Cold check gas pressure readings for the landing gear tires of an aircraft are obtained automatically during normal operation of the aircraft. The automated system (S1, e.g.) includes monitoring aircraft data to determine that the aircraft is at rest on the ground (32,345,36), and electronically monitoring the tire pressure (24). When predetermined cold check conditions have been met; the tire pressure values are automatically stored with a timestamp (38) for later access by a user.

Examples of techniques for determining tire leak rate are disclosed. In one example implementation, a method includes receiving, by a processing device, temperature data, pressure data, tire characteristics, and an estimated leak rate associated with the tire. The method further includes calculating, by the processing device, a temperature normalized fused pressure after fusing the temperature data and the pressure data. The method further includes determining, by the processing device, the tire leak rate based at least in part on a decay of the temperature normalized fused pressure over time. The method further includes providing, by the processing device, an alert to an operator of the vehicle that a leak is detected based at least in part on a comparison between the tire leak rate and a leak rate threshold.

Systems and methods are disclosed herein for tire condition monitoring, and more particularly for detecting slow leakage of inflation pressure. Data acquisition devices (e.g., tire pressure monitoring system sensors) are mounted onboard motor vehicles and collect data samples corresponding to at least tire inflation pressure. The collected data samples may e.g. only be transmitted for analysis while the motor vehicle is in a fleet yard or otherwise wherein the contained air temperature effectively matches an ambient temperature. A time elapsed is calculated from a first data sample within a defined sampling period, and a statistical model is applied for at least the data samples corresponding to inflation pressure with respect to the time elapsed. A tire slow leak event is ascertained based on an evaluated amount of decrease in the inflation pressure from the statistical model, and an output signal is selectively generated corresponding to the ascertained slow leak event.

A dual tire pressure monitoring system (TPMS) and wheel torque sensor system generates a single wireless signal containing both tire pressure data and wheel strain data. The wheel strain data is functionally related to wheel torque. The dual sensor has a transceiver that generates the wireless signal for a remote controller. A body of the dual sensor is positioned on the interior of the wheel under the tire, near the valve stem. The wheel torque is used to control braking, propulsion or steering of a Highly Automated Driving (HAD) vehicle, and to improve vehicle stability control and vehicle diagnostics.

A tire pressure monitoring system monitors the pressure in at least one tire supporting a vehicle. The system includes at least one sensor mounted on the tire for measuring a pressure and a temperature of the tire. Transmission means transmit the measured pressure data and temperature data to a processor, and a tire pressure model is executed on the processor. The tire pressure model includes a driving event extractor to extract cold pressure data from the measured pressure data, and a temperature compensator to generate a compensated cold tire pressure from the cold pressure data. A noise filter filters sensor noise and generates a filtered cold tire pressure from the compensated cold tire pressure. A detection module receives the filtered cold tire pressure and determines an air pressure leak rate of the tire, and a leak notification corresponding to the air pressure leak rate is generated.

An apparatus, method and computer program product are provided for predicting tire temperature levels. In one example, the apparatus receives input data indicating a target route for a target vehicle, attributes associated with the target vehicle, and attributes of the target route and causes a machine learning model to generate output data as a function of the input data. The output data indicate prediction of tire temperature levels of the target vehicle during a period in which the target vehicle traverses the target route. The machine learning model is trained to generate the output data as a function of the input data based on training data indicating events in which vehicles traversed routes. Specifically, the training data include tire temperature levels of the vehicles, vehicle data associated with the vehicles, map data associated with the routes, and environmental data associated with the routes.

A method for detecting a displacement of a motor vehicle including a plurality of wheels each including a tire inflated by inflation gases, includes the steps of: periodically measuring (E1), at a standby frequency, the temperature of the inflation gases of the tire, comparing (E2) the values measured over a predetermined time interval for detecting movement of the vehicle, detecting (E3) a movement of the vehicle when the temperature of the inflation gases of the tire increases by at least a first predetermined temperature value during the predetermined time interval for detecting movement of the vehicle, and periodically measuring (E4), at an activation frequency higher than the standby frequency, the temperature of the inflation gases of the tire when a movement of the vehicle has been detected.

A tire pressure detector includes: an air pressure detector to repeatedly detect air pressure of a target tire; a transmission device to wirelessly transmit air pressure information about the air pressure detected by the air pressure detector; a reception device to receive the air pressure information transmitted by the transmission device; an estimation device to calculate, when the reception device receives the air pressure information on the identical target tire a plurality of times, an estimated air pressure based on a plurality of pieces of the latest air pressure information received by the reception device, the estimated air pressure being an estimated value of the air pressure at current time; and an alarm generation device to raise an alarm when the estimated air pressure becomes equal to or less than a specified threshold.

Examples of techniques for determining tire leak rate are disclosed. In one example implementation, a method includes receiving, by a processing device, temperature data, pressure data, tire characteristics, and an estimated leak rate associated with the tire. The method further includes calculating, by the processing device, a temperature normalized fused pressure after fusing the temperature data and the pressure data. The method further includes determining, by the processing device, the tire leak rate based at least in part on a decay of the temperature normalized fused pressure over time. The method further includes providing, by the processing device, an alert to an operator of the vehicle that a leak is detected based at least in part on a comparison between the tire leak rate and a leak rate threshold.

A tire inflation optimization apparatus configured to determine an optimum inflation pressure for a tire installed on an aircraft is disclosed. The apparatus includes a memory and a controller. The memory stores information relating tire gas properties to aircraft schedule parameters and a reference pressure for the tire. The controller is configured to receive future schedule information indicative of a future flight schedule for the aircraft and to determine an optimum inflation pressure for the tire based on the received future schedule information, the stored information relating tire gas properties to aircraft schedule parameters, and the stored reference pressure.