JPH0611515A - Equipment for detecting hydroplaning phenomenon - Google Patents

Abstract

PURPOSE:To lessen a storage capacity for patterns used for reference and also to detect accurately a hydroplaning phenomenon under various traveling conditions, in equipment for detecting the hydroplaning phenomenon on the basis of change patterns of the speed of rotation of a wheel. CONSTITUTION:Reference pattern form changing means 33L and 33R which execute form changing computation for typical change patterns registered in a reference pattern storage means 31, on the basis of the traveling conditions of a vehicle, are provided, and reference patterns of which the forms are changed are compared with actual change patterns extracted by change pattern extracting means 35L and 35R, by pattern comparing means 36L and 36R. It is also allowable that a determined threshold value of the result of comparison of the patterns is changed in accordance with the traveling conditions, without changing the forms of the reference patterns.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a device for detecting a hydroplaning phenomenon by monitoring the rotation speed of wheels. In particular, by changing the reference pattern and the judgment conditions for judging that the hydroplaning phenomenon has occurred according to the running conditions of the vehicle, the hydroplaning can be accurately detected for the same phenomenon and a state close to the same phenomenon. Regarding a detection device.

[0002]

2. Description of the Related Art The hydroplaning phenomenon is a vehicle at a high speed (generally, 80 km / h or more) on a water film such as a water pool.
This is a phenomenon in which the wheel temporarily floats up from the road surface when passing by and the friction coefficient between the wheel and the road surface decreases. This hydroplaning phenomenon occurs because the water film enters the wedge-shaped space between the road surface and the wheels at a high speed, and the dynamic pressure pushes the vehicle up from the road surface.

FIG. 9 is a graph showing the change over time of the driven wheel speed when the hydroplaning phenomenon occurs. The vertical axis represents the vehicle speed corresponding to the rotation speed of the driven wheel per unit time, and the horizontal axis represents time. The hydroplaning phenomenon occurs within a very short time of less than 1 second, during which the wheel rotation speed drops sharply and then recovers momentarily. That is, when a water film enters a wedge shape between the wheel and the road surface and the wheel lifts from the road surface due to the buoyancy received from the water film that has entered, the wheel rapidly changes its rotation speed due to the resistance of the water film that has entered between the wheel surface and the road surface. When the vehicle is dropped (generally several kilometers per hour or more) and the contact with the road surface is restored, the original speed is restored, so that the speed pattern has a downwardly convex sawtooth shape.

A conventionally known method for detecting hydroplaning is, for example, as disclosed in Japanese Patent Laid-Open No. 63-265172, paying attention to a sharp saw-tooth reduction in wheel rotation speed, and rotating the wheel. The occurrence of hydroplaning is detected based on the fact that the magnitude of the deceleration obtained by differentiating the speed exceeds a preset reference value.

However, the drastic decrease in the wheel rotation speed of the vehicle occurs not only when the hydroplaning phenomenon occurs, but also when traveling on a bad road or when the wheel gets over a projection or a step on the road surface (FIG. 10). (B) ~
(See (d)). Therefore, it is difficult to reliably identify the deceleration of the wheel due to hydroplaning and the deceleration of the wheel due to other factors by using the conventional differential value of the wheel rotation speed, and the detection accuracy is limited. was there.

Therefore, the applicant of the present invention has proposed in Japanese Patent Application No. 3-267579 a device for accurately detecting the hydroplaning phenomenon based on the change pattern of the wheel rotation speed. This device registers in advance a typical change pattern of the wheel rotation speed when a hydroplaning phenomenon occurs, compares this typical change pattern with the change pattern of the actual wheel rotation speed, and determines the degree of coincidence. The occurrence of the hydroplaning phenomenon is detected according to the above.

[0007]

However, the variation pattern of the wheel rotation speed when the hydroplaning phenomenon occurs depends on the traveling conditions such as the vehicle speed, the straight traveling state, and the curve traveling state. For this reason, change patterns under a plurality of types of running conditions are registered in advance in a storage device such as a ROM, a change pattern suitable for the current running conditions of the vehicle is selected, and the selected change pattern and the actual change pattern are selected. It is desirable to detect the occurrence of the hydroplaning phenomenon by comparing the above. However, with such a configuration, the storage capacity of the storage means for storing the reference change pattern becomes large.

