Method and system for preventing whole vehicle fault based on low-voltage power distribution data

Abstract

The invention relates to a method and a system for preventing faults of a whole vehicle based on low-voltage power distribution data. The method comprises the following steps: S100, collecting real-time low-voltage power supply data of each power distribution loop of the whole vehicle; s200, transmitting the acquired real-time low-voltage power supply data of each power distribution loop to a cloud control platform; s300, analyzing and processing the received low-voltage power supply data, and comparing the low-voltage power supply data of each power distribution loop with the corresponding safety data; s400, judging whether the low-voltage power supply data accords with safety data or not, if so, determining that the loop is normal and executing S100, and if not, marking that the loop is abnormal and executing S500; and S500, the abnormal loop information is fed back to the vehicle-mounted display equipment, and the S100 is executed. According to the method, the purposes of timely feedback and rapid fault positioning are achieved, maintenance processing can be carried out in time before the fault influencing the operation of the whole vehicle occurs, the maintenance efficiency is improved, and the maintenance cost is saved.

Description

Technical Field

[0001] The present invention relates to the field of vehicle control and management, and in particular, to a method for preventing vehicle faults based on low-voltage power distribution data. In addition, it also relates to a system for preventing vehicle faults based on low-voltage power distribution data. Background Art

[0002] In recent years, with the development of technology, the functions of automobiles have also increased, making automobiles develop in the direction of electrification, intelligence, and modularization, making automobiles more functional and comprehensive. These intelligent advancements have also made most of the faults that occur in automobiles electrical faults. As the basis of the vehicle electrical system, once the vehicle power supply system fails, the corresponding functions of the vehicle will not work properly. And due to the complexity and particularity of the vehicle electrical system, it is difficult to troubleshoot and repair the specific problems causing the faults, which requires high skills for after-sales maintenance personnel and results in higher vehicle maintenance costs.

[0003] Therefore, providing a method that can prevent vehicle faults for easy fault finding and after-sales maintenance is an urgent problem to be solved at present. Summary of the Invention

[0004] To solve the problem of finding vehicle power supply faults, the present invention provides a method for preventing vehicle faults based on low-voltage power distribution data, including: S100: Collect real-time low-voltage power data of each power distribution circuit of the vehicle; S200: Transmit the collected real-time low-voltage power data of each power distribution circuit to the cloud control platform; S300: Analyze and process the received low-voltage power data, and compare the low-voltage power data of each power distribution circuit with corresponding safety data; S400: Judge whether the low-voltage power data conforms to the safety data. If so, the circuit is normal and S100 is executed. If not, mark that the circuit has an abnormality and execute S500; S500: Feed back the abnormal circuit information to the in-vehicle display device and execute S100.

[0005] In some embodiments: The low-voltage power data includes the real-time current, voltage, and harness circuit temperature of each power distribution circuit.

[0006] In some embodiments: The abnormal circuit information includes the name and location of the abnormal circuit, the method for troubleshooting the abnormality, the location of the nearest after-sales maintenance to the vehicle, and the contact information.

[0007] In some embodiments: Before the S100, it further includes: S010: Aggregate and analyze all the vehicle operation data accessed to the cloud control platform. By analyzing the vehicle power supply data of vehicles with the same configuration working in different environments, calculate the power distribution data for normal operation of each power distribution circuit in different environments, and store it as the safety data.

[0008] In some embodiments: The different environments include different latitudes and longitudes, different climates, and different road conditions. The acquisition of road condition information is achieved through an in-vehicle map and / or an image acquisition module.

[0009] In some embodiments: The S400 further includes: When the low-voltage power supply data does not conform to the safety data and is abnormal data, monitor the low-voltage power supply data of each suspected abnormal circuit that causes the abnormality, and compare it with the safety data of each suspected abnormal circuit to finally confirm the abnormal circuit.

[0010] In some embodiments: The S500 further includes: Feedback the abnormal circuit information to a mobile device and / or an after-sales service platform.

