A vehicle current abnormal sound troubleshooting method and device, vehicle and storage medium

Abstract

The application discloses a vehicle current abnormal sound troubleshooting method and device, a vehicle and a storage medium. The method comprises the following steps: acquiring the generation probability of current abnormal sound of a plurality of electric objects in a target vehicle; in response to the existence of current abnormal sound in the target vehicle, the power supply of the corresponding electric object is sequentially cut off in the order of the generation probability from large to small until the current abnormal sound disappears, and the electric object that makes the current abnormal sound disappear after the power supply is cut off is determined as the abnormal sound source. Through the above method, the accuracy and efficiency of current abnormal sound troubleshooting can be improved.

Description

Technical Field

[0001] This application relates to the field of automotive technology, and in particular to a method, device, vehicle, and storage medium for troubleshooting abnormal electrical noises in vehicles. Background Technology

[0002] New energy vehicles are powered by high-voltage electricity. Under normal operating conditions—when powered on and stationary, at low speeds, and during medium-speed driving—the various electrical components within the vehicle (such as the on-board charger, DC-DC converter, air conditioning compressor, and inverter) should operate smoothly with minimal noise. However, if a fault occurs within these components (e.g., aging coils, loose components, abnormal insulation, damaged filter capacitors, or poor wiring connections), the high-voltage current transmission will experience unstable fluctuations, producing high-frequency, buzzing, or piercing electrical noises. Failure to promptly identify the source of these noises can negatively impact the physical and mental health of the vehicle owner and occupants. Summary of the Invention

[0003] The main technical problem addressed by this application is to provide a method, device, vehicle, and storage medium for troubleshooting abnormal current noises in vehicles, which can improve the accuracy and efficiency of troubleshooting abnormal current noises.

[0004] The first aspect of this application provides a method for troubleshooting abnormal electrical noise in a vehicle. The method includes: obtaining the probability of abnormal electrical noise generated by several electrical objects in the target vehicle; in response to the presence of abnormal electrical noise in the target vehicle, sequentially cutting off the power supply to the corresponding electrical objects in descending order of the probability of generation, until the abnormal electrical noise disappears, and identifying the electrical object that causes the abnormal electrical noise to disappear after cutting off the power supply as the source of the abnormal noise.

[0005] The plurality of electrical objects include at least one of a first type of object and a second type of object, wherein the first type of object is a single electrical device and the second type of object is a combination of at least two electrical devices.

[0006] The plurality of electrical objects include a first type of object and a second type of object; the step of sequentially cutting off the power supply to the corresponding electrical objects in descending order of the probability of occurrence until the abnormal current noise disappears includes: firstly cutting off the power supply to the corresponding first type of object in descending order of the probability of occurrence of the first type of object, and then cutting off the power supply to the corresponding second type of object in descending order of the probability of occurrence of the second type of object, until the abnormal current noise disappears.

[0007] The step of sequentially cutting off the power supply to the corresponding electrical objects according to the order of occurrence from high to low, until the abnormal current noise disappears, includes: when the several electrical objects are all of the second type, dividing the several second type objects into multiple groups of second type objects, and determining the investigation order of each group of second type objects. The number of electrical devices contained in the same group of second type objects is the same, and the number of electrical devices contained in different groups of second type objects is different. The investigation order of each group of second type objects is related to the number of electrical devices corresponding to the group of second type objects; sequentially taking each group of second type objects as the current group of second type objects according to the investigation order, and making the following determination for the current group of second type objects: sequentially cutting off the power supply to the current group of second type objects according to the order of occurrence from high to low.

[0008] Among them, the second category of objects in the group with fewer electrical components is investigated before the second category of objects in the group with more electrical components.

[0009] Specifically, after cutting off the power supply to the electrical object, the power supply to the electrical object is restored in response to the fact that the abnormal current noise has not disappeared.

[0010] The abnormal current noise includes current sound.

[0011] The second aspect of this application provides a vehicle current abnormal noise troubleshooting device, which includes an acquisition module and a determination module; the acquisition module is used to acquire the probability of several electrical objects in the target vehicle generating current abnormal noise; the determination module is used to, in response to the existence of current abnormal noise in the target vehicle, sequentially cut off the power supply to the corresponding electrical objects in descending order of the generation probability until the current abnormal noise disappears, and determine the electrical object that causes the current abnormal noise to disappear after cutting off the power supply as the source of the abnormal noise.

