JP2005265454A - Fault diagnosis device for vehicle - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To detect highly accurately an abnormality of a control component or a control system loaded on a vehicle. <P>SOLUTION: This fault diagnosis device 130 for the vehicle stores beforehand the kind of an operation signal used for abnormality detection and an abnormality detection condition wherein an analysis method of the operation signal is described relative to each diagnosis item, collects operation signals from a plurality of control components or control systems loaded on the vehicle, stores the collected operation signals, takes out a pertinent operation signal from the abnormality detection condition corresponding to a designated diagnosis item and analyzes the operation signal following the analysis method, and detects the abnormality of the control component or the control system relative to the diagnosis item. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

  The present invention relates to a vehicle failure diagnosis apparatus that can detect an abnormality of a control component or a control system mounted on a vehicle with high accuracy.

In recent years, many electronic control devices are mounted on a vehicle, and driving is supported by a large number of control systems to improve safety. Therefore, abnormal operation of the control components such as sensors and switches connected to the electronic control device and the control system directly leads to a decrease in safety. For this reason, as described in Patent Document 1 below, the operation state of the control component and the control system is collected using the vehicle data collection device, and the developer analyzes the collected data to check whether there is an operation abnormality. Are considering.
JP-A-11-160202

  In this way, conventionally, the developer analyzes the collected data to examine whether there is an operation abnormality (design failure or manufacturing failure). It takes a long time to identify and repair the abnormality.

  The present invention has been made to solve the conventional problems as described above, and is capable of detecting an abnormality of a control component or a control system mounted on a vehicle with high accuracy. The purpose is to provide.

  In order to achieve the above object, a vehicle fault diagnosis apparatus according to the present invention stores operation signal collection means for collecting operation signals from a plurality of control components or control systems mounted on the vehicle, and stores the collected operation signals. Corresponding to the specified diagnosis item, the operation signal storage means, the abnormality detection condition storage means for storing the abnormality detection condition in which the type of the operation signal used for abnormality detection and the analysis method of the operation signal are recorded for each diagnosis item An abnormality detection means for extracting a corresponding operation signal from the abnormality detection condition, analyzing the operation signal according to the analysis method, and detecting an abnormality of the control component or the control system with respect to the diagnosis item. Is.

  According to the present invention configured as described above, since the analysis of the operation signal collected based on the abnormality detection condition in which the type of the operation signal used for abnormality detection and the analysis method of the operation signal is described, Abnormalities in the control component or control system can be detected promptly and with high accuracy. In addition, since the analysis of the operation signal is automatically performed based on the abnormality detection condition, the analysis can be performed by a worker on the production site, and the time required for the analysis and repair can be shortened. Further, the detection of the accuracy can be performed by changing the content of the abnormality detection condition to an optimum one by feedback from the operator.

  Embodiments of a vehicle fault diagnosis apparatus according to the present invention will be described below in detail with reference to the drawings. FIG. 1 is a diagram illustrating a state in which a vehicle failure diagnosis apparatus vehicle and a control component or control system to be subjected to failure diagnosis are connected by a dual-use network.

  An engine control unit 110 that controls the operation of the engine, a transmission control unit 120 that controls the operation of the transmission gear, and a vehicle failure diagnosis device 130 are connected to the vehicle network 100. Connected to the engine control unit 110 are a water temperature sensor 112 that detects the temperature of engine cooling water, a vehicle speed sensor 122 that detects the speed of the vehicle, an engine speed detection sensor 124 that detects the engine speed, and various switches 114. ing. On the other hand, the transmission control unit 120 is connected with various switches 126 including a vehicle speed sensor 122, an engine speed detection sensor 124, and a position switch for detecting a gear position.

  The engine control unit 110 and the transmission control unit 120 communicate information with each other via the vehicle network 100. In addition, although many units other than these units are connected to the network 100 for vehicles, in order to simplify description, only two units are illustrated in FIG. Normally, the engine control unit 110 and the transmission control unit 120 communicate their information at regular intervals. The vehicle failure diagnosis apparatus 130 is always connected to the vehicle network 100, but does not always collect information flowing through the vehicle network 100, but operates only when failure diagnosis is necessary. In addition, when a malfunction occurs in a control component such as a sensor or switch connected to each unit, information that is different from the information that normally flows may flow or may be different from the cycle that is normally performed. Communication starts to be performed periodically. In such a case, the vehicle failure diagnosis apparatus 130 may start operating or may be operated manually.

  FIG. 2 is a block diagram showing a schematic configuration of the vehicle failure diagnosis apparatus 130 according to the present invention.

