JP2002221527A - Wear state detection method and device for tire, and wear determination program for tire - Google Patents
Wear state detection method and device for tire, and wear determination program for tireInfo
- Publication number
- JP2002221527A JP2002221527A JP2001019114A JP2001019114A JP2002221527A JP 2002221527 A JP2002221527 A JP 2002221527A JP 2001019114 A JP2001019114 A JP 2001019114A JP 2001019114 A JP2001019114 A JP 2001019114A JP 2002221527 A JP2002221527 A JP 2002221527A
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- vehicle
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- tire wear
- detecting
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- 238000001514 detection method Methods 0.000 title abstract description 7
- 230000001133 acceleration Effects 0.000 claims abstract description 36
- 238000000034 method Methods 0.000 claims description 14
- 238000005259 measurement Methods 0.000 abstract description 6
- 238000010586 diagram Methods 0.000 description 7
- 238000005070 sampling Methods 0.000 description 7
- 238000012935 Averaging Methods 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 230000036962 time dependent Effects 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 239000010426 asphalt Substances 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000012417 linear regression Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000010008 shearing Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
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Abstract
Description
【0001】[0001]
【発明の属する技術分野】本発明はタイヤの摩耗状態検
知装置および方法、ならびにタイヤの摩耗判断プログラ
ムに関する。さらに詳しくは、タイヤの回転情報を用い
て、タイヤの摩耗状態を検知することにより、車両の性
能や安全性能を高めることができるタイヤ摩耗状態検知
装置および方法、ならびにタイヤの摩耗判断プログラム
に関する。BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an apparatus and a method for detecting a worn state of a tire, and a program for determining a worn state of a tire. More specifically, the present invention relates to a tire wear state detecting device and method capable of improving vehicle performance and safety performance by detecting a tire wear state using tire rotation information, and a tire wear determination program.
【0002】[0002]
【従来の技術】タイヤには、排水性などを考えて、縦溝
と横溝が彫ってあるため、これらの溝に囲まれたゴムブ
ロックが形成されている。このゴムブロックが大きい
と、前後左右にせん断変形しにくく、剛性も大きいた
め、一般に大きなブロックからなるトレッドパターンを
もったタイヤをパターン剛性の大きなタイヤという。2. Description of the Related Art A tire is formed with a vertical groove and a horizontal groove in consideration of drainage and the like, so that a rubber block surrounded by these grooves is formed. If the rubber block is large, it is difficult to deform by shearing in the front-rear and left-right directions, and the rigidity is large. Therefore, a tire having a tread pattern composed of a large block is generally referred to as a tire having a large pattern rigidity.
【0003】パターン剛性の大小は、コーナリングパワ
ーやコーナリングフォースのほか、スリップ率に大きな
影響を及ぼすため、タイヤの回転情報をもとにして車両
の性能や安全性能を高める装置、たとえばABS(アン
チブロックブレーキングシステム)、TCS(トラクシ
ョンコントロールシステム)またはタイヤ空気圧低下警
報装置などにおいて、タイヤの回転情報をもとにして車
両の挙動を推定するには、タイヤのパターン剛性を把握
しておくことが重要である。[0003] Since the magnitude of the pattern rigidity has a great effect on the cornering power and the cornering force as well as the slip ratio, a device for improving the vehicle performance and safety performance based on tire rotation information, for example, an ABS (anti-block) is used. In order to estimate the behavior of a vehicle based on tire rotation information in a braking system), TCS (traction control system) or tire pressure drop warning device, it is important to know the pattern rigidity of the tire. It is.
【0004】また、タイヤが摩耗すると、タイヤのトレ
ッドゴムの厚さが薄くなるため、パターンの前後剛性が
大きくなる。タイヤが摩耗すると冬用タイヤにおいて
は、雪上性能に影響を与えるとともに、夏用タイヤにお
いては、ハイドロプレーニング性能に影響を与える。し
たがって、摩耗を検知することは有用であるが、これら
の装置では、タイヤの摩耗状態を検知する機能が備えら
れていない。したがって、タイヤの摩耗を識別するに
は、溝深さを測定するデプスゲージを用いたり、タイヤ
に設けられている摩耗限界を示すスリップサインを確認
するなどの目視による識別だけである。かかる目視によ
る識別は、熟練を要するため、タイヤのメンテナンスが
煩雑になりやすいとともに、タイヤのメンテナンスにお
ける始業点検時にタイヤの摩耗を見過ごしてしまう惧れ
がある。Further, when the tire is worn, the tread rubber of the tire becomes thin, so that the rigidity before and after the pattern becomes large. Wear of the tire affects the performance on snow in winter tires, and also affects hydroplaning performance in summer tires. Therefore, although it is useful to detect wear, these devices are not provided with a function of detecting a worn state of a tire. Therefore, tire wear can be identified only by visual identification, such as by using a depth gauge for measuring the groove depth or by checking a slip sign indicating a wear limit provided on the tire. Since such visual identification requires skill, tire maintenance tends to be complicated, and tire wear may be overlooked at the time of start-up inspection in tire maintenance.
【0005】そこで、特開平11−78442号公報で
は、タイヤの摩耗状態を定期的に測定する方法が示され
ている。[0005] Japanese Patent Application Laid-Open No. 11-78442 discloses a method of periodically measuring the tire wear state.
【0006】かかる方法によると、4輪のタイヤの回転
速度を定期的に測定し、その測定された回転速度から、
前輪タイヤと後輪タイヤの回転速度の比を演算し、該回
転速度の比と車両の加速度との関係式の傾きを求め、こ
の傾きと予め判っているタイヤの回転速度の比と加速度
との関係式の傾きとを比較することによりタイヤの摩耗
状態を検知している。すなわちスリップ率の小さい範囲
(10%以下)では、タイヤと路面のあいだでほとんど
滑りがなく、μ−s曲線の勾配は、トレッドゴムの前後
剛性で決まっているので、この傾きの経時変化を測定し
ていればタイヤの摩耗が検知できる。According to this method, the rotational speeds of the four tires are periodically measured, and based on the measured rotational speeds,
The ratio of the rotational speed of the front wheel tires to the rotational speed of the rear wheel tires is calculated, and the slope of the relational expression between the ratio of the rotational speeds and the acceleration of the vehicle is obtained. The tire wear state is detected by comparing the slope of the relational expression. That is, in the range where the slip ratio is small (10% or less), there is almost no slippage between the tire and the road surface, and the gradient of the μ-s curve is determined by the longitudinal rigidity of the tread rubber. If so, tire wear can be detected.
