WO2024056319A1 - Procédé de détermination d'un rayon dynamique compensé d'une roue d'un véhicule, procédé d'estimation de la profondeur d'une bande de roulement d'un pneumatique et véhicule automobile pour mettre en œuvre lesdits procédés - Google Patents
Procédé de détermination d'un rayon dynamique compensé d'une roue d'un véhicule, procédé d'estimation de la profondeur d'une bande de roulement d'un pneumatique et véhicule automobile pour mettre en œuvre lesdits procédés Download PDFInfo
- Publication number
- WO2024056319A1 WO2024056319A1 PCT/EP2023/072850 EP2023072850W WO2024056319A1 WO 2024056319 A1 WO2024056319 A1 WO 2024056319A1 EP 2023072850 W EP2023072850 W EP 2023072850W WO 2024056319 A1 WO2024056319 A1 WO 2024056319A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- vehicle
- dynamic radius
- wheel
- values
- tire
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Ceased
Links
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60C—VEHICLE TYRES; TYRE INFLATION; TYRE CHANGING; CONNECTING VALVES TO INFLATABLE ELASTIC BODIES IN GENERAL; DEVICES OR ARRANGEMENTS RELATED TO TYRES
- B60C11/00—Tyre tread bands; Tread patterns; Anti-skid inserts
- B60C11/24—Wear-indicating arrangements
- B60C11/246—Tread wear monitoring systems
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/12—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to parameters of the vehicle itself, e.g. tyre models
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60C—VEHICLE TYRES; TYRE INFLATION; TYRE CHANGING; CONNECTING VALVES TO INFLATABLE ELASTIC BODIES IN GENERAL; DEVICES OR ARRANGEMENTS RELATED TO TYRES
- B60C2200/00—Tyres specially adapted for particular applications
- B60C2200/04—Tyres specially adapted for particular applications for road vehicles, e.g. passenger cars
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2520/00—Input parameters relating to overall vehicle dynamics
- B60W2520/10—Longitudinal speed
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2520/00—Input parameters relating to overall vehicle dynamics
- B60W2520/28—Wheel speed
Definitions
- TITLE Method for determining a compensated dynamic radius of a wheel of a vehicle, method for estimating the depth of a tread of a tire and motor vehicle for implementing said methods
- the field of the present invention is that of wheel tires of a motor vehicle.
- the invention relates to a method for determining a compensated dynamic radius of a wheel of a vehicle, a method for estimating the depth of a tread of a tire and a vehicle automobile to implement said processes.
- the tire has at its outer surface a zone called a "tread", corresponding to the outer surface of the tire which is in contact with the road.
- the tread includes a relief, also called “sculpture”, making it possible in particular to evacuate rainwater, snow, dust, heat, in order to limit the loss of grip of the tire or avoid aquaplaning.
- wear indicators in the form of a colored label integrated into the tread. As the tread comes into contact with the road, the tire wears and its thickness decreases until the tire wear indicator is revealed.
- the tire 1, loaded is deformed at the level of the contact zone between the tire 1 and the ground 3, at the level of its tread.
- the radius of the tire 1 is defined by the radius under load R c , which corresponds to the distance between the axis of rotation 5 of the wheel and the ground 3.
- the radius under load R c is less than the nominal radius R n , defined by the radius of the tire when the wheel is not loaded, that is to say excluding assembly in the vehicle.
- the distance traveled by the tire 1 differs depending on whether we consider the nominal radius or the radius under load.
- the length developed by the radius under load R c over one revolution of the wheel is thus less than that obtained by the nominal radius Rn.
- the purpose of determining the dynamic radius is to give a radius value closest to the actual distance traveled by the tire 1.
- the dynamic radius Rd yn of a wheel is the radius of the virtual wheel which would have point contact with the ground, with the same linear speed and the same rotation speed as the real wheel.
- Document EP2867036B1 discloses a solution aimed at quantifying the momentary dynamic radius by taking into account in part the state of wear of the tire.
- the method proposes to first measure a so-called “gross” dynamic radius, equal to the speed of the vehicle divided by the rotational speed of the wheel, then to compensate for this dynamic radius measurement according to current variables (i.e. measured at a given time) retained as influencing the value of the dynamic radius (in particular pressure, speed, square speed, load).
