Monitoring Systems for Tire Performance

A tire monitoring system that improves driver safety by detecting tire damage and notifying the driver. The system uses embedded sensors in the wheel well that can detect foreign objects like nails and debris embedded in the tire tread. The sensors connect to an internal display panel in the vehicle cabin. When a sensor detects a puncture or protrusion, it alerts the driver via the panel. The sensors have protective housings with thermoset exterior layers to shield against road hazards. The system allows immediate warning of tire issues without relying solely on pressure changes.

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Wireless system for monitoring sealant and tire pressure in tubeless tires. The system uses an embedded sensor module with sealed contacts that detect sealant level by measuring conductivity between the contacts. The sensor also measures tire pressure. A wireless transmitter sends the data outside the tire. This allows real-time monitoring and alerts for low sealant or pressure levels without needing internal battery or wires.

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Aircraft tire pressure monitoring system that enables automated configuration and compatibility checking of tire sensors to reduce setup time and improve security. The system allows a central control device to send configuration commands to individual tire sensors, but the sensors have the ability to request and receive configuration data from the control device. This allows the sensors to initiate and control the configuration process instead of passively receiving it. The sensors can also compare the received configuration data with stored compatibility information to validate and execute commands. This prevents unauthorized devices from injecting malicious configurations and ensures compatibility between devices.

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Retrofit tire pressure monitoring system that reduces battery drain and improves reliability by optimizing data transmission. The system uses proximal sensing instead of continuous transmission. Each tire sensor has a receiver to detect when a user device approaches. When a user device proximal to a sensor, the sensor sends an alert signal to the vehicle's display indicating a tire check was done. This eliminates unnecessary regular transmission of absolute tire pressures. The display confirms tire checks based on user proximity instead of needing to program multiple pressure values.

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Automatic vehicle tire air pressure monitoring, warning, and maintenance system that provides continuous monitoring, visual and auditory warnings, and automatic inflation when tire pressure drops below a threshold. The system has a compressor connected to each wheel rim via an air line. When a tire's pressure falls below a safe level, the compressor adds air to inflate the tire. The driver is warned visually and audibly about low tire pressure. The system also detects wheel hub separation from the rims and alerts the driver if that occurs.

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Tire monitoring system that accurately and economically determines the position of a tire on a vehicle using sensors on the tire and vehicle. The system has a tire sensor with a footprint length measurement and memory to store tire ID. The vehicle sensor measures lateral and longitudinal acceleration. The processor receives the footprint length, ID, accelerations, estimates virtual footprint from accelerations, correlates actual vs virtual, and uses rules to determine tire position based on correlation.

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Automatically detecting swapped tires on vehicles using existing tire sensor signals without dedicated tire swap signals. The method involves training a machine learning algorithm using initial tire positions and signal signatures. The algorithm classifies new tire position and signal signatures as matching or not matching the initial setup. If not matching, it indicates a tire swap. The control unit receives tire sensor signals, extracts signatures, and feeds them to the trained algorithm for tire swap detection. This allows robust and scalable tire swap detection using existing tire sensor hardware without additional swapping sensors.

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Adaptive tire pressure management system that optimizes tire pressure based on factors like weather, road conditions, driving habits, and energy levels. The system monitors tire pressure, weather, and road conditions. It then determines the optimal tire pressure for safety and performance in those conditions. The system can adjust tire pressure in real-time while driving or before reaching specific locations. This allows optimizing tire pressure throughout a trip based on changing conditions.

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Functional component assembly for tire pressure monitoring systems (TPMS) that provides improved damage resistance compared to prior art designs. The assembly has a support body attached to the tire inner surface to hold a TPMS sensor. The sensor is fixed inside the support body using locking protrusions and recesses. The locking protrusions have specific dimensions and locations to prevent sensor falling out. This configuration provides secure retention of the sensor while allowing easy insertion and removal. The sensor has a columnar shape matching the support body's cylindrical housing. The locking protrusions spiral around the housing and sensor to provide stable fixation. The support body rubber has elongation and modulus properties that balance workability, holding force, and breakage resistance.

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A method for regulating vehicle tire pressure that provides safe, cost-effective tire pressure control tailored to different vehicles, users, and environments. It involves dynamically selecting from multiple tire pressure modes based on vehicle speed, weather, route, road conditions, energy state, etc. Some modes adjust tire pressure based on speed for optimal performance. Other modes have fixed or customized pressures. A machine learning algorithm updates a specific mode for repeated routes based on acceleration. This allows optimized tire pressures for specific conditions.

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Tire position identification system for vehicles that accurately determines the location of sensors on vehicle tires without requiring frequent communication or complex techniques. The system uses footprint length measurement sensors on the tires to calculate mean footprint lengths when the vehicle is stationary or cruising. By comparing the means, it determines which tire has the longer footprint and identifies its position on the vehicle. This avoids issues like rotation, replacement, and power constraints of other methods.