【0007】[0007]
【発明が解決しようとする課題】事実、μ−s曲線の勾
配は、トレッドゴムの前後剛性が大きくなるにしたがい
大きくなるが、路面の摩擦係数にも大きく影響を受けて
おり、図7に示すように路面(高μ路R1、中μ路R
2、低μ路R3)の摩擦係数が小さくなるにしたがい、
μ−s曲線の勾配、たとえばR3のμ−s曲線の勾配θ
も小さくなる傾向にある。したがって、単にμ−s曲線
の勾配のみの経時変化を測定していても、同じ摩擦係数
の路面で測定したものを比較しないと、たとえばμ−s
曲線の勾配が初期に比べて大きくなったからといって、
それはタイヤが摩耗したためなのか、前に測定した路面
よりも摩擦係数が高い路面で測定したためなのかの判断
ができない。In fact, the slope of the μ-s curve increases as the rigidity of the tread rubber in the front-rear direction increases, but is greatly affected by the friction coefficient of the road surface, as shown in FIG. Road surface (high μ road R1, middle μ road R
2. As the friction coefficient of the low μ road R3) becomes smaller,
The slope of the μ-s curve, eg, the slope θ of the μ-s curve of R3
Also tend to be smaller. Therefore, even if the time-dependent change of only the gradient of the μ-s curve is measured, for example, the μ-s curve must be compared with that measured on a road surface having the same friction coefficient.
Just because the slope of the curve is larger than the initial one,
It is not possible to judge whether this is due to a worn tire or to a road surface having a higher coefficient of friction than a previously measured road surface.
【0008】本発明は、叙上の事情に鑑み、タイヤの摩
耗状態をより正確に検知できるタイヤの摩耗状態検知装
置および方法、ならびにタイヤの摩耗判断プログラムを
提供することを目的とする。The present invention has been made in view of the above circumstances, and has as its object to provide a tire wear state detecting device and method capable of more accurately detecting a tire wear state, and a tire wear determination program.
【0009】[0009]
【課題を解決するための手段】本発明のタイヤの摩耗状
態検知装置は、車両の4輪のタイヤの回転速度を定期的
に検出する回転速度検出手段と、該回転速度検出手段に
よる測定値から、車両の速度および車両の加減速度を演
算する第1の演算手段と、前後輪のスリップ比を演算す
る第2の演算手段と、前記車両の加減速度とスリップ比
との互いの1次の回帰係数と相関係数を求める第3の演
算手段と、該得られた相関係数が所定値以上の場合の当
該1次の回帰係数を所定の個数蓄積し、該1次の回帰係
数の平均値を求める第4の演算手段と、該平均値に応じ
てタイヤの摩耗状態を検知するタイヤ摩耗検知手段とを
備えてなることを特徴とする。SUMMARY OF THE INVENTION A tire wear state detecting apparatus according to the present invention comprises: a rotational speed detecting means for periodically detecting rotational speeds of four tires of a vehicle; First calculating means for calculating the speed of the vehicle and the acceleration / deceleration of the vehicle, second calculating means for calculating the slip ratio of the front and rear wheels, and a first-order regression of the acceleration / deceleration and the slip ratio of the vehicle. A third calculating means for obtaining a coefficient and a correlation coefficient, a predetermined number of the first-order regression coefficients when the obtained correlation coefficient is equal to or more than a predetermined value, and an average value of the first-order regression coefficients And a tire wear detecting means for detecting a wear state of the tire according to the average value.
【0010】また本発明のタイヤの摩耗状態検知方法
は、車両の4輪のタイヤの回転速度を定期的に検出する
回転速度検出手段と、該回転速度検出手段による測定値
から、車両の速度および車両の加減速度を演算する工程
と、前後輪のスリップ比を演算する工程と、前記車両の
加減速度とスリップ比との互いの1次の回帰係数と相関
係数を求める工程と、該得られた相関係数が所定値以上
の場合の当該1次の回帰係数を所定の個数蓄積し、該1
次の回帰係数の平均値を求める工程と、該平均値に応じ
てタイヤの摩耗状態を検知する工程とを備えていること
を特徴とする。Further, the method of detecting a worn state of a tire according to the present invention includes a rotation speed detecting means for periodically detecting the rotation speeds of the four tires of the vehicle, and a speed and a speed of the vehicle based on values measured by the rotation speed detection means. Calculating the acceleration / deceleration of the vehicle, calculating the slip ratio of the front and rear wheels, and calculating the first-order regression coefficient and correlation coefficient of the acceleration / deceleration and the slip ratio of the vehicle. When the correlation coefficient obtained is equal to or more than a predetermined value, a predetermined number of the primary regression coefficients are accumulated,
The method is characterized by comprising a step of obtaining an average value of the following regression coefficients, and a step of detecting a tire wear state according to the average value.
【0011】また本発明のタイヤの摩耗判断プログラム
は、タイヤの摩耗状態を判断するためにコンピュータ
を、回転速度検出手段による測定値から、車両の速度お
よび車両の加減速度を演算する第1の演算手段、前後輪
のスリップ比を演算する第2の演算手段、前記車両の加
減速度とスリップ比との互いの1次の回帰係数と相関係
数を求める第3の演算手段、該得られた相関係数が所定
値以上の場合の当該1次の回帰係数を所定の個数蓄積
し、該1次の回帰係数の平均値を求める第4の演算手
段、および該平均値に応じてタイヤの摩耗状態を検知す
るタイヤ摩耗検知手段として機能させることを特徴とす
る。The program for determining tire wear according to the present invention comprises a first computer for calculating a vehicle speed and a vehicle acceleration / deceleration from a value measured by a rotation speed detecting means in order to determine a tire wear state. Means, second calculating means for calculating the slip ratio of the front and rear wheels, third calculating means for obtaining a mutual primary regression coefficient and correlation coefficient of the acceleration / deceleration of the vehicle and the slip ratio, and the obtained phase. Fourth arithmetic means for accumulating a predetermined number of the primary regression coefficients when the number of relations is equal to or more than a predetermined value, and obtaining an average value of the primary regression coefficients, and a tire wear state according to the average value It is characterized by functioning as a tire wear detecting means for detecting tire wear.