[0012] A third aspect of this application provides a vehicle including a memory and a processor, wherein the memory stores program instructions and the processor executes the program instructions to implement the above-described method for troubleshooting abnormal vehicle current noise.

[0013] A fourth aspect of this application provides a computer-readable storage medium for storing program instructions that can be executed to implement the above-described method for troubleshooting abnormal vehicle current noise.

[0014] The above technical solution cuts off the power supply to the corresponding electrical objects in the target vehicle in descending order of the probability of generating abnormal current noise. This prioritizes power outages to investigate the electrical object most likely to be causing the abnormal current noise, reducing ineffective power outage investigations and shortening the time to locate or lock the source of the noise. This achieves rapid and accurate location or locking of the source of the noise, thus improving the accuracy and efficiency of abnormal current noise investigation. Attached Figure Description

[0015] Figure 1 This is a flowchart illustrating an embodiment of the vehicle electrical noise troubleshooting method provided in this application; Figure 2 This is a schematic diagram of the structure of an embodiment of the vehicle current abnormal noise troubleshooting device provided in this application; Figure 3 This is a schematic diagram of the structure of an embodiment of the vehicle provided in this application; Figure 4 This is a schematic diagram of an embodiment of the computer-readable storage medium provided in this application. Detailed Implementation

[0016] The embodiments of this application will now be described in detail with reference to the accompanying drawings. In the following description, specific details such as particular system architectures, interfaces, and technologies are set forth for illustrative purposes rather than for limiting purposes, in order to provide a thorough understanding of this application.

[0017] In this document, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " generally indicates that the preceding and following related objects have an "or" relationship. Furthermore, "many" in this document means two or more. Moreover, the term "at least one" in this document means any combination of at least two of any one or more of a plurality of objects. For example, including at least one of A, B, and C can mean including any one or more elements selected from the set consisting of A, B, and C.

[0018] Please see Figure 1 , Figure 1 This is a flowchart illustrating an embodiment of the vehicle electrical noise troubleshooting method provided in this application. It should be noted that if substantially the same result is obtained, this embodiment is not necessarily identical. Figure 1 The illustrated process sequence is limited. For example... Figure 1 As shown, this embodiment includes: Step S11: Obtain the probability of abnormal electrical noises generated by several electrical objects inside the target vehicle.

[0019] New energy vehicles are powered by high-voltage electricity. Under normal operating conditions—when powered on and stationary, at low speeds, and during medium-speed driving—the various electrical components within the vehicle (such as the on-board charger, DC-DC converter, air conditioning compressor, and inverter) should operate smoothly with minimal noise. However, if a fault occurs within these components (e.g., aging coils, loose components, abnormal insulation, damaged filter capacitors, or poor wiring connections), the high-voltage current transmission will experience unstable fluctuations, producing high-frequency, buzzing, or piercing electrical noises. If this high-frequency noise persists, users may experience auditory discomfort and irritability while in the vehicle for extended periods, and in severe cases, tinnitus may develop.

[0020] It should be noted that when a new energy vehicle is driving at high speed, the motor and environmental noise (such as road noise and wind noise) will mask the faint abnormal current noise. However, when a new energy vehicle is powered on and stationary, or at low or medium speeds, the overall vehicle environmental noise is low, and the working sound of the high-voltage electrical components will be fully highlighted. At this time, the high-voltage system continuously outputs current at low load, and the current oscillation and electromagnetic vibration of the faulty electrical components will be amplified. The piercing buzzing / humming current sound will be clearly transmitted into the vehicle's cabin. In other words, the abnormal current noise will be clearly transmitted into the vehicle's cabin.

[0021] Therefore, in this embodiment, the probability of several electrical objects in the target vehicle generating abnormal current noise is obtained, so that when abnormal current noise is present in the target vehicle, the electrical object generating the abnormal current noise can be quickly and accurately located or locked based on the probability of several electrical objects in the target vehicle generating abnormal current noise. That is, the source of the abnormal noise can be quickly and accurately located or locked, thus improving the accuracy and efficiency of abnormal current noise investigation.

[0022] It should be noted that the electrical components causing abnormal electrical noises in different vehicle models can be different, the same, or partially different and partially the same. Furthermore, the probability of the same electrical component causing abnormal electrical noises can be different or the same in different vehicle models.