- the method described in this document also proposes to integrate compensation parameters representative of the state of wear of a tire into the calculation of the dynamic radius.
- a disadvantage of this solution is that the compensation parameters applied in the calculation algorithm apply systematically whatever the tire of a family considered, and this independently of any changes that there may be to the tire. during the life of the tire.
- the present invention aims to overcome the drawbacks of the prior art, and to do so relates to a method for determining a compensated dynamic radius of a wheel of a vehicle, said wheel comprising a tire and said vehicle comprising a set of sensors capable of acquiring signals representative of variables chosen from a group comprising at least: the speed of the vehicle, the speed of rotation of said wheel, the pressure of said tire, the load of said wheel, said compensated dynamic radius being a function :
- the compensated dynamic radius is also a function of compensation factors, specific to said variables considered and obtained by the execution of a learning phase according to which: - we acquire, when said vehicle is in operation, for each of said variables, sets of values of the raw dynamic radius as a function of the evolution of said variables,
- the present invention provides for acquiring online, that is to say during of the life of the tire mounted on the vehicle in operation, sets of values of the raw dynamic radius according to the evolution of the variables identified as influencing the value of the dynamic radius.
- the learning phase is executed continuously
- the acquisition step is carried out over a limited period
- the learning phase is initiated following a step of detecting one or more predefined trigger events
- the triggering events are chosen from a group comprising at least: a change in location of the wheel, a change of wheel or a tire on the same axis, detection of change in driving habits of the vehicle, aging of the tires , overload situation detected when a predetermined overload threshold has been exceeded over a predetermined period, overspeed situation detected when a predetermined overspeed threshold has been exceeded over a predetermined period, predetermined minimum or maximum pressure threshold value reached by a pneumatic, expiration of a predetermined period of use;
- the process includes a monitoring phase initiated when no triggering event has occurred been previously detected and according to which, when said vehicle is in operation, over a limited period and for each of said variables, sets of values of the raw dynamic radius are acquired as a function of the evolution of said variables;
- the monitoring phase is subsequent to the learning phase and, to determine the compensated dynamic radius, the compensation factors acquired during said learning phase are used;
- the step according to which the compensation factors are calculated from each of the sets of acquired values is obtained by applying a multilinear regression to each of said sets of acquired values;
- the learning phase comprises, prior to the step of executing the multilinear regression, a severe filtering step, applied to the sets of acquired raw dynamic radius values;
- the monitoring phase includes a “mild” to “moderately severe” filtering step, applied to the sets of acquired raw dynamic radius values.
- the invention also relates to a method for estimating the depth of a tread of a tire, remarkable in that the depth of said tread is estimated from a temporal variation of the compensated dynamic radius determined according to the invention.
- the invention also relates to a motor vehicle comprising hardware and/or software means for implementing the methods according to the invention.
- FIG. 1 is a schematic view of a tire on a vehicle wheel.
- FIG. 2 details the steps of the method for determining a compensated dynamic radius of a wheel of a vehicle according to the invention.
- FIG. 3 is a graph representing the dynamic radius values acquired as a function of the pressure measured for one of the vehicle's tires.
- FIG. 4 is a graph representing the dynamic radius values acquired as a function of the vehicle speed measured for one of the vehicle tires.
- FIG. 5 is a graph representing the dynamic radius values acquired as a function of the pressure and speed measured for one of the vehicle tires.
- FIG. 6 is a graph showing an example of linear regression applied to the dynamic radius values acquired as a function of the measured pressure values.
- FIG. 7 is a flowchart showing an example of an algorithm that can be implemented to execute the method for determining a compensated dynamic radius of a wheel of a vehicle according to the invention.
- the method for determining a compensated dynamic radius of a wheel of a vehicle according to the invention is implemented in a vehicle (not shown in the figures) equipped with hardware and software means adapted to implement said process.
- the software means comprise computer program code means, including in particular the algorithm implemented to execute the method of the invention.
- the hardware means comprise a set of dedicated sensors capable of acquiring signals representative of physical variables identified as influencing the value of the dynamic radius.
- These variables are chosen from a group comprising at least: the speed of the vehicle, the speed of rotation of said wheel, the pressure of said tire, the load of said wheel.
