CN102658820A - Method for checking reliability of operating data of vehicle - Google Patents

Abstract

The invention relates to a method for plausibility analysis of operating data of a vehicle, in particular for evaluating the operating data of a vehicle (2) by means of at least one sensor (3) for position determination and/or time determination A method for performing a plausibility analysis, in which kinematic data are ascertained using sensor data (4) and compared with vehicle characteristic data. Take action when there is a deviation.

Description

Method for plausibility analysis of operating data of a vehicle

technical field

The invention relates to a method for plausibility analysis of operating data using sensor data as well as a computer program and a computer program product for carrying out the method according to the preambles of the independent claims.

Background technique

A test system is known from DE 10 2007 017 406 A1 for determining vehicle properties in the context of a driving dynamics test procedure. Provision is made here for the test vehicle to have a vehicle-integrated GPS system with high local resolution for acquiring position and other driving information. Furthermore, means for receiving and storing data provided by the GPS system are provided in the test vehicle. The other driving information mainly includes the direction and speed of the test vehicle.

The recording method and the associated navigation system are described in the document DE 10242127. In this case, a navigation system is used for recording and/or documenting a route of a vehicle, wherein in particular route-determining data such as speed and kilometers are recorded in a defined manner.

In the document DE 19640940 A1 a navigation system is proposed which stores data about the state of motion of the motor vehicle, so that the navigation system is also used as a tachograph. In this case, the navigation system includes a navigation system for determining the position as well as a device for acquiring the time and a memory in which a predetermined number of data records with positions and associated times can be stored. Based on the determined position and the recorded time, the speed or acceleration of the vehicle with built-in navigation system can be calculated here.

Contents of the invention

In contrast, the method according to the invention, which has the features of the characterizing part of the independent claim, has the advantage that kinematic operating data are ascertained using stored sensor data and compared with stored vehicle characteristic data. Perform a plausibility analysis of the kinematic operating data and detect implausible operating data of the vehicle (2) if there is a deviation outside a predeterminable threshold value for the kinematic data and take at least a measure. Such implausible operating data can be caused, for example, by the operation of components.

Advantageously, due to the identification and storage of implausible operating data of the vehicle, maintenance and warranty claims to the manufacturer can be checked on the basis of the operating data. Hitherto, it has not been possible or only very difficult to detect changes in the power and torque characteristics after the corresponding components have been used and removed. Changes to components are now recognized and stored. Modifications of components can thus be documented, for example, by means of time stamps and existing operating data.

Another advantage is that measures can be taken in the event of detection of implausible operating data. In this way, damage to the components can be prevented, for example by targeted switching off of individual components. As an alternative, the motor vehicle can advantageously also be put into emergency mode, whereby the performance data of the vehicle is reduced to such an extent that no damage can occur, but the driver can still continue driving. Such an emergency start operation can also be activated when an interaction with a safety-relevant system is anticipated, for example.

A further advantage is that traffic hazards due to unauthorized intervention can be reduced, for example further starting of the vehicle can be prevented so that no new driving cycle occurs. Normal operation can be returned, for example, only by a repair station.

The driving cycle describes the sequence from starting the vehicle, through the possible distance traveled, until the vehicle is switched off. During coasting after a possible shutdown of the vehicle, the acquired sensor data can be stored, wherein the driving cycle ends after the storage. It is also possible to start a new driving cycle after coasting is interrupted, for example by restarting the vehicle by the driver.

Yet another advantage is that a reminder can be given to the driver and/or purchaser of the vehicle. The driver and/or the purchaser can thus also be alerted to implausible operating data which cannot be determined without additional measures.

Further advantageous embodiments of the invention are the subject of the dependent claims.

Irreliable operating data can be caused by changes in components, for example by operation of adjustment measures, and/or also by aging of individual components. The method can thus also detect aged components which, on the basis of faulty functions, have calculated incorrect control parameters.

The controller and/or the computing device separate from the controller preferably contain at least one electrical memory in which the method steps are stored as a computer program.

The computer program according to the invention provides for carrying out all the steps of the method according to the invention when the program is run in the controller and/or in a computing device separate from the controller.

A computer program product having program code means stored on a machine-readable storage device implements the method according to the invention when the program is run in a controller and/or a computing device separate from the controller.

