KR102132850B1 - Vehicle safety component diagnosis apparatus - Google Patents

Abstract

The present invention relates to an apparatus for diagnosing vehicle safety parts, and a vehicle status summarizing unit summarizing a vehicle status based on sensing values collected during a specific section from a plurality of sensors, and a summary of a vehicle status during a plurality of specific sections. Vehicle condition distribution calculation unit that calculates the distribution, an abnormal safety component detection unit that detects an abnormal safety component by determining an abnormal situation related to a specific sensing value through a distribution of the summary of the vehicle status, and a precise diagnosis of the abnormal safety component. It includes a precision diagnosis execution unit to perform. Therefore, the present invention can diagnose a defect of a safety component using sensing values collected from a plurality of sensors.

Description

Vehicle safety parts diagnostic device{VEHICLE SAFETY COMPONENT DIAGNOSIS APPARATUS}

The present invention relates to a vehicle safety component diagnostic technology, and more particularly, to a vehicle safety component diagnostic apparatus capable of diagnosing a defect in a safety component using sensing values collected from a plurality of sensors.

Currently, the self-diagnostic technology for vehicles is applied only to limited objects such as sensors of control systems or engine control device accessories necessary for measuring exhaust gas. Safety parts of vehicles are very likely to lead to fatal accidents in the event of defects, but they are not effectively monitored or diagnosed. Since the vehicle has limited memory resources, each diagnostic method for various parts has an environmental constraint that is difficult to effectively perform.

Korean Registered Patent No. 10-1433307 (2014.08.18) relates to a vehicle management and diagnostic device, and transmits important diagnostic information and driving information in the vehicle to a terminal in the vehicle so that the driver can quickly identify and cope with it. In the event of an accident such as a vehicle collision, the vehicle door may be opened or a relief message may be transmitted, thereby providing an effect of promptly handling an accident.

Korean Registered Patent No. 10-1499092 (2015.02.27) relates to a vehicle diagnostic device, which can measure not only the signal of the ECU, but also a sensor signal that is not provided by the ECU or requires a high speed, and is highly correlated. By receiving the low-speed signal from the low-speed signal collection communication unit and the high-speed signal from the high-speed signal acquisition waveform measurement unit at the same time, it is possible to accurately analyze the cause of the component defects by displaying, comparing, and analyzing changes in the signal over time. Can provide an effective effect.

Korean Registered Patent No. 10-1433307 (2014.08.18) Korean Registered Patent No. 10-1499092 (2015.02.27)

An embodiment of the present invention is to provide a vehicle safety component diagnostic apparatus that can diagnose a defect in a safety component using sensing values collected from a plurality of sensors.

An embodiment of the present invention is to provide a vehicle safety component diagnostic apparatus capable of determining an abnormality in a safety component through distribution of an index value for each of a plurality of diagnostic items constituting a vehicle condition.

An embodiment of the present invention is to provide a vehicle safety component diagnostic apparatus that can accurately diagnose defects in a safety component by sampling sensing values collected during the entire cycle and performing comparative analysis in a frequency domain.

Among embodiments, the vehicle safety component diagnosis apparatus is a vehicle status summarizing unit summarizing the vehicle status based on sensing values collected during a specific section from a plurality of sensors, and a distribution relating to a summary of the vehicle status during a plurality of specific sections. A vehicle condition distribution calculation unit for calculating, an abnormal safety component detection unit that detects an abnormal safety component by determining an abnormal situation related to a specific sensing value through a distribution of the summary of the vehicle status, and performs precise diagnosis on the abnormal safety component It includes a precision diagnosis execution unit.

The vehicle status summary unit may summarize the vehicle status by calculating an index value for each of a plurality of diagnostic items constituting the vehicle status using sensing values collected during the specific section.

The vehicle state distribution calculator may generate a multidimensional coordinate system composed of coordinate axes corresponding to each of the plurality of diagnostic items and calculate a distribution of a plurality of index values during the plurality of specific sections in the multidimensional coordinate system. .

The abnormal safety part detection unit determines a first safety criterion for each coordinate axis based on a distribution of the plurality of index values in the multidimensional coordinate system, and when an index value outside the first safety criterion exists, the corresponding coordinate axis The safety component associated with the corresponding diagnostic item can be determined as the abnormal safety component.

When the abnormal safety part detection unit is associated with the corresponding coordinate axis and an index value outside the first safety standard is distributed for a certain number of consecutive sections, a safety part associated with the diagnostic item corresponding to the corresponding coordinate axis is abnormal safety parts. Can be determined.

The precision diagnosis performing unit performs precision diagnosis through any one of an envelope analysis and a fast Fourier transform (FFT) based on the sensing values collected during the specific section for each of the sensors associated with the abnormal safety component. Index can be calculated.

The precision diagnosis execution unit determines a second safety standard based on the precision diagnosis index during the plurality of specific sections, and diagnoses the defect of the abnormal safety part through comparison between the second safety standard and the precision diagnosis index. Can.

The precision diagnosis performing unit may determine that the abnormal safety component is defective when the precision diagnosis index repeatedly exceeds the second safety criterion for a specific number of consecutive sections.

The disclosed technology can have the following effects. However, since a specific embodiment does not mean that all of the following effects should be included or only the following effects are included, the scope of rights of the disclosed technology should not be understood as being limited thereby.

The vehicle safety component diagnostic apparatus according to an embodiment of the present invention may determine an abnormality of a safety component through distribution of index values for each of a plurality of diagnostic items constituting a vehicle condition.

The vehicle safety component diagnostic apparatus according to an embodiment of the present invention can accurately detect defects in the safety component through sampling and analyzing the sensing values collected during the entire period in the frequency domain.

1 is a view for explaining a vehicle safety component diagnostic system according to an embodiment of the present invention.
FIG. 2 is a block diagram illustrating a vehicle safety component diagnostic device in FIG. 1.
FIG. 3 is a flowchart illustrating a vehicle safety component diagnosis process performed by the vehicle safety component diagnosis apparatus in FIG. 1.
4 to 7 are exemplary views illustrating a process of determining an index for a diagnostic item by using an index for a diagnostic parameter in the vehicle safety component diagnostic device of FIG. 1.
FIG. 8 is an exemplary view illustrating a process of calculating an index distribution for a diagnostic item in the vehicle safety component diagnostic device of FIG. 1.