  The vehicle failure diagnosis device 130 includes an input device 132, a display device 134, a CPU 136, a memory 138, and an interface 140. The input device 132 functions as input means for designating diagnosis items. The input device 132 inputs an identification symbol such as activation of an operation program by an operator, start and end of data collection (in the case of manual operation), and a vehicle number. Further, from the input device 132, an item for diagnosing a failure of the control component itself, an item for diagnosing a failure of the control system, communication between the control component and an electronic control device to which the control component is connected, or communication within the control system A diagnostic item including an item for diagnosing a system failure is designated. The display device 134 functions as a display unit. The display device 134 indicates that the diagnosis result of the diagnosis item designated by the input device 132 is, for example, “normal” if the diagnosis result is normal and “abnormal” if the diagnosis result is abnormal. It is displayed along with the name of the target control component or control system. The display device 134 also displays statistical data such as collected operation signal values and graphs.

  The CPU 136 functions as an operation signal collection unit and an abnormality detection unit. When functioning as an operation signal collection unit, the CPU 136 collects operation signals from a plurality of control components or control systems mounted on the vehicle (via an interface 140 described later) according to the operation program. When collecting operation data, it is performed with reference to a list in which operation signals to be collected are arranged by type. This list is stored in a memory 138 described later. Further, when functioning as an abnormality detection means, the CPU 136 applies an operation signal corresponding to a diagnosis item designated by the input device 132 from a corresponding abnormality detection condition (stored in a memory 138 described later). And the operation signal is analyzed according to the analysis method described in the abnormality detection condition to detect an abnormality of the control component or the control system for the diagnosis item. Note that the analysis method under the abnormality detection conditions includes comparison with the reference value of each operation signal used for abnormality detection, comparison between the operation signals, timing of the comparison, four arithmetic operations between the operation signal and the reference value, and four rules between the operation signals. It consists of any one of a calculation, a comparison between a numerical value after the calculation and a reference value, a comparison between the numerical values after the calculation, and an absolute value calculation after the calculation, or a combination thereof.

  The memory 138 functions as an operation signal storage unit and an abnormality detection condition storage unit. When functioning as an operation signal storage means, the memory 138 stores the operation signals collected by the CPU 136. The operation signals are usually collected at a constant cycle, but in order to save the storage capacity of the memory 138, the operation signals are collected only when failure diagnosis is necessary. Further, when functioning as an abnormality detection condition storage means, an abnormality detection condition in which the type of operation signal used for abnormality detection and the analysis method of the operation signal is stored for each diagnosis item. Note that the memory 138 also stores a list used when collecting operation programs and operation data of the CPU 136.

  FIG. 3 shows a specific example of the abnormality detection condition stored in the memory 138, that is, an operation signal analysis method.

  Function 1 is set to compare the operation signal with the upper limit value or lower limit value of the reference value. If function 1 is applied to the collected operation signal, the value of the operation signal can be compared with the reference value. Function 2 sets the timing of comparison between the upper limit value of the operation signal and the operation signal. If the function 2 is applied to the collected operation signal, the timing of comparison between the value of the operation signal and the reference value can be set. Function 3 is a setting for comparing a plurality of operation signals in association with each other. If function 3 is applied to the collected operation signals, a certain operation signal can be compared with a plurality of operation signals. Function 4 is a setting for comparing operation signals with each other, and function 5 is a setting for performing four arithmetic operations between the operation signal and a reference value. If these functions are applied to the collected operation signals, the operation signals can be compared with each other, or the operation signals after the four arithmetic operations can be compared with each other. Function 6 is a setting for performing four arithmetic operations between operation signals. If the function 6 is applied to the collected operation signals, four arithmetic operations can be performed between the plurality of operation signals. Function 7 is a setting for taking the absolute value of the numerical value after the calculation, Function 8 is a setting for comparing the pre-sampling value and the operation signal, and Function 9 is a determination result with other operation signals. And the operation signal. If these functions are applied to the collected operation signals, it is possible to take an absolute value or to compare with a pre-sampling or determination result.

  Although the outline of each function is as described above, the function 9 will be described in detail with reference to FIG. Function 9 determines whether or not the value of signal 1 is greater than 100 after 10 seconds from the determination ON of signal 1 (same as function 2), and further determines whether or not the value of signal 2 is greater than 100. This is a setting for determining after 10 seconds from the determination of 1.