【0012】[0012]
【発明の実施の形態】以下、添付図面に基づいて、本発
明のタイヤの摩耗状態検知装置および方法、ならびにタ
イヤの摩耗判断プログラムを説明する。DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, a tire wear state detecting device and method and a tire wear determination program according to the present invention will be described with reference to the accompanying drawings.
【0013】図1は本発明のタイヤの摩耗状態検知装置
の一実施の形態を示すブロック図、図2は図1における
タイヤの摩耗状態検知装置の電気的構成を示すブロック
図、図3〜4は本発明のフローチャートの一例、図5は
前輪駆動車に装着された新品タイヤFF1、約40%摩
耗タイヤFF2、約80%摩耗タイヤFF3におけるタ
イヤ摩耗指数の経時変化を示す図、図6は後輪駆動車に
装着された新品タイヤFR1、約40%摩耗タイヤFR
2、約80%摩耗タイヤFR3におけるタイヤ摩耗指数
の経時変化を示す図である。FIG. 1 is a block diagram showing an embodiment of a tire wear state detecting device according to the present invention, FIG. 2 is a block diagram showing an electrical configuration of the tire wear state detecting device in FIG. 1, and FIGS. FIG. 5 is an example of a flowchart of the present invention, FIG. 5 is a diagram showing a time-dependent change of a tire wear index in a new tire FF1, a 40% worn tire FF2, and an 80% worn tire FF3 mounted on a front wheel drive vehicle, and FIG. New tire FR1 mounted on a wheel drive vehicle, approximately 40% worn tire FR
FIG. 2 is a graph showing a change over time in a tire wear index of an approximately 80% worn tire FR3.
【0014】図1に示すように、本発明の一実施の形態
にかかわるタイヤの摩耗状態検知装置は、4輪車両のタ
イヤFL、FR、RLおよびRRにそれぞれ設けられた
車輪タイヤの回転速度を定期的に検出する回転速度検出
手段を備えており、この回転速度検出手段の出力は、A
BSなどのコンピュータである制御ユニット2に伝達さ
れる。なお、3はタイヤの摩耗状態により警報を発する
摩耗警報器である。As shown in FIG. 1, a tire wear state detecting apparatus according to one embodiment of the present invention measures the rotational speeds of wheel tires provided on tires FL, FR, RL and RR of a four-wheeled vehicle. It is provided with a rotational speed detecting means for detecting periodically, and the output of the rotational speed detecting means is A
The information is transmitted to the control unit 2 which is a computer such as a BS. Reference numeral 3 denotes a wear alarm which issues an alarm according to the tire wear state.
【0015】前記回転速度検出手段としては、電磁ピッ
クアップなどを用いて回転パルスを発生させてパルスの
数から回転速度を測定する車輪速センサ1、またはダイ
ナモのように回転を利用して発電を行ない、この電圧か
ら回転速度を測定するものを含む角速度センサなどを用
いることができる。The rotation speed detecting means generates a rotation pulse using an electromagnetic pickup or the like and measures the rotation speed from the number of pulses, or a wheel speed sensor 1 such as a dynamo to generate electric power. Alternatively, an angular velocity sensor or the like including one that measures the rotation speed from this voltage can be used.
【0016】前記制御ユニット2は、図2に示されるよ
うに、外部装置との信号の受け渡しに必要なI/Oイン
ターフェイス2aと、演算処理の中枢として機能するC
PU2bと、該CPU1bの制御動作プログラムが格納
されたROM2cと、前記CPU2bが制御動作を行な
う際にデータなどが一時的に書き込まれたり、その書き
込まれたデータなどが読み出されるRAM2dとから構
成されている。As shown in FIG. 2, the control unit 2 includes an I / O interface 2a required for transmitting and receiving signals to and from an external device, and a C functioning as a center of arithmetic processing.
A PU 2b, a ROM 2c in which a control operation program of the CPU 1b is stored, and a RAM 2d into which data or the like is temporarily written when the CPU 2b performs a control operation, and from which the written data is read. I have.
【0017】本実施の形態では、回転速度検出手段と、
該回転速度検出手段による測定値から、車両の速度およ
び車両の加減速度を演算する第1の演算手段と、前後輪
のスリップ比を演算する第2の演算手段と、前記車両の
加減速度とスリップ比との互いの1次の回帰係数と相関
係数を求める第3の演算手段と、該得られた相関係数が
所定値以上の場合の当該1次の回帰係数を所定の個数蓄
積し、該1次の回帰係数の平均値を求める第4の演算手
段と、該平均値に応じてタイヤの摩耗状態を検知するタ
イヤ摩耗検知手段とを備えている。そして、本実施の形
態におけるタイヤの摩耗判断プログラムは、制御ユニッ
ト2を、前記車輪速センサ1による測定値から車両の速
度および車両の加減速度を演算する第1の演算手段、前
後輪のスリップ比(前輪タイヤの車輪速度と後輪タイヤ
との車輪速度の比)を演算する第2の演算手段、前記車
両の加減速度とスリップ比との互いの1次の回帰係数と
相関係数を求める第3の演算手段、該得られた相関係数
が所定値以上の場合の当該1次の回帰係数を所定の個数
蓄積し、該1次の回帰係数の平均値を求める第4の演算
手段、および該平均値に応じてタイヤの摩耗状態を検知
するタイヤ摩耗検知手段として機能させる。In this embodiment, the rotational speed detecting means includes:
First calculating means for calculating the speed of the vehicle and the acceleration / deceleration of the vehicle from the measured value by the rotation speed detecting means; second calculating means for calculating the slip ratio of the front and rear wheels; A third calculating means for obtaining a first-order regression coefficient and a correlation coefficient with respect to the ratio, and storing a predetermined number of the first-order regression coefficients when the obtained correlation coefficient is equal to or more than a predetermined value; A fourth calculating means for calculating an average value of the primary regression coefficients; and a tire wear detecting means for detecting a tire wear state according to the average value. The tire wear determination program according to the present embodiment includes a control unit 2 that calculates a vehicle speed and a vehicle acceleration / deceleration from a measured value obtained by the wheel speed sensor 1; Second calculating means for calculating (the ratio of the wheel speed of the front wheel tires to the wheel speed of the rear wheel tires); and a second calculating means for calculating mutual regression coefficients and correlation coefficients of the acceleration / deceleration and the slip ratio of the vehicle. A third calculating means, a fourth calculating means for accumulating a predetermined number of the primary regression coefficients when the obtained correlation coefficient is equal to or more than a predetermined value, and obtaining an average value of the primary regression coefficients; It functions as tire wear detecting means for detecting the state of wear of the tire according to the average value.