Since the description of the present invention is merely an embodiment for structural or functional description, the scope of the present invention should not be interpreted as being limited by the embodiments described in the text. That is, since the embodiments can be variously changed and have various forms, it should be understood that the scope of the present invention includes equivalents capable of realizing technical ideas. In addition, the purpose or effect presented in the present invention does not mean that a specific embodiment should include all of them or only such an effect, and the scope of the present invention should not be understood as being limited thereby.

Meanwhile, the meaning of terms described in the present application should be understood as follows.

Terms such as “first” and “second” are for distinguishing one component from other components, and the scope of rights should not be limited by these terms. For example, the first component may be referred to as the second component, and similarly, the second component may also be referred to as the first component.

When a component is said to be "connected" to another component, it may be understood that other components may exist in the middle, although they may be directly connected to other components. On the other hand, when a component is said to be "directly connected" to another component, it should be understood that no other component exists in the middle. On the other hand, other expressions describing the relationship between the components, that is, "between" and "immediately between" or "adjacent to" and "directly neighboring to" should be interpreted similarly.

Singular expressions are to be understood as including plural expressions unless the context clearly indicates otherwise, and terms such as “comprises” or “have” are used features, numbers, steps, actions, elements, parts or the like. It is to be understood that a combination is intended to indicate the existence, and does not preclude the existence or addition possibility of one or more other features or numbers, steps, operations, components, parts or combinations thereof.

In each step, the identification code (for example, a, b, c, etc.) is used for convenience of explanation. The identification code does not describe the order of each step, and each step clearly identifies a specific order in context. Unless stated, it may occur in a different order than specified. That is, each step may occur in the same order as specified, or may be performed substantially simultaneously, or in the reverse order.

The present invention can be embodied as computer readable code on a computer readable recording medium, and the computer readable recording medium includes all kinds of recording devices in which data readable by a computer system is stored. . Examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tape, floppy disks, and optical data storage devices. In addition, the computer-readable recording medium can be distributed over network coupled computer systems so that the computer readable code is stored and executed in a distributed fashion.

All terms used herein have the same meaning as generally understood by a person skilled in the art to which the present invention pertains, unless otherwise defined. The terms defined in the commonly used dictionary should be interpreted as being consistent with meanings in the context of the related art, and cannot be interpreted as having ideal or excessively formal meanings unless explicitly defined in the present application.

As used herein, "vehicle", "vehicular" or other similar terminology includes cars, generally passenger automobiles, buses, including sport utility vehicles (SUVs). , Including trucks, various commercial vehicles, various boats and ships including ships, airplanes, and hybrid vehicles, electric vehicles, hybrid electric vehicles, hydrogen powered vehicles and other alternative fuels (eg, petroleum It is understood to include vehicles (fuels derived from non-resource). As mentioned herein, an electric vehicle (EV) is a part of its locomotion capabilities, and is a rechargeable energy storage device (e.g., one or more rechargeable electrochemical cells or other types of batteries). It is a vehicle containing electric power obtained from. The EV is not limited to automobiles and may include motor cycles, carts, scooters, and the like. In addition, a hybrid vehicle is a vehicle having two or more power sources, for example gasoline-based power and electricity-based power (eg, hybrid electric vehicle (HEV)).

All terms used herein have the same meaning as generally understood by a person skilled in the art to which the present invention pertains, unless otherwise defined. The terms defined in the commonly used dictionary should be interpreted as being consistent with meanings in the context of the related art, and cannot be interpreted as having ideal or excessively formal meanings unless explicitly defined in the present application.

1 is a view for explaining a vehicle safety component diagnostic system according to an embodiment of the present invention.

Referring to FIG. 1, the vehicle safety component diagnostic system 100 includes a vehicle 110, a vehicle safety component diagnostic apparatus 130, a database 150, and a user terminal 170.

The vehicle 110 may correspond to a vehicle as a transportation means for transporting passengers or cargo using power produced by the engine. The vehicle 110 may include a ship, an airplane, etc., as well as a vehicle, and is not necessarily limited thereto, and may include various transportation means that can move using power.

In one embodiment, the vehicle 110 may be implemented by including a plurality of sensors capable of measuring related data to monitor the status of various components. For example, the vehicle 110 includes an accelerator pedal sensor, a brake pedal sensor, a timing belt vibration sensor, a wheel acceleration sensor, a vehicle body acceleration sensor, a vehicle tilt angle sensor, a vehicle vibration sensor, a global positioning system (GPS) sensor, a flow meter, and engine rotation It may include a water sensor, a vehicle speed sensor, a knuckle vibration sensor and a steering angle sensor.

The vehicle safety component diagnosis apparatus 130 may be implemented as a server corresponding to a computer or program capable of diagnosing defects of safety components constituting the vehicle in advance. Here, the safety component may correspond to a component that may affect the safety of the vehicle and the occupant when a defect occurs among components constituting the vehicle. The vehicle safety component diagnostic device 130 may be wirelessly connected to the vehicle 110 through Bluetooth, WiFi, or the like, and may exchange data with the vehicle 110 through a network.

In one embodiment, the vehicle safety component diagnostic apparatus 130 may periodically or in real time receive a sensing value from a plurality of sensors included in the vehicle 110, diagnose the abnormality or defect of the safety component and The results can be provided to the vehicle 110. In another embodiment, the vehicle safety component diagnostic device 130 may be implemented by being included in the vehicle 110.

Vehicle safety parts diagnostic device 130 may be implemented, including a database 150, it may be implemented independently of the database 150. When implemented independently of the database 150, the vehicle safety component diagnostic device 130 may be connected to the database 150 by wire or wirelessly to exchange data.

