New energy automobile fault automatic diagnosis system and method

Abstract

The invention discloses an automatic fault diagnosis system for a new energy vehicle, and belongs to the field of vehicle fault diagnosis. The system comprises a vehicle control unit, a vehicle networking box, an enterprise cloud server and a vehicle electronic control unit, the vehicle electronic control unit is connected with the vehicle control unit, and the vehicle control unit is connected with the vehicle networking box; the vehicle networking box is connected with the vehicle electric control unit; and the enterprise cloud server is connected with the car networking box. Meanwhile, the invention further provides a new energy automobile fault automatic diagnosis method based on the system. According to the invention, the real-time performance and diagnosis effectiveness of fault diagnosis can be improved.

Description

Technical Field

[0001] The present invention belongs to the field of vehicle fault diagnosis, and in particular, relates to a new energy vehicle fault automatic diagnosis system and method. Background Art

[0002] Nowadays, as automobiles are developing towards electrification, networking, and intelligence, new automobile strategies (such as electric drive strategy, autonomous driving strategy, and smart cockpit strategy) are being rapidly implemented, the functions of automobiles are constantly expanding, and the on-board functions are becoming more and more complex, and the probability of automobile problems has also greatly increased. Automobile safety issues, especially safety accidents caused by automobile E / E system failures, are becoming increasingly prominent. Among them, functional safety issues are the core of automobile safety issues. They are safety issues caused by systematic failures and random hardware failures in automobile E / E systems. With the continuous innovation of automobile products and the continuous reduction of R&D cycles, product safety verification and testing cycles are often passively compressed, and automobile failure problems are becoming more and more prominent. The functional failures of automobiles are divided into permanent failures, intermittent failures, and transient failures. In order to be able to promptly identify failures and their conditions and causes, new energy vehicles need to change their fault diagnosis strategies. Summary of the invention

[0003] The present invention aims to overcome the deficiencies of the prior art and proposes a new energy vehicle fault automatic diagnosis system and method to achieve the following objectives: improve the real-time performance and diagnostic effectiveness of fault diagnosis.

[0004] In order to achieve the above object, the technical solution adopted by the present invention is:

[0005] A new energy vehicle fault automatic diagnosis system, the system includes a vehicle controller, a vehicle networking box, an enterprise cloud server, and a vehicle electronic control unit, wherein:

[0006] The vehicle electronic control unit is connected to the vehicle controller and is used to send a fault level signal to the vehicle controller when a fault occurs, and at the same time, respond to the diagnostic request sent by the vehicle networking box and feedback the corresponding fault code and data stream information;

[0007] The vehicle controller is connected to the vehicle networking box and is used to determine the fault level of the vehicle according to the fault level signal sent by the vehicle electronic control unit, and send the corresponding vehicle fault signal to the vehicle networking box;

[0008] The IoV box is connected to the vehicle electronic control unit and is used to determine the fault risk when receiving the vehicle fault signal and send a diagnosis request to the vehicle electronic control unit, and send the fault code and data stream information fed back by the vehicle electronic control unit to the enterprise cloud server;

[0009] The enterprise cloud server is connected to the Internet of Vehicles box, and is used to receive the fault code and data flow information of the Internet of Vehicles box and record them in real time on the cloud platform, and use big data to check and manage vehicle safety issues.

[0010] Preferably, the vehicle electronic control unit includes BMS, MCU, DCDC converter, PDU, OBC, ABS, BCM, EPS, ICM, and EAC, which are respectively connected between the Internet of Vehicles box and the vehicle controller.

[0011] Preferably, the system also includes a central gateway, which is connected between the ABS, BCM, EPS, ICM, EAC and the vehicle controller and is used to forward the signals of the ABS, BCM, EPS, ICM, EAC to the vehicle controller.

[0012] Preferably, the Internet of Vehicles box and the enterprise cloud server are wirelessly connected via mobile communication technology, and the mobile communication technology includes 4G and 5G mobile communication technology.

[0013] Preferably, the Internet of Vehicles box and the vehicle electronic control unit, the vehicle electronic control unit and the vehicle controller, and the vehicle controller and the Internet of Vehicles box are all connected via a CAN bus.

