EV Charging Station Dynamic Assignment Algorithm
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Solution Overview
Problem
Existing electric vehicle charging systems are inflexible and inefficient, requiring longer charging times and not accommodating varying battery types or fluctuating renewable energy sources, leading to increased waiting and charging times, and suboptimal use of charging station capacity.
Innovation Solution
A method and system for dynamically assigning electric vehicles to charging stations based on calculated future charging profiles, optimizing parameters such as minimized waiting and charging times, and integrating renewable energy sources, using a charging station with multiple electric vehicle supply equipment and power grid connectivity for efficient power allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a first-in-first-out (FIFO) based assignment of electric vehicles to charging equipment is used, then the system is simple to operate, but the charging station capacity is not optimized and waiting times increase
Solution Approach 1:
The patent implements dynamic assignment of electric vehicles to charging equipment based on real-time charging profiles, battery types, and predicted charging durations. Instead of static FIFO queuing, the system continuously calculates optimal assignments using determined charging information and charging power information, allowing the charging station to adapt to varying conditions and maximize throughput while maintaining operational simplicity through automated control.
2Adaptability or versatility
If charging stations accommodate various types of batteries with different charging cycles, then adaptability to different electric vehicles is improved, but device complexity increases
Solution Approach 1:
The patent determines specific charging information for each electric vehicle including battery type, charging cycle requirements, and power capacity. The system adjusts charging parameters dynamically based on these vehicle-specific characteristics, allowing different battery types to be charged appropriately through a single multi-functional charging station rather than requiring separate specialized equipment for each battery type.
3Ease of manufacture
If charging stations operate without forecasting future charging profiles, then the system is easier to implement, but waiting times and energy inefficiency increase
Solution Approach 1:
The patent calculates future charging profiles by determining charging information and charging power information in advance before vehicles actually arrive at the charging station. This preliminary forecasting allows the system to pre-assign charging equipment and prepare optimal charging schedules, reducing waiting times when vehicles arrive while maintaining relatively simple implementation through automated calculation algorithms.
4Device complexity
If charging stations do not integrate renewable energy sources, then the system is simpler and more cost-effective, but sustainability and energy optimization are reduced
Solution Approach 1:
The patent integrates renewable energy sources and implements feedback mechanisms that monitor available green energy from sources like solar or wind power. The system uses this feedback to dynamically adjust charging operations, prioritizing vehicles that can be charged with available renewable energy and optimizing the timing of charging sessions to maximize utilization of sustainable energy sources, thereby improving energy efficiency and sustainability.
Data Source
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AI summary
The invention relates to a method for charging electric vehicles by a charging station having a plurality of electric vehicle supply equipment for charging, having the steps of a) Determining charging information of the electric vehicles b) Determining charging power information of the charging station, c) Determining charging power information of each electric vehicle supply equipment, d) Calculating at least one future charging profile for the charging station based on the determined charging power information of step b)and step c) and the determined charging information of step a), e) Selecting one calculated future charging profile according to at least one optimization parameter, f) Determining a sequence of electric vehicles for at least one electric vehicle supply equipment, wherein the sequence based on the selected future charging profile, g) Assigning the electric vehicles according to the corresponding determined sequence to the corresponding electric vehicle supply equipment and h) Charging the electric vehicles by the assigned electric vehicle supply equipment according to the determined charging information of the electric vehicles and the determined charging power information of the assigned electric vehicle supply equipment. The invention relates also to a charging station and a system for charging electric vehicles.