Vehicle Yaw Rate Sensor Malfunction Detection Controller
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle control systems face challenges in determining whether a previously detected sensor malfunction is persistent, leading to potential misuse of faulty sensor data and unnecessary system shutdowns.
Innovation Solution
A controller with an electronic processing unit and non-volatile memory that monitors yaw rate sensor malfunctions, generates fault signals, and performs signal checks to determine if the malfunction is still present, allowing the system to switch between operational states and use or ignore sensor data accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the vehicle control system continuously monitors sensor signals with strict tolerances to avoid false good checks, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The monitoring system is divided into separate functional modules: a malfunction monitoring function that detects faults using lenient tolerances, and a good check function that verifies recovery using strict tolerances. This segmentation allows each module to optimize its detection criteria without compromising overall system accuracy or requiring excessive complexity.
Solution Approach 2:
The system performs preliminary malfunction detection with lenient tolerances to identify potential issues early. Once a malfunction is detected, the system then applies stricter tolerances in the good check function to confirm whether the fault persists before allowing system recovery. This preliminary action approach prevents false positives while maintaining high detection accuracy.
2Ease of operation
If the system uses lenient tolerances in good checking to avoid false alarms, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The system dynamically adjusts its evaluation criteria based on the operational phase. During initial malfunction monitoring, lenient tolerances are applied to avoid false alarms and facilitate easy operation. When a malfunction is detected and the system transitions to the good check phase, strict tolerances are applied to ensure accurate verification of recovery. This dynamic adaptation resolves the contradiction between ease of operation and measurement precision.
Solution Approach 2:
The system implements a feedback mechanism where the outcome of malfunction monitoring influences the subsequent good check process. If a malfunction is detected, the system activates the good check function with strict tolerances to verify whether the fault persists. This feedback loop ensures that lenient tolerances during monitoring do not compromise overall detection accuracy, as the strict good check provides a final verification step.
3Reliability
If the system shuts down vehicle subsystems when sensor malfunctions are detected, then reliability is improved, but productivity decreases
Solution Approach 1:
The system performs self-diagnosis and self-verification through the good check function. After detecting a potential malfunction, the system automatically monitors whether the fault persists without requiring immediate shutdown or external intervention. If the good check determines that the malfunction no longer exists, the system automatically restores normal operation, thereby maintaining high reliability while minimizing unnecessary shutdowns and preserving productivity.
4Measurement precision
If the system performs multiple signal checks with strict conditions to confirm malfunction recovery, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The good check function is performed periodically at defined intervals rather than continuously. This periodic execution allows the system to verify malfunction recovery with strict tolerances at appropriate moments without causing excessive delays. The periodic nature of the checks balances the need for accurate recovery detection with the requirement to minimize system downtime and maintain productivity.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A controller for determining whether a previously-detected vehicle malfunction still exists. If the malfunction is no longer detected in the sensor signals, a vehicle control system operates in a first operational state or normal operational state with respect to the previously-malfunctioning sensor (e.g., signals from the sensor are used to control the vehicle). If the malfunction continues to be detected, the vehicle control system operates in a second operational state or malfunction state with respect to the malfunctioning sensor in which the signals from the sensor are not used to control the vehicle.