[0014] Preferably, the diagnostic request adopts UDS protocol.

[0015] At the same time, the present application also proposes a method for automatic fault diagnosis of new energy vehicles, which is applied to the above-mentioned automatic fault diagnosis system of new energy vehicles, and the method comprises the following steps:

[0016] S1. When a vehicle fails, each vehicle electronic control unit sends its own fault level signal to the vehicle controller according to the unified fault judgment level;

[0017] S2, the vehicle controller determines the fault level of the vehicle according to the fault level signals of each vehicle electronic control unit, and sends the corresponding vehicle fault signal to the Internet of Vehicles box;

[0018] S3. The IoV box receives the vehicle fault signal from the vehicle controller to determine whether the vehicle fault level reaches a preset risk threshold, and sends a diagnosis request to each vehicle electronic control unit to start automatic diagnosis, and sends the fault code and data stream information fed back by the vehicle electronic control unit to the enterprise cloud server; when the risk threshold is reached, an alarm is issued through the IoV box.

[0019] Preferably, the step S3 specifically includes:

[0020] S31, the IoV box first sends a diagnosis request to the vehicle ECU, receives the fault code and data stream information fed back by the vehicle ECU to determine whether there is a fault, and if there is a fault, uploads the corresponding fault code and data stream information to the enterprise cloud server;

[0021] S32, if there is no fault, the IoV box sends another diagnosis request to the vehicle ECU, and uploads the received fault code and data stream information to the enterprise cloud server; the enterprise cloud server performs validity verification on the fault code and data stream information at this time; if the verification fails, it returns to step S32 for another diagnosis;

[0022] S33. If the verification is passed, the enterprise cloud server issues a command to remotely clear the fault codes stored in the electronic control units of each vehicle;

[0023] S34. Finally, the IoV box sends another diagnosis request to the vehicle ECU, and uploads the received fault code and data stream information to the enterprise cloud server. The enterprise cloud server ends the diagnosis after confirming that the fault code has been cleared.

[0024] Preferably, the step S31 is executed cyclically at a preset time when a fault exists, that is, the next diagnosis request is immediately made when a fault is detected, and the fault detection is performed again after the preset time is over. Preferably, the preset time is set to 3 seconds.

[0025] The technical effect of the present invention is that the present invention realizes real-time diagnosis and monitoring of faults, automatically diagnoses faults when they occur, and periodically uploads fault codes and fault-related information to the enterprise cloud platform, meeting the fault diagnosis needs of new energy vehicles, improving the quality of vehicle software, and meeting the needs of the after-sales market. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 This is a structural diagram of an automatic fault diagnosis system for new energy vehicles according to an embodiment of the present invention;

[0027] Figure 2 This is a schematic diagram of application layer signal interaction of a new energy vehicle fault automatic diagnosis system according to an embodiment of the present invention;

[0028] Figure 3 This is a flowchart of automatic fault diagnosis according to an embodiment of the present invention. DETAILED DESCRIPTION

[0029] The following is a further detailed description of the specific implementation of the present invention by describing the embodiments with reference to the accompanying drawings, with the purpose of helping those skilled in the art to have a more complete, accurate and in-depth understanding of the inventive concept and technical solution of the present invention and to facilitate its implementation. In order to make the technical solution of the present invention clearer, the present invention is explained by the following embodiments.

[0030] In the foregoing, the English abbreviations of some technologies in this application are explained in Table 1:

[0031]

[0032] Table 1

[0033] A new energy vehicle fault automatic diagnosis system, such as Figure 1 As shown, the system includes a vehicle controller, a vehicle networking box, an enterprise cloud server, and a vehicle electronic control unit, wherein:

[0034] The vehicle electronic control unit is connected to the vehicle controller and is used to send a fault level signal to the vehicle controller when a fault occurs, and at the same time, respond to the diagnostic request sent by the vehicle networking box and feedback the corresponding fault code and data stream information;

[0035] The vehicle controller is connected to the vehicle networking box and is used to determine the fault level of the vehicle according to the fault level signal sent by the vehicle electronic control unit, and send the corresponding vehicle fault signal to the vehicle networking box;

[0036] The IoV box is connected to the vehicle electronic control unit and is used to determine the fault risk when receiving the vehicle fault signal and send a diagnosis request to the vehicle electronic control unit, and send the fault code and data stream information fed back by the vehicle electronic control unit to the enterprise cloud server;

[0037] The enterprise cloud server is connected to the Internet of Vehicles box, and is used to receive the fault code and data flow information of the Internet of Vehicles box and record them in real time on the cloud platform, and use big data to check and manage vehicle safety issues and support remote control of the entire vehicle.

