Vehicle Sensor Rationalization Using Threshold Evaluation
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Solution Overview
Problem
Existing vehicle sensor systems lack effective methods to rationalize and verify the operational status of steering angle sensors and lateral accelerometers, which is crucial for ensuring accurate vehicle control and diagnostics.
Innovation Solution
A method that involves receiving outputs from wheel speed sensors, lateral accelerometers, and steering angle sensors, and determining evaluation events based on these outputs. During evaluation events, the method assesses whether the output of one sensor exceeds a test threshold value, indicating proper functionality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensor rationalization methods are implemented to verify operational status, then sensor functionality and vehicle safety are improved, but system complexity and diagnostic processing requirements increase
Solution Approach 1:
The system performs preliminary rationalization checks by comparing sensor outputs against predetermined thresholds before full diagnostic processing is required. This allows the system to verify sensor operational status proactively during normal operation, only triggering complex diagnostic routines when threshold violations occur.
Solution Approach 2:
The patent introduces intermediary threshold values that mediate between raw sensor outputs and complex diagnostic conclusions. By comparing sensor rationalization outputs against these intermediate thresholds, the system simplifies the decision-making process while maintaining reliable sensor functionality verification.
2Reliability
If continuous sensor monitoring is performed to ensure proper operation, then vehicle safety is improved, but computational resources and processing time are consumed
Solution Approach 1:
The system implements periodic sensor monitoring rather than continuous processing, evaluating sensor rationalization outputs at predetermined intervals or under specific driving conditions. This reduces computational resource consumption while maintaining adequate vehicle safety monitoring through selective evaluation events.
3Measurement precision
If threshold-based evaluation is used to assess sensor outputs, then diagnostic accuracy is improved, but false positives may occur due to noise and variability
Solution Approach 1:
The system dynamically adjusts evaluation thresholds based on operating conditions, sensor type, and historical data patterns. By modifying threshold parameters adaptively rather than using fixed values, the system maintains high diagnostic accuracy while reducing false positives caused by normal sensor noise and environmental variability.
Data Source
AI summary
A method of rationalizing a sensor of a vehicle is provided. The method includes the steps of receiving an output from a wheel speed sensor, receiving an output from a lateral accelerometer, receiving an output from a steering angle sensor, determining whether an evaluation event exists based on the output from the wheel speed sensor, evaluating one of the steering angle sensor output or the lateral accelerometer sensor output during the evaluation event, and determining whether the other of the steering angle sensor output or the lateral accelerometer sensor output exceeds a test threshold value during the evaluation event.