EV Charging Station Recommendation by User Charging Intent
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Solution Overview
Problem
Existing systems for recommending charging stations to electric vehicles often suggest unsuitable locations, failing to consider user preferences for parking and charging, such as near parks or shopping centers.
Innovation Solution
A method and apparatus that determine a suitable charging area based on user preferences and charging intent, using a client device in the vehicle to search for and recommend charging stations with suitable charging rounds and current statuses, ensuring alignment with personal preferences for either charge-and-go or charge-and-park scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If charging stations are searched using navigation systems treating them as POIs, then charging station locations can be found, but the recommended charging stations do not match user preferences for parking and charging locations
Solution Approach 1:
The system pre-establishes user preference profiles and charging intent classifications before the actual charging search. By preliminarily categorizing users into charge-and-go or charge-and-park groups and storing their preferred locations, the system avoids complex real-time analysis during charging searches, thus improving recommendation accuracy without significantly increasing operational complexity.
Solution Approach 2:
The system incorporates user feedback mechanisms where user selections and behaviors are continuously monitored and used to refine preference profiles. This feedback loop enables the system to learn and adapt to user preferences over time, progressively improving recommendation accuracy while maintaining a manageable system structure through iterative optimization.
2Ease of operation
If the system considers user preferences and charging intent, then charging station recommendations become more accurate, but the system complexity increases
Solution Approach 1:
The system segments users into distinct groups (charge-and-go, charge-and-park) based on their charging intent, and applies different recommendation strategies to each segment. This segmentation simplifies the overall system complexity by breaking down the complex problem of personalized recommendation into manageable segments with specific handling rules for each user type.
Solution Approach 2:
The system changes key parameters such as charging intent classification and preference weights to adapt recommendations to different user needs. By adjusting these parameters based on user profiles rather than building entirely different system architectures, the system improves ease of operation while controlling complexity through parameter-based flexibility.
Data Source
AI summary
The present invention relates to method and apparatus for recommending a charging station, the method includes: determining, based on personal preference information of a user of an electric vehicle, a specific area reachable by the electric vehicle and suitable for charging the electric vehicle, when receiving a request for searching for a charging station for the electric vehicle; recommending a suitable charging station located in the specific area to the electric vehicle for charging. A suitable charging station may be recommended to the electric vehicle for charging with the method and apparatus.