EV Charging Scheduling by Vehicle Ranking and Sequential Dispensers
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Solution Overview
Problem
Existing electric vehicle charging systems often require multiple dispensers to charge vehicles in parallel, leading to increased equipment usage and peak load demands on utility grids, and lack effective prioritization methods for charging vehicles based on urgency or state of charge.
Innovation Solution
A cloud-based computer system generates a schedule for a chain configuration of dispensers, determining the order and timing of vehicle charging based on vehicle data, including state of charge and dispatch schedules, to ensure high-priority vehicles are charged efficiently while minimizing grid strain.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple dispensers charge vehicles in parallel, then charging productivity is improved, but equipment quantity and peak load demand increase
Solution Approach 1:
The system segments the charging process into sequential time slots for different vehicles connected to the same dispenser chain. Instead of requiring multiple parallel dispensers, the system divides charging opportunities across time, allowing one dispenser to serve multiple vehicles sequentially. This reduces the total number of dispensers needed while maintaining overall charging productivity.
Solution Approach 2:
The system transitions from a spatial parallel charging approach (multiple dispensers charging multiple vehicles simultaneously) to a temporal sequential charging approach (one dispenser charging vehicles one after another). By adding the time dimension to the charging process, the system achieves the same productivity with fewer physical equipment resources.
2Productivity
If multiple dispensers charge vehicles in parallel, then charging productivity is improved, but peak load on utility grid increases
Solution Approach 1:
The system segments the power demand by distributing charging sessions across different time slots. Instead of all vehicles charging simultaneously (creating peak load), the system divides the total power demand into manageable segments delivered sequentially to different vehicles, reducing the peak load on the utility grid while maintaining overall charging productivity.
Solution Approach 2:
The system implements periodic action by cycling through connected vehicles in sequence, allocating charging time periods to each vehicle based on priority and state of charge. This periodic allocation of power delivery prevents sustained peak load conditions while ensuring all vehicles receive necessary charging over time.
3Ease of operation
If vehicles are charged without prioritization, then charging simplicity is maintained, but charging efficiency for high-priority vehicles decreases
Solution Approach 1:
The system implements feedback by continuously monitoring vehicle state of charge, priority levels, and dispatch schedules. Based on this feedback, the system dynamically adjusts charging allocation and dispenser assignment to ensure high-priority vehicles receive appropriate charging attention. This feedback mechanism maintains operational simplicity while significantly improving charging efficiency for priority vehicles.
Solution Approach 2:
The system performs preliminary action by pre-calculating charging schedules and priority rankings before charging begins. Vehicles are ranked by priority and state of charge in advance, and charging time slots are pre-allocated. This preliminary organization simplifies real-time operation while ensuring high-priority vehicles are charged efficiently without complex real-time decision-making.
Data Source
AI summary
A system including one or more processors is provided. The one or more processors can determine, responsive to an arrival of an electric vehicle at a dispenser of a plurality of dispensers coupled with a power module of a power cabinet, a status of each of the plurality of dispensers. The one or more processors can generate a schedule to control the plurality of dispensers based at least in part on the status of each of the plurality of dispensers. The one or more processors can provide the schedule to the power cabinet to cause the power cabinet to control the power module to deliver power to one of the plurality of dispensers in accordance with the schedule.