Vehicle Chassis Control via Dynamic Sensor Reliability
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Solution Overview
Problem
Existing vehicle chassis control methods, whether reactive or proactive, face challenges in accurately compensating for uneven road surfaces due to measurement errors and uncertainties in sensor data, leading to potential vehicle destabilization and suboptimal driving behavior.
Innovation Solution
A method that dynamically adjusts the parameterization of a reactive controller based on the reliability of sensor data, increasing bandwidth and gain when uncertainty is high to ensure quick reaction to road unevenness, and switching to proactive control when reliable data is available to anticipate and compensate for road conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If proactive control is used with sensor data to forecast road conditions, then the vehicle can adapt in advance to road unevenness, but measurement errors in sensor data can cause incorrect chassis adjustment and vehicle destabilization
Solution Approach 1:
The system uses sensor data to forecast upcoming road conditions and proactively adjusts chassis parameters before the vehicle encounters the unevenness. This preliminary action allows the chassis to be pre-positioned for optimal performance, improving ride comfort while maintaining safety through continuous monitoring and parameter validation
Solution Approach 2:
The system dynamically changes chassis control parameters (such as damping coefficients, spring rates, or actuator positions) based on forecasted road conditions. By adjusting these parameters in advance according to predicted unevenness profiles, the system optimizes vehicle response while incorporating safety checks to prevent destabilization from erroneous sensor data
2Speed
If reactive controller bandwidth and gain are increased to improve response speed, then more bumps can be compensated, but the vehicle becomes more sensitive to measurement errors and may destabilize
Solution Approach 1:
The system dynamically adjusts the reactive controller's bandwidth and gain parameters based on real-time assessment of sensor data quality and vehicle operating conditions. When sensor reliability is high, the controller operates with higher bandwidth and gain for fast response; when reliability is low, parameters are reduced to maintain stability, thus adapting the control aggressiveness to current conditions
Solution Approach 2:
The system continuously monitors sensor data quality, vehicle response, and control effectiveness to provide feedback on actual performance. This feedback loop allows the system to detect when high-gain control is causing instability due to measurement errors and automatically adjust parameters to maintain reliable operation while maximizing bump compensation capability
Data Source
Figure 1A~1C
Figure 2
AI summary
The present invention relates to a method for controlling at least one component of a chassis of a vehicle in which, depending on a current safety of sensor data of a roadway condition of a roadway section to be driven detected by a sensor system, a parameterization of a reactive controller of the at least one component of the chassis is changed such that, when driving on the roadway section, in the case of increased uncertainty of the sensor data, the reactive controller takes the sensor data into consideration using an increased bandwidth and amplification with respect to a normal operation of the reactive controller, so that the controller controls with a lower reaction time with respect to a normal operation.