Adaptive Vehicle Suspension Tuning From Driver Input Profiles
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Solution Overview
Problem
Conventional methods for adjusting vehicle suspension do not consider driver inputs or behavior, leading to reduced ride quality and comfort, as they primarily focus on road conditions and use open-loop technologies that do not account for individual driver preferences.
Innovation Solution
A system and method that utilize sensors and processors to detect driver input parameters, create a current driver distribution profile, and adjust suspension settings based on deviations from stored profiles, allowing for personalized suspension settings that correlate with driver behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional open-loop methods are used to adjust suspension based on road conditions, then the suspension setting can be adjusted for road hazards, but the driver behavior and individual preferences are not considered, reducing ride quality and comfort
Solution Approach 1:
The system implements closed-loop feedback by continuously monitoring driver input parameters through sensors, comparing current behavior against stored driver distribution profiles, and automatically adjusting suspension settings accordingly. This feedback mechanism enables the system to adapt to individual driver preferences and behaviors, resolving the contradiction between reliable suspension adjustment and driver behavior adaptability
Solution Approach 2:
The system performs self-learning by automatically capturing and storing driver distribution profiles without requiring manual input or configuration. The processor autonomously analyzes driver behavior patterns and generates personalized suspension settings, enabling the system to serve itself in creating adaptive profiles while improving ride quality
2Adaptability or versatility
If predetermined suspension settings are provided for various driver input profiles, then some personalization is available, but the system cannot generate or determine new suspension settings based on actual driver behavior
Solution Approach 1:
The system automatically generates and updates driver distribution profiles through self-service learning mechanisms. The processor continuously monitors driver input parameters, analyzes behavioral patterns, and creates personalized suspension settings without manual intervention, enabling dynamic personalization that goes beyond predetermined settings
Solution Approach 2:
The system transitions from static predetermined suspension settings to dynamic adaptive settings that evolve with driver behavior. The suspension settings are continuously updated based on real-time driver input analysis, allowing the system to adapt and personalize settings dynamically rather than relying on fixed pre-programmed profiles
3Ease of operation
If the system continuously monitors and adjusts suspension based on driver behavior deviations, then ride quality improves, but the system complexity increases
Solution Approach 1:
The processor performs multiple functions using a single integrated system: it monitors driver input parameters, compares current behavior against stored profiles, determines deviations, and adjusts suspension settings. This multi-functionality reduces the need for separate dedicated components for each function, managing system complexity while improving ride quality
Data Source
AI summary
A system for a vehicle includes a memory storing a stored driver distribution profile of a driver input parameter and a stored suspension setting corresponding to the stored driver distribution profile. The system further includes a sensor to detect a current value of the driver input parameter. The system further includes a processor communicably coupled to the memory and the sensor. The processor is configured to determine a current driver distribution profile of the driver input parameter based on the current value of the driver input parameter. The processor is configured to determine a current suspension setting based on the current driver distribution profile. The processor is configured to adjust the stored suspension setting to generate a stored adjusted suspension setting corresponding to the current suspension setting.