Parked EV Charging Scheduling for Queue-Free Capacity Control
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Solution Overview
Problem
Existing electric vehicle charging systems face limitations in maximum charging speed and capacity, leading to queues and user inconvenience due to the lack of integration with parking information and charging concessions, particularly when multiple vehicles need rapid charging.
Innovation Solution
A method and system that utilize a mobile charging robot synchronized with parking space information, controlling charging intensity and calculating charges, allowing for scheduling and redistribution of charging services to improve user convenience and service quality by integrating parking and charging services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If fast charging is provided to multiple vehicles simultaneously, then charging speed is improved, but charging equipment capacity limitations cause queues and user inconvenience
Solution Approach 1:
The system performs preliminary scheduling of charging services by integrating parking information with charging demands. The management server allocates charging slots and sequences vehicles before actual charging begins, preventing queues by pre-organizing the charging workflow based on vehicle arrival predictions and charger availability.
Solution Approach 2:
The charging intensity is dynamically adjusted based on real-time charger status, vehicle battery levels, and predicted queue conditions. The system can switch between fast charging and slow charging modes adaptively, optimizing the balance between charging speed and overall service capacity utilization.
2Reliability
If charging equipment and capacity are redistributed among parked vehicles, then charging service quality is improved, but system complexity increases
Solution Approach 1:
The management server performs multiple functions including scheduling, monitoring, intensity control, and billing calculation within a single centralized platform. This multi-functional approach improves service quality through coordinated management while avoiding the complexity of multiple separate systems by consolidating control functions.
Solution Approach 2:
The system continuously monitors charging progress, vehicle battery status, and charger performance, using this feedback to dynamically adjust charging intensity and redistribute capacity. Real-time feedback loops enable adaptive optimization of charging service quality without requiring complex manual intervention.
3Productivity
If charging intensity is controlled based on vehicle information and parking space information, then charging efficiency is improved, but control system complexity increases
Solution Approach 1:
The system merges parking space information, vehicle information, and charging status into a unified management framework. By combining these data sources and controlling charging intensity through a single centralized server, the system improves charging efficiency through coordinated management while avoiding the complexity of multiple independent control systems.
4Ease of operation
If a queue system is implemented for fast charging, then charging order is managed, but user convenience deteriorates
Solution Approach 1:
The system eliminates physical queues by implementing preliminary digital scheduling. Vehicles are assigned charging slots in advance based on their parking information and charging demands, allowing users to proceed directly to charging without waiting in line. The management server pre-organizes the charging sequence to minimize waiting time while maintaining orderly resource allocation.
Data Source
AI summary
A parked vehicle charging method includes inputting vehicle information of a vehicle that is parked, parking space information, charging information requested by the vehicle, and necessary time information preliminarily secured by the vehicle to a management server, scheduling, by the management server, charging of the vehicle based on the requested charging information and the necessary time information of the vehicle, controlling, by the management server, charging intensity of charging equipment based on the vehicle information of the vehicle, the parking space information, and a charging schedule, and receiving, by the management server, charging result information from the charging equipment after charging end of the vehicle and calculating an amount of money to be charged to a user of the vehicle.