Vehicle Power Steering Sensor Abnormality Detection
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Solution Overview
Problem
Existing power steering devices and control systems face challenges in accurately detecting sensor abnormalities, leading to potential misjudgments and increased burden on vehicle drivers, especially when multiple sensors output abnormal signals due to common causes.
Innovation Solution
The system employs at least four sensor output signals to determine normality by satisfying specific conditions, including the number of signals showing identical values and common factors, to enhance abnormality detection accuracy and reduce erroneous judgments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a back-up signal method using sensor output substitution is employed, then the assist function can be maintained during sensor failure, but misjudgment occurs as to which sensor output is abnormal, increasing burden on the driver
Solution Approach 1:
The patent segments the sensor evaluation process into distinct evaluation units, each responsible for evaluating specific sensor outputs. Multiple sensor outputs are divided and assigned to different evaluation units that independently assess abnormality based on predetermined conditions. This segmentation allows systematic comparison and identification of truly abnormal signals versus those affected by common factors.
Solution Approach 2:
The system implements feedback mechanisms where evaluation results from multiple sensor outputs are continuously compared and fed back to determine abnormality. The abnormality determination unit receives feedback from multiple evaluation units and uses this information to make final determinations about sensor status, enabling accurate distinction between genuine failures and common factor effects.
2Measurement precision
If multiple sensor outputs are evaluated to improve abnormality detection accuracy, then the system can distinguish normal from abnormal signals, but the complexity of the evaluation system increases
Solution Approach 1:
The evaluation system is segmented into multiple independent evaluation units, each handling specific sensor outputs. This modular approach distributes the computational complexity across multiple simple units rather than requiring one complex centralized evaluator, making the system more manageable and easier to implement.
Solution Approach 2:
The patent changes the evaluation parameter from simple signal comparison to multi-condition evaluation based on predetermined criteria. By establishing clear parameter thresholds and evaluation conditions beforehand, the system achieves high detection accuracy through systematic parameter-based assessment rather than complex real-time analysis.
Data Source
AI summary
In a power steering device and a control device for a vehicle-mounted instrument, an abnormality detection accuracy of sensor output signals is increased.In an electric power steering device and a control device for a vehicle-mounted instrument, judgment for the abnormality of the sensor output signals is carried out by using at least four or more sensor output signals, in which when the sensor output signals satisfy both a first condition (viz., the number of the output signals showing an identical value is the largest) and a second condition (viz., the number is equal to or larger than “n+1”) (n=the largest number of the sensor output signals that have a common factor), judgement is so made that the sensor output signals that satisfy the first and second conditions are normal and the other signals are abnormal.