In the configuration in which only one typical change pattern is registered in advance, the storage capacity of the storage means may be small. However, in order to reduce erroneous detection and accurately detect the hydroplaning phenomenon, it is necessary to set the degree of coincidence of the patterns to be high. However, when the running conditions are different, the change pattern of the wheel rotation speed when the hydroplaning phenomenon occurs is different. Therefore, for example, when a change pattern of the wheel rotation speed when a hydroplaning phenomenon occurs during straight traveling at 80 km / h is registered as a representative pattern, that pattern and the hydroplaning phenomenon during curve traveling at 100 km / h, for example, are registered. When the detection threshold is set high, the hydroplane phenomenon may not be detected because the degree of coincidence is different when compared with the change pattern when the occurrence occurs. On the contrary, if the detection threshold value is set to be low, there is a possibility that false detection may increase.

The present invention has been made to solve such a problem, and in an apparatus for detecting a hydroplaning phenomenon based on a change pattern of wheel rotation speed,
It is possible to detect the hydroplaning phenomenon more accurately by appropriately changing the reference change pattern according to the running condition of the vehicle or by appropriately changing the threshold value for determination according to the running condition of the vehicle. It is an object of the present invention to provide a detection device according to the above.

[0010]

In order to solve the above problems, a hydroplaning phenomenon detecting device according to claim 1 is provided.
A typical change pattern of the wheel rotation speed when the hydroplaning phenomenon occurs is registered in the reference pattern storage means in advance, and the degree of approximation between the representative change pattern and the change pattern of the actual wheel rotation speed is compared. The determination means outputs a detection output indicating that the hydroplaning phenomenon is occurring or the hydroplaning phenomenon is likely to occur due to the degree of approximation between patterns exceeding a preset threshold value. In the hydroplaning phenomenon detection device configured to generate, a pattern change comparison is performed by performing a deformation calculation on the representative change pattern registered in the reference pattern storage means based on the running state of the vehicle. It is characterized in that it comprises a reference pattern deforming means for supplying the means to the means.

In the hydroplaning phenomenon detecting apparatus according to the second aspect, a typical change pattern of the wheel rotation speed at the time of occurrence of the hydroplaning phenomenon is registered in the reference pattern storage means in advance, and the representative change pattern is stored. The pattern comparing means compares the degree of approximation with the actual wheel rotation speed change pattern, and the determining means causes the hydroplaning phenomenon when the degree of approximation between the patterns exceeds a preset threshold value. Alternatively, in a hydroplaning phenomenon detection device configured to generate a detection output indicating that a hydroplaning phenomenon may occur, a determination threshold for changing the determination threshold value of the determination means according to the running state of the vehicle. It is characterized in that a value setting means is provided.

[0012]

In the hydroplaning phenomenon detecting device according to the first aspect, a typical change pattern of the wheel rotation speed when the hydroplaning phenomenon occurs is registered in advance,
By deforming this typical change pattern according to the running condition, generating a change pattern corresponding to each running condition, and comparing the generated change pattern with the actual change pattern, the occurrence of the hydroplaning phenomenon is confirmed. To detect. Therefore, accurate detection can be performed according to the traveling conditions of the vehicle.

Further, only one type of typical change characteristic of the wheel rotation speed (for example, a characteristic when a hydroplaning phenomenon occurs at a straight speed of 80 km / hour) is registered, and when the vehicle speed is different or when the vehicle is traveling on a curve. By registering information on the difference between the change characteristic when the planing phenomenon occurs and the registered characteristic in the pattern deformation condition setting means, the change pattern when the hydroplaning phenomenon occurs under various running conditions is generated by calculation. Therefore, it is not necessary to store a plurality of types of change characteristics corresponding to various running conditions, and the storage capacity of the reference pattern storage means can be reduced.

In the hydroplaning phenomenon detecting device according to the second aspect of the present invention, the judgment threshold value of the judging means is changed according to the running state of the vehicle. In terms of conditions, it is possible to detect the hydroplaning phenomenon according to various running conditions by changing the determination threshold value.

[0015]

Embodiments of the present invention will be described below with reference to the accompanying drawings. FIG. 1 is a schematic structural diagram of a vehicle equipped with a hydroplaning phenomenon detection device according to the present invention.

