a fault in the low-voltage power distribution circuit, and a fault prompt message is output. Through the above method, when an abnormality occurs in any low-voltage power distribution circuit, it can be detected in time. In addition, correcting the abnormal current interval based on temperature and humidity can improve detection accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] 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.

[0043] Figure 1 This is a schematic diagram of an application scenario of a fault detection method for a vehicle low-voltage power distribution circuit of the present application;

[0044] Figure 2 A flow chart of a method for fault detection of a vehicle low-voltage power distribution circuit provided in this application;

[0045] Figure 3 This is a schematic diagram of the structure of the fault detection device for the vehicle low-voltage power distribution circuit provided by this application;

[0046] Figure 4 Schematic diagram of the positional relationship between the transparent layer and the electrochromic film.

[0047] The above drawings illustrate specific embodiments of the present application, which will be described in more detail below. These drawings and the textual description are not intended to limit the scope of the present application in any way, but rather to illustrate the concepts of the present application to those skilled in the art by reference to specific embodiments. DETAILED DESCRIPTION

[0048] The following describes the embodiments of the present invention with reference to the accompanying drawings and preferred embodiments. Those skilled in the art will readily appreciate the other advantages and benefits of the present invention from the disclosure herein. The present invention may also be implemented or applied through various other specific embodiments, and the various details in this specification may be modified or altered based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are intended only to illustrate the present invention and are not intended to limit the scope of protection of the present invention.

[0049] Traditional automotive power distribution systems typically use fuse boxes for power distribution and rely on local sensors and historical fault diagnosis for monitoring. This presents the following problems:

[0050] Diagnostic information is not intuitive: Each electronic controller records faults such as communication timeouts and response errors of the other controller through diagnostic codes (DTCs). It is impossible to directly point out which power distribution circuit has an abnormality. Problem analysis must rely on manual step-by-step investigation.

[0051] Delayed problem resolution: In traditional power distribution systems, drivers often fail to detect problems such as wiring harness compression, damage, or load aging. They must wait until obvious functional abnormalities are detected before they can be retrieved by after-sales service, leading to delayed resolution. After-sales service personnel may not be able to replicate the problem, leading to missed inspections.

[0052] Therefore, this application proposes a fault detection method for a vehicle's low-voltage power distribution circuit. This method collects the current value of each low-voltage power distribution circuit in the vehicle and, based on the vehicle's ambient temperature and humidity, calibrates the normal and abnormal current ranges for each circuit of the vehicle model. Based on the calibrated data, it determines whether each low-voltage power distribution circuit has a fault. This solution not only allows for timely detection of faults as they occur, but also improves the accuracy of fault identification by considering the effects of ambient temperature and humidity on current.

[0053] Figure 1 This is a schematic diagram of an application scenario of a fault detection method for a vehicle low-voltage power distribution circuit of this application. Figure 1 In this scenario, the cloud server is the primary executor. The vehicle may include one or more power distribution controllers, each of which manages multiple low-voltage distribution circuits. The vehicle controller acquires data from each low-voltage distribution circuit and transmits it to the cloud server, which performs fault detection. Communication can be via 4G or 5G.

[0054] In the above Figure 1 In the embodiment, the execution entity of the fault detection is the cloud server. In some other embodiments, the execution entity may also be a vehicle controller, such as a vehicle controller, which performs fault detection based on the data of the power distribution circuit collected by itself.

[0055] The following cloud server serves as the execution entity, and a detailed description of the technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems is provided in detail using specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of this application will be described below in conjunction with the accompanying drawings.

[0056] Figure 2This is a flow chart of a method for fault detection of a vehicle low-voltage power distribution circuit provided by this application, such as Figure 2 As shown, the method includes:

[0057] S101. Obtain the ambient temperature and humidity of a target vehicle and the current values ​​of the low-voltage power distribution circuits of the target vehicle.

[0058] In this step, the cloud server needs to obtain vehicle data for each target vehicle. This vehicle data includes the vehicle's ambient temperature and environmental data, as well as the current value of each low-voltage power distribution circuit in the target vehicle. This vehicle data is used for subsequent low-voltage circuit fault detection. The vehicle can collect the current value of each low-voltage power distribution circuit at a specific moment as the uploaded current value, or it can collect the average value over a period of time as the uploaded current value.