【0018】前記平均値に駆動軸の重量/車両の重量を
掛けて、タイヤの摩耗度合いを示すタイヤ摩耗指数を求
める第5の演算手段を備えているのが好ましい。It is preferable that a fifth arithmetic means is provided for obtaining a tire wear index indicating a degree of tire wear by multiplying the average value by the weight of the drive shaft / the weight of the vehicle.
【0019】本実施の形態では、前記4輪のタイヤの回
転速度を1秒以下で検出する。前記車両の加減速度はG
センサで測定することもできるが、4輪または従動輪の
平均車輪速度から演算するのがコスト面から好ましい。In the present embodiment, the rotational speed of the four tires is detected in one second or less. The acceleration / deceleration of the vehicle is G
Although it can be measured by a sensor, it is preferable to calculate from the average wheel speed of four wheels or driven wheels from the viewpoint of cost.
【0020】ついで前記車両の加減速度およびスリップ
比を一定時間分のデータ、たとえば2秒分以上のデータ
の平均値として、サンプリング時間ごとに移動平均化し
て求め、この移動平均された値(一定個数の車両の加減
速度とスリップ比)を求める。Then, the acceleration / deceleration and slip ratio of the vehicle are determined by moving-averaging every sampling time as an average value of data for a fixed time, for example, data for 2 seconds or more. Acceleration and deceleration and slip ratio) of the vehicle.
【0021】さらに前記移動平均された車両の加減速度
およびスリップ比のデータを、たとえば走行距離が50
0mになるまで蓄積する。なお、本発明においては、走
行距離ではなくデータを一定時間、たとえば30秒間蓄
積してもよいし、データ数が100個になるまで蓄積し
てもよい。この蓄積した車両の加減速度とスリップ比と
の互いの1次の回帰係数と相関係数を求める。ここで、
相関係数が所定値、たとえば0.9以上の場合の1次の
回帰係数が所定の個数、たとえば100個蓄積されるご
とに、当該1次の回帰係数の平均値を求める。つぎにこ
の平均値に車両係数(駆動軸の重量/車両の重量)Md
/Mを掛けてタイヤ摩耗指数Wを求める。このタイヤ摩
耗指数が所定の値Wo以下(W<Wo)であれば、タイ
ヤが摩耗状態であると判断し、警報としてドライバーに
知らせる。Further, the data of the moving averaged acceleration / deceleration and slip ratio of the vehicle, for example, when the traveling distance is 50
Accumulate until 0 m. In the present invention, data may be stored for a certain period of time, for example, 30 seconds, instead of the traveling distance, or until the number of data reaches 100. The first-order regression coefficient and correlation coefficient of the accumulated acceleration / deceleration and slip ratio of the vehicle are obtained. here,
Each time a predetermined number of primary regression coefficients, for example, 100, are accumulated when the correlation coefficient is a predetermined value, for example, 0.9 or more, an average value of the primary regression coefficients is obtained. Next, a vehicle coefficient (weight of drive shaft / weight of vehicle) Md is added to the average value.
/ M to determine the tire wear index W. If the tire wear index is equal to or less than a predetermined value Wo (W <Wo), it is determined that the tire is in a worn state, and the driver is notified as an alarm.
【0022】以下、本実施の形態のタイヤの摩耗状態検
知装置の動作を手順(1)〜(10)に沿って説明する。Hereinafter, the operation of the tire wear state detecting device according to the present embodiment will be described in accordance with procedures (1) to (10).
【0023】(1)車両の4輪タイヤFL、FR、RLお
よびRRのそれぞれの回転速度から車輪速度(V1n、
V2n、V3n、V4n)を算出する。たとえば、AB
Sセンサなどのセンサから得られた車両の各車輪タイヤ
FL、FR、RL、RRのある時点の車輪速データを車
輪速度V1n、V2n、V3n、V4nとする。(1) The wheel speeds (V1 n , V1 n ) are calculated from the rotation speeds of the four-wheel tires FL, FR, RL and RR of the vehicle.
V2 n , V3 n , V4 n ) are calculated. For example, AB
The respective wheel tires FL of the vehicle obtained from sensors such as S sensor and FR, RL, wheel speeds V1 n the wheel speed data of the point in the RR, and V2 n, V3 n, V4 n .
【0024】(2)ついで従動輪および駆動輪の平均車輪
速度(Vfn、Vdn)を演算する。前輪駆動の場合、
ある時点の従動輪および駆動輪の平均車輪速度Vfn、
Vdnをつぎの式(1)、(2)により求められる。 Vfn=(V3n+V4n)/2 ・・・(1) Vdn=(V1n+V2n)/2 ・・・(2)(2) Then, average wheel speeds (Vf n , Vd n ) of the driven wheels and the drive wheels are calculated. For front wheel drive,
The average wheel speed Vf n of the driven wheel and the driving wheel at a certain time,
Equation vd n the following (1), obtained by (2). Vf n = (V3 n + V4 n) / 2 ··· (1) Vd n = (V1 n + V2 n) / 2 ··· (2)
【0025】(3)ついで前記従動輪の平均車輪加減速度
(すなわち車両の加減速度)Afnを演算する。前記従
動輪の平均車輪速度Vfnより1つ前の車輪速データか
ら、平均車輪速度Vfn−1とすると、従動輪の平均車
輪加減速度Afnはそれぞれつぎの式(3)で求められ
る。 Afn=(Vfn−Vfn−1)/Δt/g ・・・(3) ここで、Δtは車輪速データから算出される車輪速度V
fnとVfn−1の時間間隔(サンプリング時間)であ
り、gは重力加速度である。前記サンプルング時間とし
ては、データのばらつきを小さくするためにも、0.1
秒以下が好ましい。[0025] (3) followed average wheel acceleration of the driven wheels (i.e. acceleration or deceleration of the vehicle) is calculated Af n. The average one from the previous wheel speed data from the wheel speed Vf n of the following wheels and the average wheel speed Vf n-1, the average wheel acceleration Af n of the driven wheel is calculated by the respective following formula (3). Af n = (Vf n −Vf n−1 ) / Δt / g (3) where Δt is the wheel speed V calculated from the wheel speed data.
a f n and Vf n-1 time interval (sampling time), g is the gravitational acceleration. The sampling time is set to 0.1 in order to reduce data variation.