[0023] In one embodiment, in response to the user selecting a target vehicle model, the probability of abnormal current noise generated by several electrical objects corresponding to the target vehicle model is obtained. By retrieving the probability of abnormal current noise from several electrical objects specific to the target vehicle model selected by the user, the system can combine the differentiated probability data of abnormal current noise from different vehicle models, avoiding the sorting bias caused by using a uniform, universal probability value, and improving the accuracy of noise source identification.

[0024] In one embodiment, the abnormal electrical noise can be an electrical sound.

[0025] Step S12: In response to the presence of abnormal electrical noise in the target vehicle, the power supply to the corresponding electrical objects is cut off in descending order of probability of occurrence until the abnormal electrical noise disappears. The electrical object whose abnormal electrical noise disappears after the power supply is cut off is identified as the source of the abnormal noise.

[0026] In this embodiment, in response to the presence of abnormal electrical noise within the target vehicle, the power supply to the corresponding electrical components is sequentially cut off in descending order of probability of occurrence until the abnormal noise disappears. The electrical component whose abnormal noise disappears after power cut-off is identified as the source of the noise. Abnormal electrical noise is a fault phenomenon caused by electrical components within the target vehicle. The probability of an electrical component generating abnormal electrical noise indicates the likelihood that the component is the source of the noise; the higher the probability, the greater the likelihood that the component is the source. By sequentially cutting off the power supply to the corresponding electrical components within the target vehicle in descending order of probability of generating abnormal electrical noise, priority is given to identifying the most likely source of the noise. This reduces ineffective power-off troubleshooting operations, shortens the time required to locate or pinpoint the source of the noise, and achieves rapid and accurate location or pinpointing of the noise source, thus improving the accuracy and efficiency of abnormal electrical noise troubleshooting.

[0027] In one embodiment, the power supply to the corresponding electrical objects is sequentially cut off in descending order of probability of occurrence until the abnormal current noise disappears. The electrical object whose abnormal current noise disappears after the power supply is cut off is identified as the source of the abnormal noise. Specifically, this may include: taking the highest probability of occurrence as the current probability, cutting off the power supply to the electrical object corresponding to the current probability; in response to the abnormal current noise not disappearing, determining a new current probability, and re-executing the steps of cutting off the power supply to the electrical object corresponding to the current probability and the subsequent steps until the abnormal current noise disappears. The electrical object whose abnormal current noise disappears after the power supply is cut off is identified as the source of the abnormal noise.

[0028] In other words, if the abnormal electrical noise in the target vehicle disappears after the power supply to the device corresponding to the current probability is cut off, then the device corresponding to the current probability is identified as the source of the noise. Furthermore, if the abnormal electrical noise in the target vehicle disappears after the power supply to the device corresponding to the current probability is cut off, then the operation of cutting off power to subsequent devices corresponding to the current probability should cease. If the abnormal electrical noise in the target vehicle does not disappear after the power supply to the device corresponding to the current probability is cut off, it indicates that the device corresponding to the current probability is not the source of the noise. Therefore, a new current probability (i.e., the next current probability) needs to be determined, and the power supply to the device corresponding to the current probability and subsequent steps should be repeated until the abnormal electrical noise disappears. The device whose abnormal electrical noise disappears after power supply is cut off is identified as the source of the noise.

[0029] In one specific implementation, after cutting off the power supply to the electrical object corresponding to the current probability, in response to the current abnormal noise not disappearing within a preset time period, a new current probability is determined, and the power supply to the electrical object corresponding to the current probability and subsequent steps are re-executed until the current abnormal noise disappears. The electrical object whose current abnormal noise disappears after cutting off the power supply is determined as the source of the abnormal noise. In response to the current abnormal noise disappearing within a preset time period, the electrical object corresponding to the current probability is determined as the source of the abnormal noise.