[0059] In one implementation, any vehicle collects its own vehicle data at preset intervals or when triggered by an event, such as when the vehicle is powered on or off, or other events. After the vehicle controller collects the vehicle data, it uploads it to the cloud server.

[0060] In one implementation, a cloud server sends a request to all connected vehicles to obtain vehicle data. Upon receiving the request, each vehicle collects its own vehicle data and uploads it to the server. The cloud server can send the request at preset intervals or trigger it upon detecting a preset event.

[0061] S102: Determine an abnormal current range of a low-voltage power distribution circuit according to the model of the target vehicle.

[0062] In this step, the cloud server will collect vehicle data from multiple vehicles. The current of the same low-voltage distribution circuit may be different for different vehicle models. Therefore, after the cloud server obtains the vehicle data of the target vehicle, the cloud server determines the abnormal current range and normal current range of each low-voltage distribution circuit corresponding to the target vehicle model based on the model of the target vehicle. The current magnitudes of different low-voltage distribution circuits are different. The battery charging circuit is responsible for battery charging, and the current is usually larger. The current of the in-vehicle entertainment system circuit and the headlight circuit is relatively small. For the headlight circuit, the current range of the high beam circuit and the low beam circuit is also different.

[0063] In one implementation, for each vehicle model, at the time of leaving the factory, under a standard temperature and humidity environment, an abnormal current range and a normal current range are preset for each low-voltage power distribution circuit.

[0064] In one implementation, the cloud server obtains data on multiple vehicles of the same model as the target vehicle (for example, the average value of 100 vehicles of the same model), and calculates the average value of the multiple vehicle data as the median value of the normal current range. When calculating the average value, some of the maximum values ​​and some of the minimum values ​​can be removed, and then the average is calculated. After obtaining the average value, the normal current range is determined based on the preset error range of the current fluctuation. Data outside the normal current range can be determined as an abnormal current range. In this implementation, the specific number of multiple vehicle data obtained is not limited, and can be hundreds or thousands of vehicles.

[0065] S103: Correct the abnormal current interval according to the ambient temperature and ambient humidity to obtain the abnormal current correction interval of the low-voltage power distribution circuit.

[0066] In this step, the ambient temperature and humidity are introduced to correct the abnormal current interval and the normal current interval.

[0067] High temperatures can cause changes in the physical properties of cables and electrical components. In particular, the resistance of wires increases as temperature rises. This increased resistance restricts the flow of current, reducing the amount of current flowing in the loop.

[0068] In a humid environment, moisture in the air will make insulating materials (such as the insulation layers of cables, connectors and other electrical components) more conductive by hygroscopic action, which will reduce their insulation resistance and cause the current in the circuit to increase.

[0069] Because of the two factors mentioned above, each factor will cause the upper and lower limits of the normal current range to change, and thus the abnormal current range to change. For example, the normal current range is 2-5A, and the abnormal current range is 0-2A and greater than 5A. Under dry and high temperature conditions, if the current decreases by 10%, the normal current range will be 1.8A-4.5A, and the abnormal current range will be 0-1.8A and greater than 4.5A.

[0070] To quantify the impact of temperature and humidity on normal and abnormal current ranges, two correction coefficients are introduced. The first current correction coefficient is determined based on the ambient temperature. Since higher temperatures reduce current, this first current correction coefficient is less than or equal to 1. The second current correction coefficient is determined based on the ambient humidity. Since higher humidity reduces resistance and increases current, this second current correction coefficient is greater than or equal to 1. The abnormal current range is corrected based on the first and second current correction coefficients to obtain the abnormal current correction range for the low-voltage distribution circuit.

[0071] S104: If the current value is in the abnormal current correction interval, it is determined that a fault exists in the low-voltage power distribution circuit, and a fault prompt message is output.

