Predictive Suspension Control for Road-Condition Response Delay
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Solution Overview
Problem
Existing automated suspension control systems for vehicles struggle to promptly respond to changing road conditions, leading to delays in adjusting suspension settings, which can result in discomfort for the driver.
Innovation Solution
A control system that uses predictive route data and road type information to anticipate upcoming road conditions, allowing it to adjust the suspension configuration before reaching a new road section, thereby minimizing delays and improving responsiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If automated suspension control systems continuously monitor and react to sensor signals in real-time, then the system can adapt to changing road conditions, but the response is delayed due to verification time and adjustment time
Solution Approach 1:
The control system uses predictive algorithms and route information to anticipate upcoming road conditions before the vehicle reaches them. This allows the suspension settings to be pre-adjusted in advance, eliminating the verification delay that occurs in traditional reactive systems. The system performs the adjustment action before the condition actually occurs, rather than waiting to detect and verify it first.
2Adaptability or versatility
If the suspension system adjusts settings frequently to match changing conditions, then the adaptability improves, but energy consumption increases
Solution Approach 1:
By predicting road conditions in advance using route data and road type information, the system can plan suspension adjustments only when and where they are truly needed. This prevents unnecessary frequent adjustments that would waste energy, while still maintaining high adaptability to actual driving conditions.
Solution Approach 2:
The system optimizes the timing and magnitude of parameter changes in suspension settings based on predicted conditions. Rather than continuously adjusting, it makes targeted parameter changes only when the predicted road conditions warrant them, thereby reducing overall energy consumption while maintaining adaptability.
3Reliability
If the system waits to verify changing conditions before adjusting, then false adjustments are reduced, but driver comfort deteriorates due to delayed response
Solution Approach 1:
The system uses predictive algorithms that analyze route information and road type data to anticipate upcoming conditions with high confidence. This allows the system to make reliable adjustments in advance without needing to wait for real-time sensor verification, thus maintaining both adjustment accuracy and driver comfort by eliminating the verification delay.
Data Source
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AI summary
A control system (400) is provided for an adjustable suspension of a vehicle (100). The adjustable suspension is operable in at least two different configurations. The control system is configured to receive route data (110) indicative of an expected route of the vehicle, receive map data (120) comprising road type information for a road section of the expected route, and output a switch signal to instruct the adjustable suspension (104) to switch between the two different configurations in dependence on the expected route and the road type information, before the vehicle (100) reaches the road section.