- the speed of the vehicle can be acquired by a positioning system, known under the name “GPS” (English acronym for “Global Positioning System”).
- GPS Global Positioning System
- the rotational speed of the wheel can be provided by a wheel speed sensor, known under the name “WSS” (English acronym for “Wheel Speed Sensor”).
- WSS Wheel Speed Sensor
- the pressure is provided by a tire pressure monitoring system, known under the name “TPMS”, an acronym for “Tire Pressure Monitoring System”.
- the charge can be provided by calculating data from the TPMS system.
- Other variables can also be monitored using sensors known to those skilled in the art, such as temperature, square speed, wheel torque, and the footprint quotient of the wheel on the ground.
- the compensated dynamic radius of the wheel is a function of:
- the method which is the subject of the invention provides for obtaining the compensation factors by executing learning phases initiated throughout the life of the tire.
- Figure 2 details the steps of a learning phase of the method of the invention.
- the learning phase comprises a first step E1 of acquiring signals, followed by a second step E2 of calculating the compensation factors from the acquired signals.
- the signal acquisition step E1 aims to acquire, when said vehicle is in operation, for each variable identified as influencing the value of the dynamic radius, sets of values of the raw dynamic radius as a function of the evolution of these variables.
- a three-dimensional point cloud is obtained, representing the values of the dynamic radius as a function of the pressure values measured over a given period and as a function of the vehicle speed values over a given period. . These values are acquired for all of the vehicle's tires (the values relating to a single tire are illustrated in Figure 5).
- step E2 is initiated, according to which the compensation factors specific to each variable are calculated from each of the sets of acquired values.
- This calculation step is executed by means of mathematical functions including in particular a multilinear regression, applied to each set of acquired values.
- step E2 the algorithm which determines the value of the compensation factor for the variable considered (step E2) is recursive, which means that the calculation is updated after each new measurement. More precisely, step E2 is an intermediate update iteration of the compensation factor considered. Step E2 is applied as many times as necessary until the end of learning conditions are reached. The value of the compensation factor from the last iteration then becomes the value retained for calculating the compensated dynamic radius.
- the compensation factor retained for the pressure and for the tire considered is then equal to 0.18 mm/10kPa.
- Rdyn comp I th compensated dynamic radius of the wheel
- V vehicle is the momentary speed of the vehicle and a) is the momentary rotational speed ai of said wheel, where a i ,-comp is the comp i ⁇ ensation factor pi ⁇ rop i ⁇ re to the variable i considered , ' where Ki is a momentary value of the variable i considered, where K ⁇ L ref . is a reference value of the variable i considered.
- the compensated dynamic radius is calculated by the following formula: Or :
- Rdyn comp I th compensated dynamic radius of the wheel
- V is the momentary speed of the vehicle
- a) is the momentary rotation speed of said wheel
- Vcom P is the vehicle speed compensation parameter
- Vref is a reference value for vehicle speed
- P is the momentary tire pressure of the wheel
- Pcom P is the wheel tire pressure compensation parameter
- Pref is a reference value of the tire of the wheel
- Lcom P is the wheel load compensation parameter
- Lef is a reference value for the wheel load.
- the step of calculating the compensation factors during the learning phase can be completed by a filtering step initiated prior to the step of executing the multilinear regression.
- the type of filtering can be so-called “severe” filtering and is applied to the sets of values of the raw dynamic radius acquired as a function of the variables considered, this in order to guarantee learning with input signals which are the most possible.
- the filtering is obtained using a statistical criterion related to the average standard deviation of the dynamic radius. To do this, we choose to reject an instantaneous value of the dynamic radius when it deviates from a predetermined value based on this standard deviation.
- test results demonstrate that the standard deviation for “severe” filtering is equal to 0.5 millimeters.
- so-called “severe” filtering rejects dynamic radius values that deviate by +/- 1.5 millimeters from the current average.
- the acquisition step (step E1) can be executed over a limited period.
- the learning phase can be initiated following the detection of triggering events.
- these triggering events are notably chosen from a group comprising at least:
- the change in vehicle driving habits is data which can be determined by different technical means linked to the operation of the vehicle,
- the compensation factors used for calculating the compensated dynamic radius are then those acquired and stored during the learning phase.