[0072] If the target vehicle's current value falls within the abnormal current correction range, it indicates a fault in the low-voltage power distribution circuit, possibly due to line aging or a load problem. While the specific fault cannot be pinpointed, the cloud server can identify the specific low-voltage power distribution circuit where the fault has occurred. Upon determining a fault in the low-voltage power distribution circuit, a fault message is output.

[0073] In some embodiments, different interval levels are set in the abnormal current correction interval, for example, the first level is within 10% of the normal current interval, the second level is 10%-50%, and the third level is 50%-100%. When the current value of the target vehicle is detected to be the abnormal first level, it is only recorded and no processing is performed. When the current value of the target vehicle is detected to be the abnormal second level, the faulty low-voltage distribution circuit and the fault prompt message are sent to the vehicle end, asking the driver to pay attention. When the current value of the target vehicle is detected to be the abnormal third level, the faulty low-voltage distribution circuit and the instruction to shut down the low-voltage distribution circuit are sent to the vehicle end, and the vehicle end shuts down the faulty low-voltage distribution circuit according to the instruction. The number of the above-mentioned abnormal levels can be unlimited, and the specific value of each abnormal level is also not limited.

[0074] For example, when the fault reaches level 1 abnormality, a yellow warning is output, instructing the vehicle owner to conduct a self-inspection. When the fault reaches level 2 abnormality, an orange warning is output, prompting the user to schedule a repair. When the fault reaches level 3 abnormality, a red warning is output, instructing the vehicle to automatically shut off the power to the distribution circuit.

[0075] In some embodiments, when a fault is detected in a low-voltage distribution line, the fault data can be stored and marked, and pushed to engineering technicians (such as the terminal of after-sales personnel associated with the target vehicle) to facilitate after-sales personnel to detect the fault in time during subsequent inspections.

[0076] This embodiment provides a method for detecting faults in a vehicle's low-voltage power distribution circuit, the method comprising: obtaining the ambient temperature, ambient humidity, and current value of the low-voltage power distribution circuit in the target vehicle; determining the abnormal current interval of the low-voltage power distribution circuit according to the model of the target vehicle; correcting the abnormal current interval according to the ambient temperature and the ambient humidity to obtain the abnormal current correction interval of the low-voltage power distribution circuit; if the current value is in the abnormal current correction interval, it is determined that there is a fault in the low-voltage power distribution circuit, and a fault prompt message is output. Through the above method, when an abnormality occurs in any low-voltage power distribution circuit, it can be detected in time. In addition, correcting the abnormal current interval based on temperature and humidity can improve detection accuracy.

[0077] There are multiple low-voltage power distribution circuits in the vehicle, and the user may not turn on the circuit. For example, if the user does not turn on the high beam, the power distribution circuit for the high beam will not be turned on. However, when collecting current, due to problems such as the zero drift of the ammeter, a weak current may be collected, which will cause the cloud to judge it as an abnormal current. Therefore, the switch status of each power distribution circuit in the power distribution controller (that is, the enable status of each circuit) needs to be collected during the collection process. When the switch status indicates that the low-voltage power distribution circuit is in the on state, the fault detection of the low-voltage power distribution circuit is enabled. When the switch status indicates that the low-voltage power distribution circuit is in the off state, the fault detection of the low-voltage power distribution circuit is canceled.

[0078] Through the above method, misjudgment caused when the low-voltage power distribution circuit is not opened can be avoided.

[0079] To determine the first current correction coefficient, developers conducted pre-tests on actual vehicles, measuring the current reduction at different temperatures. This mapping relationship was then established between temperature and coefficient. In this mapping, when the ambient temperature is less than or equal to the preset temperature, it is considered normal, and the current does not change significantly with temperature, so the first current correction coefficient is determined to be 1. When the ambient temperature is greater than the preset temperature, the current changes significantly with temperature, and the ambient temperature and the first current correction coefficient are negatively correlated. Higher temperatures reduce the current and, consequently, the first current correction coefficient.