The vehicle has left and right front wheels Wf, W as driven wheels.
f and left and right rear wheels Wr, Wr as driving wheels driven by the engine E. The driven wheels rotational speed detecting means 1 for detecting the rotational speeds of the left and right front wheels Wf, Wf.
L and 1R are provided respectively. Left and right rear wheels Wr, Wr
Is a drive wheel rotational speed detecting means 2 for detecting the rotational speed.
L and 2R are provided respectively. Further, the brake pedal 3 is provided with a brake switch 4 which is turned on during non-braking. The wiper 5 is provided with a wiper switch 6 which is turned on when the wiper 5 is used.

The respective detection outputs of the driven wheel rotation speed detecting means 1L, 1R and the driving wheel rotation speed detecting means 2L, 2R are supplied to the hydroplaning phenomenon detecting section U. Signals indicating the operating states of the brake switch 4 and the wiper switch 6 are also supplied to the hydroplaning phenomenon detection unit U.
The hydroplaning phenomenon detection unit U is provided with a buzzer 1 for audibly indicating that the hydroplaning phenomenon occurs or may occur based on the detection output.
0 is connected.

FIG. 2 shows a hydroplaning phenomenon detection unit U.
3 is a hardware configuration diagram of FIG. The hydroplaning phenomenon detection unit U includes a CPU 11 capable of high-speed calculation, a ROM 12 in which a calculation program and various data are stored in advance, a RAM 13 in which detection values and calculation results are temporarily stored, driven wheel sensors 1L and 1R, drive wheels. Input circuit 1 to which speed sensors 2L, 2R, brake switch 4, wiper switch 6 are connected
4 and an output circuit 15 to which the buzzer 10 is connected.

FIG. 3 is a block diagram of a hydroplaning phenomenon detecting apparatus according to the first aspect. The hydroplaning phenomenon detecting device 21 according to claim 1 is a warning means 2 including rotational speed detecting means 1L and 1R for left and right driven wheels, a hydroplaning phenomenon detecting section 22, and a buzzer.
3 and 3.

The hydroplaning phenomenon detector 22 is
Reference pattern storage means 31, pattern deformation condition setting means 32, reference pattern deformation means 33L and 33R, comparison reference pattern temporary storage means 34L and 34R, change pattern extraction means 35L and 35R, and pattern comparison means 3
6L, 36R, determination means 37L, 37R, determination threshold value setting means 38, and alarm generation control means 39.

The reference pattern storage means 31 stores a change characteristic of the rotational speed of the wheel when the hydroplaning phenomenon occurs under a preset running condition. Specifically, the change characteristics of the rotation speed of the driven wheels when the hydroplaning phenomenon occurs in a straight traveling state at a speed of 80 km / hour are stored in a predetermined order as digital information at preset time intervals. ing.

The reference pattern transforming means 33L and 33R are provided with the reference characteristic information 3 supplied from the reference pattern storing means 31.
1a is subjected to arithmetic processing based on the pattern deformation instruction information 32a, 32b output from the pattern deformation condition setting means 32, and the arithmetic processing results 33a, 33b are written in the comparison reference pattern temporary storage means 34L, 34R. is doing.

This comparison reference pattern temporary storage means 34
L and 34R are composed of a RAM or a parallel multi-bit input type multi-stage shift register.

The pattern deformation condition setting means 32, on the basis of various information relating to running conditions such as vehicle speed information, lateral acceleration information, yaw rate information, wiper information, etc., pattern deformation command information 32a for the left driven wheel and the right driven wheel. Three
2b are independently generated and output. Vehicle speed information
The estimated vehicle speed information is obtained by averaging the detection outputs of the driving wheel rotation speed detection means 2L, 2R.

When the vehicle speed information corresponds to, for example, 100 km / h and is different from the vehicle speed condition of the reference pattern stored in the reference pattern storage means 31, the pattern deformation condition setting means 32 sets a reference according to the degree of difference in vehicle speed. The pattern transformation command information 32a, 32b for enlarging or reducing the amplitude of the pattern is output. The magnification data for the vehicle speed is prepared in advance in the form of a conversion table or the like. Further, the pattern deformation condition setting means 32 is configured to change the comparison reference pattern for the left and right driven wheels based on the lateral acceleration information or the yaw rate information.

Further, the pattern deformation condition setting means 3
2 determines whether or not the wiper is in the operating state based on the wiper information. When the wiper is in the operating state, the rainfall intensity is estimated based on the wiper operation cycle information, and the rain of the reference pattern is determined. The modification command information including the accompanying modification degree is generated and independently output for the left side and the right side.