[0011] In some embodiments: The marking that the circuit has an abnormality in the S400 includes: Analyze and judge the deviation amount between the low-voltage power supply data and the safety data, and set the abnormality from mild to severe as a first-level abnormality, a second-level abnormality, and a third-level abnormality according to the value of the deviation amount.

[0012] A method for preventing vehicle failures based on low-voltage power distribution data provided by the present invention can know whether the low-voltage power supply data on the corresponding power distribution circuit is normal by collecting the real-time low-voltage power supply data of each power distribution circuit of the vehicle, analyzing and calculating it, and then comparing it with the corresponding safety data, and can feedback the information of the abnormal circuit. Therefore, it can know the specific situation of each power distribution circuit in the vehicle power supply system more quickly and timely, quickly locate the possible abnormalities among them, and timely inform the vehicle driver of the possible abnormal situations, so that maintenance can be carried out in time before a failure that affects the vehicle operation occurs, which also provides convenience for after-sales maintenance work, can quickly detect and eliminate the failures, improves the maintenance efficiency, and saves the maintenance cost.

[0013] Based on the above method, the present invention also provides a system for preventing vehicle failures based on low-voltage power distribution data, including: an intelligent power distribution module, a T-BOX module, a cloud control platform, and an in-vehicle display device; The intelligent power distribution module is used to collect the low-voltage power supply data of each power distribution circuit of the vehicle and interact with the T-BOX module; The T-BOX module interacts with the cloud control platform and transmits the low-voltage power supply data to the cloud control platform; The cloud control platform is used to determine whether the received low-voltage power supply data is safe data and interacts with the in-vehicle display device through the T-BOX module.

[0014] In some embodiments: It further includes a mobile device, and / or, an after-sales service platform, and the mobile device, and / or, the after-sales service platform interact with the cloud control platform through the T-BOX module.

[0015] A system for preventing vehicle faults based on low-voltage power distribution data according to the present invention is used to implement the above method. It collects real-time low-voltage power supply data of each power distribution circuit of the vehicle through an intelligent power distribution module, and after analyzing and calculating it through the cloud control platform, compares it with corresponding safe data, so as to comprehensively understand the specific situation of the low-voltage power supply data on each power distribution circuit, and can feedback abnormal circuit information. Therefore, it realizes timely feedback of faults and rapid fault location, so that maintenance can be carried out in time before faults affecting the operation of the vehicle occur, and it also provides convenience for after-sales maintenance work, can timely detect and eliminate faults, improves the maintenance efficiency and saves the maintenance cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It shows a flowchart of a method for preventing vehicle faults based on low-voltage power distribution data in one embodiment; Figure 2 It shows a flowchart of a method for preventing vehicle faults based on low-voltage power distribution data in another embodiment; Figure 3 It shows a system for preventing vehicle faults based on low-voltage power distribution data; Figure 4 It shows another system for preventing vehicle faults based on low-voltage power distribution data. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0017] Now the content of the present disclosure will be described with reference to several exemplary embodiments. It should be understood that these embodiments are described only to enable those of ordinary skill in the art to better understand and thus implement the content of the present disclosure, rather than implying any limitation to the scope of the present disclosure.

[0018] As used herein, the term "including" and its variants are to be construed as open-ended terms meaning "including but not limited to". The term "based on" is to be construed as "at least partially based on". The terms "one embodiment" and "an embodiment" are to be construed as "at least one embodiment". The term "another embodiment" is to be construed as "at least one other embodiment". The orientation or positional relationships indicated by the terms "upper", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outer", "vertical", "horizontal", "lateral", "longitudinal", etc. are based on the orientation or positional relationships shown in the drawings. These terms are mainly used to better describe the present application and its embodiments, and are not used to limit that the indicated devices, elements or components must have a specific orientation, or be constructed and operated in a specific orientation. Also, in addition to being able to represent orientation or positional relationships, some of the above terms may also be used to represent other meanings. For example, the term "upper" may also be used to represent a certain attachment relationship or connection relationship in some cases. For those of ordinary skill in the art, the specific meanings of these terms in the present application can be understood according to specific circumstances. In addition, the terms "installed", "set", "provided with", "connected", "coupled" should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral structure; it may be a mechanical connection or an electrical connection; it may be directly connected, or indirectly connected through an intermediate medium, or there may be internal communication between two devices, elements or components. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to specific circumstances. In addition, the terms "first", "second", etc. are mainly used to distinguish different devices, elements or components (the specific types and structures may be the same or different), and are not used to indicate or imply the relative importance and quantity of the indicated devices, elements or components. Unless otherwise specified, the meaning of "a plurality" is two or more.

