EV Charging Request Prioritization Under Site Power Limits
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Solution Overview
Problem
Existing electric vehicle charging stations are limited by their maximum load capacity, leading to inconvenience and dissatisfaction due to prolonged charging times and inability to meet varying user demands, as conventional load adjustment operations reduce power output across all stations uniformly.
Innovation Solution
A dynamic electric vehicle charging management system that allocates power output based on real-time demand and user-specific criteria, using a server to select charging stations with upper power limits and adjust operations according to energy management conditions, allowing for flexible power distribution and prioritization of charging requests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If conventional load adjustment operation reduces power output of all charging stations uniformly, then the number of vehicles that can be charged simultaneously increases, but the average charging time becomes longer and user satisfaction decreases
Solution Approach 1:
The patent applies local quality by differentiating power allocation across different charging stations and user groups. Instead of uniform power reduction, the system identifies specific charging stations and user segments that should receive priority power allocation based on their characteristics, needs, and contributions to the charging ecosystem, thereby maintaining charging speed for priority users while enabling more simultaneous charging operations overall
Solution Approach 2:
The system dynamically changes power allocation parameters based on real-time conditions, user attributes, and charging station characteristics. By adjusting power distribution parameters selectively rather than uniformly, the system optimizes both the number of simultaneous charging operations and the charging experience of priority users
2Quantity of substance
If conventional load adjustment operation reduces power output of all charging stations uniformly, then the number of vehicles that can be charged simultaneously increases, but user satisfaction and charging habits are not considered
Solution Approach 1:
The system implements local quality by tailoring power allocation to specific user groups and charging station characteristics. Different user segments (e.g., subscription users, priority members) receive differentiated power allocation based on their attributes and agreements, while charging stations are prioritized based on their operational status, location, and capacity, thereby achieving both increased simultaneous charging and personalized user accommodation
Solution Approach 2:
The patent applies dynamics by making power allocation adaptive and flexible rather than static and uniform. The system continuously adjusts power distribution based on real-time user requests, charging station status, and predefined user attributes, enabling it to adapt to varying user needs and charging patterns while managing overall load effectively
3Quantity of substance
If more electric vehicle charging stations are installed in a charging field, then charging availability increases, but the existing maximum load capacity is exceeded and power facility updates are required
Solution Approach 1:
The system applies dynamics by implementing dynamic power allocation that adjusts in real-time based on active charging operations and user priorities. This allows the charging field to support more charging stations than the traditional static capacity would permit, as power is dynamically distributed to priority users and stations while maintaining overall load within facility limits
Solution Approach 2:
The patent applies segmentation by dividing the total power capacity into allocated portions for different user groups and charging stations. By segmenting power allocation based on user attributes, subscription levels, and station priorities, the system enables multiple charging operations to proceed simultaneously without exceeding the overall facility capacity, effectively supporting more stations than traditional uniform allocation would allow
Data Source
AI summary
Electric vehicle charging management methods and systems are provided. First, a server receives a candidate charging request respectively from each of candidate charging stations or candidate mobile devices via a network. According to the candidate charging requests, at least one first charging station is selected from the candidate charging stations, and the first charging station is instructed to perform a first charging operation with an upper power limit value. The server sets the candidate charging requests of the candidate charging stations other than that of the first charging station to a pending state. When the first charging status information corresponding to the first charging operation meets an energy management condition, the server selects at least one second charging station from the candidate charging stations according to the candidate charging requests, and instructs the second charging station to perform a second charging operation with the upper power limit value.