When data of, for example, 1024 points is stored in the reference pattern storage means 31 at intervals of 1 millisecond, for example, the pattern deformation condition setting means 32 multiplies the reference pattern data for each point or for each predetermined section. Correction data for correcting magnification or addition / subtraction is provided for each traveling condition of the vehicle.

Then, each reference pattern deforming means 33L,
The reference numeral 33R is configured to write data obtained by performing a correction calculation on the reference pattern data in accordance with the correction data (32a, 32b) supplied from the pattern deformation condition setting means 32 into the comparison reference pattern temporary storage means 34L, 34R. There is.

Each change pattern extraction means 35L, 35R
Is sampling the rotational speed detection data of the left and right driven wheels supplied from the respective rotational speed detection means 1L and 1R at preset time intervals (for example, 1 millisecond), and using a shift register or a first-in first-out circuit. Temporarily store it in the mold storage means. The temporary storage means is configured to store at least as many sampling points as the reference pattern. Then, when the rotation speed is continuously reduced over a predetermined number of sampling times set in advance and the width of the decrease is larger than a preset value, a series of change pattern data is compared with the pattern comparison means 36L. , 36R for pattern comparison means 3
6L and 36R are configured to start the pattern comparison with the comparison reference pattern.

The pattern comparison means 36L, 36R compares the data supplied from the change pattern extraction means 35L, 35R with the reference pattern according to the current running condition stored in the comparison reference pattern temporary storage means 34L, 34R. The data indicating the degree of coincidence is output to the determination means 37L, 37R.

The judging means 37L and 37R compare the data concerning the degree of coincidence with the judgment threshold data 38a supplied from the judging threshold setting means 38, and the data concerning the degree of coincidence is judged threshold data. When it exceeds 38a, the pattern matching detection signals 37a and 37b are output.

The alarm generation control means 39 is traveling at a vehicle speed of, for example, 80 km / hour or more based on the vehicle speed information,
In addition, in the state where it is confirmed that the brake operation is not performed based on the brake information, the pattern matching detection signal 3
When 7a and 37b are supplied, it is determined that the hydroplaning phenomenon may occur or may occur, and the alarm output 39a is generated.

With the above construction, the hydroplaning phenomenon detection device 21 according to the first aspect of the invention operates as follows. The pattern deformation condition setting means 32 outputs the deformation conditions 32a and 32b necessary to generate a rotational speed change pattern of a wheel when a hydroplaning phenomenon occurs under the operating condition of the vehicle based on the current operating condition of the vehicle. . The reference pattern transforming means 33L and 33R perform transforming operations on the representative patterns stored in the reference pattern storing means 31 based on the transform commands 32a and 32b,
The results are compared with the comparison reference pattern temporary storage means 34L, 34.
Write to R.

The change patterns extracted by the change pattern extraction means 35L, 35R and the comparison reference patterns are pattern compared by the pattern comparison means 36L, 36R, and the data 36a, 36b relating to the degree of coincidence are supplied to the determination means 37L, 37R. . The judging means 37L, 37R output pattern matching detection signals 37a, 37b if the matching degree exceeds a preset threshold value 39a. When the alarm generation control means 39 is traveling at a speed equal to or higher than a predetermined vehicle speed and receives the pattern matching detection signals 37a and 37b in a state where the brake operation is not performed, the hydroplaning phenomenon may occur or may occur. When it is determined that the alarm signal 39a is present, the alarm signal 39a is output, and the alarm means 40 including a buzzer is driven to perform an audible display.

As a result, the driver can know the occurrence or possibility of occurrence of the hydroplaning phenomenon and take necessary driving measures.

Although only one type of reference pattern is provided, a reference pattern corresponding to the current operating state of the vehicle is generated from one type of reference pattern corresponding to the operating state of the vehicle. The hydration planing phenomenon can be accurately detected.

FIG. 4 is a block diagram showing the structure of a hide planing phenomenon detecting device according to the second aspect. A hide planing phenomenon detection device 41 according to a second aspect includes rotational speed detection means 1L and 1R for left and right driven wheels, a hydroplaning phenomenon detection section 42, and an alarm means 40.

The hydroplaning phenomenon detector 42 is
Reference pattern storage means 31 and change pattern extraction means 3
5L and 35R, and pattern comparison means 36L and 36R,
Determination means 37L, 37R, alarm generation control means 39,
The determination threshold setting means 43 is provided.