Seconds or less are preferred.
【0026】(4)ついで前記車両の加減速度Afnの値
に応じて、スリップ比を演算する。まず、加速状態で、
駆動輪がロック状態で車両が滑っているとき(Vdn=
0、Vfn≠0)や、減速状態で、車両が停止状態で駆
動輪がホイールスピンを起こしているとき(Vfn=
0、Vdn≠0)は、起こり得ないものとして、スリッ
プ比Snをつぎの式(4)、(5)から演算する。 Afn≧0およびVdn≠0である場合、Sn=(Vfn−Vdn)/Vd n ・・・(4) Afn<0およびVfn≠0である場合、Sn=(Vfn−Vdn)/Vf n ・・・(5) 前記以外の場合は、Sn=1とする。(4) Next, the acceleration / deceleration Af of the vehiclenThe value of the
The slip ratio is calculated according to. First, in an accelerated state,
When the vehicle is slipping with the drive wheels locked (Vdn=
0, Vfn≠ 0) or when the vehicle is stopped in a deceleration state
When the driving wheel is causing wheel spin (Vfn=
0, Vdn(≠ 0) is a slip
Ratio SnIs calculated from the following equations (4) and (5). Afn≧ 0 and VdnIf ≠ 0, Sn= (Vfn-Vdn) / Vd n ... (4) Afn<0 and VfnIf ≠ 0, Sn= (Vfn-Vdn) / Vf n ... (5) In cases other than the above, Sn= 1.
【0027】(5)ついで車両の加減速度およびスリップ
比のデータをサンプリング時間ごとに移動平均化処理す
る。直線回帰をする場合、一定以上のデータ数がなけれ
ば、得られた1次の回帰係数の信頼性が劣る。そこで、
たとえば数十msごとにデータをサンプリングし、この
サンプリング時間で得られたばらつきの大きいデータを
移動平均することにより、データの数を減らさずに、デ
ータのばらつきを小さくすることができる。スリップ比
については、 MSn=(S1+S2+・・・+Sn)/N ・・・(6 ) MSn+1=(S2+S3+・・・+Sn+1)/N ・・・ (7) MSn+2=(S3+S4+・・・+Sn+2)/N ・・・ (8) 車両の加減速度については、 MAfn=(Af1+Af2+・・・+Afn)/N ・・・(9 ) MAfn+1=(Af2+Af3+・・・+Afn+1)/N ・・・( 10) MAfn+2=(Af3+Af4+・・・+Afn+2)/N ・・・( 11)(5) Next, the data of the acceleration / deceleration of the vehicle and the slip ratio are subjected to a moving average process for each sampling time. When performing linear regression, the reliability of the obtained first-order regression coefficients is poor unless the number of data exceeds a certain value. Therefore,
For example, by sampling data at intervals of several tens of ms and moving-averaging the data having a large variation obtained during this sampling time, the variation in the data can be reduced without reducing the number of data. Regarding the slip ratio, MS n = (S 1 + S 2 +... + S n ) / N (6) MS n + 1 = (S 2 + S 3 +... + S n + 1 ) / N (7) MS n + 2 = (S 3 + S 4 +... + S n + 2 ) / N (8) Regarding the acceleration / deceleration of the vehicle, MAf n = (Af 1 + Af 2 +... + Af n ) / N (9) MAf n + 1 = (Af 2 + Af 3 +... + Af n + 1 ) / N (10) MAf n + 2 = (Af 3 + Af 4 +... + Af n + 2 ) / N (11)
【0028】(6)ついで車両の加減速度とスリップ比と
の互いの1次の回帰係数、すなわちスリップ比の車両の
加減速度に対する1次の回帰係数K1と車両の加減速度
のスリップ比に対する1次の回帰係数K2をそれぞれつ
ぎの式(12)、(13)から求める。(6) Next, the first-order regression coefficient of the vehicle acceleration / deceleration and the slip ratio, ie, the first-order regression coefficient K1 of the slip ratio for the vehicle acceleration / deceleration and the first-order regression coefficient of the vehicle acceleration / deceleration for the slip ratio. Is obtained from the following equations (12) and (13), respectively.
【0029】[0029]
【数1】 (Equation 1)
【0030】[0030]
【表1】 [Table 1]
【0031】また、相関係数Rは、 R=K1×K2 ・・・(14) となる。The correlation coefficient R is as follows: R = K1 × K2 (14)
【0032】(7)前記手順(6)により求めた1次の回帰係
数K1(またはK2)の値を所定の時間または所定の個
数蓄積する。以下、1次の回帰係数K1について説明す
る。このとき、相関係数Rの値に応じて1次の回帰係数
K1のデータを蓄積するか否かをを決定する。このデー
タ蓄積のしきい値となる相関係数Rの値については、と
くに限定されるものではないが、小さすぎると測定精度
が劣ったデータも蓄積されてしまうため、0.5以上が
好ましいが、0.9以上ではデータがほとんど蓄積され
ないため、0.7前後が好ましい。なお、データの蓄積
量については、前述したように走行距離、測定時間また
は蓄積個数で決定する。この蓄積量についてはとくに限
定されるものではないが、たとえば一定の測定時間、た
とえば30秒間蓄積してもよい。また、タイヤの摩耗状
態を評価する場合、摩耗が数分や数時間といった時間単
位で急激に進むことはほとんどありえないので、測定時
間を30分や1時間と長くする分にはとくに問題はな
い。しかし、データ容量の都合もあるので、現実的な範
囲で設定するのが好ましい。また、たとえば数分間の測
定を数回程度繰り返し、その平均で評価したり、ばらつ
きの大きなデータは削除して評価することもできる。(7) The value of the primary regression coefficient K1 (or K2) obtained by the procedure (6) is stored for a predetermined time or a predetermined number. Hereinafter, the first-order regression coefficient K1 will be described. At this time, it is determined whether or not to store the data of the first-order regression coefficient K1 according to the value of the correlation coefficient R. The value of the correlation coefficient R serving as a threshold value of the data accumulation is not particularly limited. However, if the value is too small, data with inferior measurement accuracy may be accumulated. , 0.9 or more, data is hardly accumulated, so that about 0.7 is preferable. Note that the data storage amount is determined by the travel distance, the measurement time, or the number of stored data, as described above. The accumulated amount is not particularly limited, but may be accumulated for a certain measurement time, for example, 30 seconds. Further, when evaluating the wear state of the tire, the wear hardly progresses rapidly in units of several minutes or several hours, so that there is no particular problem in increasing the measurement time to 30 minutes or one hour. However, because of the data capacity, it is preferable to set it within a practical range. In addition, for example, measurement for several minutes is repeated about several times, and the average can be evaluated, or data having large variations can be deleted and evaluated.