[0038] In this embodiment, the Internet of Vehicles box acts as the client, each vehicle electronic control unit and the enterprise cloud server act as the server, and the Internet of Vehicles box acts as a bridge to send and receive data commands, thereby achieving orderly communication between the various components of the system, thereby realizing automatic diagnosis and improving the real-time nature of diagnosis.

[0039] In this embodiment, the diagnostic request adopts the UDS protocol. The UDS protocol is Unified Diagnostic Services, which is a standardized standard for diagnostic services. It is a common technology used by technicians in this field. It has the advantages of being simple to use and supporting customized services, and can improve the efficiency of fault diagnosis. Among them, the UDS protocol defines $19 diagnostic services for reading fault codes (DTC codes) stored in the vehicle's electronic control unit; and defines $14 diagnostic services for clearing fault codes (DTC codes) stored in the vehicle's electronic control unit.

[0040] Specifically, Figure 1 As shown, the vehicle electronic control unit of this embodiment includes BMS, MCU, DCDC converter, PDU, OBC, ABS, BCM, EPS, ICM, EAC, etc., which are respectively connected between the Internet of Vehicles box and the vehicle controller, and can receive the diagnostic request of the Internet of Vehicles box and execute $19 or $14 diagnostic services. This application is not limited to the above-mentioned vehicle electronic control unit, and can be flexibly increased or decreased according to actual conditions during specific implementation.

[0041] In this embodiment, the Internet of Vehicles box and each vehicle electronic control unit, each vehicle electronic control unit and the vehicle controller, and the vehicle controller and the Internet of Vehicles box are all connected via a CAN bus.

[0042] In actual application, multiple vehicle electronic control units are used simultaneously. Generally, a vehicle electronic control unit is a CAN node. This leads to the possibility that multiple CAN nodes may exist on a CAN bus at the same time, which will increase the bus load, thereby reducing the communication speed, increasing the signal attenuation and reducing the anti-interference ability. For this reason, in the present application, a central gateway may be set for some vehicle electronic control unit CAN nodes to form a subnet forwarding signal. Specifically, the central gateway of this embodiment is connected between the ABS, BCM, EPS, ICM, EAC and the vehicle controller, and is used to forward the signals of the ABS, BCM, EPS, ICM, EAC to the vehicle controller. The advantage of this is that by setting a central gateway to support signal transmission between multiple different CAN buses, the CAN bus load is reduced, thereby improving the transmission efficiency and further improving the real-time nature of the diagnosis of the present invention.

[0043] In this embodiment, the Internet of Vehicles box and the enterprise cloud server are wirelessly connected via mobile communication technology, and the mobile communication technology includes 4G and 5G mobile communication technology. Preferably, 5G mobile communication technology is used to increase the information communication speed between the Internet of Vehicles box and the enterprise cloud server, thereby improving the real-time diagnosis of the present invention. Of course, considering the influence of popularity and cost, 4G mobile communication technology can also be used.

[0044] At the same time, the present application also proposes a method for automatic fault diagnosis of new energy vehicles, which is applied to the above-mentioned automatic fault diagnosis system of new energy vehicles, and the method comprises the following steps:

[0045] S1. When a vehicle fails, each vehicle ECU sends its own fault level signal to the vehicle controller according to the unified fault judgment level. The unified fault judgment level makes the fault management between different vehicle ECUs consistent and comparable, which enables the system to more accurately identify the faults of each vehicle ECU, thereby more reasonably allocating system resources to improve the real-time performance of fault diagnosis.

