Remote fault diagnosis method for pure electric vehicle

Abstract

The invention discloses a pure electric vehicle fault remote diagnosis method in the field of electric vehicle fault diagnosis. The method comprises the following steps: S11, fault information integration; s12, the platform directly analyzes the fault code; and S13, current / historical faults of the vehicle are inquired. According to the method, fault information of different vehicle types of each main engine plant is integrated and mapped into universal fault codes and fault names, fault data are uploaded through Tbox, the vehicle fault information is directly analyzed on a platform, special equipment such as a diagnostic instrument does not need to be used, and the fault information can be directly obtained on the platform through universal equipment such as a computer and a mobile phone; the current and historical fault information of the vehicle can be inquired through the platform, fault description and maintenance guidance are visually displayed, and then the fault diagnosis and maintenance efficiency is improved.

Description

Technical Field

[0001] The invention relates to the field of electric vehicle fault diagnosis, and in particular to a pure electric vehicle fault remote diagnosis method. Background Art

[0002] Electric logistics vehicle operators own many brands and models of vehicles, which are usually rented out to third parties. When a vehicle breaks down, maintenance personnel use a variety of general diagnostic equipment to read fault codes and perform maintenance and diagnostic work on the faulty vehicle. Once a vehicle breaks down under various unknown conditions, or an occasional fault requires diagnosis and maintenance, maintenance personnel cannot accurately and promptly obtain vehicle fault information, and thus cannot effectively and quickly perform diagnostics and maintenance.

[0003] Therefore, those skilled in the art provide a method for remote fault diagnosis of a pure electric vehicle to solve the problems raised in the above background technology. Summary of the invention

[0004] The purpose of the present invention is to provide a method for remote fault diagnosis of a pure electric vehicle to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A method for remote fault diagnosis of a pure electric vehicle comprises the following steps:

[0007] S11. Fault information integration: Integrate fault information of various car manufacturers and models, map them to universal fault codes and fault names to form standardized documents;

[0008] S12, platform directly analyzes fault codes

[0009] Each specific vehicle model is assigned a model number and a corresponding fault analysis matrix. Tbox obtains vehicle bus data in real time at a certain frequency and uploads it to the backend. The platform identifies the specific vehicle model number based on the frame number uploaded by Tbox, and then corresponds the specific vehicle model number to the fault analysis matrix to parse out the fault name defined by the OEM.

[0010] S13. Query the current / historical faults of the vehicle: Search the frame number / license plate number through the smart terminal platform to query the specific vehicle fault information. You can query the faults that occurred within a time period and refresh the current vehicle fault status. Maintenance personnel can also log in to the platform through the user terminal (such as a computer or mobile phone APP) to view the fault repair instructions.

[0011] Preferably, the step S11 specifically includes the following process:

[0012] S111. Integrate the fault information of each vehicle manufacturer and each model: collect and classify the fault information and fault analysis rules of each model of the cooperating vehicle manufacturer by brand and model;

[0013] S112. Mapping universal faults: Formulate universal fault definition specifications, map the collected fault information of each vehicle model one by one, and form a fault diagnosis mapping table.

[0014] Preferably, the step S13 specifically includes the following process:

[0015] S131. Query current faults: Query specific vehicle fault information by searching the vehicle frame number / license plate number. The main interface refreshes the fault number and fault code status at a refresh rate of about 10 seconds. In the details interface, the real-time fault can see the fault code and fault description, and you can view relevant maintenance instructions through the link;

[0016] S132. Specific vehicle fault information can be found by searching the vehicle frame number / license plate number. The main interface refreshes the fault number and fault code status at a frequency of approximately once every 10 seconds. The fault code and fault description can be seen in the historical faults in the details interface. Relevant maintenance instructions can be viewed through the link; the date can also be selected to view the fault information of a specific day.

[0017] Preferably, the fault information of each vehicle model of the automobile manufacturer in step S12 includes: a universal fault code, a universal fault name, a fault name defined by the host manufacturer, a fault name defined by the host manufacturer, and a fault name defined by the host manufacturer.

[0018] Preferably, the fields required for the fault analysis matrix in step S12 include: fault name defined by the host manufacturer, message type, message identifier, baud rate, message sending type, message cycle time, message length, arrangement format, start byte, start bit, signal sending type, signal length, data type, precision, offset, physical minimum value, physical maximum value, initial value, and signal value description.

[0019] The present invention integrates the fault information of different models of various OEMs, maps it into universal fault codes and fault names, uploads fault data through Tbox, and directly parses the vehicle fault information on the platform. There is no need to use special equipment such as diagnostic instruments. Fault information can be obtained directly on the platform through general devices such as computers and mobile phones. The platform can query the current and historical fault information of the vehicle, and intuitively display fault descriptions and maintenance instructions, thereby improving fault diagnosis and maintenance efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a structural schematic diagram of the present invention;

[0021] Figure 2 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0022] See also Figures 1-2 In an embodiment of the present invention, a method for remote fault diagnosis of a pure electric vehicle comprises the following steps:

[0023] S11. Fault information integration: Integrate the fault information of various car manufacturers and models, map them to universal fault codes and fault names to form standardized documents; as shown in the following table:

[0024]

[0025] S12, platform directly analyzes fault codes

[0026] Each specific vehicle model is assigned a model number and a corresponding fault analysis matrix. Tbox obtains vehicle bus data in real time at a certain frequency and uploads it to the backend. The platform identifies the specific vehicle model number based on the frame number uploaded by Tbox, and then corresponds the specific vehicle model number to the fault analysis matrix to parse out the fault name defined by the OEM.