The database 150 is a storage device capable of storing various information necessary for diagnosing vehicle safety parts. The database 150 may store information about the vehicle 110 and various safety components constituting the vehicle 110, and may store a plurality of sensing values received from the vehicle 110, but is not limited thereto. , In the process of diagnosing vehicle safety parts based on a plurality of sensing values, information collected or processed in various forms may be stored. For example, the database 150 is based on a plurality of sensing values received from the vehicle 110, the engine state, fuel state, coolant state, engine oil state, vehicle speed, fuel residual amount, battery voltage, engine torque, fuel economy, driving Information about distance, gear position and external temperature can be stored.

The database 150 may be composed of at least one independent sub-database storing information belonging to a specific range, and may be composed of an integrated database in which at least one independent sub-database is integrated into one. When composed of at least one independent sub-database, each sub-database may be wirelessly connected through Bluetooth, WiFi, etc., and may exchange data with each other through a network. When configured as an integrated database, the database 150 may include a control unit that integrates each sub-database into one and manages data exchange and control flow between them.

The user terminal 170 may correspond to a computing device capable of receiving a result of a diagnosis of a safety component performed by the vehicle safety component diagnostic apparatus 130 and displaying it through various interfaces. The user terminal 170 may be implemented as a smart phone, a laptop, or a computer, and is not necessarily limited thereto, and may be implemented as various devices such as a tablet PC. The user terminal 170 may be connected to the vehicle safety component diagnostic apparatus 130 through a network, and the plurality of user terminals 170 may be connected to the vehicle safety component diagnostic apparatus 130 simultaneously. In one embodiment, the user terminal 170 may be registered in advance to the vehicle 110 and/or the vehicle safety component diagnostic device 130.

FIG. 2 is a block diagram illustrating a vehicle safety component diagnostic device in FIG. 1.

Referring to FIG. 2, the vehicle safety component diagnosis apparatus 130 includes a vehicle status summary unit 210, a vehicle status distribution calculation unit 230, an abnormal safety component detection unit 250, a precision diagnosis execution unit 270, and a control unit ( 290).

The vehicle status summarizing unit 210 may summarize the vehicle status based on sensing values collected during a specific section from a plurality of sensors. Here, summarizing the vehicle state may mean integrating various pieces of information into one to easily grasp the current state of the vehicle 110. For example, the vehicle status summarizing unit 210 simply summarizes the vehicle status by summarizing it as an index value for each diagnostic item using sensing values received for a period of time from a plurality of sensors included in the vehicle 110. I can arrange it.

In one embodiment, the vehicle status summarizing unit 210 may summarize the vehicle status by calculating an index value for each of a plurality of diagnostic items constituting the vehicle status using sensing values collected during a specific section. Here, the specific section may correspond to a time section for collecting sensing values, and the diagnostic item may correspond to a diagnostic target corresponding to a safety component of the vehicle. The specific section and the diagnostic item may be preset or automatically set by the vehicle safety component diagnostic device 130.

The diagnostic item may include a diagnostic item and at least one diagnostic parameter according to the type of the diagnostic item. For example, the types of diagnostic items may include engine overheating, ball joint overgap, fixed lubrication, quick start, drive shaft, wheel bearing, wheel unbalance, brake judder, damper, timing belt and wheel alignment. It is not necessarily limited to this, and may include various diagnostic items that can be used to diagnose safety parts.

Each type of diagnostic item may include the following diagnostic items and at least one diagnostic parameter. (However, diagnostic items: diagnostic items (diagnostic parameters))

1) Engine overheating: Engine temperature (engine speed, vehicle speed, accelerator pedal angle, outside temperature)

2) Ball joint overgap: double integral value [knuckle vibration-body vibration] (vehicle speed, acceleration/deceleration)

3) Quantitative refueling: refueling amount [the amount of the final fuel-the amount of the first fuel] (the amount of the first fuel, GPS)

4) Sudden oscillation: acceleration [differential value of vehicle speed] (vehicle speed, angle of acceleration pedal, engine speed)

5) Drive shaft: Knuckle vibration (engine speed, vehicle speed, steering angle)

6) Wheel bearing: Knuckle vibration (engine revolution, vehicle speed, angle of accelerator pedal)

7) Wheel unbalance: Knuckle vibration (engine revolution, vehicle speed, acceleration pedal angle)

8) Brake judder: Knuckle vibration (engine speed, vehicle speed, deceleration)

9) Damper: [body vibration-knuckle vibration] (steering angle, vehicle speed, acceleration/deceleration)

10) Timing belt: timing belt vibration [or engine vibration] (engine rotation speed, vehicle speed, acceleration pedal angle)

11) Wheel alignment: Lateral vibration of the wheel (engine speed, vehicle speed)

The vehicle safety parts diagnostic apparatus 130 may diagnose engine overheating when the diagnostic item is engine overheating, and when the mileage of the vehicle is greater than the set mileage, the engine speed, vehicle speed, and acceleration pedal measured by the sensors Under the angle, the actual engine temperature can be collected together as vehicle status information.

When the diagnostic item is an overgap of the ball joint, the vehicle safety component diagnostic apparatus 130 diagnoses the overgap of the ball joint when the brake pedal is on and the accelerator pedal is off, or the brake pedal is In the OFF state and the accelerator pedal is ON, the overgap of the ball joint can be diagnosed. When the brake pedal is ON and the accelerator pedal is OFF, the diagnostic parameters are the vehicle speed and deceleration. When the brake pedal is OFF and the accelerator pedal is ON, the diagnostic parameters are Acceleration.

The vehicle safety component diagnostic device 130, when the diagnostic item is a fixed amount of fuel, when the difference between the amount of the initial fuel at the time when the engine is turned off and on and the engine is off and the amount of the final fuel at the time when the engine is turned on again is greater than or equal to a set value It can be diagnosed by quantitative refueling. The vehicle safety component diagnostic apparatus 130 may diagnose the sudden occurrence in a state in which the brake pedal is on and the acceleration is greater than 0 when the diagnostic item is the sudden occurrence.

The vehicle safety component diagnosis apparatus 130 may perform a diagnosis when the brake pedal is off when the diagnosis item is a wheel unbalance. When the diagnostic item is a brake judder, the vehicle safety component diagnostic apparatus 130 may perform a diagnosis in a state where the brake pedal is on and the accelerator pedal is off. When the diagnostic item is a timing belt, the vehicle safety component diagnostic apparatus 130 may perform the diagnosis while the brake pedal is off. When the diagnostic item is a wheel alignment, the vehicle safety component diagnostic apparatus 130 may perform a diagnosis while the brake pedal is off.

