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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A tire pressure monitoring system with an externally replaceable battery in the valve stem. The valve stem has a removable core that holds the battery. The sensor is separate from the stem. The stem connects to the sensor via spring-loaded terminals. This allows battery replacement without removing the tire or stem. The stem interior cavity retains the battery. The stem core removably secures the battery. The stem is separated from the sensor by a connector. The stem has a port for airflow. The battery provides power to the sensor inside the stem.

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A method to monitor wheel balance in vehicles using existing TPMS sensors without additional hardware. The method involves measuring the noise of the raw acceleration signal from each wheel and comparing the variation to detect unbalanced wheels. It uses the standard deviations of the acceleration signals transmitted by the TPMS wheel units. If the variation exceeds a threshold over multiple iterations, indicating simultaneous noise on both wheels, it's interpreted as a bad road rather than wheel imbalance. This prevents false warnings from road vibrations. The reference averages are reset if both wheels exceed a threshold simultaneously to avoid false warnings from road conditions.

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A tire pressure monitoring system that provides more accurate and contextual tire pressure alerts based on environmental conditions like temperature, humidity, and weather. The system uses sensor data from the tires along with external environmental data to determine if a tire pressure warning is necessary. This allows adjusting the threshold for what constitutes an underinflated tire based on factors like cold weather, rain, and snow. The goal is to avoid false positives and unnecessary alerts in certain conditions where slight pressure drops may be normal.

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Tire management system that can acquire tire condition information when a vehicle visits specific locations like service stations, and store it for later analysis. This allows diagnosing tire issues based on acquired data instead of relying solely on real-time monitoring. The system can also provide guidance to nearby repair shops, coupons for reduced fees, or route information to the closest service center when abnormalities are detected.

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A tire wear estimation system that accurately and reliably estimates tire wear state using easily obtained and accurate parameters, and which can operate independently of the vehicle CAN bus. The system involves mounting sensors on the tire to measure footprint length and shoulder length, as well as tire pressure and temperature. This data, along with tire identification, is used to predict tire wear using an analysis module.

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Power-saving tire pressure monitoring system that reduces energy consumption by intelligently controlling the sensor operation based on vehicle acceleration and time of day. The system has a microcontroller that monitors sensors like pressure, temperature, and acceleration. It uses a real-time clock to determine the time and day. The microcontroller puts the sensor system into a sleep state when the vehicle is stationary or at night to save power. It wakes up the sensors when acceleration indicates driving or it's daytime. This allows the system to operate without affecting the warning function while minimizing power consumption.

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Monitoring device and method for detecting internal temperature of dangerous spots in mining tires to prevent blowouts and damage. The device involves installing an intelligent tire sensor inside the tire lining. It connects to a vehicle terminal. The method involves monitoring the sensor readings to detect abnormal temperatures in critical areas like belt joints. Early warning and remote alarm are provided to prevent tire failures. This addresses limitations of surface temperature monitoring, lack of internal sensors, and manual intervention.

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Intelligent tire monitoring system for vehicles that provides accurate tire performance monitoring and optimization to improve safety, comfort, and longevity of tires. The system uses separate modules for driving and non-driving wheels that monitor parameters like pressure, temperature, acceleration, and sound. It alerts to abnormal wear, tread status, and overload. The system can adjust tire parameters like pressure and temperature based on conditions to optimize performance. It also predicts tire safety, comfort, and grip in scenarios like wet roads or snow. This customized parameter feedback allows active tire tuning for optimal performance in various conditions.

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Tire pressure monitoring system for vehicles with multiple tires that improves reliability for long wheelbase vehicles with distant tires. The system uses a master sensor near the vehicle's electronics and slave sensors further out. The master initiates tire pressure sensing and commands the slaves to measure. The slaves transmit data wirelessly to the master which then sends it to the central processing unit. This reduces attenuation compared to direct transmission from faraway sensors. If a sensor detects a fault, it sends an alert on a separate frequency to avoid interference.

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Handheld device for quickly analyzing tire condition by capturing detailed images of the tread, sidewalls, and other tire features. The device uses cameras and sensors to create 3D models of the tire surface, measure tread depth, and detect anomalies. It provides real-time feedback and warnings for wear, damage, alignment issues, etc.

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A tire pressure detection system with separated antennas that can transmit tire pressure data to vehicle systems and personal devices like smartphones. The system uses both radio frequency (RF) and Bluetooth signals from separate antennas in the tire pressure sensors. The RF antenna transmits to the vehicle's tire-pressure monitoring system, while the Bluetooth antenna transmits to external devices like smartphones. This eliminates the need for a separate signal converter in the vehicle and allows a direct display of tire pressure on personal devices.

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Estimating tire wear using tire-mounted sensors and predictive models to provide accurate and reliable estimation of tire wear. The system uses tire sensors to generate one predictor of wear, and a lookup table or database to provide a second predictor including vehicle effects. These predictors are input into a model like an Artificial Neural Network to estimate tire wear rate.

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Automatic tire pressure monitoring system that tops up vehicle tires when they are under-inflated. It uses pressure sensors in the wheels to monitor tire pressure and a compressor to add air when needed. When a tire is below a safe level, the system activates the compressor to fill it to the proper pressure and maintain it there. The driver is warned if any tires are low.

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A retightening notification system that alerts vehicle users to retighten wheel bolts. It uses a travel distance sensor to track how far a vehicle has traveled since the wheels were last tightened. When this distance exceeds a threshold specific to the vehicle, it triggers a notification to retighten the wheel bolts. This prevents loose bolts from causing wheels to come off while driving.

