EV Trip Simulator Optimizes Charging Itinerary
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Solution Overview
Problem
Existing electric vehicle trip planners do not provide optimized routes that take into account personal criteria such as charging station availability, wait times, and charging efficiency, making it difficult for EV owners to plan long trips efficiently.
Innovation Solution
A trip simulator system that determines parameters for an upcoming electric vehicle trip, analyzes data for points of interest along the route, selects optimal locations including charging stations based on current charge capacity, and displays a travel order recommendation to minimize charging time and inconvenience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If EV owners charge at public charging stations during long trips, then charging flexibility is improved, but charging time and inconvenience increase
Solution Approach 1:
The trip simulator performs preliminary analysis of the entire route before the trip begins, identifying all charging stations, calculating required charge amounts, and determining optimal charging sequences. This advance planning eliminates the need for time-consuming on-the-spot charging decisions during the actual trip.
Solution Approach 2:
The system automatically calculates charging requirements, selects optimal charging stations, and generates the complete charging itinerary without user intervention. The EV owner simply inputs trip parameters and receives a ready-to-follow charging plan, eliminating manual planning time.
2Reliability
If existing trip planners provide basic charging location information, then charging station availability is improved, but route optimization efficiency deteriorates
Solution Approach 1:
The system transforms basic charging location data into a comprehensive optimization model that incorporates multiple parameters including charging speed, station availability, route distance, and time constraints. This multi-parameter analysis enables efficient route optimization while maintaining full awareness of charging station availability.
Solution Approach 2:
The trip simulator acts as an intermediary between raw charging station data and the EV owner's trip planning needs. It processes and synthesizes multiple data sources (charging networks, route maps, vehicle specifications) into a unified optimized itinerary, bridging the gap between available data and actionable planning.
Data Source
AI summary
A method for an electric vehicle trip simulator is described. The method includes determining parameters for an upcoming trip of an electric vehicle, including at least a start location and a destination location. The method also includes analyzing data associated with a plurality of points of interest between the start location and the destination location. The method further includes selecting a set of locations from the plurality of points of interest for the upcoming trip of the electric vehicle, according to the analyzing of the data. The method also includes displaying a travel order recommendation associated with the set of locations selected for the upcoming trip of the electric vehicle, including at least one charging station location according to a current charge capacity of the electric vehicle.