[0019] See Figure 1 , a method for preventing vehicle faults based on low-voltage power distribution data provided for this embodiment, includes: Step S100: Collect real-time low-voltage power supply data of each power distribution circuit of the vehicle; The above power distribution circuits mainly include circuits with low-voltage systems such as the lighting system, the cooling system, the battery management system, etc. Specifically, the low-voltage power supply data can be the real-time current, voltage of each power distribution circuit, and the temperature of the wire harness circuit, etc. Specifically, data collection of voltage, current, etc. can be achieved through the internal circuit of the intelligent power distribution system.

[0020] Step S200: Transmit the collected real-time low-voltage power supply data of each power distribution circuit to the cloud control platform; Transmit the low-voltage power supply data to the cloud control platform through the T-BOX (vehicle networking intelligent terminal) module.

[0021] Step S300: Analyze and process the received low-voltage power supply data, and compare the low-voltage power supply data of each distribution circuit with the corresponding safety data; The cloud control platform analyzes and processes the low-voltage power supply data of each distribution circuit collected, obtains data information that can be compared with the safety data of each distribution circuit, and compares each data information with the corresponding safety data respectively. The above safety data can be set as a safety range, and as long as it is within this safety range, it is normal data.

[0022] Step S400: Determine whether the low-voltage power supply data conforms to the safety data. If so, the circuit is normal, and step S100 is executed. If not, mark that the circuit has an abnormality and execute step S500; By collecting and judging the low-voltage power supply data of each circuit in real time, the state of the vehicle's low-voltage power supply can be grasped in real time. When it is detected that all the low-voltage power supply data are safety data, step S100 is continued for collection; and when it is detected that there is low-voltage power supply data that does not conform to the safety data, the corresponding distribution circuit can also be quickly found, and step S500 is carried out.

[0023] Step S500: Feed back the abnormal circuit information to the in-vehicle display device, and execute step S100.

[0024] Feed back the detected abnormal circuit information to the in-vehicle display device. The abnormal circuit information is the detailed information of the distribution circuit corresponding to the abnormal low-voltage power supply data, including the name and location of the abnormal circuit, the method of abnormal troubleshooting, the location and contact information of the nearest after-sales maintenance to the vehicle, etc.

[0025] By analyzing the low-voltage power supply data of the vehicle in real time, it can be timely feedback when an abnormality occurs in the distribution circuit, and different distribution circuits can be analyzed separately, so as to accurately determine the specific location where the abnormality exists, and it can be timely discovered and troubleshot when the abnormality first appears. Therefore, it effectively avoids the abnormal development into a serious fault that affects the safe driving of the vehicle, and has a good preventive effect on the vehicle's overall faults to a great extent, making the vehicle drive more safely.

[0026] In one embodiment, the abnormal circuit information can also be fed back to the mobile device and / or the after-sales service platform. For some minor faults that are easy to handle and do not temporarily affect safe driving, the cloud control platform can feed back the abnormal circuit information to the mobile device and / or the in-vehicle display device. Specifically, the user can set the feedback method according to actual needs. For some faults that affect the safe operation of the vehicle, while feeding back the abnormal circuit information to the mobile device and / or the in-vehicle display device, a request for assistance can be initiated to the after-sales service platform, so that the after-sales service platform can understand the vehicle situation in a timely manner, and judge the repair means to be taken, whether it is necessary to carry equipment to assist in handling, etc.

