Brake Component Failure Prediction from Braking Response Maps
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Solution Overview
Problem
Current brake system monitoring technologies fail to predict future functional impairments or failures in vehicle brake systems, which is crucial for ensuring safe autonomous driving.
Innovation Solution
A prediction device and method that compares braking process data to stored coordinate systems, incorporating braking request, system response, and vehicle variables, along with environmental parameters, to estimate the likelihood of brake system component failures and predict potential impairments, enabling early diagnosis and secure autonomous driving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional monitoring methods are used to detect brake system failures, then failure detection is possible, but future functional impairments cannot be predicted
Solution Approach 1:
The system performs preliminary actions by collecting and storing coordinate system data during normal braking operations before failures occur. Multiple coordinate systems are built up over time representing different braking scenarios, enabling future predictions by comparing new data against this pre-established reference framework.
Solution Approach 2:
The system performs preliminary actions by collecting and storing coordinate system data during normal braking operations before failures occur. Multiple coordinate systems are built up over time representing different braking scenarios, enabling future predictions by comparing new data against this pre-established reference framework.
2Reliability
If comprehensive braking data is collected and analyzed, then prediction accuracy is improved, but computational complexity increases
Solution Approach 1:
The system segments the complex braking data into structured coordinate systems with specific axes (braking request, system response, vehicle response). This segmentation organizes multidimensional data into manageable frameworks that can be systematically compared and analyzed without overwhelming computational complexity.
Solution Approach 2:
The system transforms raw braking data into standardized coordinate system representations with defined parameters and axes. By changing the parameter representation from raw sensor data to structured coordinate systems, the system enables efficient comparison and prediction while managing data complexity.
Data Source
AI summary
A prediction device and method for a brake system component of a brake system of a vehicle. The method includes: ascertaining value groups, which respectively have values ascertained during several braking processes of the vehicle, each comprising a braking request specification variable ascertained at a point in time, at least one brake system response variable ascertained at the same point in time, and a vehicle response variable ascertained at the same point in time; entering the ascertained value groups into coordinate systems which each has at least two axes, which respectively indicate the braking request specification variable or a braking request specification variable, the brake system response variable or at least one of the brake system response variables, and/or the vehicle response variable or a vehicle response variable; and estimating based on the coordinate systems whether an occurrence of a functional impairment of the brake system component is probable.