Vehicle Seat Control System for Personalized Ergonomics
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Solution Overview
Problem
Vehicle seat systems fail to adapt to individual user preferences, leading to suboptimal comfort as preset control settings do not suit all users.
Innovation Solution
A system for vehicle seats that includes a functional device capable of multiple states, an input interface to collect user and environmental parameters, a control device to adjust the device's state, and a data storage unit to record and analyze these parameters, allowing for personalized adjustment based on user behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If preset control settings are used, then the system is simple to operate, but the system cannot adapt to individual user preferences
Solution Approach 1:
The system performs preliminary actions by automatically recording parameter values and user state selections in advance, building a database of user preferences without requiring manual input. This allows the system to adapt to individual users while maintaining simple operation, as the complexity is handled automatically during system operation rather than requiring complex user interaction.
Solution Approach 2:
The system implements feedback by continuously monitoring which state the user places the functional device in and correlating this with the current parameter values. This feedback loop enables the system to learn and adapt to user preferences over time, improving adaptability while keeping the interface simple.
2Ease of operation
If multiple parameters are collected and analyzed, then user comfort is improved, but data processing complexity increases
Solution Approach 1:
The system performs self-service by automatically collecting, recording, and analyzing multiple parameters without requiring user intervention. The control device autonomously correlates parameter values with user state selections and generates personalized settings, improving user comfort while avoiding the complexity of manual data processing.
Solution Approach 2:
The system creates simplified copies or representations of complex user preferences by storing them as discrete state selections associated with parameter ranges. This allows the system to handle multiple parameters efficiently by reducing them to manageable user choices, improving comfort without proportionally increasing processing complexity.
3Adaptability or versatility
If automatic adaptation is implemented, then user comfort is enhanced, but the control system becomes more complex
Solution Approach 1:
The system extracts the complexity of automatic adaptation into a separate data processing function that operates independently from the user interface. The control device handles parameter correlation and state selection automatically, while the user simply interacts with the functional device controls, maintaining ease of operation while enabling personalization.
Solution Approach 2:
The system introduces an intermediary data processing layer that mediates between the simple user controls and the complex adaptation logic. This intermediary automatically correlates parameters with user selections and manages the personalization process, allowing enhanced adaptability without increasing the apparent complexity to the user.
Data Source
AI summary
A system for a vehicle seat includes: a functional device able to selectively occupy Np states, where Np is a positive integer; an input interface configured for collecting Nm parameters, where Nm is a positive integer, related to the vehicle and/or to the seat and/or to a user of the seat; a control device configured for changing the functional device from one of the Np states to another of the Np states; a control interface enabling the user to set the functional device, via the control device, to the state to be in; and a data storage unit. The system is configured for sending the values of the Nm parameters to the data storage unit each time the user places the functional device in one of the Np states.