Conversational Interface for EV Trip Planning
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Solution Overview
Problem
Drivers of hybrid electric vehicles (HEVs), plug-in hybrid electric vehicles (PHEVs), and battery electric vehicles (BEVs often fail to achieve desired fuel economy or energy efficiency due to inadequate understanding of driving habits and underutilization of vehicle features, as they are overwhelmed by the vast amount of information available from sensing electronics and computers.
Innovation Solution
A conversational user interface system that retrieves and verifies calendar events to generate trip information, incorporating vehicle data such as battery charge level, driver profile, and location, to communicate optimized routes and energy consumption strategies to the driver through a display or voice-recognition interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple gauges and information displays are provided to show vehicle operation details, then the driver receives comprehensive information about vehicle states, but the driver becomes overwhelmed and unable to understand or translate this information into effective driving habits
Solution Approach 1:
The system segments the overwhelming amount of vehicle operation information into focused, context-relevant segments. Instead of displaying all available data simultaneously, the system divides information delivery into targeted communications about specific driving behaviors and their energy efficiency impacts, making the information digestible and actionable for the driver.
Solution Approach 2:
The system acts as an intermediary between the vehicle's complex operation data and the driver. It processes raw vehicle state information and translates it into meaningful, behavior-focused feedback that helps drivers understand the relationship between their driving habits and energy consumption, bridging the gap between data and actionable insights.
2Measurement precision
If the system retrieves and verifies calendar events to generate trip information, then the trip planning accuracy improves, but the system complexity increases
Solution Approach 1:
The system performs preliminary actions by retrieving and verifying calendar events before generating trip information. It proactively accesses calendar data, validates event details, and prepares trip planning information in advance, ensuring accuracy without requiring complex real-time processing during the actual trip planning moment.
Data Source
AI summary
A vehicle interface system and method is provided. The system and method includes an interface for communicating with a vehicle user. A controller is in communication with the interface and configured to retrieve a calendar event and verify the calendar event based on an input from the user via the interface. Trip information is generated based on the calendar event and vehicle data. Trip information, based on the calendar event and vehicle data, is communicated to the user via the interface.