[0080] Similarly, to determine the second current correction coefficient, developers conducted pre-tests on actual vehicles, measuring the current increase at different humidity levels. This mapping relationship was then established between humidity and the coefficient. In this mapping, when the ambient humidity is less than or equal to the preset humidity, it indicates that the humidity is within the normal range, and the current does not change significantly with humidity, so the second current correction coefficient is determined to be equal to 1. When the ambient humidity is greater than the preset humidity, the current changes significantly with humidity, and the ambient humidity and the second current correction coefficient are positively correlated. Higher humidity increases the current and, consequently, the second current correction coefficient.

[0081] After determining the first correction coefficient and the second current correction coefficient, the upper threshold of the abnormal current interval is multiplied by the first current correction coefficient and the second current correction coefficient to obtain the upper threshold of the abnormal current correction interval. The lower threshold of the abnormal current interval is multiplied by the first current correction coefficient and the second current correction coefficient to obtain the lower threshold of the abnormal current correction interval.

[0082] In addition to judging whether a circuit is faulty based on current values, voltage detection can also be combined. Specifically, a fault is determined only when both the current and voltage values ​​in the low-voltage distribution circuit are within an abnormal range.

[0083] If the execution entity in any of the above embodiments is changed to the vehicle controller, the collected information for each power distribution circuit does not need to be uploaded. Instead, the average value of each power distribution circuit, determined by a large amount of vehicle data, needs to be obtained from the cloud periodically or during testing to determine the normal current range and abnormal current range. In some embodiments, the abnormal current range and normal current range can also be obtained without obtaining the information from the cloud server. The vehicle is factory-configured with a normal current range for each power distribution circuit, and this range does not change. This range only needs to be corrected when temperature and humidity are abnormal.

[0084] Figure 3 This is a schematic diagram of the structure of the vehicle low-voltage distribution circuit fault detection device provided by this application, as shown in Figure 3 As shown, the vehicle low-voltage power distribution circuit fault detection device 40 provided in this embodiment includes:

[0085] An acquisition module 401 is configured to acquire the ambient temperature and humidity of a target vehicle and the current value of a low-voltage power distribution circuit in the target vehicle;

[0086] A determination module 402 is configured to determine an abnormal current range of the low-voltage power distribution circuit according to the model of the target vehicle;

[0087] A correction module 403 is configured to correct the abnormal current interval according to the ambient temperature and the ambient humidity to obtain an abnormal current correction interval of the low-voltage power distribution circuit;

[0088] The fault output module 404 is configured to determine that a fault exists in the low-voltage power distribution circuit and output a fault prompt message if the current value is within the abnormal current correction interval.

[0089] Optionally, the correction module 403 is specifically configured to:

[0090] determining a first current correction coefficient according to the ambient temperature, wherein the first current correction coefficient is less than or equal to 1;

[0091] determining a second current correction coefficient according to the ambient humidity, wherein the second current correction coefficient is greater than or equal to 1;

[0092] The abnormal current interval is corrected according to the first current correction coefficient and the second current correction coefficient to obtain the abnormal current correction interval of the low-voltage power distribution circuit.

[0093] Optionally, the correction module 403 is further configured to:

[0094] multiplying the upper threshold of the abnormal current interval by the first current correction coefficient and by the second current correction coefficient to obtain the upper threshold of the abnormal current correction interval;

[0095] The lower limit threshold of the abnormal current interval is multiplied by the first current correction coefficient and the second current correction coefficient to obtain the lower limit threshold of the abnormal current correction interval.

[0096] Optionally, the correction module 403 is further configured to:

[0097] If the ambient temperature is less than or equal to a preset temperature, determining that the first current correction coefficient is equal to 1;

[0098] If the ambient temperature is greater than the preset temperature, the first current correction coefficient is determined according to a preset mapping relationship between temperature and coefficient, and the first current correction coefficient is less than 1. In the mapping relationship, the ambient temperature and the first current correction coefficient are negatively correlated.

[0099] Optionally, the correction module 403 is further configured to:

[0100] If the ambient humidity is less than or equal to a preset humidity, determining that the second current correction coefficient is equal to 1;

[0101] If the ambient humidity is greater than the preset humidity, the second current correction coefficient is determined according to a preset mapping relationship between humidity and coefficients, the first current correction coefficient is greater than 1, and in the mapping relationship, the ambient humidity and the second current correction coefficient are positively correlated.

