Passenger Vehicle Digital Twin Interface for Satisfaction-Aware Control
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Solution Overview
Problem
Current digital twin systems for passenger vehicles are limited in managing and enhancing customer experience, with primitive interfaces that do not offer configuration options based on user profiles, and lack advanced features to optimize user satisfaction and vehicle performance.
Innovation Solution
A configurable digital twin interface system that uses neural networks to detect user satisfaction states and optimize vehicle operational parameters, such as route, audio, speed, and proximity, based on real-time data from sensors, and provides a customizable interface for users, manufacturers, and dealers, incorporating 5G connectivity and edge intelligence for enhanced user experience and vehicle management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a digital twin system is implemented for passenger vehicles, then vehicle performance monitoring and user experience management are improved, but device complexity and interface configuration requirements increase
Solution Approach 1:
The digital twin interface automatically configures itself based on user profiles and vehicle data, eliminating the need for manual configuration. The system self-adjusts display parameters, data sources, and interface elements based on the authenticated user's role and preferences, resolving the complexity issue while maintaining monitoring capabilities
Solution Approach 2:
The interface dynamically adapts its configuration based on user authentication and profile data. Different users (drivers, owners, fleet managers) receive customized interface views automatically generated by the system, allowing the interface to transform from a static complex structure to a dynamic user-adaptive display
2Ease of operation
If digital twin interfaces are made customizable based on user profiles, then user satisfaction is improved, but device complexity and processing requirements increase
Solution Approach 1:
User profiles and interface preferences are pre-configured during authentication and profile setup. The system stores these preferences in advance, so when users access the digital twin interface, their personalized views are automatically applied without requiring real-time customization decisions, reducing operational complexity
Solution Approach 2:
The system creates simplified copy representations of vehicle data tailored to each user's role and preferences. Instead of presenting all possible data and controls, the interface generates customized copies of the digital twin view based on stored user profiles, making the system easier to operate while managing complexity through selective data replication
3Ease of operation
If real-time vehicle data is collected and processed, then user satisfaction optimization is improved, but energy consumption and processing requirements increase
Solution Approach 1:
The system processes and analyzes only the specific vehicle data parameters relevant to each user's role and satisfaction optimization needs. Rather than processing all vehicle data uniformly, the digital twin interface applies local quality processing by filtering and analyzing only necessary data subsets for each user type, reducing overall energy consumption while maintaining optimization effectiveness
Data Source
AI summary
A system for representing a set of operating states of a vehicle to a user of the vehicle includes a vehicle having a vehicle operating state, and a digital twin receiving vehicle parameter data from one or more inputs to determine the vehicle operating state. An interface for the digital twin presents the vehicle operating state to the user of the vehicle. An identity management system manages a set of identities and roles of the vehicle user and determines capabilities to view, modify, and configure the digital twin based on parsing of the set of identities and roles.