EV Charging Priority Control Based on User Schedules
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Solution Overview
Problem
Existing charging systems for electric vehicles do not consider the user's schedule when prioritizing charging, leading to incomplete charging when the vehicle is needed, resulting in potential unusability.
Innovation Solution
A server system that acquires user schedule information and sets charging priorities for electric vehicles based on their associated users' schedules, biological data, and weather forecasts to ensure timely charging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If charging is prioritized based on smallest SOC alone, then charging efficiency is improved, but charging completion timing deteriorates
Solution Approach 1:
The server performs preliminary actions by acquiring schedule information in advance and predicting future SOC values before charging decisions are made. This allows the system to anticipate when vehicles will need charging and prepare accordingly, ensuring charging completion by the required time while maintaining efficient resource utilization.
Solution Approach 2:
The charging priority determination is made dynamic by continuously updating predictions based on scheduled charging amounts and time-varying SOC values. The system adapts charging priorities in real-time based on changing conditions such as schedule updates and current battery states, rather than using static SOC-based priorities.
2Device complexity
If charging is supplied in order of smaller SOC, then power distribution is simplified, but user availability deteriorates
Solution Approach 1:
The server acts as an intermediary between the charging infrastructure and vehicles, handling the complex calculations of priority determination based on schedule information. This intermediary role allows the underlying power distribution system to remain simple while the server performs the sophisticated analysis needed to ensure user availability through timely charging completion.
3Device complexity
If charging priority is based on SOC only, then charging control is simplified, but charging timeliness deteriorates
Solution Approach 1:
The system performs preliminary acquisition of schedule information and preliminary calculation of predicted SOC values before charging control is executed. This advance preparation allows the charging control mechanism to remain relatively simple while ensuring timeliness by having the necessary information and predictions ready beforehand.
Solution Approach 2:
The system implements feedback by continuously monitoring actual charging progress and comparing it with predicted SOC values. This feedback loop allows the charging control to adjust and maintain timeliness while keeping the control logic manageable through iterative refinement rather than overly complex upfront planning.
Data Source
AI summary
A server includes a processor configured to: acquire schedule information on each of a plurality of users; set a charging priority at a time of charging each of a plurality of moving objects based on the schedule information on each of the plurality of users, each of the plurality of moving objects being preliminarily associated with each of the plurality of users, and including a rechargeable secondary battery; and charge each of the plurality of moving objects based on the charging priority.