【0033】(8)ついで相関係数Rが所定値以上の場合
の1次の回帰係数K1を所定の個数蓄積し、その平均値
を求める。たとえば0.9以上の場合の1次の回帰係数
K1が所定の個数、たとえば100個蓄積されるごと
に、当該1次の回帰係数K1の平均値K1mを求める。(8) Next, a predetermined number of primary regression coefficients K1 when the correlation coefficient R is equal to or more than a predetermined value are accumulated, and the average value is obtained. For example, each time a predetermined number of primary regression coefficients K1, for example, 100, are accumulated, the average value K1m of the primary regression coefficients K1 is calculated.
【0034】(9)ついでこの平均値K1mに車両係数
(駆動軸の重量/車両の重量)Md/Mを掛けてタイヤ
摩耗指数Wを求める。(9) Next, the tire wear index W is obtained by multiplying the average value K1m by the vehicle coefficient (drive shaft weight / vehicle weight) Md / M.
【0035】(10)ついでこのタイヤ摩耗指数が所定の値
Wo以下(W<Wo)であれば、タイヤが摩耗状態であ
ると判断する。なお、この所定の値Woは、タイヤの種
類により異なるが、タイヤの摩耗状態、たとえばタイヤ
の摩耗度合いが約70%摩耗でタイヤ交換が望ましい状
態を考えると、タイヤ摩耗指数WがWo=0.015以
下である場合に、タイヤが摩耗状態であると判断する。
そして、タイヤが摩耗状態であると判断されると、前記
摩耗警報器3によりドライバーに知らせる。(10) If the tire wear index is equal to or less than a predetermined value Wo (W <Wo), it is determined that the tire is in a worn state. The predetermined value Wo varies depending on the type of the tire. However, considering a tire wear state, for example, a state in which the degree of wear of the tire is about 70% wear and a tire replacement is desired, the tire wear index W is Wo = 0. If it is not more than 015, it is determined that the tire is in a worn state.
When it is determined that the tire is in a worn state, the wear alarm 3 informs the driver.
【0036】[0036]
【実施例】つぎに本発明を実施例に基づいて説明する
が、本発明はかかる実施例のみに限定されるものではな
い。Next, the present invention will be described based on examples, but the present invention is not limited to only these examples.
【0037】実施例1〜2 まず車両として前輪駆動車に新品タイヤ、約40%摩耗
したタイヤまたは約80%摩耗したタイヤを装着した。
このときのタイヤは、住友ゴム工業(株)製 FM901
である。そして、各タイヤについて、乾燥アスファルト
路を4時間走行した(実施例1)。また、前記前輪駆動
車に代えて後輪駆動車に前記新品タイヤ、約40%摩耗
したタイヤまたは約80%摩耗したタイヤを装着させ
て、実施例1と同様の走行試験を行なった(実施例
2)。Examples 1 and 2 First, a new tire, a tire worn by about 40% or a tire worn by about 80% was mounted on a front wheel drive vehicle.
The tire at this time was FM901 manufactured by Sumitomo Rubber Industries, Ltd.
It is. Then, each tire was driven on a dry asphalt road for 4 hours (Example 1). In addition, a running test similar to that of Example 1 was performed by mounting the new tire, the tire worn by about 40% or the tire worn by about 80% on the rear wheel drive vehicle instead of the front wheel drive vehicle (Example). 2).
【0038】この走行に際し、図3に示されるように車
輪速センサから出力される車輪速パルスに基づいて、
0.1秒ごとの車輪速を取り込み(ステップS1)、従
動輪の平均車輪速を車両速度Fsとして演算するととも
に、走行時間Tと走行距離Dを計算する(ステップS
2)。ついで0.1秒ごとの車両の加減速度Facとス
リップ比SRを計算した(ステップS3、S4)。この
車両の加減速度Facとスリップ比SRについては、そ
れぞれ2秒間のデータをサンプリング時間ごとに、移動
平均処理した値FacMおよびSRMを求めた(ステッ
プS5、S6)。In this traveling, as shown in FIG. 3, based on the wheel speed pulse output from the wheel speed sensor,
The wheel speed is taken every 0.1 second (step S1), the average wheel speed of the driven wheels is calculated as the vehicle speed Fs, and the travel time T and the travel distance D are calculated (step S1).
2). Then, the acceleration / deceleration Fac and the slip ratio SR of the vehicle every 0.1 second were calculated (steps S3 and S4). Regarding the acceleration / deceleration Fac and the slip ratio SR of the vehicle, values FacM and SRM obtained by performing a moving average process on the data for 2 seconds for each sampling time were obtained (steps S5 and S6).
【0039】ついで前記走行距離DがD1=500mご
とのFacMとSRMを蓄積し(ステップS7、S
8)、スリップ比に対する車両加速度の1次の回帰係数
K1と相関係数Rを求めた(ステップS9)。相関係数
RがR1=0.9以上であるか否かを判断し(ステップ
S10、S11)、R1=0.9以上のときの1次の回
帰係数K1がX=100個蓄積されるごとに、その平均
値K1mを求める(ステップS11〜S14)。Then, FacM and SRM are accumulated for each traveling distance D of D1 = 500 m (steps S7, S7).
8) A first-order regression coefficient K1 and a correlation coefficient R of the vehicle acceleration with respect to the slip ratio were obtained (step S9). It is determined whether or not the correlation coefficient R is equal to or greater than R1 = 0.9 (steps S10 and S11). Each time X = 100 primary regression coefficients K1 when R1 = 0.9 or greater are accumulated. Then, the average value K1m is obtained (steps S11 to S14).