Description of drawings

Exemplary embodiments of the invention are shown in the drawings and are further explained in the following description. in:

Fig. 1 is the example based on the driving situation of the present invention;

Fig. 2 is the example of the running data of kinematics obtained based on the method of the present invention;

Figure 3 is a flow chart of an embodiment of a method according to the invention; and

Figure 4 is a schematic illustration of an embodiment of a device suitable for carrying out the method according to the invention.

Detailed ways

The driving situation 1 shown in FIG. 1 shows a vehicle ( 2 ) in a lane (F). The vehicle has at least one controller (3) and at least one sensor (4). Possible sensors ( 4 ) can, for example, acquire wheel pulse counter signals, signals for position determination and/or time determination. The signal may eg be a GPS signal.

Kinematic operating data are ascertained in the controller (3) using the sensor data of at least one sensor (4) ascertained during driving. In Figure 1, the vehicle (2) is traveling at a velocity (V1). The speed ( V1 ) of the vehicle ( 2 ) is obtained from the acquired sensor data, for example, from the difference between the position ( P1 ) at the time ( T1 ) and the position at the time ( T2 ). From these data, for example, the acceleration of the vehicle (2) is also ascertained.

In the controller (3), the kinematic operating data are compared with the characteristic data of the vehicle (2) stored in the controller (3). These characteristic data include at least one vehicle-specific parameter such as vehicle weight, maximum speed, maximum torque, maximum acceleration, transmission ratio of the drive train and/or power stage, wherein the parameter can also be determined as a function of the driver.

From this comparison, implausible operating data of the vehicle (2) are identified. If untrustworthy operating data is identified, at least one action is taken. Measures can be, for example, the driver preventing further starting of the vehicle (2), shutting down individual components of the vehicle (2) or setting a speed limit for the vehicle (2) and/or operating the vehicle (2) in an emergency mode of operation .

In addition, a plausibility analysis of the acquired kinematic operating data can also be carried out using existing sensors, for example speed sensors.

A further measure may be to store the results of the comparison in order to be able to detect errors in the form of implausible operating data, for example in the event of maintenance and/or warranty claims. For this purpose, time and/or location-related data and/or kinematic data are stored. The duration of a vehicle-specific maximum speed and/or maximum acceleration, for example the duration of exceeding the maximum speed and/or maximum acceleration, can be checked using the time and/or location-dependent data. The acquired data can also be acquired only for the current driving cycle and then preferably not be stored by the controller ( 2 ).

Yet another measure can also be to make optical, acoustic and/or image prompts to the driver, and this prompt reminds the driver that there is a change. It is also conceivable, for example, after the driver has been prompted and queried, that a possible start of the vehicle is not carried out by the driver until successful confirmation of the query.

FIG. 2 shows, for example, the distance (S) (S) ( The solid line in Fig. 2) is the result of monitoring the operating data of the vehicle (10). Velocity (V) is the first derivative of the distance (S), and acceleration (A) is the second derivative of the distance (S) function. The positions ( P1 ) and ( P2 ) shown in FIG. 1 at times ( T1 ) and ( T2 ) are registered on the axes of the distance traveled (S) and the time (T). In this example, the vehicle is moving at an almost constant velocity V1 between positions (P1) and (P2) during the time period T2-T1. The speed of the vehicle (2) is within a definable maximum speed (V _max ). At a later point in time (T4), this maximum speed is exceeded, so that it can be concluded that the component has changed. At another point in time ( T3 ), the maximum vehicle-specific acceleration (A _max ) is exceeded.

As an alternative, implausible operating data of certain components are also derived with the aid of certain features, such as velocity values and/or acceleration values. In one example, a water-alcohol mixture is injected into the combustion air during the intake stroke of a supercharged piston engine in order to increase the performance of the internal combustion engine. In this method, in addition to the power increase, the nitrogen oxides are reduced, so that a definite characteristic of the deviation between the operating data and the vehicle data occurs.

Possible measures for increasing the power, with defined features, are eg enlarging and/or smoothing the intake ducts and/or valves, installing additional camshafts, grinding or milling the cylinder crown or cylinder block to increase compression.

FIG. 3 shows a possible flowchart of the method according to the invention. In step (10), the method is started at the beginning of the drive cycle.

The acquisition of sensor data of at least one sensor takes place in step (20). This acquisition can be carried out continuously or at different points in the driving cycle.

If sensor data have been acquired, kinematic operating data are obtained in step (30).