[0027] As Figure 2 shown, before the above step S100, the following steps are further included: Step S010: Aggregate and analyze all the vehicle operation data accessed by the cloud control platform. By analyzing the vehicle power supply data of vehicles with the same configuration working in different environments, calculate the normal power distribution data of each power distribution circuit in different environments and store it as safety data.

[0028] The cloud control platform conducts aggregated big data analysis on all the vehicle operation data accessed by the platform. By analyzing the vehicle power supply data of vehicles with the same configuration working in different usage environments, identify the normal power distribution data of each power distribution circuit in different working environments, which is recorded as safety data. For example: Analyze by statistical means, that is, collect the data of the vehicle running normally and obtain that the working current of the vehicle's low beam headlights is 1.1A - 1.5A, and the long-term running data is 1.2A. Then, it can be considered that the safety data for the normal operation of the vehicle's low beam headlights is 1.2A. At this time, other current data can be considered abnormal data. Of course, a certain floating range can be set for the safety data. For example, the safety data is 1.2A ± 0.2A. Since this data is usually relatively stable, the floating range is relatively small.

[0029] The safety data can be updated in real time according to different actual situations. For example, for the same configured vehicle at the same location in the same environment, the road condition information and other data may vary at different time periods, and the road surface conditions may also be different. Therefore, it is necessary to timely change the safety data and replace the original safety data to ensure the accuracy of the analysis and processing of the low-voltage power supply data and improve the sensitivity of fault identification and judgment. However, if the new road condition information has been replaced before, under the same other conditions, the cloud control platform can directly call the original safety data as the latest safety data. When judging the road conditions, high-precision maps can be combined to identify different road conditions, the weather conditions in the platform data can be combined to locate the specific environmental conditions of the current vehicle driving position, and the camera components outside the vehicle body can also be combined to identify the current road surface conditions and match the corresponding vehicle operation data.

[0030] During the operation of the vehicle, corresponding faults are accurately identified in combination with the vehicle operation environment, and then the fault conditions and troubleshooting solutions are fed back to the in-vehicle display device and / or directly transmitted to the associated mobile device. For some problems that affect vehicle driving and safety, such as the abnormal increase in the motor temperature that may cause the vehicle to break down, and the abnormal decrease in the insulation resistance value of the high-voltage system, the cloud control platform can also push the location, contact information and service time of the nearest after-sales service platform to the vehicle driver. For faults that may cause the vehicle to break down, the after-sales service platform can directly contact the driver to conduct fault troubleshooting. When necessary, road fault alarm processing can be directly carried out, that is, in extremely serious cases where the vehicle triggers an automatic alarm, so as to alarm in time and quickly handle the fault problem when the driver is unable to solve it.

[0031] Specifically, the above different environments include different latitudes and longitudes, different climates and different road conditions. The acquisition of road condition information is realized through the in-vehicle map and / or the image acquisition module. Preferably, the in-vehicle map and the image acquisition module are used together. The image acquisition module can judge the actual road surface conditions at present, so as to make a more accurate judgment on the low-voltage power supply data.

[0032] The above step S400 further includes: when the low-voltage power supply data does not conform to the safety data and is abnormal data, monitor the low-voltage power supply data of each suspected abnormal circuit that causes the abnormality, and compare it with the safety data of each suspected abnormal circuit to finally confirm the abnormal circuit.

[0033] When there are multiple possible situations that cause abnormal data, it is necessary to screen it again to finally determine the location where the abnormality exists.

[0034] In a specific embodiment of the present application, marking the loop as abnormal in step S400 includes: analyzing and judging the deviation amount between the low-voltage power data and the safety data, and setting the abnormality from mild to severe as a first-level abnormality, a second-level abnormality, and a third-level abnormality according to the value of the deviation amount.

