Tyre Pressure Monitoring Sampling Power Reduction
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Solution Overview
Problem
Conventional Tyre Pressure Monitoring Systems (TPMS) face high power consumption due to frequent sampling of tyre parameters, which is inefficient given that these parameters change slowly over time, leading to unnecessary battery drain in wheel-mounted sensor units.
Innovation Solution
Implementing a method where the sampling frequency is reduced by using a controller to activate the ADC only when significant changes in tyre parameters are detected, utilizing a detector to monitor input signals and power down the system between sampling periods, and adjusting the detection threshold with a signal pre-processor to maintain accurate measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If frequent sampling of tyre parameters is performed, then measurement accuracy is maintained, but power consumption increases
Solution Approach 1:
The system performs sampling at variable intervals rather than continuously. The sampling frequency is dynamically adjusted based on whether parameter changes exceed a threshold, creating a periodic action pattern that reduces power consumption while maintaining measurement accuracy when needed.
Solution Approach 2:
The sampling rate parameter is changed dynamically based on the detected magnitude of parameter changes. When changes are small, sampling frequency is reduced; when changes exceed the threshold, sampling frequency increases. This parameter adaptation resolves the contradiction between continuous monitoring and power savings.
2Use of energy by moving object
If sampling frequency is reduced to save power, then power consumption decreases, but measurement precision deteriorates
Solution Approach 1:
The sampling frequency is made dynamic rather than fixed. The system continuously monitors parameter changes and adjusts the sampling rate in real-time based on the magnitude of changes detected, allowing the system to adapt between low-power mode and high-precision mode as conditions require.
Solution Approach 2:
The system uses feedback from the detector about parameter change magnitude to control the sampling frequency. When the detector identifies changes exceeding the threshold, it triggers increased sampling; when changes are minimal, sampling is reduced. This feedback loop maintains measurement precision while optimizing power consumption.
3Reliability
If continuous monitoring is performed, then reliability of parameter detection is improved, but energy loss increases
Solution Approach 1:
Instead of continuous monitoring, the system implements periodic sampling with variable intervals. The monitoring is suspended during periods of stable parameters and activated when changes are detected, maintaining detection reliability while minimizing energy loss during stable conditions.
Solution Approach 2:
The system performs partial monitoring by only activating full sampling cycles when parameter changes exceed the threshold. During normal stable operation, minimal monitoring is performed, which is sufficient for reliability but consumes significantly less energy than continuous full-scale monitoring.
Data Source
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AI summary
An apparatus for measuring parameter values from an electrical input signal comprises a signal sampling device operable to sample said input signal and to produce a corresponding output comprising a measured parameter value; a signal level detector configured to detect changes in the level of the input signal by more than a threshold amount; and a controller co-operable with the signal sampling device and the signal level detector. The controller is configured to operate the signal sampling device to sample the input signal in response to the signal level detector detecting a change in the input signal level by more than the threshold amount.