Server-Based EV Charging Point Selection Using Driving History
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Solution Overview
Problem
Existing techniques for electric vehicle charging fail to provide personalized battery level calculations and charging point notifications based on user and vehicle characteristics, leading to an uncomfortable driving experience.
Innovation Solution
A system comprising a portable communication terminal and a server that acquires and processes current location, destination, and power source level information to select and notify the user of optimal charging points based on driving history and real-time conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If generic charging point notification is provided without considering user characteristics, then the system complexity is reduced, but the driving comfort and personalization are worsened
Solution Approach 1:
The server accumulates and analyzes user driving history information in advance, including driving routes, battery consumption patterns, and charging behaviors. This preliminary data collection and analysis enables the system to provide personalized charging recommendations without increasing real-time computational complexity, thereby improving driving comfort while maintaining system efficiency
Solution Approach 2:
The server acts as an intermediary between the portable communication terminal and the charging infrastructure. It processes user characteristics and driving history, then provides optimized charging point notifications. This intermediary role allows complex personalization logic to be centralized on the server side, keeping the terminal device simple while delivering personalized service
2Measurement precision
If real-time location and power source level information processing is implemented, then charging point notification accuracy is improved, but information processing time and energy consumption are increased
Solution Approach 1:
The server pre-processes and stores driving history information, including typical routes, battery consumption rates, and preferred charging locations. When real-time location and power source level data are received, the server quickly matches this data against pre-analyzed patterns, significantly reducing processing time while maintaining high notification accuracy
Solution Approach 2:
The system continuously receives feedback from the portable communication terminal regarding current location, destination, and power source level. This feedback loop allows the server to refine charging recommendations based on actual driving conditions, improving accuracy over time while using efficient query mechanisms to minimize processing delays
3Adaptability or versatility
If driving history information is accumulated and analyzed, then personalized charging recommendations are improved, but data storage requirements and processing complexity are increased
Solution Approach 1:
The server serves as an intermediary that centralizes the accumulation and analysis of driving history information. Instead of requiring complex processing capabilities in the portable communication terminal, all data aggregation, pattern recognition, and personalization logic are handled by the server. This approach enables high adaptability and personalization while keeping the terminal device simple
Solution Approach 2:
The server transforms raw driving history data into meaningful parameters and patterns, such as average battery consumption per route, typical charging intervals, and preferred charging locations. By changing the parameters from raw data to processed insights, the system achieves high personalization capability while simplifying the complexity of data handling
Data Source
AI summary
A portable communication terminal includes a current location/destination information acquirer that acquires current location information and destination information of a vehicle, a power source level information acquirer that acquires, from the vehicle, power source level information representing a remaining level of a power source, and a first transmitter that transmits the current location information, the destination information, and the power source level information to a server. A server includes a first receiver that receives, from the first transmitter, the current location information, the destination information, and the power source level information, an accumulator that accumulates past driving history information using the vehicle and a plurality of replenishment enable points representing positions where the power source of the vehicle can be replenished, a selector that selects, based on the current location information, the destination information, and the power source level information, which are received, and the accumulated driving history information, a replenishment point representing a position where the power source of the vehicle should be replenished from the plurality of replenishment enable points, and a second transmitter that transmits information about the selected replenishment point to the portable communication terminal.