Charging Station Lane Control for EV Queue Congestion
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Solution Overview
Problem
Conventional electric vehicle charging methods often lead to congested charging stations, longer charge times, and decreased productivity due to simultaneous vehicle charging during peak hours.
Innovation Solution
Implementing a dense arrangement of charging lanes and components within stations, along with a centralized charging coordinator to manage a dynamic charging schedule, instruct vehicles to navigate efficiently within the charging station, and determine optimal charging times based on battery state and service demands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If multiple vehicles charge simultaneously at charging stations, then charging convenience is improved, but congestion and wait times increase
Solution Approach 1:
The system performs preliminary actions by predicting future charging demand and proactively scheduling vehicles to charge during off-peak periods. The coordinator analyzes historical data and service patterns to determine optimal charging times before congestion occurs, instructing vehicles to charge in advance when stations are less busy.
Solution Approach 2:
The system implements continuous feedback loops where the charging coordinator monitors real-time station occupancy, charging rates, and vehicle service schedules. This feedback enables dynamic adjustment of charging instructions, routing vehicles to alternative stations or time slots based on current congestion levels and predicted future states.
2Ease of operation
If charging stations are located at accessible positions, then charging availability is improved, but geographic footprint increases
Solution Approach 1:
The system segments the charging network into multiple distributed stations rather than one large centralized facility. Each station serves a specific geographic zone or service hub, allowing vehicles to access charging at nearby locations without requiring long-distance travel to a single large station complex.
Solution Approach 2:
The system adds the time dimension to charging availability by implementing dynamic scheduling across multiple stations. Instead of expanding horizontally with one massive station, the network distributes charging capacity across multiple smaller stations and optimizes utilization through temporal scheduling, effectively increasing capacity without proportional increases in any single site's footprint.
3Reliability
If vehicles charge when battery reaches low state of charge, then battery safety is improved, but service productivity decreases
Solution Approach 1:
The system performs preliminary charging actions by scheduling vehicles to charge before their battery reaches critical low levels. The coordinator analyzes service schedules and battery state trends to proactively assign charging tasks that maintain battery safety margins while minimizing disruption to service operations.
Solution Approach 2:
The system implements dynamic charging scheduling that adapts to changing service demands and battery states. Rather than using fixed thresholds, the coordinator continuously adjusts charging instructions based on real-time data, optimizing the balance between battery safety requirements and service productivity by charging vehicles at dynamically determined optimal moments.
Data Source
AI summary
A dense charging station for charging the battery may have lanes arranged in parallel, and each of the lanes may have sequential charging locations. A vehicle utilizing the charging station may position itself at the first available charging location, being receiving energy, and determine if a subsequent charging station becomes available in the lane, and then position itself at the subsequent charging location, once available. Multiple charging stations may be required to maintain a threshold power state for individual vehicles in a fleet of vehicles providing a service for a geographic region. A charging coordinator may determine when a battery of a vehicle does not satisfy a threshold power state and requires a recharge. Additionally, the charging coordinator may determine a candidate charging station from among multiple charging stations associated with the geographic region.