[0035] Taking the temperature in the cooling system as an example, the calculated safety temperature is T 0 When the temperature in the detected real-time low-voltage power data is T 1 : If T 0 <T 1 ≤(1 + 10%)T 0 , at this time the temperature has increased, but within the controllable range, then mark T 1 as a first-level abnormality, and feedback information such as the abnormality level, the name and location of the abnormal loop, the abnormality troubleshooting method, and the estimated latest processing time to the in-vehicle display device and / or the mobile device; If (1 + 10%)T 0 <T 1 ≤(1 + 20%)T 0 , at this time the temperature has increased significantly, mark T 1 as a second-level abnormality, and feedback information such as the abnormality level, the name and location of the abnormal loop, the abnormality troubleshooting method, and the after-sales repair location and contact information to the in-vehicle display device and / or the mobile device; If (1 + 20%)T 0 <T 1 , then the temperature is too high and the fault risk is great, mark T 1 as a third-level abnormality, and feedback information such as the abnormality level, the name and location of the abnormal loop, the abnormality troubleshooting method, and the after-sales repair location and contact information to the in-vehicle display device and / or the mobile device. At the same time, establish a connection with the after-sales service platform to directly obtain the help of the after-sales service platform. If necessary, road fault alarm processing can be directly carried out.

[0036] Another example is the lighting system. The voltage is monitored in real time. When the calculated safety voltage is U 0 and the voltage in the detected real-time low-voltage power data is U 1 , since the occurrence of the fault here is usually caused by too low voltage, therefore: If (1 - 10%)U 0 ≤U 1 <U 0 , then mark U 1 as a first-level abnormality, and feedback information such as the abnormality level, the name and location of the abnormal loop, the abnormality troubleshooting method, and the estimated latest processing time to the in-vehicle display device and / or the mobile device; If (1 - 20%)U0 ≤U 1 <(1 - 10%)U 0 If so, mark U 1 as a secondary anomaly, and feedback information such as the anomaly level, the name and location of the abnormal circuit, the anomaly troubleshooting method, and the after-sales repair location and contact information to the in-vehicle display device and / or the mobile device; If U 1 <(1 - 20%)U 0 If so, mark U 1 as a tertiary anomaly, and feedback information such as the anomaly level, the name and location of the abnormal circuit, the anomaly troubleshooting method, and the after-sales repair location and contact information to the in-vehicle display device and / or the mobile device. At the same time, establish a connection with the after-sales service platform to directly obtain the help of the after-sales service platform. If necessary, road fault alarm processing can be directly carried out.

[0037] For the judgment of the lighting system here, special level settings also need to be combined with the actual situation. If it is detected that it is daytime driving and the lighting system requires less power, the above levels can be referred to for anomaly judgment. If it is detected that it is night driving, corresponding level upgrading processing can be done on the above levels, that is, if the detected data is (1 - 10%)U 0 ≤U 1 <U 0 mark the originally scheduled primary anomaly as a secondary anomaly and perform anomaly processing according to the processing method of secondary anomalies. With such settings, when driving at night with high lighting requirements, the safety guarantee is stronger and it can better ensure the safe driving of the driver.

[0038] The data information of the remaining corresponding power distribution circuits is also divided into anomaly levels, and the specific division method can be determined according to the actual parameters and fault conditions.

[0039] A method for preventing vehicle faults based on low-voltage power distribution data provided in this embodiment can know whether the low-voltage power data on the corresponding power distribution circuit is normal by collecting the real-time low-voltage power data of each power distribution circuit of the vehicle, analyzing and calculating it, and then comparing it with the corresponding safety data, and can feedback the abnormal circuit information. Therefore, it can know the specific situation of each power distribution circuit in the vehicle power supply system more quickly and timely, quickly locate possible anomalies, and promptly inform the vehicle driver of possible anomalies, so that maintenance can be carried out in time before a fault that affects the vehicle operation occurs, which also provides convenience for after-sales repair work, can quickly troubleshoot and eliminate faults, improves the repair efficiency, and saves the maintenance cost.