[0027] Correspondence between vehicle model code and communication matrix code:

[0028] Model code Communication matrix code V001 CAN001 V002 CAN002 V003 CAN003 V00N CAN00N

[0029] Required fields for the Fault Resolution Matrix:

[0030]

[0031] S13. Query the current / historical faults of the vehicle: Search the frame number / license plate number through the smart terminal platform to query the specific vehicle fault information. You can query the faults that occurred within a time period and refresh the current vehicle fault status. Maintenance personnel can also log in to the platform through the user terminal (such as a computer or mobile phone APP) to view the fault repair instructions.

[0032] Wherein, step S11 specifically includes the following process:

[0033] S111. Integrate the fault information of each vehicle manufacturer and each model: collect and classify the fault information and fault analysis rules of each model of the cooperating vehicle manufacturer by brand and model;

[0034] S112. Mapping universal faults: Formulate universal fault definition specifications, map the collected fault information of each vehicle model one by one, and form a fault diagnosis mapping table.

[0035] Wherein, step S13 specifically includes the following process:

[0036] S131. Query current faults: Query specific vehicle fault information by searching the vehicle frame number / license plate number. The main interface refreshes the fault number and fault code status at a refresh rate of about 10 seconds. In the details interface, the real-time fault can see the fault code and fault description, and you can view relevant maintenance instructions through the link;

[0037] S132. Specific vehicle fault information can be found by searching the vehicle frame number / license plate number. The main interface refreshes the fault number and fault code status at a frequency of approximately once every 10 seconds. The fault code and fault description can be seen in the historical faults in the details interface. Relevant maintenance instructions can be viewed through the link; the date can also be selected to view the fault information of a specific day.

[0038] In this embodiment, the fault information of each vehicle model of the automobile manufacturer in step S12 includes: a universal fault code, a universal fault name, a fault name defined by the host manufacturer, a fault name defined by the host manufacturer, and a fault name defined by the host manufacturer.

[0039] In this embodiment, the fields required for the fault analysis matrix in step S12 include: fault name defined by the host manufacturer, message type, message identifier, baud rate, message sending type, message cycle time, message length, arrangement format, start byte, start bit, signal sending type, signal length, data type, precision, offset, physical minimum value, physical maximum value, initial value, and signal value description.

[0040] The present invention integrates the fault information of different models of each OEM, maps it into universal fault codes and fault names, uploads fault data through Tbox, and directly parses the vehicle fault information on the platform. There is no need to use special equipment such as diagnostic instruments, and fault information can be obtained directly on the platform through general devices such as computers and mobile phones. The platform can query the current and historical fault information of the vehicle, intuitively display the fault description and maintenance instructions, and thus improve the efficiency of fault diagnosis and maintenance.

[0041] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A method for remote fault diagnosis of pure electric vehicles, characterized in that: The steps include: S11. Fault information integration: Integrate fault information of various car manufacturers and models, map them to universal fault codes and fault names to form standardized documents; S12, platform directly analyzes fault codes Each specific vehicle model is assigned a model number and a corresponding fault analysis matrix. Tbox obtains vehicle bus data in real time at a certain frequency and uploads it to the backend. The platform identifies the specific vehicle model number based on the frame number uploaded by Tbox, and then corresponds the specific vehicle model number to the fault analysis matrix to parse out the fault name defined by the OEM. S13. Query the current / historical faults of the vehicle: Search the vehicle frame number / license plate number through the smart terminal platform to query the specific vehicle fault information. You can query the faults that occurred within a time period and refresh the current vehicle fault status. Maintenance personnel can also log in to the platform through the user terminal to view the fault repair instructions.

2. A pure electric vehicle fault remote diagnosis method according to claim 1, characterized in that: The step S11 specifically includes the following process: S111. Integrate the fault information of each vehicle manufacturer and each model: collect and classify the fault information and fault analysis rules of each model of the cooperating vehicle manufacturer by brand and model; S112. Mapping universal faults: Formulate universal fault definition specifications, map the collected fault information of each vehicle model one by one, and form a fault diagnosis mapping table.

3. A pure electric vehicle fault remote diagnosis method according to claim 1, characterized in that: The step S13 specifically includes the following process: S131. Query current faults: Query specific vehicle fault information by searching the vehicle frame number / license plate number. The main interface refreshes the fault number and fault code status at a refresh rate of about 10 seconds. In the details interface, the real-time fault can see the fault code and fault description, and you can view relevant maintenance instructions through the link; S132. Specific vehicle fault information can be found by searching the vehicle frame number / license plate number. The main interface refreshes the fault number and fault code status at a frequency of approximately once every 10 seconds. The fault code and fault description can be seen in the historical faults in the details interface. Relevant maintenance instructions can be viewed through the link; the date can also be selected to view the fault information of a specific day.

4. A pure electric vehicle fault remote diagnosis method according to claim 1, characterized in that: In step S12, the fault information of each vehicle model of the automobile manufacturer includes: a universal fault code, a universal fault name, a fault name defined by the host manufacturer, a fault name defined by the host manufacturer, and a fault name defined by the host manufacturer.

5. A pure electric vehicle fault remote diagnosis method according to claim 1, characterized in that: The fields required for the fault analysis matrix in step S12 include: fault name defined by the host manufacturer, message type, message identifier, baud rate, message sending type, message cycle time, message length, arrangement format, start byte, start bit, signal sending type, signal length, data type, precision, offset, physical minimum value, physical maximum value, initial value, and signal value description.

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