A control device is provided for a wheel-monitoring system of a vehicle which is equipped with vehicle wheels. At least one of the vehicle wheels is equipped with an electronic wheel unit, arranged thereon, for detecting at least one wheel operating parameter of the respective vehicle wheel for transmitting wheel operating data to the control device. The control device makes available an abnormality message in the event of an abnormality which is determined on the basis of the transmitted wheel operating data. The control device also takes into account position data relating to a current position of the vehicle for the determination of the abnormality.

A system (1) for the management of data pertaining to a wheel service comprises: a database (2) including, for each tyre of a plurality of tyres, a tyre identification code; at least one tyre measurement parameter representing a physical quantity linked to the tyre or to the use thereof, and a related time mark, which indicates the time the tyre measurement parameter was captured; a knowledge dataset (3) containing reference data; a processor (4) having access to the database (2) and to the knowledge dataset (3) and programmed to process the at least one tyre measurement parameter and the reference data and to generate derived data.

An intelligent tire monitoring system includes a tire body, a sheet-shaped conductive polymer sensor, a micro control unit, an RF unit, a computer, and an RF circuit. The sheet-shaped conductive polymer sensor is affixed to an inner liner layer at a middle portion of a tire crown. One end of the sheet-shaped conductive polymer sensor is connected to the micro control unit through the RF unit, and the other end of the sheet-shaped conductive polymer sensor is connected to the computer through the RF circuit. The computer includes a power supply module, a communication port, a display screen, an audible alarm, a press-key input module, and a processor. The state of the tire is comprehensively determined by matching or combining a strain amplitude of the tire crown and an operating temperature with a fitting function.

An intelligent tire monitoring system includes a tire body, a sheet-shaped conductive polymer sensor, a micro control unit, an RF unit, a computer, and an RF circuit. The sheet-shaped conductive polymer sensor is affixed to an inner liner layer at a middle portion of a tire crown. One end of the sheet-shaped conductive polymer sensor is connected to the micro control unit through the RF unit, and the other end of the sheet-shaped conductive polymer sensor is connected to the computer through the RF circuit. The computer includes a power supply module, a communication port, a display screen, an audible alarm, a press-key input module, and a processor. The state of the tire is comprehensively determined by matching or combining a strain amplitude of the tire crown and an operating temperature with a fitting function.

In a road surface condition determining device, when determining a road surface condition, a vibration detection unit, a waveform processing unit and a data transmission unit for implementing a sensing function and a data transmission function are not set continuously to an active state for all tire side device, but at least only one tire side device is set to an active state. Remaining one or more is set to a sleep state. A reduction in power consumption of the tire side devices set to the sleep state can thus be achieved. Further, with regard to the at least one tire side device, since the sensing function and the data transmission function remain in the active state, the road surface condition can be reliably determined based on the road surface data of the tire side device.

A sensor system for acquiring a perturbation, induced by a contact patch of a tire, in data generated by a sensor system mounted in the tire, comprises at least one sensor adapted for generating the data related to a physical property of the tire, and an acquisition system comprising memory. The sensor system is adapted for triggering the acquisition system to acquire the data and for storing it in a buffer in the memory, until a predefined delay after the perturbation is recognized. The perturbation is recognized by comparing the stored data with at least one characterizing feature of the perturbation.

A tire wear state estimation system includes a tire that supports a vehicle. A sensor unit is mounted on the tire and includes a footprint centerline length measurement sensor, a pressure sensor, a temperature sensor, and electronic memory capacity for storing identification information for the tire. A processor is in electronic communication with the sensor unit and receives the measured centerline length, the measured pressure, the measured temperature and the identification information. A tire construction database stores tire construction data and is in electronic communication with the processor. The identification information is correlated to the tire construction data. An analysis module is stored on the processor and receives the measured centerline length, the measure pressure, the measured temperature, the identification information, and the tire construction data as inputs. The analysis module includes a prediction model that generates an estimated wear state for the tire from the inputs.

A tire wear state estimation system includes a tire that supports a vehicle. A sensor unit is mounted on the tire and includes a footprint centerline length measurement sensor, a pressure sensor, a temperature sensor, and electronic memory capacity for storing identification information for the tire. A processor is in electronic communication with the sensor unit and receives the measured centerline length, the measured pressure, the measured temperature and the identification information. A tire construction database stores tire construction data and is in electronic communication with the processor. The identification information is correlated to the tire construction data. An analysis module is stored on the processor and receives the measured centerline length, the measure pressure, the measured temperature, the identification information, and the tire construction data as inputs. The analysis module includes a prediction model that generates an estimated wear state for the tire from the inputs.

A method for detecting a thermal anomaly during running of a tire-wheel assembly (3) of a vehicle (1) equipped with a mounting wheel (5) on which a pneumatic tire is mounted comprises the steps of measuring the internal pressure (P) and temperature (T) of the tire-wheel assembly (3) using a sensor (9) attached to the mounting wheel (5), calculating a monitoring ratio which is a function of the measured pressure and of the measured temperature, repeating the preceding steps and tracking the evolution in the value of the monitoring ratio in order to determine a thermal anomaly.

Embodiments included herein are directed towards a method for estimating tire load. Embodiments may include determining a tire pressure associated with a tire and determining a tire angular velocity associated with the tire. Embodiments may further include obtaining one or more tire stiffness coefficients and determining a tire radial deformation based upon, at least in part, a length of a tire ground contact patch or a contact patch angle.