[0030] A preset timeout is set. If the abnormal current noise persists within this preset timeout, the system switches to the next level of electrical appliance with the highest probability of occurrence for power outage troubleshooting, or in other words, abnormal current noise troubleshooting. This provides a sufficient judgment window, avoiding misjudgments caused by power outage actions, voltage fluctuations in the vehicle's power supply circuit, and power outage delays of the electrical appliance, ensuring the accuracy and reliability of the current noise troubleshooting results. Vehicle electrical appliances contain energy storage components such as drive circuits, inductors, and capacitors. After power is cut off, these appliances do not instantly release residual energy, and the abnormal current noise they produce does not disappear immediately. If the noise status is immediately determined after power outage, it is easy to misjudge the electrical appliance as not being the source of the noise due to residual current or transient residual noise, leading to incorrect troubleshooting results. By setting a preset timeout, allowing the power supply circuit voltage to stabilize and residual electromagnetic noise from the electrical appliance to completely dissipate before confirming whether the abnormal current noise has disappeared, the judgment bias caused by instantaneous power outage interference can be eliminated. If the abnormal current noise persists within the preset time period, it indicates that the current power outage investigation or the current current noise investigation target is not the source of the noise. At this time, the system switches to the next power user with a higher probability of occurrence to continue the power outage investigation or current noise investigation. The entire timing logic can ensure that the judgment result of each power user investigation is objective and accurate, avoiding the omission of the real source of the noise due to momentary delay misjudgment, improving the reliability of noise source location or locking, or in other words, improving the reliability and accuracy of current noise investigation.

[0031] There is no limit to the preset duration; it can be set according to actual usage needs. For example, the preset time can be 5 seconds, 10 seconds, or 15 seconds.

[0032] In one embodiment, after cutting off the power supply to the electrical object, the power supply to the electrical object is restored in response to the persistent abnormal current noise. If the abnormal current noise in the target vehicle does not disappear after cutting off the power supply to the electrical object, the power supply to that electrical object is restored. This ensures that each round of power outage investigation, or abnormal current noise investigation, isolates only a single electrical object, forming a single-variable comparison investigation environment. This avoids the simultaneous unloading of multiple loads due to continuous power outages of multiple electrical objects, prevents the superposition of power outages of multiple electrical objects from causing severe fluctuations in bus voltage and coupling of secondary electromagnetic noise, avoids noise interference caused by multiple load power outages, and ensures that the result of abnormal current noise investigation is determined only by the current electrical object. This eliminates the interference of multiple electrical objects coupling on the determination of the noise source, significantly improving the accuracy of noise source location. Simultaneously, it avoids the continuous failure of in-vehicle comfort functions, driving assistance functions, etc., due to long-term power outages of unrelated electrical objects. During the abnormal noise source investigation process, the original electrical functions of the vehicle are preserved to the greatest extent, ensuring the stability of the driving experience and basic driving functions. In addition, there is no need to manually restore the power supply to the electrical object, realizing a fully automatic reset of the troubleshooting process and simplifying the troubleshooting process for abnormal noise sources in the whole vehicle.

[0033] In one embodiment, the plurality of electrical objects include at least one of a first type of object and a second type of object. The first type of object is a single electrical device, and the second type of object is a combination of at least two electrical devices. Dividing electrical objects into a first type of object consisting of a single electrical device and a second type of object consisting of a combination of at least two electrical devices accommodates both independent electrical devices and combinations of multiple electrical devices in the troubleshooting process. This broadens the coverage of abnormal noise source investigation, enabling rapid and accurate identification of complex current abnormal noises induced by the coupling of multiple electrical devices, as well as rapid and accurate identification of current abnormal noises caused by faults in independent electrical devices. This improves the accuracy and efficiency of abnormal noise source identification, or in other words, improves the accuracy and efficiency of current abnormal noise troubleshooting.

[0034] The second type of object can include combinations of 2, 3, 5 or other electrical components, without specific limitations.

[0035] Of course, in other implementations, the power supply to the corresponding second-type objects can be cut off sequentially according to the order of the probability of the second-type objects being generated from high to low, and then the power supply to the corresponding first-type objects can be cut off sequentially according to the order of the probability of the first-type objects being generated from high to low, until the abnormal current noise disappears.

[0036] In one specific implementation, the plurality of electrical objects include a first type of object and a second type of object. In this case, the power supply to the corresponding electrical objects is sequentially cut off according to the order of occurrence probability from highest to lowest, until the abnormal current noise disappears. Specifically, this may include: first, cutting off the power supply to the corresponding first type of object in descending order of occurrence probability, and then cutting off the power supply to the corresponding second type of object in descending order of occurrence probability, until the abnormal current noise disappears. Prioritizing the power outage investigation or abnormal current noise investigation of the first type of object consisting of a single electrical component in descending order of occurrence probability, and then conducting the power outage investigation or abnormal current noise investigation of the second type of object consisting of multiple electrical components in descending order of occurrence probability, follows a hierarchical investigation logic of first conducting precise investigation of single points, and then conducting precise investigation of the whole system. Most abnormal electrical noises in vehicles are caused by individual faults in electrical components. Prioritizing power outage troubleshooting, or troubleshooting the first type of abnormal electrical noise, allows for quick identification of the source of the noise in most fault scenarios, eliminating the need for troubleshooting multiple electrical components and significantly reducing the time spent on troubleshooting abnormal electrical noises. Only when the abnormal electrical noise persists after troubleshooting all individual electrical components should the second type of abnormal electrical noise be investigated. This hierarchical processing mechanism, which enables rapid localization of simple, single-point abnormal electrical noises and rapid localization of complex coupled abnormal electrical noises, improves the accuracy of abnormal electrical noise troubleshooting.