The judgment threshold setting means 43 is used for the vehicle speed information,
Information 43a, 43b relating to the determination threshold value based on the traveling conditions such as lateral acceleration information, yaw rate information, wiper information, etc. is supplied to each determination means 37L, 37R. The higher the vehicle speed, the more likely the hydroplaning phenomenon will occur. Therefore, the determination threshold value setting means 43 is configured to set the determination threshold value lower as the vehicle speed increases based on the vehicle speed information.

The reference pattern storage means 31 stores the change characteristic of the rotational speed of the driven wheels when a hydroplaning phenomenon occurs during traveling at a speed of 80 km / hour, for example. If the hydroplaning phenomenon occurs during traveling at 100 km / h, the degree of coincidence between the change pattern of the wheel rotation speed and the reference pattern at that time is smaller than that when the phenomenon occurs during traveling at 80 km / h. There are cases. The determination threshold value setting means 43 interlocks with such a change in the running condition and the determination threshold values 43a and 43b.
Is changed, it is possible to accurately detect the occurrence of the same phenomenon.

The judgment threshold value setting means 43 is constructed so that the judgment threshold values for the left and right driven wheels can be independently set according to the lateral acceleration information and the yaw rate information. Change pattern detection means 35L, 35R, pattern comparison means 36L, 36R, determination means 37L, 37
The configuration of R and the alarm generation means 39 is the same as that shown in FIG.

As described above, the hydroplaning phenomenon detecting device 41 according to the second aspect is configured to change the threshold value for determining the occurrence of the hydroplaning phenomenon according to the running condition of the vehicle, so that there is only one reference pattern. However, the occurrence of the hydroplaning phenomenon can be accurately detected under various running conditions.

FIG. 5 is a block diagram showing another example of the configuration of the hydroplaning phenomenon detecting device according to the second aspect. Hydroplaning phenomenon detector 51 shown in FIG.
The driven wheel rotation speed detecting means 1L and 1R, the actual change pattern extracting means 52, the reference pattern storing means 53, the determining means 54, the determining threshold value setting means 55, and the alarm means 40.

The driven wheel speeds detected by the driven wheel rotation speed detecting means 1L, 1R are input to the actual change pattern actual change pattern extracting means 52, and the characteristic portion of the waveform of the speed change is extracted by the waveform extracting means 52a. After that, the normalizing means 52b normalizes. The driven wheel speed detected by the driven wheel rotation speed detecting means 1L and 1R is shown in FIG.
As shown in (d), those by hydroplaning and those by others are included.

The discrimination means 54 has a reference pattern stored in the reference pattern storage means 53 (see FIG. 10E),
That is, a typical change pattern of the driven wheel rotation speed when a slight hydroplaning occurs and the actual change pattern normalized by the normalizing means 52b are input, and the inner product value of the actual change pattern and the reference pattern is input therein. Is calculated. This inner product value serves as a parameter of the degree of coincidence between the actual change pattern and the reference pattern, and the comparison means 54b.
In step 1, the inner product value is compared with the judgment threshold value supplied from the judgment threshold value setting means 55, and when the inner product value exceeds the judgment threshold value, that is, the degree of coincidence due to pattern matching between the actual change pattern and the reference pattern is When the judgment threshold value is exceeded, it is judged that hydroplaning has occurred, and the warning means 40 gives a warning to the driver.

Here, the alarm means 40 corresponds to the buzzer 10. Also, the actual change pattern extraction means 52 and the discrimination means 5
Reference numeral 4 is composed of the CPU 11 and RAM 13 shown in FIG. 2, and the reference pattern storage means 53 is composed of ROM.
The determination threshold value setting means 55 sets the determination threshold value based on the information relating to the traveling condition of the vehicle such as the vehicle speed information, the lateral acceleration information, the yaw rate information, the wiper information, etc., and corresponds to the information relating to the traveling condition. The corresponding judgment threshold value is composed of a ROM or the like registered in advance.

Next, the processing contents of the hydroplaning phenomenon detection device 51 shown in FIG. 5 will be described with reference to the flowchart of FIG. 6 and the operation explanatory diagram of FIG. In step S1, the driven wheel speeds detected by the driven wheel rotation speed detecting means 1L and 1R are read at predetermined time intervals (every tens of milliseconds) (see FIG. 7A). In step S2,
N pieces of read data v1, v2, v3, ..., vn
Are stored in the raw data buffer, and each time new data is read, the data is sequentially shifted by one data.

