Patent classifications
B60C23/20
TIRE PERFORMANCE MONITORING SYSTEM
A tire performance monitoring system including: a tire monitoring device configured to obtain, values indicative of a tire parameter of a tire over a time period, the tire monitoring device comprising a local memory configured to store a performance coefficient corresponding to performance of the tire; and a processing system configured to determine a tire performance characteristic based on the values and the performance coefficient.
TIRE PERFORMANCE MONITORING SYSTEM
A tire performance monitoring system including: a tire monitoring device configured to obtain, values indicative of a tire parameter of a tire over a time period, the tire monitoring device comprising a local memory configured to store a performance coefficient corresponding to performance of the tire; and a processing system configured to determine a tire performance characteristic based on the values and the performance coefficient.
METHOD OF DETERMINING A TIRE PERFORMANCE CHARACTERISTIC OF A TIRE
A method of determining a tire performance characteristic of a tire. The method includes determining that a remote memory, remote from a tire monitoring device associated with the tire, is unavailable, and the remote memory is configured to store a performance coefficient of the tire corresponding to performance of the tire during a first time period. Where the remote memory is unavailable, the method includes either calculating the performance coefficient at a remote device or, obtaining, using the remote device, the performance coefficient from a local memory of the tire monitoring device. The method includes obtaining, using the remote device and from the tire monitoring device, a plurality of values indicative of a tire parameter of the tire during a second time period, and determining, at the remote device and based on the plurality of values and the performance coefficient, the tire performance characteristic.
METHOD OF DETERMINING A TIRE PERFORMANCE CHARACTERISTIC OF A TIRE
A method of determining a tire performance characteristic of a tire. The method includes determining that a remote memory, remote from a tire monitoring device associated with the tire, is unavailable, and the remote memory is configured to store a performance coefficient of the tire corresponding to performance of the tire during a first time period. Where the remote memory is unavailable, the method includes either calculating the performance coefficient at a remote device or, obtaining, using the remote device, the performance coefficient from a local memory of the tire monitoring device. The method includes obtaining, using the remote device and from the tire monitoring device, a plurality of values indicative of a tire parameter of the tire during a second time period, and determining, at the remote device and based on the plurality of values and the performance coefficient, the tire performance characteristic.
CONTROL SUBSYSTEM AND METHOD FOR DETECTING AND DIRECTING A RESPONSE TO A TIRE FAILURE OF AN AUTONOMOUS VEHICLE
A control subsystem, method and computer program product are provided to detect the failure of a tire of an autonomous vehicle (AV) and to direct a response to the tire failure that has been detected that is appropriate under the circumstances. In this regard, the control subsystem includes processing circuitry configured to receive signals from microphone(s) carried by the AV. The processing circuitry is configured to evaluate signal characteristics of the signals to identify signals indicative of a tire failure. In an instance in which a tire failure is identified, the processing circuitry is configured to determine a type of the tire failure based upon the signal characteristics. The processing circuitry is further configured to determine remedial action to be taken based at least in part upon the type of tire failure. Different remedial actions are determined to be taken for different types of tire failures.
CONTROL SUBSYSTEM AND METHOD FOR DETECTING AND DIRECTING A RESPONSE TO A TIRE FAILURE OF AN AUTONOMOUS VEHICLE
A control subsystem, method and computer program product are provided to detect the failure of a tire of an autonomous vehicle (AV) and to direct a response to the tire failure that has been detected that is appropriate under the circumstances. In this regard, the control subsystem includes processing circuitry configured to receive signals from microphone(s) carried by the AV. The processing circuitry is configured to evaluate signal characteristics of the signals to identify signals indicative of a tire failure. In an instance in which a tire failure is identified, the processing circuitry is configured to determine a type of the tire failure based upon the signal characteristics. The processing circuitry is further configured to determine remedial action to be taken based at least in part upon the type of tire failure. Different remedial actions are determined to be taken for different types of tire failures.
AIR PRESSURE MANAGEMENT DEVICE, AIR PRESSURE MANAGEMENT METHOD, AND AIR PRESSURE MANAGEMENT PROGRAM
An air pressure management device includes: a temperature conversion air pressure calculation unit that calculates a temperature conversion air pressure based on acquired temperature and air pressure of a tire; an air pressure decrease rate calculation unit that calculates an air pressure decrease rate from a change in the temperature conversion air pressure for a predetermined period, the rate indicating a declining trend of the air pressure; an air pressure decrease rate threshold value setting unit that sets an air pressure decrease rate threshold value corresponding to an acquired thermal history amount using a threshold value table, the threshold value table specifying the air pressure decrease rate threshold value associated with the thermal history amount regarding the tire; and a first determination unit that determines whether the air pressure is abnormal based on the calculated air pressure decrease rate and the set air pressure decrease rate threshold value.
Method and apparatus for automatic adjustment of a vehicle to a predetermined performance condition
A method for automatic adjustment of the performance of a vehicle may include detecting at least one significant physical quantity for checking the performance of the vehicle; defining at least one pair of reference indicators correlated with that physical quantity; saving at least one value of a said reference indicator in a predetermined nominal reference condition; detecting at least one value of a said reference indicator in a real operating condition of the vehicle; comparing said nominal reference indicator and real reference indicator and, if their values are different from each other, and implementing a correction of the driving power of the vehicle to compensate for the difference ascertained.
Method and apparatus for automatic adjustment of a vehicle to a predetermined performance condition
A method for automatic adjustment of the performance of a vehicle may include detecting at least one significant physical quantity for checking the performance of the vehicle; defining at least one pair of reference indicators correlated with that physical quantity; saving at least one value of a said reference indicator in a predetermined nominal reference condition; detecting at least one value of a said reference indicator in a real operating condition of the vehicle; comparing said nominal reference indicator and real reference indicator and, if their values are different from each other, and implementing a correction of the driving power of the vehicle to compensate for the difference ascertained.
THERMAL MONITORING OF TRAILERS
Monitoring a critical parameter of a trailer and issuing a severity warning including: monitoring the critical parameter to be within one of a plurality of bands and issuing a different level of the severity warning based on which band of the plurality of bands the critical parameter falls into, wherein the critical parameter includes at least one of tire pressure, tire temperature, and brake temperature; and increasing an alert level of the severity warning by one, every hour, when the monitored critical parameter indicates continuous increase or decrease over time.