[0037] In one specific implementation, there are multiple second-type objects. The power supply to the corresponding second-type objects is sequentially cut off according to the order of their generation probability from highest to lowest. Specifically, this may include: dividing the multiple second-type objects into multiple groups of second-type objects, and determining the investigation order of each group of second-type objects. The number of electrical devices contained in the same group of second-type objects is the same, while the number of electrical devices contained in different groups of second-type objects is different. The investigation order of each group of second-type objects is related to the number of electrical devices corresponding to the group of second-type objects. Each group of second-type objects is then sequentially selected as the current group of second-type objects according to the investigation order, and the following determination is made for the current group of second-type objects: the power supply to the current group of second-type objects is sequentially cut off according to the order of their generation probability from highest to lowest.

[0038] In one specific implementation, several electrical objects are all classified as second-type objects. In this case, the power supply to the corresponding electrical objects is sequentially cut off according to the order of their occurrence probability from highest to lowest, until the abnormal current noise disappears. Specifically, this may include: dividing the several second-type objects into multiple groups of second-type objects, and determining the investigation order of each group of second-type objects. The number of electrical devices contained in the same group of second-type objects is the same, and the number of electrical devices contained in different groups of second-type objects is different. The investigation order of each group of second-type objects is related to the number of electrical devices corresponding to the group of second-type objects. Each group of second-type objects is then sequentially designated as the current group of second-type objects according to the investigation order, and the following determination is made for the current group of second-type objects: the power supply to the current group of second-type objects is sequentially cut off according to the order of their occurrence probability from highest to lowest.

[0039] When all electrical objects are classified as Category II objects consisting of multiple electrical components, the system first divides these objects into groups based on the number of electrical components they contain and sets a screening order. The number of electrical components within the same Category II object group is consistent, and the screening order is correlated with the number of electrical components within each group. Then, the system iterates through each group of Category II objects according to the screening order. Within each group, the power supply to the corresponding device combination is cut off one by one based on the probability of abnormal current noise generation, from highest to lowest. This hierarchical current noise screening method allows for a gradient approach, from simple to complex, and from small load units to large load integrations. It prioritizes screening device combinations with fewer electrical components, as these smaller combinations have simpler load circuits, less coupling interference, and a higher probability of inducing abnormal current noise. This allows for rapid identification of the noise source in most coupled noise scenarios, avoiding the problems of severe fluctuations in the vehicle busbar, simultaneous failure of numerous vehicle functions, and interference from multiple coupled secondary noises caused by directly cutting off the power to large-scale multi-electrical component combinations for screening. Meanwhile, the group forms an orderly investigation hierarchy based on the number of electrical components, and accurately locates the source of abnormal noise by ranking the probability of abnormal noise generation. It takes into account both large-scale coarse screening and precise investigation of small branch circuits. This not only reduces the large-scale interruption of vehicle functions caused by the simultaneous power failure of multiple electrical components, ensuring the basic performance of the vehicle during the investigation process, but also narrows down the scope of abnormal noise investigation by layer, greatly reducing the time spent locating coupled current abnormal noises, and improving the efficiency and accuracy of automatic diagnosis of abnormal noise sources.

[0040] In one specific implementation, the second category of objects with fewer electrical components is investigated before the second category of objects with more electrical components. Prioritizing the investigation of the second category of objects with fewer electrical components before the group with more electrical components creates a gradient investigation logic that proceeds from small-scale integrated branches to large-scale integrated branches. Combinations with fewer electrical components have simpler internal electrical circuit coupling relationships, resulting in less composite noise from current superposition and magnetic field interference. They are more likely to generate abnormal current noises. Prioritizing power outages for troubleshooting, or rather, troubleshooting abnormal current noises, can quickly pinpoint the source of the noise in most coupled noise fault scenarios. This eliminates the need to directly disconnect the entire vehicle's functional cluster containing a large number of electrical components, significantly reducing ineffective power outage troubleshooting or abnormal current noise troubleshooting operations and shortening the time for noise source location. At the same time, troubleshooting small-scale combinations of electrical components with a single power outage, or rather, troubleshooting abnormal current noises, only disconnects a small number of on-board electrical components. The load fluctuation of the entire vehicle bus is small, making it less likely to generate secondary electromagnetic noises caused by drastic voltage jumps. This can maintain a stable and clean environment for troubleshooting abnormal current noises, avoiding the multiple interference noises caused by the simultaneous power outage of large-scale loads that mask the true abnormal current noises.