  Signal 1 in the figure is an operation signal related to the engine speed detected by the engine speed detection sensor 124. Signal 2 is an operation signal related to the vehicle speed detected by the vehicle speed sensor 122. As for the operation signal related to the engine speed, the determination flag is turned on after 10 seconds (time C in FIG. 4) set as the determination start time after the determination ON command is issued (time A in FIG. 4), It is determined whether or not the value of the engine speed is greater than 1000. On the other hand, the operation signal related to the vehicle speed is determined after 10 seconds (time D in FIG. 4) set as the determination start time from when the determination flag of the operation signal related to the engine speed is turned on (time C in FIG. 4). Is turned on and it is determined whether or not the value of the vehicle speed is greater than 100 (not determined at time B in FIG. 4).

  That is, when the function 9 is applied to a signal relating to the engine speed and the vehicle speed, it is determined whether or not the engine speed is higher than 1000 rpm after 10 seconds from the start when the engine speed is stabilized. Whether or not the vehicle speed is greater than 100 km / h is determined 10 seconds after the start of. As described above, the abnormality detection condition can be set for a plurality of operation signals by applying one function.

  As described above, the abnormality detection condition includes the type of operation signal used for abnormality detection and the analysis method of the operation signal. For example, when the diagnosis item is “vehicle speed sensor”, the type of operation signal used for abnormality detection. “Vehicle speed”, “Engine speed signal”, and “Gear position signal” are set, and functions 1, 2, and 3 are set as analysis methods. In this way, in order to determine abnormality in one operation signal, looking at other operation signals and performing multifaceted determination using a plurality of functions, the determination accuracy of presence / absence of abnormality is remarkably improved. To do.

  FIG. 5 is an operation flowchart of the vehicle fault diagnosis apparatus according to the present invention.

  First, the CPU 136 follows the list stored in the memory 138, via the interface 140, the control system operation signal including the engine control unit 110, the control system operation signal including the transmission control unit 120, the water temperature sensor 112, the switch. 114, operation signals (vehicle data) of control components such as the vehicle speed sensor 122, the engine speed detection sensor 124, and the switch 126 are collected and stored in the memory 138 (S1).

  Next, the CPU 136 extracts an operation signal related to the diagnostic item from the memory 138 according to the diagnostic item input from the input device 132, and applies an abnormality detection condition corresponding to the diagnostic item to the control component or the control system. It is analyzed whether there is an abnormality (S2, S3).

  If there is no abnormality in the control component or the control system (defective component) (S3: NO), the process is terminated. On the other hand, if there is an abnormality in the defective part (S3: YES), the field worker repairs or replaces the defective part (S4). Then, in order to improve the control component or the control system and optimize the content of the abnormality detection condition, the collected vehicle data is transmitted to the data analysis department (S5), and the data analysis department The vehicle data is analyzed in detail (S6).

  Next, the process of step S2 of FIG. 5 will be described in more detail based on the flowcharts of FIGS.

  FIG. 6 is a flowchart showing a specific analysis procedure when the vehicle speed sensor 122 is designated as a diagnostic item. In the case of this diagnostic item, the abnormality detection conditions include three types of operation signals used for abnormality detection: “vehicle speed”, “engine speed signal”, and “gear position signal”, and functions 1, 2, 3 as analysis methods. Is set.

  When the diagnosis of the vehicle speed sensor 122 is designated, the CPU 136 takes out operation signals relating to the vehicle speed, the engine speed, and the gear position from the memory 138 (S11). Next, the CPU 136 uses the function 1 to determine whether or not each operation signal satisfies the set upper and lower limits. Further, the CPU 136 uses the function 3 to calculate three operation signals. Specifically, it is calculated whether the vehicle speed (signal 1) is 100 or more, the engine speed (signal 2) is smaller than 10, and the gear position signal (signal 3) is 0 (S13). ). The CPU 136 uses the function 2 to delay the abnormality determination timing of the vehicle speed sensor 122 by 10 seconds (S14). The CPU 136 determines whether or not the vehicle speed sensor 122 is abnormal after 10 seconds have elapsed (S15). The CPU 136 sends the determination result to the display device 134, and the display device 134 displays the result (S16).

  As described above, even when it is determined whether the vehicle speed sensor 122 is normal or abnormal, the operation signal related to this operation signal, that is, the engine speed and the gear position, is not merely based on the operation signal from the vehicle speed sensor 122. If the operation signal is taken into consideration, the determination can be made with high accuracy. For example, even if the signal obtained from the vehicle speed sensor 122 alone is a normal value, a case where an unthinkable value is output from the engine speed or gear position can be considered. In the present embodiment, this is the case. In this case, the abnormality of the vehicle speed sensor 122 can be determined.

