Battery Grouping Control for Demand-Responsive Charging Stations
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Solution Overview
Problem
Current power management systems for electric vehicles and stations lack efficient methods to dynamically adjust battery charging and discharging rates to match demand response and power network fluctuations, leading to suboptimal use of energy resources.
Innovation Solution
A system that classifies batteries into groups based on charging rates and controls their distribution across stations to optimize charging and discharging in response to predicted power demands, allowing for efficient aggregation and supply of power to the grid, thereby managing power resources effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If batteries are charged and discharged without classification and dynamic adjustment, then the system operation is simple, but the power resource utilization efficiency deteriorates
Solution Approach 1:
The patent segments batteries into different groups based on their charging rates (first charging rate group, second charging rate group, etc.) and segments stations into different types (first station type with feeding function, second station type without feeding function). This segmentation allows the system to efficiently match battery characteristics with station capabilities and demand response requirements, thereby improving power resource utilization efficiency without requiring complete system redesign
Solution Approach 2:
The patent implements dynamic control by adjusting the number of batteries in each group at different time windows based on predicted power demands and demand response requirements. The system dynamically modifies charging rates, discharging rates, and battery allocations in real-time, transforming a static battery management approach into a dynamic one that adapts to changing grid conditions and maximizes resource utilization
2Adaptability or versatility
If batteries are dynamically adjusted to match demand response, then the power resource management is optimized, but the control system complexity increases
Solution Approach 1:
The patent performs preliminary actions by predicting power demands and demand response requirements in advance of actual grid operations. The system pre-calculates optimal battery allocations and charging/discharging schedules for different time windows, allowing it to quickly respond to actual grid conditions without real-time computational complexity. This advance planning enables high adaptability while keeping real-time control relatively simple
Solution Approach 2:
The patent utilizes parameter changes by modifying charging rates and discharging rates based on battery group classifications and time window characteristics. The system adjusts these parameters dynamically to match demand response requirements, enabling flexible adaptation to different grid conditions through controlled parameter variation rather than complex system reconfiguration
3Productivity
If charging and discharging rates are not optimized, then the system operation is straightforward, but energy distribution efficiency deteriorates
Solution Approach 1:
The patent applies local quality by assigning different charging rates and discharging rates to different battery groups based on their specific characteristics and the requirements of different stations. First charging rate group batteries are allocated to first station type with higher charging rates, while second charging rate group batteries are allocated to second station type with lower charging rates. This localized optimization ensures each battery operates at its optimal efficiency point, improving overall energy distribution efficiency and reducing energy waste
Data Source
AI summary
A system controls a station that charges and discharges a plurality of movable batteries. The system includes: a classification unit for dividing the movable batteries that are connected to the station, into a plurality of groups based on respective charging rates of the movable batteries; and a control unit for controlling ratios or a number of batteries belonging to each of the groups in each time window, based on a prediction of use in the station. A method for controlling a station for charging and discharging a plurality of movable batteries, includes: dividing the movable batteries that are connected to the plurality of stations, into a plurality of groups based on respective charging rates of the movable batteries; and controlling ratios or a number of batteries belonging to each of the groups in each time window, based on a prediction of use in the station.