[0041] Of course, in other specific implementations, the order of investigation for the second category of objects in the group with fewer electrical components may also be after the order of investigation for the second category of objects in the group with more electrical components, and this is not limited here.

[0042] Please see Figure 2 , Figure 2 This is a schematic diagram of an embodiment of the vehicle current abnormal noise detection device provided in this application. The vehicle current abnormal noise detection device 20 includes an acquisition module 21 and a determination module 22. The acquisition module 21 is used to acquire the probability of generating current abnormal noise from several electrical objects in the target vehicle. The determination module 22 is used to, in response to the existence of current abnormal noise in the target vehicle, sequentially cut off the power supply to the corresponding electrical objects in descending order of probability of generation until the current abnormal noise disappears, and determine the electrical object whose current abnormal noise disappears after cutting off the power supply as the source of the abnormal noise.

[0043] Among them, the aforementioned electricity-consuming objects include at least one of the first type of objects and the second type of objects. The first type of objects are single electrical devices, and the second type of objects are combinations of at least two electrical devices.

[0044] Among them, the aforementioned power-consuming objects include first-class objects and second-class objects; the determining module 22 is used to sequentially cut off the power supply of the corresponding power-consuming objects in descending order of the probability of occurrence until the abnormal current noise disappears, including: firstly cutting off the power supply of the corresponding first-class objects in descending order of the probability of occurrence of the first-class objects, and then cutting off the power supply of the corresponding second-class objects in descending order of the probability of occurrence of the second-class objects until the abnormal current noise disappears.

[0045] The determining module 22 is used to sequentially cut off the power supply to the corresponding electrical objects in descending order of their occurrence probability until the abnormal current noise disappears. This includes: when several electrical objects are all second-type objects, dividing the several second-type objects into multiple groups of second-type objects, and determining the investigation order of each group of second-type objects. The number of electrical devices contained in the same group of second-type objects is the same, and the number of electrical devices contained in different groups of second-type objects is different. The investigation order of each group of second-type objects is related to the number of electrical devices corresponding to the group of second-type objects; according to the investigation order, each group of second-type objects is taken as the current group of second-type objects, and the following determination is made for the current group of second-type objects: the power supply to the current group of second-type objects is sequentially cut off in descending order of their occurrence probability.

[0046] Among them, the investigation order of the second category of objects in the group with fewer electrical components is before that of the second category of objects in the group with more electrical components.

[0047] The determination module 22 is used to restore the power supply to the electrical object after the power supply to the electrical object has been cut off, in response to the current abnormality not disappearing.

[0048] Among these, the aforementioned abnormal electrical noises include electrical hum.

[0049] Please see Figure 3 , Figure 3 This is a schematic diagram of a vehicle embodiment provided in this application. The vehicle 30 includes a memory 31 and a processor 32 coupled to each other. The processor 32 executes program instructions stored in the memory 31 to implement the steps of any of the vehicle current abnormality troubleshooting method embodiments described above. Specifically, the processor 32 controls itself and the memory 31 to implement the steps of any of the vehicle current abnormality troubleshooting method embodiments described above. The processor 32 can also be called a CPU (Central Processing Unit). The processor 32 may be an integrated circuit chip with signal processing capabilities. The processor 32 can also be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. The general-purpose processor can be a microprocessor or any conventional processor. Furthermore, the processor 32 can be implemented using integrated circuit chips.

