Steering System State Extrapolation for Partial Failure Mitigation
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Solution Overview
Problem
In motor vehicles equipped with steer-by-wire systems, partial failures in the steering system can lead to unreliable lateral control, posing a hazard to occupants, as existing systems lack effective measures for early detection and mitigation of such failures.
Innovation Solution
A method is introduced to determine a time span for countermeasures that limit hazards by calculating when a state variable influencing the steering system's operating capacity exceeds a limit value, allowing for early intervention with countermeasures such as reducing speed or switching to a secondary drive, thereby ensuring reliable and safe lateral control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing steer-by-wire systems are used without early detection mechanisms, then the system structure remains simple, but reliability deteriorates due to inability to detect and respond to partial failures
Solution Approach 1:
The system performs preliminary actions by determining a time span for countermeasures and calculating when state variables will exceed limit values before actual failures occur. This allows the system to prepare and implement safety countermeasures proactively, improving reliability without requiring complex real-time detection of every possible failure mode.
Solution Approach 2:
The system establishes feedback loops by continuously monitoring state variables (temperature, voltage, resistance, wear) and comparing them against limit values. When variables approach critical thresholds, the system provides feedback to trigger appropriate countermeasures, creating a closed-loop control system that enhances reliability through continuous monitoring and response.
2Reliability
If countermeasures are introduced early based on state variable extrapolation, then safety is improved, but response time is reduced
Solution Approach 1:
The system calculates future points in time when state variables will exceed limit values, allowing countermeasures to be prepared in advance. This preliminary calculation enables the system to act before critical failures occur, improving safety while managing the time available for both automated response and driver awareness.
Solution Approach 2:
The system dynamically adjusts the timing and type of countermeasures based on the rate of degradation of state variables. By extrapolating future states and comparing against the determined time span, the system can implement gradual or staged countermeasures that balance safety requirements with maintaining adequate response time for critical situations.
3Measurement precision
If multiple state variables are monitored and extrapolated, then detection accuracy is improved, but computational load increases
Solution Approach 1:
The system uses a universal approach by monitoring multiple state variables (temperature, voltage, resistance, wear) that can indicate different aspects of system degradation. These diverse variables serve multiple diagnostic purposes, allowing the system to detect various failure modes using a unified monitoring and extrapolation framework, improving detection accuracy without proportionally increasing complexity.
Solution Approach 2:
The system implements partial monitoring by focusing on key state variables that are most indicative of steering system degradation. Rather than continuously analyzing all possible parameters at full resolution, the system selectively monitors critical variables and uses extrapolation to predict future states, achieving sufficient detection accuracy with reduced computational energy consumption.
Data Source
AI summary
A method for operating a motor vehicle, wherein the motor vehicle has a steering system for steering at least one wheel of the motor vehicle by means of a drive. In doing so, it is provided that a time span is determined for at least one countermeasure limiting a hazard to a vehicle occupant upon an at least partial failure of the steering system, within which time span the countermeasure deploys an effect, and that a state variable (T) influencing the operating capacity of the steering system is determined and extrapolated over time and a point in time (t1) is calculated in which the state variable (T) exceeds a limit value (T1), wherein the countermeasure is introduced when the point in time (t1) is less than the time span in the future.