TPMS Wheel Location Using Packet Interval Estimation
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Solution Overview
Problem
Existing tire pressure monitoring systems face challenges in precisely locating wheels equipped with wheel electronics due to clock imprecision and packet loss, leading to slower convergence and inaccurate wheel identification.
Innovation Solution
A method and device that determine time intervals between packets and provide estimated values to compensate for clock imprecision, allowing for more precise wheel location by comparing rotary angle information from wheel electronics with sensor data, enabling faster and more accurate wheel identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple packets are transmitted to compensate for packet loss, then reliability of wheel location is improved, but time consumption increases due to delayed reception and processing
Solution Approach 1:
The system pre-calculates and stores expected time intervals between packets in a look-up table during system initialization or calibration phase. When packets are received, the system immediately compares actual time intervals against pre-stored values to determine wheel position, eliminating the need for real-time complex calculations and enabling faster convergence even with multiple packet transmissions.
Solution Approach 2:
The system continuously monitors the time intervals between received packets and compares them against expected intervals from the look-up table. Based on this feedback comparison, the system dynamically determines the most likely wheel position and adjusts its estimation, improving both reliability and convergence speed by using real-time interval measurements to validate or correct position identification.
2Measurement precision
If time intervals between packets are used to compensate for clock imprecision, then measurement precision is improved, but device complexity increases due to additional processing requirements
Solution Approach 1:
Expected time intervals between packets are pre-calculated and stored in a look-up table based on known wheel rotation characteristics and packet transmission rates. This preliminary preparation eliminates the need for complex real-time mathematical models, allowing the system to achieve high measurement precision by simply comparing actual intervals against pre-stored reference values, thus reducing processing complexity.
Solution Approach 2:
The system transforms the problem of clock imprecision compensation from a complex continuous calculation into a discrete parameter comparison task. By converting time interval measurements into discrete comparisons against pre-stored intervals in the look-up table, the system achieves precise wheel location determination with simpler processing logic, effectively changing the parameter representation from continuous time values to discrete interval categories.
Data Source
AI summary
A method and a device locate wheels of a vehicle, according to which method at least one wheel has wheel electronics. In accordance with the method, a signal is received on the vehicle side by the wheel electronics, which signal allows conclusions to be drawn about a point in time at which the wheel assumed a first rotation angle position. The signal contains a plurality of packets. At least one time interval between the packets is determined, and at least one estimated value for the at least one time interval is provided on the basis of the at least one determined time interval.