【0040】つぎに平均値K1mに車両係数Md/M
(実施例1の前輪駆動車は0.651であり、実施例2
の後輪駆動車は0.462である)を掛けてタイヤ摩耗
指数Wを求め(ステップS15)、このタイヤ摩耗係数
Wの値により警報を発するか否かを判断し、タイヤ摩耗
係数WがWo=0.015以下となった時点でタイヤ摩
耗警報を発するようにした(ステップS16〜S1
8)。Next, the vehicle coefficient Md / M is added to the average value K1m.
(The front-wheel drive vehicle of Example 1 is 0.651, and Example 2
Is 0.462 for the rear wheel drive vehicle) to obtain a tire wear index W (step S15), and it is determined whether or not an alarm is issued based on the value of the tire wear coefficient W. = 0.015 or less, a tire wear warning is issued (steps S16 to S1).
8).
【0041】その結果、実施例1の場合、図5に示され
るタイヤ摩耗指数の経時変化から、新品タイヤFF1で
はタイヤ摩耗指数は絶えず0.024〜0.025で推
移しているのに対し、約40%摩耗タイヤFF2では絶
えず0.016〜0.017で推移している。また約8
0%摩耗タイヤFF3では絶えず0.011〜0.01
2である。As a result, in the case of Example 1, the tire wear index of the new tire FF1 constantly changes from 0.024 to 0.025 based on the change with time of the tire wear index shown in FIG. For the tire FF2 which is about 40% worn, it constantly changes between 0.016 and 0.017. Also about 8
0% wear tire FF3 constantly 0.011-0.01
2.
【0042】また、実施例2の場合、図6に示されるタ
イヤ摩耗指数の経時変化から、新品タイヤFR1ではタ
イヤ摩耗指数は絶えず0.025〜0.027で推移し
ているのに対し、約40%摩耗タイヤFR2では絶えず
0.017〜0.018で推移している。また約80%
摩耗タイヤFR3では絶えず0.012〜0.013で
ある。In the case of the second embodiment, the tire wear index of the new tire FR1 constantly changes from 0.025 to 0.027, while the tire wear index changes from 0.025 to 0.027, as shown in FIG. For the 40% worn tire FR2, it constantly changes between 0.017 and 0.018. About 80%
For the worn tire FR3, it is constantly 0.012 to 0.013.
【0043】したがって、実施例1、2とも精度良くタ
イヤの摩耗度合いを識別していることがわかる。また、
実施例1と実施例2は、車両が変わってもほぼ同じタイ
ヤ摩耗指数を示していることから、別途車両ごとの識別
などを盛り込む必要がないことがわかる。Accordingly, it can be seen that both Examples 1 and 2 accurately identify the degree of tire wear. Also,
Since Example 1 and Example 2 show almost the same tire wear index even when the vehicle changes, it is understood that it is not necessary to separately include identification for each vehicle.
【0044】[0044]
【発明の効果】以上説明したとおり、本発明によれば、
タイヤの摩耗状態を精度よく検知することができるた
め、車両の性能や安全性能を高めることができる。As described above, according to the present invention,
Since the wear state of the tire can be accurately detected, the performance and safety performance of the vehicle can be improved.
【図1】本発明のタイヤの摩耗状態検知装置の一実施の
形態を示すブロック図である。FIG. 1 is a block diagram showing one embodiment of a tire wear state detecting device according to the present invention.
【図2】図1におけるタイヤの摩耗状態検知装置の電気
的構成を示すブロック図である。FIG. 2 is a block diagram showing an electrical configuration of the tire wear state detecting device in FIG.
【図3】本発明のフローチャートの一例である。FIG. 3 is an example of a flowchart of the present invention.
【図4】本発明のフローチャートの一例である。FIG. 4 is an example of a flowchart of the present invention.
【図5】前輪駆動車に装着された新品タイヤFF1、約
40%摩耗タイヤFF2、約80%摩耗タイヤFF3に
おけるタイヤ摩耗指数の経時変化を示す図である。FIG. 5 is a diagram showing a change over time in a tire wear index of a new tire FF1, a tire 40% worn, and a tire FF3 worn about 40%, which are mounted on a front wheel drive vehicle.
【図6】後輪駆動車に装着された新品タイヤFR1、約
40%摩耗タイヤFR2、約80%摩耗タイヤFR3に
おけるタイヤ摩耗指数の経時変化を示す図である。FIG. 6 is a graph showing a change over time in a tire wear index of a new tire FR1, a tire 40% worn, and a tire FR3 worn about 80%, which are mounted on a rear wheel drive vehicle.
【図7】路面μとスリップ比sとの関係を示す模式図で
ある。FIG. 7 is a schematic diagram showing a relationship between a road surface μ and a slip ratio s.
1 車輪速センサ(回転速度検出手段) 2 制御ユニット 3 摩耗警報器 FL、FR、RL、RR タイヤ DESCRIPTION OF SYMBOLS 1 Wheel speed sensor (rotation speed detection means) 2 Control unit 3 Wear alarm FL, FR, RL, RR Tire
Claims (5)
に検出する回転速度検出手段と、該回転速度検出手段に
よる測定値から、車両の速度および車両の加減速度を演
算する第1の演算手段と、前後輪のスリップ比を演算す
る第2の演算手段と、前記車両の加減速度とスリップ比
との互いの1次の回帰係数と相関係数を求める第3の演
算手段と、該得られた相関係数が所定値以上の場合の当
該1次の回帰係数を所定の個数蓄積し、該1次の回帰係
数の平均値を求める第4の演算手段と、該平均値に応じ
てタイヤの摩耗状態を検知するタイヤ摩耗検知手段とを
備えてなるタイヤの摩耗状態検知装置。A rotation speed detecting means for periodically detecting rotation speeds of four tires of a vehicle, and a first speed calculating means for calculating a speed of the vehicle and an acceleration / deceleration of the vehicle based on a value measured by the rotation speed detecting means. Calculating means, second calculating means for calculating a slip ratio of the front and rear wheels, third calculating means for calculating a mutual primary regression coefficient and correlation coefficient between the acceleration / deceleration and the slip ratio of the vehicle, A fourth calculating means for accumulating a predetermined number of the primary regression coefficients when the obtained correlation coefficient is equal to or more than a predetermined value and obtaining an average value of the primary regression coefficients; A tire wear state detecting device, comprising: a tire wear detecting means for detecting a tire wear state.