[0102] Optionally, the determining module 402 is further configured to:

[0103] Obtaining an average current value of the low-voltage power distribution circuit of a plurality of vehicles of the same model as the target vehicle;

[0104] The abnormal current interval is determined according to the average current value and a preset error range.

[0105] Optionally, the acquisition module 401 is further configured to: acquire a switch state of the low-voltage power distribution circuit;

[0106] Accordingly, the determining module 402 is further configured to:

[0107] If the switch state indicates that the low-voltage power distribution circuit is in a conducting state, enabling fault detection of the low-voltage power distribution circuit;

[0108] If the switch state indicates that the low-voltage power distribution circuit is in a disconnected state, the fault detection of the low-voltage power distribution circuit is canceled.

[0109] The fault detection device for the vehicle low-voltage power distribution circuit provided in this embodiment can execute the method provided in the above method embodiment. Its implementation principle and technical effects are similar, and are not described in detail in this embodiment.

[0110] Figure 4 This is a schematic diagram of the structure of the electronic device provided in this application. Figure 4 As shown, the electronic device 50 provided in this embodiment includes: at least one processor 501 and a memory 502. Optionally, the device 50 further includes a communication component 503. The processor 501, the memory 502 and the communication component 503 are connected via a bus 504.

[0111] The electronic device may be a cloud server or a vehicle controller.

[0112] In a specific implementation process, at least one processor 501 executes the computer-executable instructions stored in the memory 502, so that the at least one processor 501 performs the above method.

[0113] The specific implementation process of the processor 501 can be found in the above method embodiment. Its implementation principle and technical effects are similar and will not be repeated here in this embodiment.

[0114] In the above embodiments, it should be understood that the processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. A general-purpose processor may be a microprocessor or any conventional processor. The steps of the method disclosed in the present invention may be directly implemented by a hardware processor or implemented by a combination of hardware and software modules in the processor.

[0115] The memory may include a high-speed memory (Random Access Memory, RAM), and may also include a non-volatile memory (NVM), such as at least one disk memory.

[0116] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus. Buses can be classified into address buses, data buses, and control buses. For ease of illustration, the buses in the drawings of this application are not limited to just one bus or just one type of bus.

[0117] The present application also provides a computer program product, including a computer program, which implements the above method when executed by a processor.

[0118] The present application also provides a computer-readable storage medium, in which computer-executable instructions are stored. When a processor executes the computer-executable instructions, the above method is implemented.

[0119] The above-mentioned readable storage medium can be implemented by any type of volatile or non-volatile memory device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. The readable storage medium can be any available medium that can be accessed by a general-purpose or special-purpose computer.

[0120] An exemplary readable storage medium is coupled to a processor so that the processor can read information from the readable storage medium and write information to the readable storage medium. Of course, the readable storage medium can also be an integral part of the processor. The processor and the readable storage medium can be located in an application specific integrated circuit (ASIC). Of course, the processor and the readable storage medium can also exist in the device as discrete components.

[0121] The division of units is merely a logical functional division; actual implementations may employ alternative divisions, such as combining or integrating multiple units or components into another system, or omitting or disabling certain features. Furthermore, any direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection between devices or units, either through an interface, electrical, mechanical, or other means.

[0122] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0123] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0124] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, and other media that can store program code.

[0125] Those skilled in the art will appreciate that all or part of the steps in the above-described method embodiments can be implemented using hardware associated with program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0126] Finally, it should be noted that those skilled in the art will readily identify other embodiments of the present invention after considering the specification and practicing the invention disclosed herein. The present invention is intended to cover any variations, uses, or adaptations of the present invention that follow the general principles of the present invention and include common knowledge or customary techniques in the art not disclosed herein. The present invention is not limited to the precise structure described above and illustrated in the accompanying drawings, and various modifications and variations may be made without departing from the scope thereof. The scope of the present invention is limited solely by the appended claims.