The vehicle status summarizing unit 210 may collect various sensing values from a plurality of sensors during a specific section, and may use all of the collected sensing values or sample only a portion. The collection period or the sampling period of the sensing value may be preset or automatically set by the vehicle safety component diagnostic apparatus 130.

The vehicle status summary unit 210 may determine the index of the diagnostic items and diagnostic parameters for each type of diagnostic item based on the sensing value, and index values for each diagnostic item using index information collected during a specific section. Can be calculated. Here, the index (index) may correspond to a step that includes a specific sensing value measured when the measurement range of the sensing value collected from each sensor is divided into a certain level, and the index value is collected during a specific section It can be calculated using the index information, and may correspond to a value representing the specific section.

For example, the vehicle status summary unit 210 will be described as follows when the process of calculating the index value for engine overheating, which is one of the diagnostic items, is based on sensing values collected during a specific period.

(a) Collect sensing values from sensors corresponding to engine speed, vehicle speed, and accelerator pedal angles, which are diagnostic parameters that make up engine temperature, which is a diagnosis item of engine overheating.

(b) If the engine speed is 230 RPM, the vehicle speed is 35 km/h, and the accelerator pedal angle is 15°, the index of engine speed is 2, the index of vehicle speed is 3, and the index of acceleration pedal angle is 1 (however, the engine The rotation speed 230RPM corresponds to the second stage of the rotational speed range, the vehicle speed of 35km/h is the third stage of the speed range, and the accelerator pedal angle corresponds to the second stage of the angular range.

(c) The index for the engine temperature, which is a diagnosis item of engine overheating, is determined based on the index information calculated for the diagnostic parameters (however, specific processes will be described in more detail in FIGS. 4 to 6).

), 피크(

), 실효값(

), 파고율(

), 왜도(

), 첨도(

), 클리어런스 팩터(

), 임펄스 팩터(

), 쉐입 팩터(

), 확률 함수(

) 및 통계적 모멘트(

) 중 어느 하나에 해당할 수 있다.)(d) Calculate the index value for engine overheating using the index information on engine temperature collected during a specific period (here, the index value is the average of the indexes collected during a certain period (

), peak(

), effective value (

), crest factor (

), skewness (

), kurtosis(

), clearance factor (

), impulse factor (

), shape factor (

), probability function (

) And statistical moment (

).

The vehicle state distribution calculator 230 may calculate a distribution related to a summary of the vehicle state during a plurality of specific sections. The vehicle safety component diagnosis apparatus 130 may divide the entire cycle for vehicle safety component diagnosis into a plurality of specific sections, and the vehicle condition distribution calculator 230 sorts the plurality of specific sections according to a time sequence. Distributions of summaries of vehicle conditions over the entire cycle can be combined into one.

In one embodiment, the vehicle state distribution calculating unit 230 generates a multidimensional coordinate system composed of coordinate axes corresponding to each of a plurality of diagnostic items and distributions related to a plurality of index values during a plurality of specific sections in the multidimensional coordinate system Can be calculated. The vehicle condition distribution calculating unit 230 may display indicator values for each diagnosis item during the entire period calculated by the vehicle condition summary unit 210 in one coordinate system.

The multi-dimensional coordinate system may be implemented such that each axis corresponds to one diagnostic item, and the unit of each axis may correspond to an index unit for the diagnostic item of the corresponding diagnostic item. For example, if there are three diagnostic items such as engine overheating, ball joint overgap, and quantitative refueling, the first axis constituting the multidimensional coordinate system is engine overheating, the second axis is ball joint overgapping, and the third axis is quantitative refueling, respectively. Can be countered. In addition, when the index of the engine temperature is divided into 10 steps, the first axis may use units divided into 10 steps.

In one embodiment, the vehicle state distribution calculating unit 230 generates a multidimensional coordinate system composed of coordinate axes corresponding to each of the plurality of sensors, and distributes distributions of a plurality of sensor values during a plurality of specific sections in the multidimensional coordinate system. Can be calculated. In another embodiment, the vehicle state distribution calculator 230 may generate a multidimensional coordinate system corresponding to each of a plurality of diagnostic items. Each axis of the multidimensional coordinate system corresponding to one diagnostic item may correspond to sensors associated with a diagnostic parameter included in the corresponding diagnostic item. The vehicle safety component diagnosis apparatus 130 may store the multidimensional coordinate system generated by the vehicle condition distribution calculation unit 230 in the database 150 and use it for the safety component diagnosis.

The abnormal safety component detection unit 250 may detect an abnormal safety component by determining an abnormal situation regarding a specific sensing value through distribution related to a summary of vehicle conditions. For example, when the multi-dimensional coordinate system is composed of axes corresponding to each sensor, if there are sensing values distributed within a certain area and sensing values separated by a certain distance through distribution related to the summary of the vehicle state, the sensing situation is abnormal. By determining that this has occurred, it can be determined that there is something wrong with the safety component associated with the sensor.

In one embodiment, the abnormal safety component detection unit 250 determines a first safety standard for each coordinate axis based on a distribution of a plurality of index values in a multidimensional coordinate system, and an index value out of the first safety standard exists In this case, the safety component associated with the diagnostic item corresponding to the corresponding coordinate axis may be determined as the abnormal safety component.

The first safety standard for each diagnostic item can be calculated as follows.