In step S3, the sampling data accumulated in the raw data buffer is vertically inverted so that its maximum value becomes 0 (see FIG. 7B). Step S4
Then, the maximum value of the vertically inverted raw data is normalized based on the maximum value of the reference pattern (see FIG. 7C).
That is, the maximum value of the raw data after the inversion (the minimum value of the raw data before the inversion) is normalized by the maximum value 1 of the reference pattern (see FIG. 7D), and the obtained actual data V1, V2, V
, ..., Vn are stored in the actual data buffer. The reference pattern used here is preset with reference to the change waveform of the driven wheel rotation speed when slight hydroplaning occurs.

In step S5, the inner product value with the reference data VS1, VS2, VS3, ..., VSn corresponding to the reference pattern is calculated. That is, the reference data and the actual data are regarded as two vectors each having n components, and VS1 × V1 + VS2, which is the inner product value of both vectors.
× V2 + VS3 × V3 + ... + VSn × Vn are calculated.
Generally, the inner product value of two vectors becomes maximum when both vectors are the same, and decreases as the degree of coincidence of both vectors decreases. Therefore, if the inner product value is used as a parameter, if the inner product value is large, it is judged that the actually detected change pattern of the rotational speed of the driven wheel is in good agreement with the change pattern of the rotational speed of the driven wheel during hydroplaning. If the inner product value is small, it can be determined that they do not match.

In step S6, the inner product value obtained in step S5 is compared with the judgment threshold value supplied from the preset judgment threshold value setting means 55, and if the inner product value exceeds the judgment threshold value, the hydro value is calculated. It is determined that the planing has occurred (see FIG. 7E).

In step S7, when hydroplaning is detected, the buzzer 10 is activated and a driver is alerted. As a result, the driver knows that the road surface is in a state where hydroplaning is likely to occur, and can reduce the traveling speed of the vehicle.

The left and right driven wheel rotational speed detecting means 1
The detection outputs of L and 1R are processed separately, and if either one of the inner product values exceeds the determination threshold value, it is determined that hydroplaning has occurred and an alarm is issued.

Next, the pattern matching process based on the integral calculation will be described. The pattern matching process based on the integral calculation is performed by the integral calculation means 54c shown by the dotted line in FIG.

The integral calculating means 54c calculates the convolution integral of the function F (t) representing the actual change pattern and the function G (t) representing the reference pattern. Here, the convolution integral F (t) * G (t) is the equation 1
Is defined as

[0055]

[Equation 1]

As shown in FIG. 8A, the function F (t) representing the actual change pattern corresponds to the normalization of the raw data of the rotational speed of the driven wheel by turning it upside down and represents the reference pattern. The function G (t) corresponds to a vertically-inverted and horizontally-inverted reference pattern, as shown in FIG.

As shown in FIG. 8C, the function F (τ-t) shown in the equation 1 is the function F (t) representing the actual change pattern inverted with respect to the vertical axis, and only τ along the horizontal axis. Corresponds to translation. Therefore, when τ is changed from −∞ to + ∞, the function F (τ−t) moves along the horizontal axis, and in the process of the movement, the function F (τ−t), within the range of tA + tC ≦ τ ≦ tB + tD, The convolution integral F (t) * G in which the area of the shaded area of G (t) is defined by the equation 1
It is proportional to the value of (t).

The area of the overlapped portion gradually increases as the function F (τ-t) moves as shown in FIG. 8 (d), and reaches the maximum value and then decreases again. Then, the maximum value of the area of the overlapping portion becomes larger as the patterns of the function F (τ-t) and the function G (t) match. Therefore, when the value of the convolution convolution F (t) * G (t) is used as a parameter indicating the degree of coincidence between the actual change pattern and the reference pattern, and the integrated value exceeds a predetermined judgment threshold value, It can be determined that hydroplaning has occurred.

When hydroplaning is detected, in addition to the alarm from the buzzer 10 or the like, automatic cancellation of the auto-cruise device or throttle valve closing control of the electric throttle control device may be used together. Further, instead of the CPU performing the internal integration or the calculation of the integrated value, a dedicated high-speed filter arithmetic device may be used.