[0040] The following are specific examples during vehicle operation: Example 1: When the vehicle is running normally at -10°C, in an uphill condition, with the air conditioner's warm air on, and the vehicle speed is between 50 and 100 km / h, the safety data of the heat dissipation power is 1000 W, among which the power of the radiator fan is 500 W and the power of the water pump is 500 W. When it is detected during driving that the heat dissipation power of the vehicle under the above conditions is only 500 W, it can be judged that there is a fault in the heat dissipation system. Since it may be a fault of the radiator fan or the water pump, therefore, further analysis of the heat dissipation system is carried out. If the power of the radiator fan is 500 W and the power of the water pump is 0, at this time, it can be judged that the water pump is not working, that is, the feedback fault is the motor overheat fault caused by the water pump fault.

[0041] Example 2: When the vehicle is driving on an urban road at night at 20°C, with the air conditioner off, and the vehicle speed is 50 - 80 km / h, the safety data of the output voltage of the power battery is 400 V. When it is detected during driving that the output voltage is less than 400 V, it is judged that there is a fault in the power battery management system. Further, according to the query, the working current of the low-voltage controller of the power battery management system is less than the normal working current. At this time, it can be judged that there is a problem that the solenoid valve controlled by the low-voltage controller of the power battery management system fails to drive normally. This fault is serious, so it can be marked as a third-level anomaly, and a connection can be established with the after-sales service platform through the cloud control platform to directly obtain the help of the after-sales service platform, which is convenient for subsequent vehicle maintenance.

[0042] Example 3: When the vehicle is driving at night, through statistical data analysis, the normal working current of the vehicle's brake light is 1 A. When it is found that the working current of the brake light is 0.9 A, a prompt can be given on the in-vehicle display screen: The brake light has an abnormal dim situation. When the working current of the brake light is 0.8 A, a warning is given on the in-vehicle display device that the dim brake light may affect the recognition of the following vehicle, and please repair it as soon as possible. At this time, information such as the anomaly level, the name and location of the abnormal circuit, the anomaly troubleshooting method, and the estimated latest processing time can be fed back to the in-vehicle display device and / or the mobile device. When the working current of the brake light is less than 0.5 A, the driver is reminded to go to the service station for problem troubleshooting, and information such as the location of the nearest service station is provided.

[0043] The above method analyzes the low-voltage power supply data of the vehicle during normal operation through big data, compares the real-time low-voltage power supply data under the same conditions, discovers abnormal situations in a timely manner, and prevents vehicle failures in advance.

[0044] In addition, when the after-sales service platform directly provides maintenance suggestions, the preventive troubleshooting suggestions for faults are directly sent to the vehicle driver, avoiding the omission of problems during the transmission by third-party inspectors.

[0045] Based on the above method, this embodiment also provides a system for preventing vehicle-wide faults based on low-voltage power distribution data, as Figure 3As shown, it includes: an intelligent power distribution module, a T-BOX module, a cloud control platform, and an in-vehicle display device.

[0046] The intelligent power distribution module is used to collect the low-voltage power supply data of each power distribution circuit of the whole vehicle and interact with the T-BOX module; the T-BOX module interacts with the cloud control platform and transmits the low-voltage power supply data to the cloud control platform; the cloud control platform is used to judge whether the received low-voltage power supply data is safe data and interact with the in-vehicle display device through the T-BOX module.

[0047] In some embodiments, as Figure 4 shown, it further includes a mobile device, and / or, an after-sales service platform, and the mobile device, and / or, the after-sales service platform interact with the cloud control platform through the T-BOX module.

[0048] In addition, in another embodiment, it further includes an in-vehicle display and alarm device, which is used to display information such as maintenance / troubleshooting suggestions and after-sales maintenance locations issued by the cloud control platform, and alarm and remind for major problems.