[0046] S2, the vehicle controller determines the fault level of the vehicle according to the fault level signals of each vehicle electronic control unit, and sends the corresponding vehicle fault signal to the Internet of Vehicles box. Figure 2 The figure shows a schematic diagram of the signal interaction of the application layer of the system of the present invention. The vehicle controller can summarize the fault level signals of all vehicle electronic control units to obtain a total vehicle fault level and send it to the Internet of Vehicles box. Specifically, the maximum fault levels of each vehicle electronic control unit can be added, and the vehicle fault level range can be set in sequence according to the addition result. In order to further improve the accuracy of the vehicle fault level judgment, weights can be set for the fault levels of each vehicle electronic control unit, and then weighted summation can be performed.

[0047] S3. The Internet of Vehicles box receives the vehicle fault signal from the vehicle controller to determine whether the vehicle fault level reaches a preset risk threshold, and at the same time sends a diagnosis request to each vehicle electronic control unit to start automatic diagnosis, and sends the fault code and data stream information fed back by the vehicle electronic control unit to the enterprise cloud server; when the risk threshold is reached, an alarm is issued through the Internet of Vehicles box, where the alarm can be through voice prompts, buzzer alarms, indicator lights, etc.

[0048] Further, if Figure 3 As shown, the step S3 specifically includes:

[0049] S31. The IoV box first sends a diagnostic request to the vehicle's ECU, receives the fault code and data stream information fed back by the vehicle's ECU to determine whether a fault exists. If a fault exists, the corresponding fault code and data stream information are uploaded to the enterprise cloud server.

[0050] S32, if there is no fault, the IoV box sends another diagnosis request to the vehicle ECU, and uploads the received fault code and data stream information to the enterprise cloud server and timely uploads the vehicle information after the fault ends; the enterprise cloud server performs validity verification on the fault code and data stream information at this time; if the verification fails, it returns to step S32 for another diagnosis. This improves the diagnostic effectiveness of the present invention.

[0051] S33. If the verification is passed, the enterprise cloud server issues a command to remotely clear the fault codes stored in the electronic control units of each vehicle. There are two reasons for clearing the fault codes: to eliminate the historical fault information left in the ECU for a long time (the fault has been restored) and to eliminate the interference of false fault reports of the ECU.

[0052] S34. Finally, the IoV box sends another diagnosis request to the vehicle ECU, and uploads the received fault code and data stream information to the enterprise cloud server. The enterprise cloud server ends the diagnosis after confirming that the fault code has been cleared.

[0053] In actual application scenarios, when a vehicle fails, there is a certain probability that other related failures will occur in succession, which may lead to the escalation of the failure problem. In order to ensure the timeliness and effectiveness of uploading diagnostic information when a failure occurs, and to obtain data information on the elimination of the failure when the failure ends, the Internet of Vehicles box should cyclically report the failure information to the enterprise cloud server. That is, step S31 of this embodiment is executed cyclically at a preset time when the fault exists, that is, the next diagnostic request is immediately made when the fault is detected, and the fault detection is performed again after the preset time ends. Preferably, the preset time is set to 3 seconds. The setting of the preset time mainly considers two aspects, the load capacity of the vehicle communication and the data processing capacity of the enterprise cloud server.

[0054] The present invention realizes real-time fault diagnosis and monitoring, automatically diagnoses faults when they occur, and periodically uploads fault codes and fault-related information to the enterprise cloud platform, meeting the fault diagnosis needs of new energy vehicles, improving the quality of vehicle software, and meeting the needs of the after-sales market.

[0055] The present invention is described above by way of example in conjunction with the accompanying drawings. Obviously, the specific implementation of the present invention is not limited to the above-mentioned methods. As long as various non-substantial improvements are made using the method concept and technical solution of the present invention; or the above concept and technical solution of the present invention are directly applied to other occasions without improvement, they are all within the protection scope of the present invention.

