JP-7856060-B2 - Diagnostic equipment

Inventors

• 加島 英樹

Assignees

• 株式会社デンソー

Dates

Publication Date

20260511

Application Date

20230628

Claims (7)

1. A diagnostic device mounted in a vehicle along with electrically connected components, capable of acquiring diagnostic information correlated with vehicle malfunctions, A determination unit (S11, S11a) that determines whether or not the aforementioned parts have been replaced, A diagnostic device comprising: a storage unit (S12, S13, S12a, S13a, S15a, S16a) that stores, when it is determined that a replacement has been performed, the part information of the replaced part and the diagnostic information acquired at least before it was determined that a replacement had been performed.
2. The diagnostic device according to claim 1, wherein the storage unit classifies the diagnostic information before it is determined that a replacement has been performed as an abnormal state and stores the diagnostic information after it is determined that a replacement has been performed as a normal state.
3. It is installed in the communication system together with an electronic control unit connected via a communication line, The system comprises a communication device that communicates with the electronic control device via the communication line, and a storage device that stores exchange confirmation information common to the electronic control device. The diagnostic device according to claim 2, wherein the determination unit determines that the part has been replaced when the replacement confirmation information received via the communication device does not match the replacement confirmation information stored in the storage device.
4. The aforementioned replacement confirmation information includes the aforementioned parts information, The diagnostic device according to claim 3, wherein the determination unit determines that a part has been replaced if the part information of the replacement confirmation information received via the communication device does not match the part information of the replacement confirmation information stored in the storage device, and identifies the replaced part.
5. The wire harness has a connector in which multiple terminals are electrically connected. The diagnostic device according to claim 4, further comprising a harness determination unit (S51) that determines that a wire harness having a plurality of terminals has been replaced when there is a change in the electrical characteristics between a plurality of terminals connected to the connector.
6. The aforementioned component information includes connector information indicating whether or not the wire harness has been replaced for each connector. The diagnostic device according to claim 5, wherein the determination unit determines that the wire harness, which is the component, has been replaced if the component information of the replacement confirmation information received via the communication device does not match the component information of the replacement confirmation information stored in the storage device, and identifies which of the plurality of connectors the replaced wire harness was connected to.
7. The diagnostic device according to claim 2 or 5, wherein the diagnostic information classified as an abnormal state, the component information of the replaced component, and the diagnostic information classified as a normal state are used as input data for machine learning to generate a fault diagnosis model.

Description

This disclosure relates to a diagnostic device. Patent Document 1 discloses an anomaly diagnosis system. This system comprises an image processing device with a storage unit that stores control-related information as log data, and a machine learning means that determines the cause of a malfunction in the image processing device from the log data based on machine learning. Furthermore, the anomaly diagnosis system includes a setting means for inputting information about the work performed to address the malfunction. The machine learning means then determines the cause of the malfunction from the log data and the work information. Japanese Patent Publication No. 2021-92715 This is a block diagram illustrating the schematic configuration of an in-vehicle system.This flowchart shows the process of requesting and distributing connection codes by the master ECU.This is a flowchart showing the transmission process of the master ECU.This image shows an example of control data.This is a flowchart showing the response processing of the slave ECU.This is a flowchart showing the process of storing the connection code of the slave ECU.This is an image diagram showing an example of a frame format.This flowchart shows the request and distribution process of connection codes by the Starter ECU in the second embodiment.This is a flowchart showing the wire harness replacement determination process in the second embodiment.This is an image diagram showing an example of the frame format of the second embodiment.This is an illustrative diagram showing an example of the terminal section of the second embodiment. In the following, several embodiments for implementing this disclosure will be described with reference to the drawings. In each embodiment, parts corresponding to those described in a previous embodiment may be denoted by the same reference numerals, and redundant explanations may be omitted. If only a part of the configuration is described in each embodiment, the other parts of the configuration can be described by referring to and applying to other embodiments described earlier. (First Embodiment) The master ECU 100 and the in-vehicle system 1000 including the master ECU 100 of the first embodiment will be described with reference to Figures 1 to 7. In this embodiment, an example is adopted in which a diagnostic device is applied to the master ECU 100. In this embodiment, an example is adopted in which a communication system is applied to the in-vehicle system 1000. However, the diagnostic device can also be applied to slave ECUs 201 to 20n. ECU is an abbreviation for Electronic Control Unit. In the drawings, the center is labeled CNT, the master ECU is labeled MECU, and the slave ECUs are labeled 1ECU or nECU. Furthermore, the drawings label the microcontroller as MCU, the memory device as MMD, and the communication device as DCM. <In-vehicle systems, center> As shown in Figure 1, the in-vehicle system 1000 comprises a master ECU 100, slave ECUs 201 and 20n, and a communication line 30. The in-vehicle system 1000 is mounted in a vehicle. The master ECU 100 and the slave ECUs 201 and 20n are configured to communicate via the communication line 30. The slave ECUs 201 and 20n correspond to electronic control units. Furthermore, the in-vehicle system 1000 is configured to communicate wirelessly with a center 10 located outside the vehicle. In this embodiment, as an example, a configuration is adopted in which the master ECU 100 communicates with the center 10. Center 10 comprises a server including a microcontroller 11 and a memory device 12, a communication device 13, and an antenna 14. Center 10 is configured to communicate with the in-vehicle system 1000. Furthermore, Center 10 is configured to communicate individually with each in-vehicle system 1000 installed in multiple vehicles. Therefore, Center 10 can receive various types of information from multiple in-vehicle systems 1000. This information includes normal and abnormal diagnostic information, and identification information unique to each ECU. These types of information will be explained in detail later. The microcontroller 11 comprises a processing unit such as a CPU, storage media such as RAM and ROM, and input/output devices. The memory device 12 is a hard disk or similar with a larger capacity than the storage media within the microcontroller 11. The communication device 13 is a device that performs wireless communication via the antenna 14. CPU stands for Central Processing Unit. RAM stands for Random Access Memory. ROM stands for Read Only Memory. The microcontroller 11 receives diagnostic information and other data from each in-vehicle system 1000 via the communication device 13 and antenna 14. The received diagnostic information and other data are stored in a storage medium or memory device 12. Furthermore, the microcontroller 11 performs machine learning on normal information, abnormal information, and identification information. The microcontroller 11