Wireless Power FOD Validation Using Early Temperature Prediction
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Solution Overview
Problem
Current foreign object detection tests for wireless power transmitters are time-consuming, often taking several tens of minutes to an hour, and require repeated tests with objects in different positions, leading to resource inefficiency and high testing costs.
Innovation Solution
A test apparatus and method that uses temperature sensors to measure and predict the temperature of a foreign object during wireless power transfer, allowing for a quicker assessment of whether the object's temperature will exceed a threshold by calculating a predicted temperature at a future point in time using linear or logarithmic regression, thereby reducing test duration while maintaining confidence in the results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional foreign object detection testing is performed by monitoring temperature over an extended period, then measurement precision is improved, but loss of time increases significantly
Solution Approach 1:
The patent applies preliminary action by performing temperature measurements at specific early time points during the foreign object heating process, then using regression analysis to predict the temperature at a future threshold time point. This allows the test to be completed in a fraction of the time required for traditional continuous monitoring, while maintaining measurement precision through mathematical prediction based on the thermal characteristics of the foreign object.
Solution Approach 2:
The patent replaces the mechanical/physical approach of continuous temperature monitoring with a computational approach using linear or logarithmic regression analysis. By substituting the physical measurement process with mathematical prediction, the system achieves the same measurement precision with significantly reduced time loss, as the regression model can accurately predict future temperature based on initial measurement data.
2Reliability
If multiple repeated tests are conducted with foreign objects in different positions, then reliability of FOD detection is improved, but productivity decreases due to resource inefficiency
Solution Approach 1:
The patent performs preliminary temperature measurements at early time points that capture the thermal response characteristics of the foreign object. These preliminary measurements are then used to predict the temperature at the threshold time point through regression analysis, eliminating the need for multiple repeated tests while maintaining detection reliability.
Solution Approach 2:
The patent changes the testing parameter from extended time-based monitoring to accelerated time-point sampling with mathematical prediction. By measuring temperature at specific early time points and using regression models to predict threshold exceedance, the system achieves the same reliability with significantly improved productivity, as the test duration is reduced from tens of minutes to a fraction of that time.
3Measurement precision
If extended temperature monitoring is performed to ensure accurate test results, then measurement precision is improved, but use of energy increases
Solution Approach 1:
The patent performs preliminary temperature measurements at specific early time points during the foreign object heating process, then uses regression analysis to predict the temperature at a future threshold time point. This allows the test to be completed in a fraction of the time required for traditional continuous monitoring, while maintaining measurement precision through mathematical prediction based on the thermal characteristics of the foreign object.
Solution Approach 2:
The patent replaces the mechanical/physical approach of continuous temperature monitoring with a computational approach using linear or logarithmic regression analysis. By substituting the physical measurement process with mathematical prediction, the system achieves the same measurement precision with significantly reduced time loss, as the regression model can accurately predict future temperature based on initial measurement data.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach significantly shortens the testing time for wireless power transmitters, ensuring efficient resource utilization and reducing costs by predicting whether the foreign object's temperature will exceed the threshold, thus determining the test result more swiftly and accurately.
Implementation Method 1
at least one temperature sensor configured to sense a temperature of a foreign object between the wireless power test receiver and the wireless power transmitter during wireless power transfer
Implementation Method 2
magnetic induction (MI) systems
Implementation Method 3
magnetic resonance (MR) systems
Data Source
AI summary
A test apparatus for testing a foreign object detection (FOD) capability of a wireless power transmitter. The test apparatus includes a wireless power test receiver and at least one temperature sensor configured to sense a temperature of a foreign object between the wireless power test receiver and the wireless power transmitter during wireless power transfer between the wireless power transmitter and the wireless power test receiver. The test apparatus also includes a memory configured to store temperatures sensed by the at least one temperature sensor over a test period in which the wireless power transfer occurs and temporal information regarding times the temperatures are sensed, and a processor configured to calculate, based on the temperatures and the temporal information, a predicted temperature of the foreign object at a future point in time after the test period, and to determine a test result based on the predicted temperature.