1) Engine overheat

Teref(engine speed, vehicle speed, accelerator pedal angle, outside temperature) = Ref. Level of Index (engine speed, vehicle speed, accelerator pedal angle, ambient temperature) * Fte (=1.5, 2.0: warning, alarm) in Index of engine temperature (engine revolution, vehicle speed, accelerator pedal angle, ambient temperature) at RPMTL <Engine speed <RPMM, VTL (engine speed) <Vehicle speed <VTH (engine speed), and ATL (engine speed, vehicle speed) <Acceleration pedal angle <ATH (engine speed, vehicle speed) & CLASS (external temperature) )

2) Ball joint overgap

-Dvref (vehicle speed, deceleration) = Ref. Level of Index (vehicle speed, deceleration) * Fdv (=1.5, 2.0: warning, alarm) at VDL< vehicle speed <VDH and DVL (vehicle speed)< deceleration <DVH (vehicle speed)

-Pcref(vehicle speed, acceleration) = Ref. Level of Index (speed, acceleration) * Fpc (=1.5, 2.0: warning, alarm) at VPL< vehicle speed <VPH and AVL (vehicle speed)< acceleration <AVH (vehicle speed)

3) quantitative refueling

Qref(initial fuel level, GPS) = Qpeak(initial fuel level, GPS) * Fq(=1.05, 1.10: warning, alarm) in refueling amount(initial fuel level, GPS) at QTL< initial fuel level <QTH and GPS

4) Sudden rash

Aref(vehicle speed, accelerator pedal angle, engine speed) = Apeak(vehicle speed, accelerator pedal angle, engine speed) * Fa(=1.05, 1.10: warning, alarm) at RPMFL< engine speed <RPMFH, VAL(engine rotation Number)< Speed <VAH(engine revolution speed), and ATL(engine revolution speed, vehicle speed)< Acceleration pedal angle <ATH(engine revolution speed, vehicle speed)

5) Drive shaft

Dsref (vehicle speed, steering angle) = Ref. Level of Index (vehicle speed, steering angle) * Fds (=1.5, 2.0: warning, warning) in Index of BPF knuckle vibration (vehicle speed, steering angle) at VNL< vehicle speed <VNH, and STL(vehicle speed)< steering angle <STH (Vehicle speed)

6) Wheel bearing

Wbref(vehicle speed, accelerator pedal angle) = Ref. Level of Index (vehicle, accelerator pedal angle) * Fwb (=1.5, 2.0: warning, alarm) in Index of BPF Knuckle vibration (vehicle, accelerator pedal angle) at VNL< vehicle speed <VNH, and ATL(vehicle speed)< acceleration pedal Angle <ATH (vehicle speed)

7) Wheel unbalance

Wuref (vehicle speed, accelerator pedal angle) = Ref. Level of Index (vehicle speed, accelerator pedal angle) * Fwu (=1.5, 2.0: warning, alarm) in Index of LPF knuckle vibration (vehicle speed, accelerator pedal angle) at VNL< vehicle speed <VNH, and ATL(vehicle speed)< acceleration pedal Angle <ATH (vehicle speed)

8) Brake judder

Jdref (vehicle speed, deceleration) = Ref. Level of Index (vehicle speed, accelerator pedal angle) * Fjd (=1.5, 2.0: warning, alarm) in Index of LPF knuckle vibration (vehicle speed, deceleration) at VNL< vehicle speed <VNH, and DTL(vehicle speed)< deceleration < DTH (vehicle speed)

9) Damper

Dpref(steering angle, vehicle speed, deceleration) = Ref. Level of Index (steering angle, vehicle speed, deceleration) * Fdp (=1.2, 1.5: warning, alarm) in Index of LPF damping vibration [body vibration-knuckle vibration] (steering angle, vehicle speed, deceleration) at STRL< steering Angle <STRH, VLL (steering angle) <vehicle speed <VLH (steering angle), and ADL (steering angle, vehicle speed) <deceleration <ADH (steering angle, vehicle speed)

10) Timing belt

Tbref(engine speed, vehicle speed, accelerator pedal angle) = Ref. Level of Index (engine revolution, vehicle speed, accelerator pedal angle) * Ftb (=1.2, 1.5: warning, alarm) in Index of BPF engine vibration (engine revolution, vehicle speed, accelerator pedal angle) at RPMNL< engine revolution < RPMNH, VNL(engine revolution speed)< vehicle speed <VNH(engine revolution speed), and ATL(engine revolution speed, vehicle speed)< accelerator pedal angle <ATH(engine revolution speed, vehicle speed)

11) Wheel alignment

Waref = Ref. Level of Index (vehicle speed) * Fwa (=1.2, 1.5: warning, warning) in Index of LPF wheel lateral vibration (vehicle speed) at VNL< vehicle speed <VNH

In one embodiment, when the abnormal safety part detection unit 250 is associated with a corresponding coordinate axis and an index value outside the first safety criterion is distributed for a certain number of consecutive sections, a safety part associated with a diagnostic item corresponding to the corresponding coordinate axis Can be determined as an abnormal safety part. The specific number n (n is a natural number) may be preset in the vehicle safety component diagnostic apparatus 130 or may be automatically set.

The diagnostic algorithm for each diagnostic item can be defined as follows.

1) Engine overheat

Index of engine temperature (engine revolution, vehicle speed, accelerator pedal angle, outside temperature)> Teref (engine revolution, vehicle speed, accelerator pedal angle, outside temperature) & Repeat(n) at RPMT0< engine revolution <RPMT1, VT0( Engine speed)< Vehicle speed <VT1(engine speed), and AT0(engine speed, vehicle speed)< Acceleration pedal angle <AT1(engine speed, vehicle speed) & CLASS(external temperature)

2) Ball joint overgap

-Index of dive_joint relative displacement (vehicle, deceleration)> Dvref (vehicle, deceleration) & Repeat(n) at VT0< vehicle speed <VT1 and DVT0 (vehicle speed)< deceleration <DVT1 (vehicle speed)

-Index of pitch_joint relative displacement (vehicle, acceleration)> Pcref (vehicle, acceleration) & Repeat(n) at VT0< vehicle speed <VT1 and AVT0 (vehicle speed)< acceleration <AVT1 (vehicle speed)

3) quantitative refueling

Difference in fuel flow [Fuel flow-instrument flow] (first fuel amount, GPS) <Qref (first fuel amount, GPS) at QT0< first fuel amount <QT1 and GPS

4) Sudden rash

Acceleration = differential [vehicle speed] (vehicle speed, accelerator pedal angle, engine speed)> limit acceleration a _c (vehicle speed, accelerator pedal angle, engine speed) at RPMF0< engine speed <RPMF1, VT0 (engine speed)< speed <VT1(engine revolution speed), and AT0(engine revolution speed, vehicle speed)< Acceleration pedal angle <AT1(engine revolution speed, vehicle speed)

