A method of monitoring the pressure of a tire of an aircraft is disclosed including taking two or more pressure readings from the tire at different times; calculating an estimated deflation rate based on the pressure readings; and calculating a time for the tire to deflate to a reference pressure level based on the estimated deflation rate. Two or more temperature readings are each associated with one of the pressure readings, and the estimated deflation rate is calculated by normalising each pressure reading based on its associated temperature reading and a common reference temperature to obtain a temperature-normalised pressure reading, and calculating the estimated deflation rate based on the temperature-normalised pressure readings. The estimated deflation rate is compared with a threshold, and a warning provided if the estimated deflation rate exceeds the threshold.

An operating system for an automated vehicle includes a failure-detector and a controller. The failure-detector detects a component-failure on a host-vehicle. Examples of the component-failure include a flat-tire and engine trouble that reduces engine-power. The controller operates the host-vehicle based on a dynamic-model. The dynamic-model is varied based on the component-failure detected by the failure-detector.

An arithmetic model generation system includes a tire information acquisition unit, a position information acquisition unit, a wear amount calculator, and an arithmetic model update unit. The tire information acquisition unit acquires tire data including a temperature and pressure of a tire. The position information acquisition unit acquires position data for a vehicle on which the tire is mounted. The wear amount calculator includes an arithmetic model that generates an estimated wear amount of at least one groove of the tire, the wear amount calculator calculating the estimated wear amount of at least one groove of the tire by using the arithmetic model by inputting the tire data and the position data. The arithmetic model update unit updates the arithmetic model based on a wear amount measured by a tire measurement device external to the vehicle and the estimated wear amount.

A pressure sensing assembly configured to be attached to a bicycle wheel having a tire and a rim mounted to the tire. The pressure sensing assembly includes a housing, a pressure transmitting member, a sensing chamber defined by the housing and the pressure transmitting member, and a sensing element. The pressure transmitting member is coupled the housing and has a central portion offset from the plane in a first direction. The sensing element is offset from the plane in a second direction opposite the first direction. The pressure transmitting member is configured to transmit a pressure in the tire to the sensing element via the sensing chamber.

A valve assembly for a tire pressure control system used to control tire pressure of a vehicle has a unitary body and one or more valves. The unitary body has attachment points for mounting the unitary body to a vehicle wheel end, one or more valve cavities formed in the unitary body, and a plurality of air passages formed in the unitary body. The plurality of air passages have an air supply passage that is connectable to an air supply and a tire supply chamber for connecting to a tire of the vehicle. The air supply passage and the tire supply chamber are connected to each of the one or more valve cavities. Each valve has a valve element mounted to the valve cavity, an air supply chamber in communication with the air supply passage, and a tire supply chamber in communication with the tire supply passage.

A transmitter arranged in a tire includes a transmitting section, which has a terminal, and a pressure switch. The pressure switch includes a hollow box and a passage that causes an interior of the box and an interior of the tire to communicate with each other. The box includes a conductive deforming portion, which is separate from the terminal when the difference between the pressure in the box and the pressure in the tire is less than a predetermined value and is elastically deformed to contact the terminal when the pressure in the box is higher than the pressure in the tire at least by the predetermined value. The transmitting section transmits a warning signal that causes a tire pressure warning device to issue a warning in response to contact between the deforming portion and the terminal.

A method of monitoring the pressure of a tire of an aircraft is disclosed including taking two or more pressure readings from the tire at different times; calculating an estimated deflation rate based on the pressure readings; and calculating a time for the tire to deflate to a reference pressure level based on the estimated deflation rate. Two or more temperature readings are each associated with one of the pressure readings, and the estimated deflation rate is calculated by normalising each pressure reading based on its associated temperature reading and a common reference temperature to obtain a temperature-normalised pressure reading, and calculating the estimated deflation rate based on the temperature-normalised pressure readings. The estimated deflation rate is compared with a threshold, and a warning provided if the estimated deflation rate exceeds the threshold.

The invention concerns a tread wear monitoring method comprising a tread wear model calibration step (1) and a tread wear monitoring step (2), wherein the tread wear model calibration step (1) includes determining (13) a calibrated tread wear model based on tread-wear-related quantities and first frictional-energy-related quantities. The tread wear monitoring step (2) includes: acquiring (21), from a vehicle bus (40) of a motor vehicle (4) equipped with two or more wheels fitted, each, with a tire, driving-related quantities related to driving of the motor vehicle (4); computing (22) second frictional-energy-related quantities related to frictional energy experienced, during driving, by a given tire of the motor vehicle (4) by providing a predefined vehicle dynamics model that mathematically relates the acquired driving-related quantities to the second frictional-energy-related quantities, and computing the second frictional-energy-related quantities by inputting the acquired driving-related quantities into the predefined vehicle dynamics model; and performing a tread wear estimation (23) and a remaining tread material prediction (24) based on the second frictional-energy-related quantities computed and the calibrated tread wear model. The tread wear model calibration step (1) further includes: performing (11) tread wear tests on one or more tires; and measuring (12) tread-wear-related quantities indicative of tread depth reductions resulting from the performed tread wear tests, and first frictional-energy-related quantities related to frictional energy which the tested tire(s) is/are subject to during the performed tread wear tests. Determining (13) a calibrated tread wear model includes: providing a predefined reference tread wear model that mathematically relates frictional energy experienced by a tire along a driving route to tread wear caused by said frictional energy through given parameters; computing calibration values of the given parameters by inputting the measured tread-wear-related and first frictional-energy-related quantities into the predefined reference tread wear model; and determining the calibrated tread wear model by applying the computed calibration values in the predefined reference tread wear model.

The invention is based on a tire component (1) for a green tire (6), a rubber region (2) of the tire component (1) being made of rubber, at least one transmitting and receiving device (3) being arranged in the rubber region (2), the at least one transmitting and receiving device (3) being an electromagnetically acting transmitting and receiving device (3) and the at least one transmitting and receiving device (3) having at least one antenna (4), wherein the at least one antenna (4) is arranged on a carrier device (5).

A vehicle sink alert method and system that includes collecting image data, determining field conditions, calculating wheel sink depth, predicting vehicle sink events using wheel sink depth and field conditions, and activating an alert when a vehicle sink event is predicted. The method can include predicting vehicle sink events using GPS coordinates and historical vehicle sink data. The method can include determining and using vehicle motion to predict vehicle sink events. Predicting vehicle sink events can include forming a multi-dimensional model with positive sink points where vehicle sink events have occurred and negative sink points where vehicle sink events have not occurred; generating a current vehicle point using monitored and calculated data; determining whether the current vehicle point is within a positive sink region formed by the positive sink points; and predicting a vehicle sink event if the current vehicle point is within the positive sink region.