[0049] A system for preventing vehicle faults based on low-voltage power distribution data provided in this embodiment is used to implement the above method. It collects the real-time low-voltage power supply data of each power distribution circuit of the whole vehicle through the intelligent power distribution module, and after analyzing and calculating it through the cloud control platform, compares it with the corresponding safe data, so as to comprehensively understand the specific situation of the low-voltage power supply data on each power distribution circuit, and can feedback the abnormal circuit information. Therefore, it realizes timely feedback of faults and rapid location of faults, so that maintenance can be carried out in time before faults that affect the operation of the whole vehicle occur, and it also provides convenience for after-sales maintenance work, can timely check and eliminate faults, improves the maintenance efficiency, and saves the maintenance cost.

[0050] Those of ordinary skill in the art can understand that the above embodiments are specific cases for implementing the present disclosure, and in practical applications, various changes can be made to them in form and details without departing from the scope of the present disclosure.

Claims

1. A method for preventing vehicle failure based on low-voltage power distribution data, characterized in that: include: S100: Collects real-time low-voltage power supply data of each power distribution circuit of the vehicle; S200: Transmitting the collected real-time low-voltage power supply data of each power distribution circuit to the cloud control platform; S300: Analyze and process the received low-voltage power supply data, and compare the low-voltage power supply data of each power distribution circuit with corresponding safety data; S400: Determine whether the low-voltage power supply data conforms to the safety data. If yes, the circuit is normal and S100 is executed. If no, mark the circuit as abnormal and execute S500. S500: Feedback the abnormal circuit information to the vehicle-mounted display device, and execute S100.

2. The method according to claim 1, characterized in that: The low-voltage power supply data includes the real-time current, voltage and wiring harness circuit temperature of each power distribution circuit.

3. The method according to claim 1, characterized in that The abnormal circuit information includes the name and location of the abnormal circuit, abnormality troubleshooting method, the after-sales maintenance location closest to the vehicle and contact information.

4. The method according to any one of claims 1 to 3, characterized in that: Before the S100, the method further includes: S010: Summarize and analyze the operation data of all vehicles connected to the cloud control platform, analyze the power supply data of vehicles with the same configuration but different operating environments, calculate the power distribution data of each power distribution circuit operating normally in different environments, and store them as the safety data.

5. The method according to claim 4, characterized in that The different environments include different longitudes and latitudes, different climates and different road conditions, and the collection of the road condition information is achieved through an on-board map and / or image collection module.

6. The method according to any one of claims 1 to 3, characterized in that: The S400 further includes: When the low-voltage power supply data does not conform to the safety data and is abnormal data, the low-voltage power supply data of each suspected abnormal circuit that may cause the abnormality is monitored, and compared with the safety data of each suspected abnormal circuit to finally confirm the abnormal circuit.

7. The method according to any one of claims 1 to 3, characterized in that: The S500 further includes: Feedback abnormal circuit information to mobile devices and / or after-sales service platforms.

8. The method according to any one of claims 1 to 3, characterized in that: The step of marking that the loop is abnormal in S400 includes: The deviation between the low-voltage power supply data and the safety data is analyzed and determined, and the abnormality is set from slight to severe as a first-level abnormality, a second-level abnormality, and a third-level abnormality according to the value of the deviation.

9. A system for preventing vehicle failure based on low-voltage power distribution data, used to implement the method of any one of claims 1 to 8 above, characterized in that: include: Intelligent power distribution module, T-BOX module, cloud control platform and vehicle display equipment; The intelligent power distribution module is used to collect low-voltage power supply data of each power distribution circuit of the vehicle and interact with the T-BOX module; The T-BOX module interacts with the cloud control platform and transmits the low-voltage power supply data to the cloud control platform; The cloud control platform is used to determine whether the received low-voltage power supply data is safe data, and interact with the vehicle-mounted display device through the T-BOX module.

10. The system according to claim 9, characterized in that It also includes a mobile device and / or an after-sales service platform, and the mobile device and / or the after-sales service platform interact with the cloud control platform through the T-BOX module.

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