Claims

1. A new energy vehicle fault automatic diagnosis system, characterized by: The system includes a vehicle controller, a vehicle networking box, an enterprise cloud server, and a vehicle electronic control unit, wherein: The vehicle electronic control unit is connected to the vehicle controller and is used to send a fault level signal to the vehicle controller when a fault occurs, and at the same time, respond to the diagnostic request sent by the vehicle networking box and feedback the corresponding fault code and data stream information; The vehicle controller is connected to the vehicle networking box and is used to determine the fault level of the vehicle according to the fault level signal sent by the vehicle electronic control unit, and send the corresponding vehicle fault signal to the vehicle networking box; The IoV box is connected to the vehicle electronic control unit and is used to determine the fault risk when receiving the vehicle fault signal and send a diagnosis request to the vehicle electronic control unit, and send the fault code and data stream information fed back by the vehicle electronic control unit to the enterprise cloud server; The enterprise cloud server is connected to the Internet of Vehicles box, and is used to receive the fault code and data flow information of the Internet of Vehicles box and record them in real time on the cloud platform, and use big data to check and manage vehicle safety issues.

2. The automatic fault diagnosis system for new energy vehicles according to claim 1 is characterized in that: The vehicle electronic control unit includes BMS, MCU, DCDC converter, PDU, OBC, ABS, BCM, EPS, ICM, and EAC, which are respectively connected between the Internet of Vehicles box and the vehicle controller.

3. The automatic fault diagnosis system for new energy vehicles according to claim 2 is characterized in that: The system also includes a central gateway, which is connected between the ABS, BCM, EPS, ICM, EAC and the vehicle controller and is used to forward signals from the ABS, BCM, EPS, ICM, EAC to the vehicle controller.

4. A new energy vehicle fault automatic diagnosis system according to any one of claims 1 to 3, characterized in that: The Internet of Vehicles box and the enterprise cloud server are wirelessly connected via mobile communication technology, and the mobile communication technology includes 4G and 5G mobile communication technology.

5. A new energy vehicle fault automatic diagnosis system according to any one of claims 1 to 3, characterized in that: The Internet of Vehicles box and the vehicle electronic control unit, the vehicle electronic control unit and the vehicle controller, and the vehicle controller and the Internet of Vehicles box are all connected via a CAN bus.

6. A new energy vehicle fault automatic diagnosis system according to any one of claims 1 to 3, characterized in that: The diagnosis request adopts the UDS protocol.

7. A method for automatic fault diagnosis of new energy vehicles, characterized in that: The method is applied to a new energy vehicle fault automatic diagnosis system according to any one of claims 1 to 6, and the method comprises the following steps: S1. When a vehicle fails, each vehicle electronic control unit sends its own fault level signal to the vehicle controller according to the unified fault judgment level; S2, the vehicle controller determines the fault level of the vehicle according to the fault level signals of each vehicle electronic control unit, and sends the corresponding vehicle fault signal to the Internet of Vehicles box; S3. The IoV box receives the vehicle fault signal from the vehicle controller to determine whether the vehicle fault level reaches a preset risk threshold, and sends a diagnosis request to each vehicle electronic control unit to start automatic diagnosis, and sends the fault code and data stream information fed back by the vehicle electronic control unit to the enterprise cloud server; when the risk threshold is reached, an alarm is issued through the IoV box.

8. The method for automatic fault diagnosis of new energy vehicles according to claim 7 is characterized in that: The step S3 specifically includes: S31, the IoV box first sends a diagnosis request to the vehicle ECU, receives the fault code and data stream information fed back by the vehicle ECU to determine whether there is a fault, and if there is a fault, uploads the corresponding fault code and data stream information to the enterprise cloud server; S32, if there is no fault, the IoV box sends another diagnosis request to the vehicle ECU, and uploads the received fault code and data stream information to the enterprise cloud server; the enterprise cloud server performs validity verification on the fault code and data stream information at this time; if the verification fails, it returns to step S32 for another diagnosis; S33. If the verification is passed, the enterprise cloud server issues a command to remotely clear the fault codes stored in the electronic control units of each vehicle; S34. Finally, the IoV box sends another diagnosis request to the vehicle ECU, and uploads the received fault code and data stream information to the enterprise cloud server. The enterprise cloud server ends the diagnosis after confirming that the fault code has been cleared.

9. The automatic fault diagnosis method for new energy vehicles according to claim 8 is characterized in that: The step S31 is executed cyclically at a preset time when a fault exists, that is, the next diagnosis request is immediately made when the fault is detected, and the fault detection is performed again after the preset time ends.

10. The automatic fault diagnosis method for new energy vehicles according to claim 9 is characterized in that: The preset time is set to 3 seconds.

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