を掛けて、タイヤの摩耗度合いを示すタイヤ摩耗指数を
求める第5の演算手段を備えており、前記タイヤ摩耗検
知手段が、該タイヤ摩耗指数が所定の値以下であるとき
にタイヤの摩耗を判断する請求項1記載の摩耗状態検知
装置。2. The vehicle according to claim 1, further comprising: fifth calculating means for multiplying the average value by a weight of the drive shaft / the weight of the vehicle to obtain a tire wear index indicating a degree of tire wear. The wear state detecting device according to claim 1, wherein when the tire wear index is equal to or less than a predetermined value, the wear of the tire is determined.
に検出する回転速度検出手段と、該回転速度検出手段に
よる測定値から、車両の速度および車両の加減速度を演
算する工程と、前後輪のスリップ比を演算する工程と、
前記車両の加減速度とスリップ比との互いの1次の回帰
係数と相関係数を求める工程と、該得られた相関係数が
所定値以上の場合の当該1次の回帰係数を所定の個数蓄
積し、該1次の回帰係数の平均値を求める工程と、該平
均値に応じてタイヤの摩耗状態を検知する工程とを備え
ているタイヤの摩耗状態検知方法。3. A rotational speed detecting means for periodically detecting rotational speeds of four tires of the vehicle, and a step of calculating a vehicle speed and a vehicle acceleration / deceleration from a value measured by the rotational speed detecting means. Calculating the slip ratio of the front and rear wheels;
Obtaining a mutual primary regression coefficient and a correlation coefficient between the acceleration / deceleration and the slip ratio of the vehicle, and determining the primary regression coefficient when the obtained correlation coefficient is a predetermined value or more by a predetermined number. A method for detecting a worn state of a tire, comprising: a step of accumulating and calculating an average value of the primary regression coefficients; and a step of detecting a worn state of the tire according to the average value.
を掛けて、タイヤの摩耗度合いを示すタイヤ摩耗指数を
求め、該タイヤ摩耗指数が所定の値以下であるときにタ
イヤの摩耗を判断する請求項3記載の摩耗状態検知方
法。4. A tire wear index indicating the degree of tire wear is obtained by multiplying the average value by the weight of the drive shaft / the weight of the vehicle. When the tire wear index is equal to or less than a predetermined value, the tire wear is evaluated. 4. The method according to claim 3, wherein the determination is made.
ピュータを、回転速度検出手段による測定値から、車両
の速度および車両の加減速度を演算する第1の演算手
段、前後輪のスリップ比を演算する第2の演算手段、前
記車両の加減速度とスリップ比との互いの1次の回帰係
数と相関係数を求める第3の演算手段、該得られた相関
係数が所定値以上の場合の当該1次の回帰係数を所定の
個数蓄積し、該1次の回帰係数の平均値を求める第4の
演算手段、および該平均値に応じてタイヤの摩耗状態を
検知するタイヤ摩耗検知手段として機能させるためのタ
イヤの摩耗判断プログラム。5. A first calculating means for calculating a vehicle speed and a vehicle acceleration / deceleration from a measured value by a rotation speed detecting means, for calculating a tire wear state, and calculating a slip ratio of front and rear wheels. A second calculating means for calculating a first-order regression coefficient and a correlation coefficient of the acceleration / deceleration and the slip ratio of the vehicle, and a third calculating means for obtaining a correlation coefficient of not less than a predetermined value A fourth calculating means for accumulating a predetermined number of the primary regression coefficients and calculating an average value of the primary regression coefficients, and a tire wear detecting means for detecting a tire wear state according to the average value A program to determine the wear of tires.
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|---|---|---|---|
| JP2001019114A JP4582920B2 (en) | 2001-01-26 | 2001-01-26 | Tire wear state detecting device and method, and tire wear judging program |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2001019114A JP4582920B2 (en) | 2001-01-26 | 2001-01-26 | Tire wear state detecting device and method, and tire wear judging program |
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| JP4582920B2 JP4582920B2 (en) | 2010-11-17 |
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| JP2008049776A (en) * | 2006-08-23 | 2008-03-06 | Denso Corp | Traveling state monitoring device for vehicle |
| JP2009292434A (en) * | 2008-06-09 | 2009-12-17 | Yokohama Rubber Co Ltd:The | Abrasion state estimation method for tire and its device |
| JP2010215195A (en) * | 2009-03-19 | 2010-09-30 | Hitachi Constr Mach Co Ltd | Vehicle with tire wear determining device |
| JP2018158722A (en) * | 2017-03-23 | 2018-10-11 | ザ・グッドイヤー・タイヤ・アンド・ラバー・カンパニー | Model based tire wear estimation system and method |
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| US10981562B2 (en) | 2017-11-28 | 2021-04-20 | Toyota Jidosha Kabushiki Kaisha | Vehicle stability control device |
| EP4306339A1 (en) | 2022-07-14 | 2024-01-17 | Toyota Jidosha Kabushiki Kaisha | Information processing device, vehicle, information processing method, and non-transitory storage medium |
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
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| JP2008049776A (en) * | 2006-08-23 | 2008-03-06 | Denso Corp | Traveling state monitoring device for vehicle |
| JP2009292434A (en) * | 2008-06-09 | 2009-12-17 | Yokohama Rubber Co Ltd:The | Abrasion state estimation method for tire and its device |
| JP2010215195A (en) * | 2009-03-19 | 2010-09-30 | Hitachi Constr Mach Co Ltd | Vehicle with tire wear determining device |
| US8319621B2 (en) | 2009-03-19 | 2012-11-27 | Hitachi Construction Machinery Co., Ltd. | Vehicle having tire wear evaluation system |
| JP2018158722A (en) * | 2017-03-23 | 2018-10-11 | ザ・グッドイヤー・タイヤ・アンド・ラバー・カンパニー | Model based tire wear estimation system and method |
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| EP4306339A1 (en) | 2022-07-14 | 2024-01-17 | Toyota Jidosha Kabushiki Kaisha | Information processing device, vehicle, information processing method, and non-transitory storage medium |
| EP4424569A2 (en) | 2022-07-14 | 2024-09-04 | Toyota Jidosha Kabushiki Kaisha | Information processing device, vehicle, information processing method, and non-transitory storage medium |
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