Fluid Level Sensor Calibration via Capacitance
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Solution Overview
Problem
Existing fluid-level measurement systems in vehicles require manual calibration by skilled personnel, sensitive to the type of fuel used, which is impractical for varying fuel types and locations.
Innovation Solution
An in-situ non-manual calibration method for fluid-level measurement systems that generates a response based on capacitance or frequency, allowing calibration without knowledge of the fluid's dielectric value or sensor properties, using a wireless magnetic field response system with a capacitor-inductor sensor circuit and interpolating polynomials to create calibration curves for different fluid levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual calibration by skilled personnel is performed, then measurement precision is improved, but device complexity and loss of time increase
Solution Approach 1:
The system automatically performs calibration by measuring capacitance responses at known fluid levels (empty and full states) and generating calibration curves without requiring skilled personnel intervention. The microprocessor autonomously executes the calibration algorithm, storing results for accurate fluid-level measurements.
Solution Approach 2:
The system pre-establishes calibration data by measuring capacitance responses at extreme fluid levels (empty and full) before actual measurement operations. These preliminary measurements are used to generate calibration curves that enable precise measurements during normal operation.
2Measurement precision
If manual calibration is performed, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The microprocessor automatically executes calibration measurements and generates calibration curves without requiring skilled personnel to perform manual calibration procedures. The system autonomously completes the entire calibration process, significantly reducing calibration time.
Solution Approach 2:
The system performs calibration measurements only at extreme fluid levels (empty and full states) rather than requiring multiple intermediate measurements. This partial measurement approach is sufficient to generate accurate calibration curves for the entire measurement range.
3Measurement precision
If the measurement system is sensitive to fuel type, then measurement precision is improved for specific fuels, but adaptability deteriorates
Solution Approach 1:
The system uses a universal calibration approach based on capacitance measurements that works with different fuel types. By calibrating at extreme levels and using interpolation algorithms, the system adapts to various dielectric constants of different fuels without requiring fuel-specific calibration procedures.
Solution Approach 2:
The system adjusts its measurement parameters dynamically based on the dielectric properties of the fuel being measured. The calibration process automatically adapts to different fuel types by measuring capacitance responses and generating appropriate calibration curves for each fuel's specific electrical properties.
4Ease of operation
If in-situ non-manual calibration is implemented, then ease of operation is improved, but measurement precision may deteriorate
Solution Approach 1:
The microprocessor autonomously performs calibration measurements, generates calibration curves, and stores results without requiring user intervention. This self-service approach maintains ease of operation while ensuring precise measurements through automated calibration algorithms.
Solution Approach 2:
The system uses feedback from capacitance measurements at known fluid levels to automatically adjust and establish accurate calibration curves. The measured responses are fed back into the calibration algorithm to generate precise measurement parameters for subsequent operations.
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
Enables self-calibration of fluid-level measurement systems for various fluids, ensuring accurate measurements without manual intervention or knowledge of fluid or sensor properties, suitable for vehicles using different fuels.
Implementation Method 1
a fluid-level measurement system that measures the capacitance or frequency of a response that is correlated to level of a fluid
Implementation Method 2
without knowledge of the dielectric value of the fluid of interest
Implementation Method 3
a capacitor-inductor sensor circuit
Data Source
AI summary
A method of calibrating a fluid-level measurement system is provided. A first response of the system is recorded when the system's sensor(s) is (are) not in contact with a fluid of interest. A second response of the system is recorded when the system's sensor(s) is (are) fully immersed in the fluid of interest. Using the first and second responses, a plurality of expected responses of the system's sensor(s) is (are) generated for a corresponding plurality of levels of immersion of the sensor(s) in the fluid of interest.