- the monitoring phase is therefore preferentially after the learning phase.
- a less severe filtering than that applied for the learning phase is applied to the sets of acquired raw dynamic radius values. This is a so-called “mild” to “moderately severe” filtering.
- “mild” to “moderately severe” filtering is applied using a statistical criterion related to the average standard deviation of the dynamic radius, rejecting an instantaneous value of the dynamic radius when this deviates from a predetermined value based on this standard deviation.
- the acquisition step (step E1) can be executed continuously.
- the learning phase there is no longer any need for a trigger to initiate the learning phase.
- Learning is then continuous, which means that there is no distinction between the learning phase and the monitoring phase.
- the compensation parameters are updated at each iteration and are directly taken into consideration for the calculation of the compensated dynamic radius.
- step E10 The algorithm runs in successive iterations. When the cycle reaches a new iteration, we evaluate the events that may have occurred since the last iteration (step E10).
- step E12 the signals representative of physical variables identified as influencing the value of the dynamic radius (corresponding to step E1 previously described) are acquired using dedicated sensors.
- step E13 The question of whether we are still in the learning phase is asked again (step E13). A priori, if an event which triggered a learning phase has been detected beforehand, then the probability that we are still in the learning phase is high.
- step E2 of the method of the invention If the answer is yes, then the step according to which the compensation factors are calculated is initiated (step E2 of the method of the invention).
- Severe filtering can be applied to the sets of values of the raw dynamic radius acquired as a function of the variables considered (step E14).
- the multilinear regression is then applied to the values of the dynamic radius acquired as a function of the variables considered, in order to deduce the compensation factors (step E15).
- the algorithm then asks the question of whether end-of-learning conditions have been reached (step E16).
- step E17 we store the compensation factors (step E17) and we move on to a monitoring phase (step E18).
- the algorithm then returns to the initial step and a new iteration is initiated with the acquired compensation factors stored in step E17.
- step E10 If no triggering event is detected (step E10), which is probably the case given that an end of learning step has previously been detected, we move on to step E12 of acquiring the signals , according to which signals representative of physical variables identified as influencing the value of the dynamic radius are acquired.
- the compensation factors used to calculate the compensated dynamic radius are then those acquired and memorized during the learning phase.
- a “mild” to “moderately severe” filtering can be applied to the sets of values of the raw dynamic radius acquired as a function of the variables considered (step E19).
- step E20 we apply the compensation factors stored during the learning phase to calculate the compensated dynamic radius.
- the temporal variation of the compensated dynamic radius measured by the method which has just been described is used in order to estimate the depth of the tread of a tire.
- the vehicle (not shown in the figures) comprises hardware and/or software means making it possible to implement the method according to the invention for estimating the depth of a tread of a tire which is the subject of the invention.
- the software means may in particular comprise computer program code means, including in particular the algorithm adapted to carrying out the steps of the method for estimating the depth of a tire tread.
- the determination of the compensated dynamic radius may have interests other than that of estimating the depth of a tread of a tire, such as in particular that of allowing an estimation of the longitudinal speed of the vehicle or even that of an application linked to odometry, that is to say the precise estimation of the distance traveled.
- the present invention is not limited to the sole embodiments of this method for determining a compensated dynamic radius of a wheel of a vehicle, of this method for estimating the depth of a tread of a tire and of this vehicle for the implementation of said methods, described above only by way of illustrative examples, but on the contrary it embraces all the variants involving the technical equivalents of the means.
