Brake Component Failure Prediction Using Friction-Aware Operating Points
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Solution Overview
Problem
Existing brake system monitoring technologies fail to provide early diagnosis and prediction of functional impairments or failures in brake system components, particularly for autonomous driving vehicles, lacking the ability to reliably predict future performance and operating behavior.
Innovation Solution
A prediction device and method that utilizes input and output variables from vehicle dynamics regulating processes, combined with friction values and location information, to analyze brake system components using a coordinate system, filtering out irrelevant data and predicting potential failures by mapping brake operating points, enabling early detection and diagnosis of impending faults.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current brake system monitoring technologies are used, then the system can detect failures that have already occurred, but it cannot predict future functional capacity or potential failures of brake system components
Solution Approach 1:
The patent applies preliminary action by collecting and analyzing brake system data (input variables, output variables, friction values, controller state information) before actual failures occur. The system continuously monitors brake operating points and compares them against a coordinate system model to predict future functional capacity and potential failures, enabling proactive maintenance rather than reactive response.
Solution Approach 2:
The patent implements feedback by continuously comparing actual brake system performance data against the coordinate system model and using this information to update predictions. The system processes value groups containing brake operating points and friction values, generates predictions about future functional capacity, and can trigger warnings or maintenance alerts based on predicted degradation trends.
2Reliability
If comprehensive data collection and analysis methods are implemented to predict brake component failures, then prediction reliability improves, but system complexity increases
Solution Approach 1:
The patent applies universality by creating a coordinate system model that can evaluate multiple different brake system components (electromechanical brake booster, master brake cylinder, motorized plunger device, wheel brake cylinders) using a unified approach. The same data collection and analysis methodology is applied across different component types, reducing the need for component-specific prediction systems while maintaining comprehensive monitoring capability.
Solution Approach 2:
The patent implements self-service by utilizing data that is already being collected by the vehicle's existing brake control systems and sensors. The prediction system processes value groups containing brake operating points, friction values, and controller state information that are naturally generated during normal brake operation, eliminating the need for additional specialized sensors or data collection infrastructure.
3Reliability
If early diagnosis capabilities are added to brake system monitoring, then safety for autonomous driving improves, but the monitoring system becomes more complex
Solution Approach 1:
The patent applies preliminary action by predicting future functional capacity and potential failures before they manifest as actual problems during autonomous driving. The system analyzes brake operating points and friction values to identify trends indicating component degradation, enabling early diagnosis and proactive maintenance scheduling that prevents failures during autonomous operation.
Solution Approach 2:
The patent implements feedback by continuously monitoring brake system performance and comparing it against the coordinate system model to generate early diagnosis warnings. The system processes value groups containing brake operating points and controller state information, provides feedback about predicted functional capacity, and can trigger maintenance alerts that prevent safety-critical failures during autonomous driving operations.
Data Source
AI summary
A prediction device for at least one brake system component of a brake system of a vehicle. The prediction device is configured for provided value groups which each have values and/or information ascertained during a plurality of driving dynamics regulating processes executed during driver-induced and/or autonomous braking processes of the vehicle and each include an ascertained input variable, a simultaneously ascertained output variable, and an item of friction value or position indication information relating to a roadway simultaneously traveled on by the vehicle, to enter the value groups into a coordinate system having a plurality of target sectors which each correspond to a specified target relation between the input variable and the output variable at a specific friction value, and to estimate whether an occurrence of a functional impairment of a brake system component of the brake system is probable at least during a specified prediction time interval.