Master-Slave EV Charging Pile Load Balancing for Overload Prevention
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Solution Overview
Problem
Existing EV charging technologies face challenges such as insufficient charging station capacity, system overload during high-power charging, and inefficient energy distribution, which hinder quick and efficient charging, especially in scenarios with limited computing resources and poor network connectivity.
Innovation Solution
A method and system for dynamic load balancing among multiple AC charging piles using a novel greedy and compression algorithm (GCA), which models EV charging as a three-machine scheduling problem, prevents overload, improves energy utilization, and balances phases, while also enabling offline deployment and phase reconfiguration for flexible charging management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If high-power charging is applied to EVs simultaneously, then charging speed is improved, but system overload occurs and load capacity is reduced
Solution Approach 1:
The patent implements dynamic load balancing that continuously adjusts charging power distribution based on real-time system state. The master charging pile monitors available current and dynamically reallocates power among multiple slave charging piles, transforming the static power distribution into a dynamic adaptive system that prevents overload while maintaining high charging speeds.
Solution Approach 2:
The system changes the operating parameters of charging piles by adjusting charging current and power allocation in real-time. Based on the available current from the power supply and the charging states of multiple EVs, the system dynamically modifies charging parameters to optimize both charging speed and system reliability, avoiding fixed parameter limitations.
2Adaptability or versatility
If the number of charging stations is increased to meet EV demand, then charging accessibility is improved, but system complexity and infrastructure cost increase
Solution Approach 1:
The patent merges multiple charging piles into a coordinated system where one master charging pile manages several slave charging piles. This consolidation allows the system to serve multiple EVs simultaneously through intelligent power distribution, effectively increasing charging accessibility without proportionally increasing infrastructure complexity, as shared power supply and control resources are utilized efficiently.
Solution Approach 2:
The master charging pile performs multiple functions: it monitors power supply status, manages multiple slave charging piles, allocates power dynamically, and coordinates charging schedules. This multi-functionality reduces the need for separate control systems at each charging location, thereby improving accessibility while controlling system complexity through centralized intelligent management.
3Productivity
If load balancing algorithm is implemented in real-time, then energy distribution efficiency is improved, but computing resource requirements increase
Solution Approach 1:
The system performs preliminary assessments of charging demands and power availability before actual charging begins. By pre-evaluating the charging states of multiple EVs and the available power supply capacity, the master charging pile can pre-allocate power distribution strategies, reducing the complexity of real-time computations during active charging while maintaining high energy distribution efficiency.
Data Source
AI summary
A method is provided for charging one or more electric vehicles. The method comprising: receiving, by a master charging pile, real-time available current information related to a main power supply; receiving, by the master charging pile, latest charging current information related to the master charging pile and one or more slave charging piles, the latest charging current information comprising charging modes and a list of requested charging current for the master charging pile and the one or more slave charging piles; generating, by the master charging pile, charging control signals by processing the real-time available current information and the latest charging current information by applying a load balancing algorithm; and applying the charging control signals to the master charging pile and the one or more slave charging piles for controlling charging of the one or more electric vehicles.