Claims

1. A method for detecting a fault in a vehicle low-voltage power distribution circuit, characterized in that: The method comprises: Obtaining the ambient temperature and humidity of the target vehicle and the current value of the low-voltage power distribution circuit in the target vehicle; Determining an abnormal current range of the low-voltage power distribution circuit according to the model of the target vehicle; Correcting the abnormal current interval according to the ambient temperature and the ambient humidity to obtain an abnormal current correction interval of the low-voltage power distribution circuit; If the current value is within the abnormal current correction interval, it is determined that a fault exists in the low-voltage power distribution circuit, and a fault prompt message is output.

2. The method according to claim 1, characterized in that The correcting the abnormal current interval according to the ambient temperature and the ambient humidity to obtain the abnormal current correction interval of the low-voltage power distribution circuit includes: determining a first current correction coefficient according to the ambient temperature, wherein the first current correction coefficient is less than or equal to 1; determining a second current correction coefficient according to the ambient humidity, wherein the second current correction coefficient is greater than or equal to 1; The abnormal current interval is corrected according to the first current correction coefficient and the second current correction coefficient to obtain the abnormal current correction interval of the low-voltage power distribution circuit.

3. The method according to claim 2, characterized in that The correcting the abnormal current interval according to the first current correction coefficient and the second current correction coefficient to obtain the abnormal current correction interval of the low-voltage power distribution circuit includes: multiplying the upper threshold of the abnormal current interval by the first current correction coefficient and by the second current correction coefficient to obtain the upper threshold of the abnormal current correction interval; The lower limit threshold of the abnormal current interval is multiplied by the first current correction coefficient and the second current correction coefficient to obtain the lower limit threshold of the abnormal current correction interval.

4. The method according to claim 2, characterized in that The determining of the first current correction coefficient according to the ambient temperature includes: If the ambient temperature is less than or equal to a preset temperature, determining that the first current correction coefficient is equal to 1; If the ambient temperature is greater than the preset temperature, the first current correction coefficient is determined according to a preset mapping relationship between temperature and coefficient, and the first current correction coefficient is less than 1. In the mapping relationship, the ambient temperature and the first current correction coefficient are negatively correlated.

5. The method according to claim 2, characterized in that The determining of the second current correction coefficient according to the ambient humidity includes: If the ambient humidity is less than or equal to a preset humidity, determining that the second current correction coefficient is equal to 1; If the ambient humidity is greater than the preset humidity, the second current correction coefficient is determined according to a preset mapping relationship between humidity and coefficients, the first current correction coefficient is greater than 1, and in the mapping relationship, the ambient humidity and the second current correction coefficient are positively correlated.

6. The method according to any one of claims 1 to 5, characterized in that The determining of the abnormal current range of the low-voltage power distribution circuit according to the model of the target vehicle includes: Obtaining an average current value of the low-voltage power distribution circuit of a plurality of vehicles of the same model as the target vehicle; The abnormal current interval is determined according to the average current value and a preset error range.

7. The method according to any one of claims 1 to 5, characterized in that The method further comprises: Obtaining the switch status of the low-voltage power distribution circuit; If the switch state indicates that the low-voltage power distribution circuit is in a conducting state, enabling fault detection of the low-voltage power distribution circuit; If the switch state indicates that the low-voltage power distribution circuit is in a disconnected state, the fault detection of the low-voltage power distribution circuit is canceled.

8. A fault detection device for a vehicle low-voltage power distribution circuit, characterized in that: The device comprises: An acquisition module is used to obtain the ambient temperature and humidity of the target vehicle and the current value of the low-voltage power distribution circuit in the target vehicle; A determination module, configured to determine an abnormal current interval of the low-voltage power distribution circuit according to the model of the target vehicle; a correction module, configured to correct the abnormal current interval according to the ambient temperature and the ambient humidity to obtain an abnormal current correction interval of the low-voltage power distribution circuit; A fault output module is used to determine that a fault exists in the low-voltage power distribution circuit if the current value is within the abnormal current correction interval, and output a fault prompt message.

9. An electronic device, characterized in that: include: Memory, processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory, so that the processor performs the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 7 when executed by a processor.

Citation Information

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