EV Route Planning With State-of-Charge Charging Stop Selection
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Solution Overview
Problem
The adoption of electric vehicles is hindered by user confusion and inaccessibility, as existing technologies lack effective solutions for identifying suitable charging stations and determining travel routes based on the vehicle's state of charge and trip context.
Innovation Solution
A vehicle routing system that identifies and presents available charging stations and generates travel routes for electric vehicles by determining their state of charge and trip context, using a mobile application to display suitable charging stations and routes, and automatically selecting charging stations based on energy availability and trip parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a vehicle routing system automatically selects charging stations based on state of charge and trip context, then user accessibility and ease of operation are improved, but device complexity and system requirements increase
Solution Approach 1:
The routing system automatically performs charging station selection without requiring manual user input. The system monitors the vehicle's state of charge and autonomously identifies suitable charging stations along the trip route, eliminating the need for users to manually search or select charging locations.
Solution Approach 2:
The system pre-calculates charging stops and selects charging stations before the trip begins or during route planning. By determining charging requirements in advance based on the vehicle's energy consumption profile and trip distance, the system prepares the charging itinerary beforehand, reducing real-time decision complexity.
2Reliability
If the system identifies and presents multiple available charging stations with trip context matching, then information completeness and reliability are improved, but information processing complexity and time increase
Solution Approach 1:
The system pre-filters charging stations by matching them against trip context parameters such as destination, route, and energy requirements before the user needs the information. This preliminary matching process identifies compatible charging stations in advance, reducing the time required to present relevant options when the user requests charging information.
Solution Approach 2:
The system tailors the charging station information to the specific local context of each trip, considering factors such as the vehicle's current state of charge, trip distance, energy consumption rate, and location-specific charging infrastructure characteristics. This localized customization ensures high reliability by presenting only contextually relevant charging options.
3Reliability
If the system determines state of charge and generates routes with charging stops, then route reliability and energy management are improved, but computational complexity and processing requirements increase
Solution Approach 1:
The system calculates energy consumption profiles and determines charging requirements in advance during route planning. By pre-determining the state of charge at various trip milestones and identifying necessary charging stops beforehand, the system ensures route reliability without requiring complex real-time computations during vehicle operation.
Solution Approach 2:
The system continuously monitors the vehicle's actual energy consumption and state of charge, comparing it against the planned energy profile. This feedback mechanism allows the system to adjust the routing and charging station selection dynamically, maintaining route reliability by ensuring the vehicle reaches charging stops with sufficient charge margin.
Data Source
AI summary
Systems and methods for identifying available charging stations (e.g., charging stations available to be used by an electric vehicle) and/or determining travel routes for electric vehicles are described. In some embodiments, the systems and methods receive a request to find an available charging station, determine a state of charge for an electric vehicle associated with the request, identifies one or more available charging stations located within a suitable distance to the electric vehicle, the suitable distance based on the determined state of the charge for the electric vehicle, and present information to the electric vehicle, or an associated mobile device, that indicates the identified charging stations.