[0060]

As described above, in the hydroplaning phenomenon detecting device according to the first aspect, a typical change pattern of the wheel rotation speed when the hydroplaning phenomenon occurs is registered in advance, and the typical change pattern is registered. Is generated according to the driving conditions, a change pattern corresponding to each driving condition is generated, and the generated change pattern is compared with the actual change pattern to detect the occurrence of the hydroplaning phenomenon. Accurate detection is possible according to the traveling conditions of the vehicle.

Further, only one type of typical change characteristic of the wheel rotation speed (for example, a characteristic when a hydroplaning phenomenon occurs at a straight speed of 80 km / hour) is registered, and when the vehicle speed is different or when the vehicle is traveling on a curve. By registering information on the difference between the change characteristic when the planing phenomenon occurs and the registered characteristic in the pattern deformation condition setting means, the change pattern when the hydroplaning phenomenon occurs under various running conditions is generated by calculation. Therefore, it is not necessary to store a plurality of types of change characteristics corresponding to various running conditions, and the storage capacity of the reference pattern storage means can be reduced.

In the hydroplaning phenomenon detecting device according to the second aspect of the invention, since the judgment threshold value of the judging means is changed according to the running state of the vehicle, the running different from that when a typical change characteristic is set. In terms of conditions, it is possible to detect the hydroplaning phenomenon according to various running conditions by changing the determination threshold value.

[Brief description of drawings]

FIG. 1 is a schematic structural diagram of a vehicle equipped with a hydroplaning phenomenon detection device according to the present invention.

[Fig.2] Hardware configuration of hydroplaning phenomenon detector

FIG. 3 is a block configuration diagram of a hydroplaning phenomenon detection device according to claim 1.

FIG. 4 is a block configuration diagram of a hydroplaning phenomenon detection device according to claim 2;

FIG. 5 is a block configuration diagram showing another configuration example of the hydroplaning phenomenon detection device according to claim 2;

FIG. 6 is a flowchart of hydroplaning detection of the hydroplaning phenomenon detection device shown in FIG.

FIG. 7 is an operation explanatory view of the hydroplaning phenomenon detection device shown in FIG.

FIG. 8 is an explanatory diagram of convolution integral.

FIG. 9 is a graph showing the change over time of the driven wheel rotation speed when hydroplaning occurs.

FIG. 10 is an explanatory view showing various patterns of the driven wheel rotation speed.

[Explanation of symbols]

 1L, 1R Driven wheel rotation speed detection means 22, 42 Hydroplaning phenomenon detection part 31 Reference pattern storage means 32 Pattern deformation condition setting means 33L, 33R Reference pattern deformation means 36L, 36R Pattern comparison means 37L, 37R Judgment means 38, 55 Judgment threshold setting means 40 Alarm means

─────────────────────────────────────────────────── ─── Continuation of the front page (51) Int.Cl. ⁵ Identification code Internal reference number FI technical display location B62D 109: 00 111: 00

Claims (2)

[Claims] 1. A typical change pattern of wheel rotational speeds when a hydroplaning phenomenon occurs is registered in advance in a reference pattern storage means, and the typical change pattern and the actual wheel rotational speed change pattern are registered. The degree of approximation is compared by the pattern comparing means, and the determining means may cause a hydroplaning phenomenon or a hydroplaning phenomenon due to the degree of approximation between the patterns exceeding a preset threshold value. In a hydroplaning phenomenon detection device configured to generate a detection output to that effect, a deformation calculation is performed on a typical change pattern registered in the reference pattern storage means based on a running state of a vehicle. It is characterized in that a reference pattern deforming means for supplying the changed pattern to the pattern comparing means is provided. Hydroplaning detector apparatus according to. 2. A typical change pattern of the wheel rotation speed when a hydroplaning phenomenon occurs is registered in advance in a reference pattern storage means, and the representative change pattern and the actual wheel rotation speed change pattern are registered. The degree of approximation is compared by the pattern comparing means, and the determining means determines that the hydroplaning phenomenon has occurred or the hydroplaning phenomenon may occur due to the degree of approximation between the patterns exceeding the determination threshold value. In the hydroplaning phenomenon detection device configured to generate the detection output of the hydroplaning phenomenon detection device, the hydroplaning phenomenon detection device is provided with a determination threshold value setting unit that changes the determination threshold value of the determination unit according to a running state of the vehicle. Planing phenomenon detector.