In a further step ( 40 ), the kinematic operating data are compared with stored characteristic data. These characteristic data are preferably stored in the controller and include at least one vehicle-specific parameter such as vehicle weight, maximum speed, maximum torque, maximum acceleration, driveline transmission ratio and/or power level and/or limit values determined by the driver .

The implausible operating data are detected by deviations between the kinematic operating data and the predefinable characteristic data of the vehicle, which lie outside a predeterminable threshold value.

In step (50), at least one measure is taken in step (60) when untrustworthy operating data is identified based on the comparison from step (40). Measures can, for example, prevent further starting of the vehicle, shut down individual components of the vehicle; it is also possible to specify a speed limit for the vehicle and/or to operate the vehicle in an emergency mode of operation. Further measures are storage of comparison results, storage of kinematic operating data, optical, acoustic and/or visual indications to the user. This result can also be discarded if, for example, a counter that only counts how long the deviation occurred should be incremented. In this regard, the original result is not necessary.

If it is determined that there are no implausible operating data, it is checked in step (70) whether the vehicle is still in the driving cycle. If the driving cycle is not over, then further acquire sensor data in step (20). If the drive cycle is over, the method ends in step (80).

FIG. 4 shows a schematic view of a first embodiment of a device according to the method of the invention. In the vehicle 300 there is at least one controller 301 . The controller 301 is supplied with data by at least one sensor 302 . There may also be other sensors 302(1), 302(2)...302(n). The sensor data can be transferred to the controller 301 directly via the interface or alternatively via a bus system such as the CAN bus. The controller includes at least one memory 306 for storing and processing sensor data, kinematic operating data and vehicle data. The controller 301 controls at least one actuator 305 . The other actuators 305(1), 305(2)...305(n) may be, for example, starters or components that are switched off. Vehicle 300 or control unit 301 may also have further interfaces 307 , for example for interrogating and prompting interaction with the driver.

Claims (11)

1. method that is used to discern the incredible operating data of vehicle (2); Has at least one sensor (3); Wherein obtain sensing data in the process of moving and obtain kinematic operating data, particularly acceleration/accel and/or speed at least one operating point place of said vehicle (2) by said sensing data; It is characterized in that; When the characteristic data of said vehicle and said kinematic operating data are compared, discern the incredible operating data of said vehicle (2) and take at least a measure by being in about the deviation of the operating data outside the ability predetermined threshold value of said kinematic data.

2. by the described method of claim 1; It is characterized in that the different moment more continuously and/or when the on-cycle that goes of said vehicle is initial, in the process and/or when finishing of the characteristic data of said vehicle (2) and said kinematic operating data carry out.

3. by each described method in the aforementioned claim, it is characterized in that, relatively give at least one parts by said, and discern the variation of said parts by said distribution with said deviation and/or said kinematic data allocations.

4. by each described method in the aforementioned claim, it is characterized in that the characteristic data of said vehicle (2) is considered the specific parameter of at least one vehicle, like car weight, maximum speed, torque peak, peak acceleration, transmission system gear shift ratio and/or power level.

5. by each described method in the aforementioned claim, it is characterized in that the specific parameter of said vehicle also can be confirmed according to chaufeur.

6. by each described method in the aforementioned claim; It is characterized in that; When the variation of the parts that identify said vehicle (2), said measure be the said comparison of storage result, the said kinematic operating data of storage, abandon said result, the user done the prompting of optics, acoustics and/or image.

7. by each described method in the aforementioned claim; It is characterized in that said measure is to stop the other starting of said vehicle (2), the single parts of closing said vehicle (2), the velocity limit of confirming said vehicle (2) and/or said vehicle (2) under the operational mode of urgent operation, to move by chaufeur.

8. device that is used to discern the incredible operating data of vehicle (2); Has at least one sensor (3); Wherein in the on-cycle process of going, obtain sensing data; It is characterized in that, discern the incredible operating data of said vehicle (2) and take at least a measure through the characteristic data of said vehicle (2) being compared with kinematic operating data at least one operating point place.

9. by the described device of claim 8, it is characterized in that said at least one sensor (3) is to be used for that the position is confirmed and/or the sensor of timing.

10. computer program with program code means is used for when on computing machine or corresponding calculated unit, carrying out said computer program, implementing by the institute of each said method of claim 1 to 7 in steps.

11. one kind has the computer program that is stored in the program code means on the computer-readable data carrier, is used for when on computing machine or corresponding calculated unit, carrying out by the described computer program of claim 10, implementing according to the institute of each said method of claim 1 to 7 in steps.

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