  FIG. 7 is a flowchart showing a specific analysis procedure when the water temperature sensor 112 is designated as a diagnostic item. In the case of this diagnosis item, the abnormality detection conditions are set as “water temperature” and “starter switch” as types of operation signals used for abnormality detection, and functions 1, 2, and 3 as analysis methods.

  When the diagnosis of the water temperature sensor 112 is designated, the CPU 136 takes out operation signals relating to the water temperature and the starter switch from the memory 138 (S21). Next, the CPU 136 uses the function 1 to determine whether or not each operation signal satisfies the set upper and lower limits. Further, the CPU 136 uses the function 3 to calculate two operation signals. Specifically, it is calculated whether the water temperature (signal 1) is 100 or more and the starter switch signal (signal 3) is 0 (S23). The CPU 136 uses the function 2 to delay the abnormality determination timing of the water temperature sensor 112 by 10 seconds (S24). The CPU 136 determines whether or not the water temperature sensor 112 is abnormal after 10 seconds have elapsed (S25). The CPU 136 sends the determination result to the display device 134, and the display device 134 displays the result (S16).

  As described above, even when it is determined whether the water temperature sensor 112 is normal or abnormal, not only the operation signal from the water temperature sensor 112 but also the operation signal related to this operation signal, that is, the operation signal related to the starter switch is also provided. In consideration, the abnormality of the water temperature sensor 112 can be determined when the water temperature sensor 112 outputs an abnormally high value even though the starter switch is not turned on.

Although described abnormality judgment that the vehicle speed sensor 122 and water temperature sensor 112 in the above, the brake switch, an intake sensor, the analysis method becomes a combination of functionality 1-9 above for controlling components such as O ₂ sensor By setting this, it becomes possible to automatically make a highly accurate determination. This embodiment can be applied not only to engine parts but also to abnormality detection of drive systems and outfitting parts.

  Since the present invention can detect an abnormality of a control component or a control system mounted on a vehicle with high accuracy, the present invention can be applied as a vehicle fault diagnosis device used at a site such as a production factory or a repair factory.

It is a figure which shows the state in which the failure diagnosis apparatus vehicle for vehicles and the control components or control system used as the object of failure diagnosis are connected by the bilateral network. It is a block diagram which shows schematic structure of the failure diagnosis apparatus for vehicles which concerns on this invention. This is a specific example of the abnormality detection condition stored in the memory, that is, an operation signal analysis method. It is a figure where it uses for detailed operation | movement description of the function 9 shown in FIG. It is an operation | movement flowchart of the failure diagnosis apparatus for vehicles which concerns on this invention. It is a subroutine flowchart of the process of the step of S2 of FIG. It is a subroutine flowchart of the process of the step of S2 of FIG.

Explanation of symbols

100 network for vehicles,
110 engine control unit,
112 water temperature sensor,
114 switches,
120 transmission control unit,
122 vehicle speed sensor,
124 engine speed detection sensor,
126 switch,
130 vehicle fault diagnosis device,
132 input devices,
134 display device,
136 CPU,
138 memory,
140 Interface.

Claims (4)

An operation signal collecting means for collecting operation signals from a plurality of control components or control systems mounted on the vehicle;
An operation signal storage means for storing the collected operation signals;
An abnormality detection condition storage means for storing, for each diagnosis item, an abnormality detection condition in which the type of the operation signal used for abnormality detection and an analysis method of the operation signal are recorded;
An abnormality detection means for extracting a corresponding operation signal from an abnormality detection condition corresponding to a designated diagnosis item, analyzing the operation signal according to the analysis method, and detecting an abnormality of the control component or the control system with respect to the diagnosis item; ,
A vehicle fault diagnosis device comprising:   The analysis method under the abnormality detection condition includes comparison with reference values of operation signals used for abnormality detection, comparison between operation signals, timing of the comparison, four arithmetic operations between operation signals and reference values, four arithmetic operations between operation signals. 2. The vehicle according to claim 1, comprising any one of a comparison between a numerical value after calculation and a reference value, a comparison between numerical values after calculation, calculation of an absolute value of a numerical value after calculation, or a combination thereof. Fault diagnosis device. Furthermore, it has an input means for designating the diagnostic item,
The diagnosis item includes an item for diagnosing a failure of the control component itself, an item for diagnosing a failure of the control system, between the control component and an electronic control device to which the control component is connected, or in the control system The vehicle fault diagnosis apparatus according to claim 1, further comprising an item for diagnosing a communication system fault.   The vehicle fault diagnosis apparatus according to claim 1, further comprising display means for displaying an abnormality detected by the abnormality detection means.

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