EV Charging Stop Preselection for Compatible Station Planning
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Solution Overview
Problem
Electric vehicle charging processes are complex due to incompatibility of charging interfaces, limited charging station networks, and the need for careful planning to minimize time, as battery-powered vehicles have a lower range and longer charging times compared to combustion vehicles.
Innovation Solution
A method for intelligent preselection of suitable charging stations based on vehicle, user, and environmental factors, which estimates the requirements and suggests charging stations that meet these criteria, eliminating the need for manual input and ensuring all requirements are fulfilled, by integrating a charging stop planning assistant within the vehicle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If a user manually plans charging stops at electric charging stations, then the user can control charging timing and location, but the user loses time due to the complexity of finding suitable charging stations and the extended duration required for battery charging compared to fuel refilling
Solution Approach 1:
The system enables self-service by automatically determining charging stop requirements and preselecting suitable charging stations based on vehicle state, route, and user preferences without requiring manual user input or search, thus reducing time loss while maintaining operational ease
Solution Approach 2:
The system performs preliminary actions by preselecting charging stations in advance based on predicted charging needs, route planning, and station availability, allowing users to make informed decisions before actually needing to charge, thereby reducing time loss during charging planning
2Adaptability or versatility
If the charging station network is expanded to provide more charging options, then user convenience improves, but the infrastructure complexity and investment requirements increase
Solution Approach 1:
The system achieves versatility through a universal charging planning assistant that works across different vehicle types, charging station networks, and user preferences, providing adaptability without requiring complex infrastructure changes by leveraging software-based solutions
3Adaptability or versatility
If charging interfaces are standardized across all electric vehicles and charging stations, then compatibility improves, but the flexibility to use different charging technologies and the time required to adapt to new standards are affected
Solution Approach 1:
The system acts as an intermediary by preselecting charging stations with compatible interfaces based on vehicle characteristics, thereby ensuring compatibility without requiring physical interface standardization across all vehicles and stations, reducing the complexity of direct vehicle-station interface matching
Data Source
AI summary
A method for determining an intelligent preselection of suitable charging stations for involves providing an indication to perform a charging stop at a suitable charging station depending on a recorded variable in the form of at least one vehicle requirement, user requirement and/or environmental factor. A value of at least one vehicle requirement, user requirement, environmental factor, and/or a journey-specific factor deviating from the recorded variable is estimated by evaluating the recorded variable and at least one suitable charging station for carrying out the charging stop is suggested depending on the recorded variable and the estimated value by a comparison of the requirements and/or factors with at least one charging station-specific attribute.