5) Drive shaft

Index of BPF Knuckle vibration (vehicle speed, steering angle)> Dsref (vehicle speed, steering angle) & Repeat(n) at VNL< vehicle speed <VNH, and STL(vehicle speed)< steering angle <STH (vehicle speed)

6) Wheel bearing

Index of BPF Knuckle vibration (vehicle, accelerator pedal angle)> Wbref (vehicle, accelerator pedal angle) & Repeat(n) at VNL< vehicle speed <VNH, and ATL (vehicle speed)< accelerator pedal angle <ATH (vehicle speed)

7) Wheel unbalance

Index of LPF knuckle vibration (vehicle speed, accelerator pedal angle)> Wuref (vehicle speed, accelerator pedal angle) & Repeat(n) at VNL< vehicle speed <VNH, and ATL (vehicle speed)< acceleration pedal angle <ATH (vehicle speed)

8) Brake judder

Index of LPF knuckle vibration (vehicle, deceleration)> Jdref (vehicle, deceleration) & Repeat(n) at VNL< vehicle speed <VNH, and ATL (vehicle speed)< deceleration <ATH (vehicle speed)

9) Damper

Index of LPF damping vibration=[body vibration-knuckle vibration] (steering angle, vehicle speed, deceleration)> Dpref (steering angle, vehicle speed, deceleration) & Repeat(n) at STRL< steering angle <STRH, VLL (steering angle )< Vehicle speed <VLH (steering angle), and ADL (steering angle, vehicle speed) <Deceleration <ADH (steering angle, vehicle speed)

10) Timing belt

Index of BPF Engine vibration (engine revolution, vehicle speed, accelerator pedal angle)> Tbref (engine revolution, vehicle speed, accelerator pedal angle) & Repeat(n) at RPMNL< engine revolution <RPMNH, VNL(engine revolution)< Vehicle speed <VNH(engine revolution speed), and ATL(engine revolution speed, vehicle speed)< accelerator pedal angle <ATH(engine revolution speed, vehicle speed)

11) Wheel alignment

Index of LPF wheel lateral vibration (vehicle speed)> Waref (vehicle speed) & Repeat (n) at VNL< vehicle speed <VNH

The precision diagnosis execution unit 270 may perform precision diagnosis on abnormal safety parts. More specifically, in the case of engine overheating, ball joint overgap, wheel alignment, sudden oscillation, and quantitative refueling, among the diagnostic items, the precise diagnosis execution unit 270 directly compares the safety standards with safety parts associated with the diagnosis item. Can be determined to be defective. In addition, the precision diagnosis performing unit 270, for the drive shaft, wheel bearing, wheel unbalance, brake judder, damper, timing belt and wheel alignment among diagnostic items, for abnormal safety parts determined through comparison with the first safety standard Additional diagnostics can be performed.

In one embodiment, the precision diagnosis performing unit 270 is based on the sensed value collected during a specific section for each of the sensors associated with the abnormal safety component, during the analysis of the envelope and fast Fourier transform (FFT) The precision diagnosis index can be calculated through any one. The vehicle safety component diagnostic apparatus 130 may set in advance whether to use the envelope analysis or the fast Fourier transform according to the type of the diagnostic item. Envelope analysis or fast Fourier transform is well known to those skilled in the art, so a detailed description thereof is omitted.

For example, when the diagnostic item associated with the abnormal safety component is the drive shaft, the precision diagnosis execution unit 270 may calculate the envelope spectrum through the envelope analysis of sensing values of diagnostic parameters related to knuckle vibration, which is a diagnostic item of the drive shaft. have. The precision diagnosis execution unit 270 may perform precision diagnosis by using the envelope spectrum as a precision diagnosis index for the'drive shaft'.

In one embodiment, the precision diagnosis performing unit 270 may sample and use sensing values collected during a specific section to calculate a precision diagnosis index. In addition, the precision diagnosis performing unit 270 may perform sampling at a cycle shorter than a period in which the vehicle status summarizing unit 210 samples the sensing values for summarizing the vehicle status.

In one embodiment, the precision diagnosis performing unit 270 determines the second safety standard based on the precision diagnosis index for a plurality of specific sections, and compares the second safety standard and the precision diagnosis index to the defect of the abnormal safety component. Can diagnose. More specifically, the precision diagnosis performing unit 270 may determine that the safety component is defective when a precision diagnosis index that exceeds the second safety standard exists.

The second safety standard for each diagnostic item can be calculated as follows.

1) Drive shaft

Sdvref-dsdfi (vehicle speed, steering angle) = Ref. Level of Index (vehicle, steering angle) * Fds (=1.5, 2.0: warning, alarm) in Index of BPF Knuckle Vibration Enveloping Spectrum (vehicle, steering angle) on drive shaft defect frequency(dsdfi), at VNL< vehicle speed <VNH, and STL (vehicle speed)< Steering angle <STH (vehicle speed)

2) Wheel bearing

Swbref-wbdfi(vehicle speed, accelerator pedal angle) = Ref. Level of Index (vehicle, accelerator pedal angle) * Fwb (=1.5, 2.0: warning, alarm) in Index of BPF Knuckle Vibration Enveloping Spectrum on wheel bearing defect frequency(wdfi) at VNL< vehicle speed < VNH, and ATL (vehicle speed) <Accelerator pedal angle <ATH (vehicle speed)

3) Wheel unbalance

Swuref-wudfi (vehicle speed, accelerator pedal angle) = Ref. Level of Index (vehicle, accelerator pedal angle) * Fwu (=1.5, 2.0: warning, alarm) in Index of LPF knuckle vibration FFT Spectrum (vehicle, accelerator pedal angle) on wheel unbalance defect frequency(wudfi) at VNL< vehicle speed < VNH, and ATL (vehicle speed) <Accelerator pedal angle <ATH (vehicle speed)

