EV Charging Station Recommendations Using Average Stay Time
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Solution Overview
Problem
Electric vehicle drivers face inconvenience in finding suitable charging stations near their destinations due to the time-consuming process of determining stay times, searching for charging stations, and selecting based on charger speeds and types.
Innovation Solution
A charging station recommending apparatus and method that collects vehicle driving information, determines average stay times for each point of interest, and recommends suitable charging stations near a destination based on the target vehicle's charging needs and average stay times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If electric vehicle drivers manually determine expected stay time, search for charging stations, check charger speeds and types, then select a charging station, then user convenience is improved through accurate selection, but the time and effort required increases significantly
Solution Approach 1:
The system pre-calculates and stores average stay times for multiple points of interest before the user needs them. When a user requests charging station recommendations, the system retrieves pre-computed stay time data and combines it with real-time charging station information to provide immediate recommendations, eliminating the need for users to manually determine stay times during the charging search process
Solution Approach 2:
The system automatically collects charging station information including charger speeds and types, and autonomously matches this information with user requirements and average stay times. The recommendation system performs the entire selection process automatically without requiring users to manually check multiple charging station parameters, making the system serve itself in gathering and processing information
2Loss of information
If charging station information is disclosed to attract customers, then charging station visibility is improved, but the complexity of information processing and recommendation increases
Solution Approach 1:
The system transforms raw charging station information into meaningful parameters by calculating average stay times for different points of interest and charging station types. This parameter transformation simplifies the information structure, allowing the system to efficiently match charging stations with user needs based on pre-computed statistical parameters rather than processing individual raw data points
Data Source
AI summary
A charging station recommending apparatus for an electric vehicle includes a communication device configured to communicate with vehicles and charging stations, and a processor configured to determine an average stay time for each position of the vehicles by using vehicle driving information collected from the vehicles, and in response to a case where vehicle information is received from a target vehicle to recommend a charging station, to recommend a charging station near a destination to the target vehicle based on a time it takes for the target vehicle to reach the destination and charge to a target charging amount, and the average stay time for each position.