EV Charging Information Processing Device for Scheduled Parking
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Solution Overview
Problem
Users of electric vehicles face challenges in conveniently determining available vehicles with power supply functions for charging, as existing systems lack accurate information on scheduled parking locations and times of vehicles with power supply capabilities.
Innovation Solution
An information processing device and method that receives requests from user terminals for vehicles with power supply functions, acquires and transmits scheduled parking locations and times of vehicles with power supply capabilities, enabling users to determine suitable vehicles for charging through a network-connected server and in-vehicle devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users rely on existing vehicle-to-vehicle communication systems to find charging vehicles, then basic connectivity is achieved, but accurate information on scheduled parking locations and times is not provided
Solution Approach 1:
The server acquires and stores scheduled parking location and time information in advance before users need to find charging vehicles. By pre-collecting parking schedule data from multiple vehicles, the system ensures accurate information is available when users submit charging requests, eliminating the need for real-time information gathering and improving both information accuracy and user convenience.
2Reliability
If the system provides real-time vehicle location tracking, then charging availability information is improved, but energy consumption and system complexity increase
Solution Approach 1:
Instead of continuous real-time tracking, the system collects parking schedule information in advance and stores it on the server. This preliminary action allows the system to provide reliable charging availability information based on pre-acquired parking schedules, eliminating the need for continuous energy-consuming location tracking while maintaining information reliability.
3Device complexity
If users manually search for available charging vehicles, then system complexity is reduced, but time consumption and user effort increase
Solution Approach 1:
The server automatically performs the task of matching users with available charging vehicles by comparing user requests against stored parking schedule information. This self-service automation eliminates manual searching by users, significantly reducing time consumption and user effort while the system maintains manageable complexity through automated information processing.
Data Source
AI summary
In the information processing device according to the present disclosure, the control unit receives a first request requesting information on a second vehicle having a power supply function from a first terminal corresponding to the first vehicle. The control unit acquires the scheduled parking location and the scheduled parking time period of the second vehicle. The control unit generates first information including the scheduled parking location and the scheduled parking time period of the second vehicle, and transmits the generated first information to the first terminal.