Movable Battery Grouping for Predicted Station Charge-Discharge Demand
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Solution Overview
Problem
Existing systems face challenges in effectively utilizing and managing movable batteries across multiple stations, particularly in optimizing charging and discharging operations based on predicted usage patterns and power consumption demands.
Innovation Solution
A system that classifies movable batteries into groups based on charging rates and controls their distribution across stations to meet predicted usage and power demand, transferring batteries between groups to optimize charging and discharging operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If movable batteries are classified into groups based on charging rates and controlled across multiple stations, then the efficiency of battery resource utilization is improved, but the system complexity increases
Solution Approach 1:
The system segments movable batteries into different groups based on their charging rates (first group with first charging rate, second group with second charging rate). This segmentation allows the system to manage batteries with different characteristics separately, optimizing charging strategies for each group while improving overall resource utilization efficiency.
Solution Approach 2:
The system designates certain stations as transferable stations that can handle multiple functions: charging batteries, transferring batteries between groups, and managing power consumption. This multi-functionality reduces the need for specialized infrastructure and improves battery resource utilization across the network.
2Adaptability or versatility
If batteries are transferred between groups based on power consumption prediction, then the response to power demand is improved, but the control complexity increases
Solution Approach 1:
The system performs preliminary classification of movable batteries into groups based on their charging rates before power consumption occurs. This advance organization allows for efficient power demand response, as batteries are already positioned in appropriate groups for their charging characteristics, reducing the need for complex real-time control decisions.
Solution Approach 2:
The system uses power consumption prediction as feedback to dynamically transfer batteries between groups. The control unit monitors predicted power consumption and automatically transfers batteries from the first group to the second group or vice versa, creating a closed-loop control system that adapts to power demand while maintaining manageable complexity through automated decision-making.
3Reliability
If the system controls charging and discharging operations across multiple stations, then the power network stability is improved, but the operational complexity increases
Solution Approach 1:
The system implements dynamic control of charging and discharging operations at transferable stations. The control unit can flexibly adjust battery operations based on real-time power consumption predictions and grid conditions, allowing the system to respond to changing power network requirements while maintaining stability through automated, adaptive control rather than rigid operational procedures.
Data Source
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AI summary
[Abstract][Solving Means] A system is configured to control a station that is configured to charge and discharge a plurality of movable batteries. The system includes: a classification unit configured to divide the plurality of movable batteries that are connected to the station, into a plurality of groups based on respective charging rates of the plurality of movable batteries; and a control unit configured to control ratios or a number of batteries belonging to each of the plurality of groups in each time window, based on a prediction of use in the station. A method for controlling a station that is configured to charge and discharge a plurality of movable batteries, includes: dividing the plurality of movable batteries that are connected to the plurality of stations , into a plurality of groups based on respective charging rates of the plurality of movable batteries; and controlling ratios or a number of batteries belonging to each of the plurality of groups in each time window, based on a prediction of use in the station.