EV Charging Profile Scheduling for Fleet Power Peak Control
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Solution Overview
Problem
The integration of large-scale electric vehicles into power systems leads to uneven and unpredictable demand profiles, causing potential bottlenecks in supply capacity and equipment dimensioning issues, particularly in managing the charging of fleets at shared locations.
Innovation Solution
A method and apparatus for determining a charging profile for electric vehicles based on battery characteristics, available power, and vehicle availability, using an optimization process to reduce charging variations, minimize stress on batteries, and maximize charging levels, while considering power supply limits and constraints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If large-scale electric vehicles are integrated into power systems, then the potential for exploiting environmentally friendly energy sources is improved, but uneven and unpredictable aggregated demand profiles with high power absorption peaks occur
Solution Approach 1:
The charging system dynamically adjusts charging rates based on real-time power availability, vehicle battery states, and predicted arrival/departure times. The energy management system continuously optimizes charging profiles to smooth power absorption while ensuring vehicles are charged sufficiently for their scheduled operations, thereby reducing peak demand without compromising environmental benefits
Solution Approach 2:
The system performs preliminary scheduling and prediction of vehicle arrivals and departures to pre-plan charging strategies. By anticipating future power需求的 patterns and vehicle availability, the system can prepare optimized charging schedules that avoid集中 power absorption, allowing gradual charging during off-peak periods while ensuring vehicles are ready for operation
2Device complexity
If charging is managed without optimization, then charging operations are simple, but battery stress increases and lifetime is reduced
Solution Approach 1:
The energy management system continuously monitors battery state of charge, charging rates, temperature, and vehicle usage patterns, using this feedback to dynamically adjust charging parameters. This closed-loop control ensures charging operates within optimal ranges that extend battery life while maintaining efficient charging operations, with the system adapting to individual battery characteristics and usage requirements
Solution Approach 2:
The system varies charging parameters such as charging rate, voltage, and current based on battery state, vehicle requirements, and power availability. By changing these parameters dynamically rather than using fixed charging rates, the system reduces battery stress from aggressive charging while maintaining adequate charging speed, thereby extending battery lifetime without significantly complicating the charging process
3Device complexity
If charging profiles are determined without considering vehicle availability, then charging control is simplified, but fleet operation reliability deteriorates
Solution Approach 1:
The system receives and processes advance information about vehicle arrival and departure schedules, using this preliminary data to pre-calculate optimal charging profiles. By knowing when vehicles will be available and when they need to be ready for operation, the system can schedule charging to ensure fleet reliability without requiring complex real-time adjustments or manual intervention
Data Source
AI summary
A method is disclosed for controlling the charging of at least one electric vehicle, in particular two or more electric vehicles, via at least one charger, in particular two or more chargers. In an embodiment, the method comprises determining a charging profile for charging at least one electric vehicle via at least one charger based at least on a characteristic of a battery of the at least one electric vehicle, information on available power, and an availability of the at least one electric vehicle, and providing an output to control charging by the respective charger in accordance with the determined charging profile.