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Automatically identifying the position of tire sensors on a vehicle without user input or interactions. The technique uses tire footprint length to determine the wheel position of the tire sensor devices in real time during normal driving. It analyzes acceleration coefficients from the tire sensor data to determine the turning direction without needing GPS or other vehicle-based positioning systems. This allows accurate assignment of tire sensor locations without requiring manual entry or external positioning devices.

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A tire pressure monitoring system that reduces power consumption and eliminates the need for sensor ID learning. The system uses passive RFID tags on the tires to transmit tire pressure instead of battery-powered sensors. A nearby RFID reader receives the tire pressure data when the tag is close enough. When the tag moves away, the reader stops receiving. This avoids repeated transmissions. The system also prevents false learning of IDs from nearby vehicles by only learning when close and not traveling.

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A rubber patch for mounting sensors inside tires that provides a simple, inexpensive, and functional way to attach sensors to tires without interfering with their performance. The patch has blind holes with walls that taper inward. This allows the sensors to be inserted into the holes without tools, and the tapered walls hold them securely. The patch adheres directly to the inner liner of the tire, keeping the sensors in contact with the tire for accurate sensing. The patch dimensions are minimized to minimize interference with sensor readings.

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Predicting road surface conditions like wet or dry based on estimated tire forces to enable vehicles to adapt their control systems for optimal performance and safety on different road types. The method involves estimating tire tractive forces using vehicle data like engine torque, speed, acceleration, etc. When the vehicle is steady, these forces are used as inputs to a trained road condition detection model along with speed. The model outputs a probability of wet or dry road based on the estimated forces, which can be used by other vehicle systems to adjust braking, stability, suspension, etc. accordingly.

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Detecting when a tire rotation is needed for a vehicle using onboard sensors to monitor tire rolling radius and recommending tire rotations based on the difference in rolling radius between the front and rear tires. The system compares the rolling radius difference to a threshold and notifies the driver when it exceeds the threshold, indicating that a tire rotation is recommended. This allows optimizing tire wear by moving the less worn tires to the positions that will wear down faster.

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Discriminating between tire sensors and RFID tags on a vehicle wheel to properly associate them during assembly. The method involves receiving sensor signals with activation status and RFID tags. It determines which sensor belongs to a wheel based on the activation statuses to prevent confusion when multiple sensors transmit simultaneously. This allows correct association of tire sensors and RFID tags during wheel assembly in noisy environments.

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A tyre monitoring sensor for vehicles that reduces cost by using an ultra-wideband (UWB) device that can switch between sensing, communication, and ranging modes. The sensor can measure tyre properties, transmit data, and determine its location on the vehicle using UWB. This eliminates the need for separate components to perform these functions. The sensor alternates between sensing, communicating, and ranging modes. After initial ranging to associate the sensor with a wheel, it only ranges on user input.

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<div>This study introduces an innovative intelligent tire system capable of estimating the risk total hydroplaning based on water pressure measurements within tread grooves. Dynamic represents important safety concern influenced by depth, design, and vehicle longitudinal speed. Existing systems primarily assess using wedge effect, which occurs predominantly in deep conditions. However, shallow water, is far more prevalent real-world scenarios, effect absent at higher speeds, could make existing unable to reliably risk. Groove flow a key factor dynamics, it governed two mechanisms: interception rate pressure. In both cases, groove will increase as result increasing speed for constant depth. Therefore, grooves also approaches critical Unlike conventional systems, proposed design utilizes amplitude shape measured signals from Experimental results indicate that peak increases with hydroplaning. Furthermore, overall signal be By addressing limitations current offers robust solution real-time estimation across diverse driving conditions.</div>

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This study aims to develop a low-cost and energy-efficient Tire Pressure Monitoring System (TPMS) that provides real-time monitoring of tire pressure temperature using IoT-based wireless communication. The system was built the MS5803-14BA sensor, ESP32-C3 microcontroller, ESP-NOW protocol. Performance tested through laboratory real-world scenarios compared two commercial TPMS systems (Level A B). proposed achieved 95.91% accuracy, closely aligning with Level (99.87%) slightly outperforming B (95.35%). It showed highest sensitivity (10.00%) while maintaining stable readings (6.45%). In contrast, exhibited greater fluctuation (9.68%). protocol enabled reliable, low-power data transmission without interference. developed delivers high accuracy in detecting conditions real time demonstrates superior power efficiency environmental stability, making it strong alternative traditional RF-based solutions. can be integrated into smart vehicles or fleet management platforms, enhancing safety alerts enabling predictive maintenance. Future enhancements will include broader IoT connectivity, impro... Read More

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