4) Brake judder

Sjdref-jddfi(vehicle speed, deceleration) = Ref. Level of Index (vehicle, deceleration) * Fjd (=1.5, 2.0: warning, alarm) in Index of LPF Knuckle Vibration FFT Spectrum (vehicle, deceleration) on Break Judge defect frequency(jddfi) at VNL< vehicle speed <VNH, and DTL (vehicle speed) <deceleration <DTH (vehicle speed)

5) Damper

Sdpref-dpdfi (steering angle, vehicle speed, deceleration) = Ref. Level of Index (steering angle, vehicle speed, deceleration) * Fdp (=1.2, 1.5: warning, alarm) in Index of LPF damping vibration [body vibration-knuckle vibration] FFT Spectrum (steering angle, vehicle speed, deceleration) on damper defect frequency(dpdfi) at STRL< steering angle <STRH, VLL(steering angle)< vehicle speed <VLH(steering angle), and ADL(steering angle, vehicle speed)< deceleration <ADH(steering angle, vehicle speed)

6) Timing belt

Stbref-tbdfi(engine speed, vehicle speed, accelerator pedal angle) = Ref. Level of Index (engine revolution, vehicle speed, accelerator pedal angle) * Ftb (=1.2, 1.5: warning, alarm) in Index of BPF engine vibration FFT Spectrum (engine revolution, vehicle speed, accelerator pedal angle) on timing belt defect frequency (tbdfi) at RPMNL< Engine speed <RPMNH, VNL(engine speed)< vehicle speed <VNH(engine speed), and ATL(engine speed, vehicle speed)< Acceleration pedal angle <ATH(engine speed, vehicle speed)

7) Wheel alignment

Swaref-wadfi (vehicle speed) = Ref. Level of Index (vehicle speed) * Fwa (=1.2, 1.5: warning, alarm) in Index of LPF wheel lateral vibration FFT Spectrum (vehicle speed) on wheel alignment defect frequency (wadfi) at VNL< vehicle speed <VNH

In one embodiment, the precision diagnosis execution unit 270 may determine that the safety component is defective when the precision diagnosis index repeatedly exceeds the second safety criterion for a certain number of consecutive sections. The specific number n (n is a natural number) may be preset in the vehicle safety component diagnostic apparatus 130 or may be automatically set.

The diagnostic algorithm for each diagnostic item can be defined as follows.

1) Drive shaft

Index of BPF Knuckle Vibration Enveloping Spectrum (vehicle speed, steering angle)> Sdsref-dsdfi (vehicle speed, steering angle) & Repeat(n) on drive shaft defect frequency(dsdfi) at VNL< vehicle speed <VNH, and STL(vehicle speed)< steering angle <STH (vehicle speed)

2) Wheel bearing

Index of BPF Knuckle Vibration Enveloping Spectrum (vehicle speed, accelerator pedal angle)> Swbref-wbdfi (vehicle speed, accelerator pedal angle) & Repeat(n) on wheel bearing defect frequency (wbdfi) at VNL< vehicle speed <VNH, and ATL (vehicle speed) <Accelerator pedal angle <ATH (vehicle speed)

3) Wheel unbalance

Index of LPF Knuckle Vibration FFT Spectrum (vehicle speed, accelerator pedal angle)> Swuref-wudfi (vehicle speed, accelerator pedal angle) & Repeat(n) on wheel unbalance defect frequency(wudfi) at VNL< vehicle speed <VNH, and ATL (vehicle speed) <Acceleration pedal angle <ATH (vehicle speed)

4) Brake judder

Index of LPF Knuckle Vibration FFT Spectrum (Vehicle Speed, Deceleration)> Sjdref-jddfi (Vehicle Speed, Deceleration) & Repeat(n) on Brake Judder defect frequency(jddfi) at VNL< Vehicle Speed <VNH, and ATL (Vehicle Speed) Degree <ATH (vehicle speed)

5) Damper

Index of LPF damping vibration Damping coefficient of FFT Spectrum (steering angle, vehicle speed, deceleration)> Sdpref-dpdfi (steering angle, vehicle speed, deceleration) & Repeat(n) on damper defect frequency(dpdfi) at STRL< steering angle < STRH, VLL (steering angle) <vehicle speed <VLH (steering angle), and ADL (steering angle, vehicle speed) <deceleration <ADH (steering angle, vehicle speed)

6) Timing belt

Index of BPF engine vibration FFT Spectrum (engine revolution, vehicle speed, accelerator pedal angle)> Stbref-tbdfi (engine revolution, vehicle speed, accelerator pedal angle) & Repeat(n) on timing belt defect frequency (tbdfi) at RPMNL< engine Speed <RPMNH, VNL(engine speed)< vehicle speed <VNH(engine speed), and ATL(engine speed, vehicle speed)< accelerator pedal angle <ATH(engine speed, vehicle speed)

7) Wheel alignment

Index of LPF Wheel Lateral Vibration FFT Spectrum(Vehicle Speed)> Swaref(Vehicle Speed) & Repeat(n) on Wheel Alignment Defect Frequency(wadfi) at VNL< Vehicle Speed <VNH

The control unit 290 controls the overall operation of the vehicle safety component diagnosis apparatus 130, the vehicle status summary unit 210, the vehicle status distribution calculation unit 230, the abnormal safety component detection unit 250 and the precise diagnosis execution unit ( 270) between the control flow or data flow can be managed.

FIG. 3 is a flowchart illustrating a vehicle safety component diagnosis process performed by the vehicle safety component diagnosis apparatus in FIG. 1.

Referring to FIG. 3, the vehicle safety component diagnostic apparatus 130 may summarize the vehicle status based on sensing values collected during a specific section from a plurality of sensors through the vehicle status summary unit 210 (step S310). . The vehicle safety component diagnostic apparatus 130 may calculate a distribution regarding the summary of the vehicle status during a plurality of specific sections through the vehicle status distribution calculation unit 230 (step S330).

The vehicle safety component diagnostic apparatus 130 may detect an abnormal safety component by determining an abnormal situation related to a specific sensing value through a distribution related to a summary of the vehicle status through the abnormal safety component detection unit 250 (step S350). The vehicle safety component diagnosis apparatus 130 may perform a precise diagnosis on the abnormal safety component through the precision diagnosis execution unit 270 (step S370).

