Autonomous Vehicle Control System for Dynamic Ride Quality Adaptation
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Solution Overview
Problem
Autonomous vehicles lack the ability to effectively incorporate ride quality feedback from occupants, leading to suboptimal driving experiences due to pre-defined control schemes that do not account for individual preferences.
Innovation Solution
A vehicle control system that utilizes sensors and a computing device to acquire and implement feedback on ride quality features by modifying autonomous control parameters, such as acceleration, suspension stiffness, and turn radius, to enhance the occupant's experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If pre-defined control schemes are used for autonomous vehicle operation, then automation extent is improved, but ride quality adaptability deteriorates
Solution Approach 1:
The control scheme transitions from static pre-defined parameters to dynamic adaptive control. The system continuously monitors occupant feedback through sensors (seat sensors, steering wheel sensors, cameras) and dynamically adjusts vehicle control parameters in real-time during autonomous operation, enabling the vehicle to adapt ride quality to individual occupant preferences while maintaining automation.
Solution Approach 2:
The system implements a closed-loop feedback mechanism where occupant responses to ride quality are continuously collected via sensors and processed by the computing device. This feedback is then used to automatically adjust control parameters, creating a self-regulating system that improves ride quality based on actual occupant experience rather than relying solely on pre-defined schemes.
2Device complexity
If pre-defined control schemes are used, then device complexity is reduced, but ride quality customization deteriorates
Solution Approach 1:
The system enables the vehicle to self-adjust its control parameters based on occupant feedback without requiring manual intervention. The computing device automatically processes sensor data, determines appropriate parameter adjustments, and implements changes to ride quality settings, allowing the system to serve the occupant's preferences autonomously while maintaining relatively simple system architecture.
3Ease of operation
If autonomous control parameters are modified based on feedback, then ride quality is improved, but control system complexity increases
Solution Approach 1:
The computing device performs multiple functions using a unified processing architecture: it collects data from various sensors, processes occupant feedback, determines control parameter adjustments, and coordinates with multiple vehicle systems (suspension, steering, powertrain). This multi-functional approach improves ride quality experience while avoiding the need for separate dedicated systems for each function, thereby limiting the increase in overall system complexity.
Data Source
AI summary
A vehicle control system is configured for autonomous control of at least one actuatable vehicle system or component. The control system includes one or more sensors disposed on a vehicle, and a computing device in communication with the one or more sensors. The computing device is configured to acquire feedback relating to a ride quality feature from a vehicle occupant, identify vehicle control parameters affecting the ride quality feature; identify at least one autonomously controlled vehicle system affecting values of the identified vehicle control parameters; determine revisions to the vehicle control parameters necessary to implement the feedback relating to the ride quality feature; perform control parameter revisions necessary to implement the feedback relating to the ride quality feature, and control operation of the at least one autonomously controlled system or component so as to effect the control parameter revisions needed to implement the feedback.