EV Charging Queue Control Using Waiting Time and Charge Demand
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Solution Overview
Problem
Existing electric motor vehicle charging systems operate on a first-in, first-out basis, leading to waiting times for charging services.
Innovation Solution
A system and method that determine a charging order based on the required charging amount and available waiting time, using a controller to manage switching circuits and charging station connectors to optimize charging operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If charging facilities operate on a first-in, first-out basis, then the operation scheme is simple, but vehicles experience waiting delays for charging
Solution Approach 1:
The charging order is dynamically adjusted based on real-time parameters including required charging amount and available waiting time. The controller continuously monitors vehicle conditions and reorders charging queues to minimize waiting time while adapting to changing conditions, transforming the static FIFO system into a dynamic optimization system.
Solution Approach 2:
The system changes the ordering parameter from simple arrival time (FIFO) to a composite parameter that includes required charging amount and available waiting time. This parameter transformation allows the system to prioritize vehicles that need urgent charging or have limited waiting time, resolving the contradiction between operational simplicity and time efficiency.
2Loss of time
If the controller dynamically adjusts charging order based on required charging amount and available waiting time, then waiting time is reduced, but the control system complexity increases
Solution Approach 1:
The controller breaks down the complex charging management task into distinct functional modules: one module receives and stores vehicle information (required charging amount and available waiting time), another module processes and sorts vehicles based on these parameters, and a final module executes the charging sequence. This segmentation reduces controller complexity by organizing functions into manageable, independent units.
Solution Approach 2:
The controller acts as an intermediary between the charging facility and multiple vehicles, mediating the allocation of charging resources. It receives charging requests, processes them through a sorting algorithm based on defined parameters, and outputs an optimized charging sequence. This intermediary role simplifies the overall system by centralizing the decision-making logic in a single coordinating component rather than requiring complex peer-to-peer negotiations.
Data Source
AI summary
An embodiment system for charging an electric motor vehicle includes a first switching circuit configured to select one of at least two chargers, a second switching circuit configured to select a charging station connector to be connected to the charger selected by the first switching circuit, and a controller configured to control the first switching circuit and the second switching circuit based on a predetermined charging order to allow charging of a battery of a vehicle that is connected to the charging station connector to be performed, sense connection of a charging connector of the vehicle to the charging station connector, receive a required charging amount and an available waiting time of the vehicle, and determine the charging order based on the required charging amount and the available waiting time.