Vehicle Component Behavior Evaluation for Wear-Adaptive Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle control systems fail to adapt to wear-related changes in individual components, leading to inefficiencies in automatic or autonomous driving due to the inability to react to altered vehicle component behaviors.
Innovation Solution
A method and system for evaluating vehicle component behavior through detection, classification, and adaptation of control signals using sensors and a control unit, with optional external data processing, to adjust vehicle component actuation based on wear and condition changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the control unit is specially adapted to specific characteristics of the target system, then the control performance is optimized for initial conditions, but the system cannot react to changes in vehicle component behavior due to wear
Solution Approach 1:
The control unit transitions from a static, pre-adapted system to a dynamic system that continuously monitors vehicle component behavior through sensor data and adjusts control parameters in real-time. This allows the system to maintain optimal control performance despite wear-related changes in brake systems, drive systems, or steering systems.
Solution Approach 2:
The system implements a feedback mechanism where sensor data about vehicle response to control signals is continuously fed back to the control unit. This feedback loop enables the control unit to detect changes in component behavior and adapt control strategies accordingly, resolving the contradiction between initial optimization and ongoing adaptability.
2Device complexity
If the system focuses on overall vehicle behavior evaluation, then the complexity of individual component monitoring is reduced, but the ability to identify and respond to specific component wear is limited
Solution Approach 1:
The system segments the vehicle into individual controllable components (brake system, drive system, steering system) and evaluates the behavior of each component separately through targeted control signals and sensor measurements. This segmentation enables precise detection of specific component wear while maintaining manageable system complexity through modular evaluation approaches.
3Ease of operation
If manual driving operation is used, then the driver can compensate for unknown vehicle component behavior, but automatic or autonomous driving cannot adapt to wear-related changes
Solution Approach 1:
The automatic driving system performs self-diagnosis and self-adjustment by monitoring its own control signals and sensor responses. The control unit automatically detects wear-related changes and adapts control parameters without human intervention, enabling autonomous vehicles to maintain safe operation despite component degradation, effectively making the system self-correcting like a human driver would be.
Data Source
AI summary
A method for evaluating the behavior of a vehicle component, including: issuing a control signal by a control unit of a motor vehicle to a vehicle component; detecting a response of the motor vehicle to the control signal; determining the behavior of the vehicle component; classifying the behavior of the vehicle component; and adapting the actuation of the motor vehicle component by the control unit. Also described is a related system.