TPMS Wheel Position Assignment Using Bluetooth Sensor Timing
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Solution Overview
Problem
Existing tire pressure monitoring systems require user input or inefficient autolocation methods to assign tire pressure monitoring units to vehicle wheel positions, lacking speed and reliability.
Innovation Solution
The central unit utilizes acceleration sensor data from tire pressure monitoring units to differentiate wheel positions by analyzing wheel revolutions during specific driving conditions, such as cornering or acceleration, and communicates via Bluetooth to facilitate rapid and accurate assignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional autolocation methods are used to assign tire pressure monitoring units to wheel positions, then the system can identify wheel positions, but the process is slow and requires extended periods of travel to accumulate sufficient measurement data
Solution Approach 1:
The central unit proactively identifies suitable cornering situations and pre-triggers measurement cycles in advance. By detecting when the vehicle is entering a cornering maneuver (using acceleration sensor data showing lateral acceleration patterns), the system initiates data collection from tire pressure monitoring units before the cornering is complete, thereby reducing the total time needed for reliable position identification
Solution Approach 2:
Instead of waiting for extended periods to accumulate measurement data under all driving conditions, the system rapidly collects and evaluates measurement data during specific high-information events (cornering maneuvers). By focusing measurements on these critical moments where wheel position information is most distinguishable, the system rushes through the autolocation process efficiently without sacrificing accuracy
2Reliability
If measurement data is collected continuously over extended periods to ensure reliable wheel position assignment, then the accuracy of position identification improves, but the energy consumption and data processing load increase
Solution Approach 1:
The system performs measurements periodically only when triggered by specific driving conditions (cornering events) rather than continuously. The central unit monitors acceleration patterns and initiates measurement cycles only during these periodic high-information events, significantly reducing overall energy consumption while maintaining reliable position identification through targeted data collection
Solution Approach 2:
The system uses the vehicle's existing acceleration sensor data (already being collected for other vehicle dynamics purposes) to identify cornering events and trigger measurements. This self-service approach leverages available data to optimize measurement timing without requiring additional dedicated sensors or continuous high-power communication, thereby reducing energy consumption while maintaining reliability
3Measurement precision
If the central unit waits for natural driving conditions to occur for autolocation, then the system can accurately distinguish wheel positions, but the process cannot be initiated on demand and may be delayed indefinitely
Solution Approach 1:
The central unit continuously monitors acceleration sensor data to detect cornering events and uses this feedback to automatically trigger measurement cycles. This closed-loop feedback mechanism ensures that measurements are initiated precisely when the vehicle enters a cornering maneuver, maintaining high position differentiation accuracy while allowing the system to respond automatically to driving conditions without manual intervention
Solution Approach 2:
The system dynamically adapts its measurement initiation based on real-time detection of cornering events. Rather than using a fixed schedule or manual trigger, the system flexibly initiates measurements when the dynamic driving conditions (lateral acceleration patterns indicating cornering) are right, optimizing both accuracy and operational responsiveness
Data Source
AI summary
A method is described for assigning tire pressure monitoring units of a vehicle's tire pressure monitoring system to the various positions where a wheel is mounted on the vehicle, wherein the tire pressure monitoring units each contain a pressure sensor, at least one acceleration sensor and a transmitter, the transmitter transmits data obtained during operation from measurements of the pressure sensor and the at least one acceleration sensor together with a characteristic identifier of the tire pressure monitoring unit, the tire pressure monitoring system contains a central unit that receives transmissions from the tire pressure monitoring units and, by evaluating the data contained therein, assigns the characteristic identifiers of the various tire pressure monitoring units to each of the positions where a wheel is mounted on the vehicle.According to the invention, the central unit communicates with the tire pressure monitoring units via Bluetooth and selects times at which the tire pressure monitoring units are to take measurements with their at least one acceleration sensor, and then communicates these times to some or all of the tire pressure monitoring units and requests measurement results for these times.