EV Trip Planner Charging Suggestions Based on Driver Schedule
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Solution Overview
Problem
Electric vehicle drivers face challenges in identifying suitable charging stations along their route, leading to unnecessary stops and increased travel time, as existing systems do not consider the driver's schedule or planned events.
Innovation Solution
A system that analyzes the driver's schedule to identify likely stop events and suggests charging stations at those locations, minimizing unnecessary stops by estimating the vehicle's location and selecting stations based on the event, charge state, and other factors, while also considering weather and user preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If charging stations are suggested based on remaining range and proximity to route, then charging availability is improved, but travel time increases due to unnecessary stops
Solution Approach 1:
The system performs preliminary analysis of the driver's schedule to identify upcoming events and predicted stop locations before the vehicle reaches them. By pre-calculating which charging stations align with these predicted stops, the system prepares optimal charging recommendations in advance, ensuring charging availability is maintained while avoiding unnecessary stops that would increase travel time.
2Adaptability or versatility
If multiple charging stations are available along the route, then charging options are improved, but difficulty in identifying suitable stations increases
Solution Approach 1:
The system segments the multitude of charging stations by analyzing the driver's schedule and predicting specific stop locations. Instead of presenting all available charging stations along the route, the system divides them into categories based on their alignment with predicted stops, highlighting only those that coincide with upcoming events. This segmentation reduces the information overload and makes it easier for drivers to identify suitable charging stations.
3Device complexity
If charging stations are suggested without considering driver schedule, then system complexity is reduced, but number of unnecessary stops increases
Solution Approach 1:
The system accesses the driver's existing schedule from their device and automatically analyzes it to predict stop locations. By leveraging the driver's own scheduled events (meetings, appointments, etc.), the system self-generates personalized charging recommendations without requiring complex manual input or configuration. This self-service approach minimizes unnecessary stops while keeping the system relatively simple, as it builds upon existing calendar data rather than requiring a completely new scheduling infrastructure.
Data Source
AI summary
Systems and methods are provided for suggesting a charging station for an electric vehicle. A destination of the electric vehicle is determined, and a schedule of a user of the electric vehicle is accessed. An event scheduled during a travel period to reach the destination is identified in the schedule of the user, and a suggested charging station is selected based at least on the destination and the identified scheduled event. The suggested charging station is generated for presentation at a display.