EV Charging Reservation Management via Battery and Demand Filtering
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Solution Overview
Problem
The practical limitations of electric vehicles, such as weight and charging time, hinder their full commercialization, and existing charging management systems face congestion issues due to multiple reservation requests, particularly when the requested charging amount is low or the remaining battery power is high, leading to inefficiencies in charging infrastructure utilization.
Innovation Solution
A method for managing electric vehicle charging reservations based on the requested charging amount and remaining battery power, which includes transmitting disapproval messages for insufficient or excessive requests, determining priority orders, and providing reservation guide information to optimize charger usage and reduce waiting times by considering the number of available electric chargers and predicted charging times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If multiple reservation requests are accepted for the same charging station, then user convenience is improved, but charging wait time increases and system congestion occurs
Solution Approach 1:
The system performs preliminary evaluation of reservation requests before acceptance, assessing charging amount, battery power level, and charger availability in advance. This prevents over-acceptance of reservations that would lead to waiting, by proactively filtering out requests that cannot be fulfilled immediately or would cause congestion.
Solution Approach 2:
The system provides feedback to users about reservation status, waiting time predictions, and charger availability. This feedback mechanism allows users to adjust their expectations and the system to manage reservations more effectively, reducing unnecessary waiting by informing users of actual charging conditions.
2Adaptability or versatility
If reservations for small charging amounts are accepted, then user flexibility is improved, but reservation congestion increases and system efficiency deteriorates
Solution Approach 1:
The system dynamically adjusts reservation acceptance criteria based on current charger availability, time of day, and overall system load. By changing parameters such as minimum charging amount thresholds and priority rules, the system maintains flexibility for users while preventing congestion during high-demand periods.
3Device complexity
If charging reservations are managed without priority differentiation, then system simplicity is maintained, but charging efficiency and battery performance optimization are reduced
Solution Approach 1:
The system applies different priority rules and management strategies to different types of reservations based on specific conditions such as battery power level, charging amount, and user needs. Rather than a uniform approach, local quality differentiation allows critical charging needs to be prioritized while maintaining simple processing for standard cases.
Data Source
AI summary
The disclosure is related to managing a charging reservation of an electric vehicle. Particularly, the disclosure relates to managing an electric vehicle charging reservation based on at least one of a requested charging amount and a remaining battery power amount.