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- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Mathematical Physics (AREA)
- Transportation (AREA)
- Measuring Fluid Pressure (AREA)
- Control Of Driving Devices And Active Controlling Of Vehicle (AREA)
- Length Measuring Devices With Unspecified Measuring Means (AREA)
Abstract
Description
Claims
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| KR1020257004138A KR20250033295A (ko) | 2022-09-15 | 2023-08-18 | 차량의 휠의 보상된 동적 반경을 결정하는 방법, 타이어 트레드의 깊이를 추정하는 방법 및 상기 방법을 구현하기 위한 자동차 |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| FRFR2209277 | 2022-09-15 | ||
| FR2209277A FR3139753B1 (fr) | 2022-09-15 | 2022-09-15 | Procédé de détermination d’un rayon dynamique compensé d’une roue d’un véhicule, procédé d’estimation de la profondeur d’une bande de roulement d’un pneumatique et véhicule automobile pour mettre en œuvre lesdits procédés |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2024056319A1 true WO2024056319A1 (fr) | 2024-03-21 |
Family
ID=84568875
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/EP2023/072850 Ceased WO2024056319A1 (fr) | 2022-09-15 | 2023-08-18 | Procédé de détermination d'un rayon dynamique compensé d'une roue d'un véhicule, procédé d'estimation de la profondeur d'une bande de roulement d'un pneumatique et véhicule automobile pour mettre en œuvre lesdits procédés |
Country Status (3)
| Country | Link |
|---|---|
| KR (1) | KR20250033295A (fr) |
| FR (1) | FR3139753B1 (fr) |
| WO (1) | WO2024056319A1 (fr) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| FR3006242A1 (fr) * | 2013-06-04 | 2014-12-05 | Renault Sa | Procede et dispositif d'estimation d'un etat d'usure d'au moins un pneu de vehicule automobile |
| EP2867036B1 (fr) | 2012-10-01 | 2016-06-22 | Continental Automotive GmbH | Procédé, appareil de commande et système permettant de déterminer une profondeur d'une sculpture d'un pneumatique |
| EP3153374A1 (fr) * | 2015-10-09 | 2017-04-12 | The Goodyear Tire & Rubber Company | Procédé d'estimation des forces de pneu à partir des entrées de capteur accessible de bus can |
| US20170363515A1 (en) | 2016-06-15 | 2017-12-21 | Ford Global Technologies, Llc | Methods and apparatus for assessing tire health through monitoring effective tire rolling radius |
| US20210188017A1 (en) | 2018-08-06 | 2021-06-24 | Bridgestone Europe NV/SA [BE/BE] | Tread Wear Monitoring System and Method |
| WO2021247036A1 (fr) | 2020-06-05 | 2021-12-09 | Sensata Technologies, Inc. | Suivi amélioré de l'usure de la bande de roulement d'un pneu |
| US20210382185A1 (en) * | 2020-06-05 | 2021-12-09 | Toyota Jidosha Kabushiki Kaisha | Position estimation device and position estimation method |
-
2022
- 2022-09-15 FR FR2209277A patent/FR3139753B1/fr active Active
-
2023
- 2023-08-18 WO PCT/EP2023/072850 patent/WO2024056319A1/fr not_active Ceased
- 2023-08-18 KR KR1020257004138A patent/KR20250033295A/ko active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2867036B1 (fr) | 2012-10-01 | 2016-06-22 | Continental Automotive GmbH | Procédé, appareil de commande et système permettant de déterminer une profondeur d'une sculpture d'un pneumatique |
| FR3006242A1 (fr) * | 2013-06-04 | 2014-12-05 | Renault Sa | Procede et dispositif d'estimation d'un etat d'usure d'au moins un pneu de vehicule automobile |
| EP3153374A1 (fr) * | 2015-10-09 | 2017-04-12 | The Goodyear Tire & Rubber Company | Procédé d'estimation des forces de pneu à partir des entrées de capteur accessible de bus can |
| US20170363515A1 (en) | 2016-06-15 | 2017-12-21 | Ford Global Technologies, Llc | Methods and apparatus for assessing tire health through monitoring effective tire rolling radius |
| US20210188017A1 (en) | 2018-08-06 | 2021-06-24 | Bridgestone Europe NV/SA [BE/BE] | Tread Wear Monitoring System and Method |
| WO2021247036A1 (fr) | 2020-06-05 | 2021-12-09 | Sensata Technologies, Inc. | Suivi amélioré de l'usure de la bande de roulement d'un pneu |
| US20210382185A1 (en) * | 2020-06-05 | 2021-12-09 | Toyota Jidosha Kabushiki Kaisha | Position estimation device and position estimation method |
Also Published As
| Publication number | Publication date |
|---|---|
| FR3139753B1 (fr) | 2025-03-28 |
| FR3139753A1 (fr) | 2024-03-22 |
| KR20250033295A (ko) | 2025-03-07 |
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