[0050] Please see Figure 4, Figure 4 This is a schematic diagram of an embodiment of the computer-readable storage medium provided in this application. The computer-readable storage medium 40 of this application embodiment stores program instructions 41. When executed, these program instructions 41 implement the method provided by any embodiment and any non-conflicting combination of the vehicle current abnormality troubleshooting method of this application. The program instructions 41 can be formed into a program file and stored in the aforementioned computer-readable storage medium 40 in the form of a software product, so that a computer device (which may be a personal computer, server, or network device, etc.) can execute all or part of the steps of the methods of various embodiments of this application. The aforementioned computer-readable storage medium 40 includes various media capable of storing program code, such as a USB flash drive, portable hard drive, read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk, or terminal devices such as computers, servers, mobile phones, and tablets.

[0051] If the technical solution of this application involves personal information, the product using this technical solution has clearly informed the user of the personal information processing rules and obtained the user's voluntary consent before processing the personal information. If the technical solution of this application involves sensitive personal information, the product using this technical solution has obtained the user's separate consent before processing the sensitive personal information, and also meets the requirement of "express consent". For example, at personal information collection devices such as cameras, clear and prominent signs are set up to inform users that they have entered the scope of personal information collection and that personal information will be collected. If an individual voluntarily enters the collection scope, it is deemed that they have agreed to the collection of their personal information; or on the personal information processing device, with clear signs / information informing users of the personal information processing rules, authorization is obtained from the individual through pop-up information or by asking the individual to upload their personal information; wherein, the personal information processing rules may include information such as the personal information processor, the purpose of personal information processing, the processing method, and the types of personal information processed.

[0052] The above description is merely an embodiment of this application and does not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. A method for troubleshooting abnormal electrical noises in vehicles, characterized in that, The method includes: Obtain the probability of abnormal electrical noises generated by several electrical objects inside the target vehicle; In response to the presence of abnormal electrical noise within the target vehicle, the power supply to the corresponding electrical objects is sequentially cut off in descending order of the probability of occurrence until the abnormal electrical noise disappears. The electrical object whose abnormal electrical noise disappears after the power supply is cut off is identified as the source of the abnormal noise.

2. The method according to claim 1, characterized in that, The plurality of electrical objects include at least one of a first type of object and a second type of object, wherein the first type of object is a single electrical device and the second type of object is a combination of at least two electrical devices.

3. The method according to claim 2, characterized in that, The plurality of electrical objects include a first type of object and a second type of object; the step of sequentially cutting off the power supply to the corresponding electrical objects in descending order of the probability of occurrence until the abnormal current noise disappears includes: First, cut off the power supply to the corresponding first-type objects in descending order of their generation probability. Then, cut off the power supply to the corresponding second-type objects in descending order of their generation probability, until the abnormal current noise disappears.

4. The method according to claim 2, characterized in that, The step of sequentially cutting off the power supply to the corresponding electrical appliances in descending order of probability of occurrence until the abnormal current noise disappears includes: When all of the several electricity-consuming objects are of the second type, the several second type objects are divided into multiple groups of second type objects, and the investigation order of each group of second type objects is determined. The number of electrical devices contained in the same group of second type objects is the same, and the number of electrical devices contained in different groups of second type objects is different. The investigation order of each group of second type objects is related to the number of electrical devices corresponding to the group of second type objects. According to the investigation order, each group of second-type objects is taken as the current group of second-type objects, and the following determination is made for the current group of second-type objects: the power supply of the current group of second-type objects is cut off in descending order of the probability of their occurrence.

5. The method according to claim 4, characterized in that, The second category of objects in the group with fewer electrical components is investigated before the second category of objects in the group with more electrical components.

6. The method according to claim 1, characterized in that, The method further includes: After the power supply to the electrical appliance is cut off, the power supply to the electrical appliance is restored in response to the fact that the abnormal current noise has not disappeared.

7. The method according to claim 1, characterized in that, The abnormal electrical noise includes electrical sounds.

8. A device for troubleshooting abnormal electrical noises in vehicles, characterized in that, The device includes: The acquisition module is used to acquire the probability of abnormal electrical noises generated by several electrical objects inside the target vehicle. The determination module is used to respond to the presence of abnormal electrical noise in the target vehicle, and sequentially cut off the power supply to the corresponding electrical objects in descending order of the probability of occurrence until the abnormal electrical noise disappears, and determine the electrical object that makes the abnormal electrical noise disappear after cutting off the power supply as the source of the abnormal noise.

9. A vehicle, characterized in that, The vehicle includes a memory and a processor. The memory stores program instructions, and the processor executes the program instructions to implement the vehicle current abnormal noise troubleshooting method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium is used to store program instructions that can be executed to implement the vehicle current abnormal noise troubleshooting method as described in any one of claims 1-7.

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