4 to 7 are exemplary views illustrating a process of determining an index for a diagnostic item by using an index for a diagnostic parameter in the vehicle safety component diagnostic device of FIG. 1.

4 to 7, it can be confirmed that the vehicle safety component diagnostic apparatus 130 calculates the index for the diagnostic item a included in the diagnostic item A using diagnostic parameters. More specifically, the diagnostic item a includes speed, power, line and temperature as diagnostic parameters, speed and power may be configured in 10 steps (or levels), respectively, and line and temperature may be configured in 5 steps.

For example, in the case of speed = 2, power = 5, line = 3, temperature = 4 for the diagnostic item a, the section from speed 2 to 10 in FIG. 4 can be divided into power 10, and FIG. 5 In section 5, the section from step 5 to step 10 can be divided into 5 steps, and the section from step 3 to step 5 in step 6 can be divided into 5 steps. In FIG. 7, the vehicle safety component diagnostic apparatus 130 may finally determine the 9th stage of the diagnostic item a including the section corresponding to the 4th temperature as the index of a.

FIG. 8 is an exemplary diagram illustrating a process of calculating an index distribution for a diagnostic item in the vehicle safety component diagnostic device of FIG. 1.

Referring to FIG. 8, the vehicle safety component diagnostic apparatus 130 may graphically display an exponential distribution for the diagnostic item a. The vehicle safety component diagnostic apparatus 130 may generate a two-dimensional graph by setting a characteristic function corresponding to the diagnostic item a on the y-axis and a DB class corresponding to the index for the diagnostic item a on the x-axis.

In FIG. 8, the diagnosis item a includes speed, power, line and temperature as diagnostic parameters, speed and power may be configured in 10 steps (or levels), and line and temperature may be configured in 5 steps. The vehicle safety component diagnostic apparatus 130 may calculate the total level (or level) of the DB class corresponding to the x-axis through a product of the number of steps of each diagnostic parameter. For example, the total level of DB Class for the diagnostic item a may be expressed as speed * power * line * temperature = 10 * 10 * 5 * 5 = 2500.

The vehicle safety parts diagnostic apparatus 130 may determine the index for the diagnosis item a using the index for the diagnostic parameter, and based on the calculated index, the corresponding characteristic function at each level follows a Gaussian distribution. Under the assumption, the average line, the σ line (where σ is the standard deviation), and the 3σ line for the characteristic function at all levels can be determined. The vehicle safety parts diagnostic device 130 determines the index for the diagnostic parameter using sensor values obtained from a plurality of sensors for each diagnostic item, and uses the determined diagnostic parameter to determine the DB class for the diagnostic item as in FIG. 8. Classification information may be generated and stored in the database 150. The vehicle safety component diagnostic apparatus 130 may determine an abnormal condition for the corresponding diagnostic item based on the DB Class classification information for each diagnostic item generated through the above process, and may perform a diagnosis for the vehicle safety component.

Although described above with reference to preferred embodiments of the present invention, those skilled in the art variously modify and change the present invention without departing from the spirit and scope of the present invention as set forth in the claims below. You can understand that you can.

100: vehicle safety parts diagnostic system
110: vehicle 130: vehicle safety parts diagnostic device
150: database 170: user terminal
210: vehicle status summary unit 230: vehicle status distribution calculation unit
250: abnormal safety part detection unit 270: precision diagnosis execution unit
290: control

Claims (8)

A vehicle status summarizing unit summarizing the vehicle status based on sensing values collected during a specific section from a plurality of sensors;
A vehicle state distribution calculator that calculates a distribution related to a summary of the vehicle state during a plurality of specific sections;
An abnormal safety component detection unit that detects an abnormal safety component by determining an abnormal situation with respect to a specific sensing value through distribution related to the summary of the vehicle condition; And
It includes a precision diagnosis performing unit for performing a precise diagnosis on the abnormal safety parts,
The vehicle status summarizing unit summarizes the vehicle status by calculating an index value for each of the plurality of diagnostic items constituting the vehicle status using sensing values collected during the specific section, and each of the plurality of diagnostic items It is defined as a diagnostic item and a plurality of diagnostic parameters constituting the diagnostic item, and the index value includes the measured sensing value when the measurement range of the sensing value collected from each sensor is divided into a certain level. It is calculated based on index information defined by and corresponds to a value representing the specific section, and is determined as an index of the diagnostic item determined based on the index of the plurality of diagnostic parameters,
The precision diagnosis performing unit may perform any one of an envelope analysis and a fast Fourier transform (FFT) based on the sensing values collected during the plurality of specific sections for each of the sensors associated with the abnormal safety component. calculating a precise diagnosis index (index) through, and is said to determine the second security standard based on the precision diagnostic index diagnose defects in the above safety parts via the second safety standards, and a comparison between the precision diagnostic index, A vehicle safety component diagnostic device characterized in that it determines that the abnormal safety component is defective when the precision diagnostic index repeatedly exceeds a second safety criterion for a certain number of consecutive periods.
delete The method of claim 1, wherein the vehicle state distribution calculation unit
Vehicle safety component diagnosis characterized by generating a multidimensional coordinate system composed of coordinate axes corresponding to each of the plurality of diagnostic items and calculating a distribution of a plurality of index values during the plurality of specific sections in the multidimensional coordinate system. Device.
The method of claim 3, wherein the abnormal safety part detection unit
In the multidimensional coordinate system, a first safety criterion for each coordinate axis is determined based on a distribution of the plurality of index values, and if an index value outside the first safety criterion exists, associated with a diagnostic item corresponding to the corresponding coordinate axis A vehicle safety component diagnostic device, characterized in that the safety component is determined as the abnormal safety component.
The method of claim 4, wherein the abnormal safety part detection unit
When the index value associated with the corresponding coordinate axis and out of the first safety standard is distributed for a certain number of consecutive sections, the safety component associated with the diagnostic item corresponding to the corresponding coordinate axis is determined as an abnormal safety component. Vehicle safety parts diagnostic device.
delete delete delete

Images