Shared Vehicle Feature Auto-Adjustment and Condition Monitoring
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Solution Overview
Problem
Shared-use vehicle systems face challenges in replicating the personal experience of vehicle ownership, as users are reluctant to give up customized settings, leading to inefficiencies in vehicle utilization and maintenance, particularly in densely populated areas where parking and traffic congestion are significant.
Innovation Solution
A shared-use vehicle reservation system that automatically adjusts vehicle features to match a user's preferred settings through sensors, wireless communication, and onboard computers, allowing for real-time assessment of maintenance needs and condition assessment using cameras and accelerometers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If vehicle feature settings are fixed for each user, then user comfort and personalization are improved, but vehicle utilization efficiency deteriorates due to manual reconfiguration time
Solution Approach 1:
The system pre-configures vehicle features by automatically retrieving stored user preferences and applying them before the user arrives or as soon as the user enters the vehicle. This eliminates the need for manual reconfiguration and ensures personalization is already in place, thus maintaining user comfort while improving vehicle utilization efficiency.
Solution Approach 2:
The system continuously monitors vehicle usage data and user interactions to automatically adjust and refine feature settings. By implementing feedback loops that track what settings users actually use and prefer, the system dynamically optimizes configurations, ensuring both personalization and efficient vehicle turnover between users.
2Measurement precision
If manual vehicle inspection is performed, then condition assessment accuracy is improved, but maintenance time and costs deteriorate
Solution Approach 1:
The vehicle performs self-inspection through integrated sensors that automatically monitor its own condition parameters such as battery charge level, tire pressure, fluid levels, and component temperatures. This self-service capability provides continuous accurate condition assessment without requiring manual inspection, thus maintaining measurement precision while eliminating maintenance time loss.
Solution Approach 2:
The system replaces manual mechanical inspection with electronic sensor-based monitoring. Sensors continuously measure various vehicle parameters and transmit data to the management system, providing accurate condition assessment automatically. This substitution of mechanical inspection with electronic monitoring maintains precision while dramatically reducing or eliminating the time required for maintenance assessments.
3Device complexity
If uniform maintenance schedules are implemented, then fleet management simplicity is improved, but maintenance costs deteriorate due to unnecessary servicing
Solution Approach 1:
The maintenance schedule dynamically adapts to each vehicle's actual usage patterns and condition data. Instead of uniform static schedules, the system adjusts maintenance timing based on real-time sensor feedback, mileage accumulation, and operational intensity. This dynamic approach maintains fleet management simplicity through automated scheduling while reducing unnecessary servicing and associated costs.
Solution Approach 2:
The system changes maintenance parameters such as service intervals and thresholds based on actual vehicle conditions and usage patterns. By monitoring parameters like battery cycle count, motor temperature extremes, and charge duration, the system adjusts maintenance timing dynamically, ensuring services are performed only when necessary. This reduces wasteful uniform maintenance while keeping fleet management simple through automated parameter adjustment.
Data Source
AI summary
The present invention relates to a system for automatically adjusting a vehicle feature of a vehicle, where the system includes a first sensor, an onboard computer, a camera, a mirror, a controller; an actuator; and an algorithm. The algorithm instructs the onboard computer in steps for adjusting one or more vehicle features. The first sensor and the controller are in electronic communication with the onboard computer and the controller is in electronic communication with one or more actuators that connect to and adjust the various vehicle features. The onboard computer includes or accesses a database that correlates users, features, and vehicle feature settings. Such vehicle features include seat position and camera viewing angle.