Brake Component Failure Prediction Under High-Dynamic Braking
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Solution Overview
Problem
Current brake system monitoring technologies fail to effectively predict functional impairments in brake system components, especially during high dynamic load braking processes, which are critical for autonomous vehicle safety.
Innovation Solution
A prediction system that uses electronic devices to enter value groups into a coordinate system, incorporating variables such as brake pedal actuation, response variables, and environmental parameters like friction coefficient, to assess the likelihood of functional impairment in brake system components, allowing for early diagnosis and reduced computational workload.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If braking processes with high and/or dynamic loads are evaluated to predict functional impairment, then prediction accuracy is improved, but computational workload and memory requirements increase
Solution Approach 1:
The patent segments the braking processes into different categories based on load characteristics (high/dynamic load vs. slow/quasi-static braking). By focusing prediction efforts only on high-dynamic load braking events, the system achieves accurate prediction of functional impairments while avoiding unnecessary computational analysis of low-risk braking scenarios, thus reducing overall computational workload and memory requirements.
2Measurement precision
If comprehensive monitoring of all brake system components is performed, then detection precision is improved, but device complexity increases
Solution Approach 1:
The patent extracts and focuses monitoring resources on critical brake system components and high-dynamic load braking events that are most indicative of functional impairment. By selectively monitoring only the most relevant parameters and events rather than comprehensively monitoring all brake system components continuously, the system achieves high detection precision for impending failures while reducing system complexity and computational burden.
Data Source
AI summary
A prediction system and a prediction method for at least one brake system component of a brake system of a vehicle by ascertaining value groups of in each case at least two different variables during at least one driver-induced and/or autonomous braking process of the vehicle, the at least two variables of the same value group are ascertained simultaneously and in a braking situation in which at least one of the variables lies outside its respective specified normal value range and/or a temporal derivative of at least one of the variables lies outside a quasi-static range respectively specified for the respective variable, and estimating, using the ascertained value groups, whether the occurrence of at least one functional impairment of at least the one brake system component of the brake system is probable at least during a specified prediction time interval.