Charging Allocation Control for Peak-Load EV Stations

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Solution Overview

Problem

The increasing demand for charging new energy vehicles at charging stations leads to high electrical grid loads and peak electricity prices, resulting in inefficient energy use and waste due to low user utilization rates during peak periods.

Innovation Solution

A charging allocation device for charging stations that includes sensors to collect data on the battery storage capacity, electrical grid supply features, and vehicle charging demands. A processor uses this data to determine an optimal charging allocation strategy, controlling the electrical grid or battery to efficiently charge vehicles based on cost and demand.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If charging stations charge multiple new energy vehicles during peak electricity consumption periods, then the user utilization rate of charging stations increases, but the electricity cost increases and energy waste occurs due to surplus electricity generation

Engineering Contradiction:

Improveuser utilization rate of charging stationVSAvoidenergy waste from surplus electricity

Core Design Contradiction:

ProductivityVSLoss of energy

Solution Approach 1:

The system performs preliminary charging of vehicles during off-peak periods when electricity is abundant and cheap, storing energy in vehicle batteries before peak demand periods. This advance charging action reduces the need for charging during peak periods, thereby reducing energy waste from surplus electricity generation while maintaining high user utilization rates.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The charging allocation system dynamically adjusts charging strategies based on real-time electricity pricing, grid load conditions, and vehicle demand. By making charging power and timing flexible rather than fixed, the system optimizes the balance between utilizing charging station capacity and avoiding energy waste during peak periods.

Inventive Principle:

Principle #15Dynamics

2Adaptability or versatility

If charging stations charge multiple new energy vehicles, then the service coverage increases, but the load on the electrical grid increases leading to high electricity prices

Engineering Contradiction:

Improveservice coverage of charging stationVSAvoidelectricity cost for charging

Core Design Contradiction:

Adaptability or versatilityVSUse of energy by moving object

Solution Approach 1:

The system schedules charging activities in advance during off-peak periods when electricity prices are lower, allowing vehicles to be charged before peak demand periods. This preliminary charging action enables the charging station to serve multiple vehicles without incurring high peak-period electricity costs.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The charging allocation system continuously monitors electricity pricing signals, grid load conditions, and vehicle charging demands, then adjusts charging power allocation in real-time. This feedback mechanism enables the system to expand service coverage to multiple vehicles while dynamically avoiding high-cost charging periods.

Inventive Principle:

Principle #23Feedback

3Ease of operation

If charging stations operate during peak periods to meet vehicle demand, then the user experience improves, but the electricity cost increases

Engineering Contradiction:

Improveuser experience of charging serviceVSAvoidelectricity cost for charging

Core Design Contradiction:

Ease of operationVSUse of energy by moving object

Solution Approach 1:

The system provides advance charging recommendations to users, suggesting optimal charging times during off-peak periods when costs are lower. By planning charging in advance, users can maintain convenient charging services while avoiding high peak-period electricity costs.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The charging allocation system provides real-time feedback to users about current electricity prices, grid conditions, and personalized charging recommendations. This information feedback enables users to make informed decisions about when to charge, improving user experience while reducing overall charging costs.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20250074246A1Charging allocation devices, methods, and systems of charging stations

Publication Date: 2025.03.06 XCHARGE ENERGY USA INC

AI summary

The embodiments of the present disclosure provide a charging allocation device, method, and system of a charging station. The method is implemented based on the charging allocation device of the charging station. The charging allocation device of the charging station includes a first sensor, a second sensor, a third sensor, a charging module, and a processor. The method is executed by the processor. The method includes: determining an electrical storage feature based on first sensing information; determining an electrical supply feature based on second sensing information; determining a vehicle demand feature based on third sensing information; determining a charging allocation strategy of the charging station during a preset future time period based on the electrical storage feature, the electrical supply feature, the vehicle demand feature, and a charging target; and controlling, based on the charging allocation strategy, at least one of an electrical grid or a battery to charge, through the charging module, a target object according to at least one charging power within the preset future time period.