EV Charging Scheduling Under Contracted Power Limits
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Solution Overview
Problem
Conventional electric vehicle charging systems often exceed contracted power consumption limits, leading to higher electricity bills when multiple vehicles charge simultaneously.
Innovation Solution
A scheduling method that dynamically adjusts charging based on departure order and real-time power consumption, prioritizing high-priority vehicles and adjusting power usage to prevent exceeding the contracted power limit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple electric vehicles charge simultaneously at the station, then the charging service coverage and vehicle availability are improved, but the power consumption exceeds the contracted capacity leading to higher electricity bills
Solution Approach 1:
The charging scheduling system dynamically adjusts charging parameters based on real-time conditions. The server determines charging sequences and power allocation dynamically according to vehicle departure times, battery states, and power consumption constraints, transforming the static charging process into a dynamic optimized system that adapts to changing conditions while maintaining service coverage.
Solution Approach 2:
The system changes charging parameters including charging sequence, power allocation ratios, and charging timing based on vehicle priority levels and departure schedules. By adjusting these parameters, the system ensures that high-priority vehicles receive adequate charging while limiting total power consumption to stay within contracted capacity, thereby resolving the contradiction between service coverage and power usage.
2Speed
If the charging station increases power consumption to charge more vehicles, then the charging speed and vehicle readiness are improved, but the electricity bill increases due to exceeding contracted capacity
Solution Approach 1:
The system applies partial charging action to lower-priority vehicles when power consumption is near the contracted limit. Instead of charging all vehicles to full capacity, the system charges high-priority vehicles fully while providing partial charging to lower-priority vehicles, ensuring critical vehicles are ready while controlling overall power consumption and electricity costs.
Solution Approach 2:
The charging scheduling system continuously monitors power consumption, vehicle battery states, and departure times, then adjusts charging speed and power allocation in real-time. This feedback mechanism ensures charging speed is optimized for vehicle readiness while preventing power consumption from exceeding contracted capacity, thereby controlling electricity costs.
3Reliability
If the station charges all vehicles to full capacity, then the vehicle availability and service quality are improved, but the power consumption management becomes complex and costly
Solution Approach 1:
The system segments vehicles into different priority levels based on departure times and service requirements. High-priority vehicles (those departing soon) receive full charging attention, while lower-priority vehicles receive reduced or delayed charging. This segmentation simplifies power consumption management by focusing resources on critical vehicles while maintaining overall vehicle availability.
Solution Approach 2:
The scheduling system performs preliminary assessment of vehicle charging needs based on departure times and battery states before actual charging begins. By pre-planning charging sequences and power allocation, the system ensures vehicles will be available when needed while simplifying real-time power management through advance preparation and structured scheduling.
Data Source
AI summary
A scheduling method for charging multiple electric vehicles includes: get a sorted list of an operation period; get an estimated charging power consumption required for charging each electric vehicle when each electric vehicle is connected to one of the charging machines and get an instant power consumption of an electricity consuming field; control one or more of the charging machines to correspondingly charge one or more of the plurality of electric vehicles with higher priority in a departure order based on the departure order information in the sorted list when a sum of the instant power consumption and the estimated charging power consumptions is greater than a regulated power consumption that is smaller than an upper limit power consumption of the electricity consuming field, thereby preventing the instant power consumption of the electricity consuming field from exceeding the upper limit power consumption.