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A system that predicts tire wear to enable proactive fleet management tasks like maintenance and replacements. The system uses a hierarchical data structure to aggregate historical tire tread values based on various parameters like vehicle, tire model, driver, route, etc. When current tread values are provided, the system matches them with similar historical values to predict wear rates.

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Tire-pressure monitoring system with automatic tire positioning for vehicles. The system uses phase angle differences between tire sensors and receiver antennas to accurately determine the horizontal and longitudinal positions of tires on a vehicle. This allows the tire sensors to be automatically positioned after installation without manual input or calibration.

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A tire sensor assembly combined with an internal wheel balancer for vehicle tires. The assembly includes a tire sensor like a TPMS system along with an internal wheel balancer belt containing loose balancing media like steel shot. The sensor and balancer are combined inside the tire to provide monitoring and balancing functions in one unit. The balancer belt extends around the tire circumference and includes couplers to join the ends. The interior cavity holds the balancing media.

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Handheld device and method for obtaining a 3D profile of a tire surface to inspect tread depth, tire wear, alignment, and other characteristics. The device projects a pattern of light onto the tire surface, images the pattern using a camera as it rolls over the tire on guide wheels, and uses rotation encoding to build a 3D topological profile of the tire.

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A method to detect a change in the location of vehicle wheels using existing tire pressure monitoring systems (TPMS) that have wheel units on each tire and a central unit. The method involves emitting and recording patterns of messages from the central unit to each wheel unit when the vehicle is running. These patterns are then compared over time to see if the wheel location has changed.

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Indirect tire pressure monitoring using wheel speed sensors that estimate tire pressure changes by analyzing changes in wheel speed. This is done by determining a "decompression determination indicator" based on wheel speed changes when the tire pressure decreases. The indicator is then compensated for turning using the wheel speed information alone. This allows distinguishing tire pressure changes from turning versus actual deflation. The compensated indicator is then used to determine if the tire is deflating.

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A method and system to monitor vehicle tire conditions using acoustic analysis. The method involves analyzing the frequency spectrum of the tire's acoustic response when subjected to a mechanical stress pulse. By identifying specific spikes in the spectrum, information about tire pressure and load can be determined. The system includes a microphone inside the tire that wirelessly transmits the acoustic data to an external computer for analysis.

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A tire pressure management system for trucks and trailers that allows automatic tire inflation while driving. The system uses a central pressurized fluid source like an air tank on the vehicle to supply air to the tires. A rotary union mounted on the wheel hub allows the pressurized air to pass through to the tire without leaking. The union has bearings to enable rotation of the hub around the axle while maintaining a sealed connection.

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Monitoring system for self-inflating tires to detect and warn of tire defects rather than routine maintenance inflation. The system monitors the activity of the self-inflation system and other vehicle conditions to determine if the tire is in good condition. It warns the driver if the self-inflation system is working more than expected for a good tire.

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A pressure sensing assembly that can be easily attached to a bicycle wheel rim to quickly and easily detect and indicate the tire pressure. The assembly includes a housing that attaches to the rim and a pressure-sensing element inside the housing that measures the tire pressure. A pressure-transmitting member connects from the housing to the tire to transmit the pressure to the sensing element.

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Tire wear detection system that uses tire vibrations to estimate wear state. It extracts characteristics from tire vibrations on wet roads to detect wear even when the traditional method using acceleration waveforms fails. This allows detecting tire wear on all surfaces. The system estimates tire wear based on the vibration waveform peak at the time the tire contacts the road and after it separates.

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Wheel monitoring device for vehicles that continuously monitors wheel conditions like temperature, pressure, inclination, and deformation in real time to improve safety and prevent accidents. The device has a sensor module with strain gauges in the wheel hub cavity to measure deformation. The data is processed and displayed in the vehicle cabin. The monitoring system also has an alarm management module to set thresholds and levels for alerts.

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Tire temperature and pressure monitoring system that provides early warning of tire damage and fatigue. It uses a tire pressure sensor with adjustable monitoring cycle duration. When the tire encounters rough road conditions with significant height differences, the sensor increases the monitoring frequency to detect tire damage. When the tire experiences excessive vibrations above a threshold, the sensor reduces the monitoring frequency to conserve power. This dynamic adjustment balances real-time performance and low power consumption based on tire conditions.

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Communicating tire data between a vehicle tire and a remote computing device using a tire-mounted sensor and handheld tool. The tire sensor collects data like pressure and temperature and transmits it wirelessly. The handheld tool can read the tire sensor data and also measure tire properties like pressure.

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Intelligent monitoring tire that integrates flexible strain sensing devices inside the tire to detect tire state, wear, road conditions, and potholes during driving. The sensors are pasted on the inner surface of the tire and deform synchronously with the tire. A signal processor connected to the sensors transmits the deformation data wirelessly to a display device in the vehicle. Deep learning models analyze the tire data to identify conditions like wear, road type, and potholes. The vehicle can then actively adjust its operation based on the tire conditions for improved driving experience and safety.

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A tire with an integrated electronic sensor for measuring and indicating tread depth and wear. The tire has a tread wear sensor plug that is embedded in a tread groove and extends above the tread surface. The plug contains a conductive element with a resistance that changes as the tire wears down. This resistance change is monitored by electronic systems in the vehicle to determine the tread depth and wear of the tire. By integrating the sensor into the tire itself, it provides a direct and accurate measurement of tire wear that can be used for vehicle control and safety systems.

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