Power Storage Charging Reselection for Stable Energy Management
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Solution Overview
Problem
In energy management systems using power storage devices, such as those on battery electric vehicles, the maximum charging power decreases when any power storage device becomes fully charged, potentially leading to insufficient charging of electric power required for energy management.
Innovation Solution
An energy management method that determines whether the current time is within a target period and reselects power storage devices to prevent full charging, prioritizing those with earlier charging time limits or lower remaining power storage amounts, ensuring that none reach full charge within the target period.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If power storage devices are charged simultaneously to execute energy management with greater charging power, then charging power is improved, but maximum charging power decreases when any power storage device becomes fully charged
Solution Approach 1:
The system dynamically reselects the target power storage device based on real-time charging states. When the current target device reaches a predetermined charging threshold, the system switches to a different target device, enabling adaptive control that maintains optimal charging power throughout the energy management period
Solution Approach 2:
The system implements periodic reselection of target power storage devices at predetermined time intervals or when charging thresholds are reached. This periodic switching ensures that no single device remains charged continuously, thereby maintaining maximum charging power availability across the device group
2Reliability
If target resource is reselected to suppress full charging of power storage devices, then maximum charging power is maintained, but remaining power storage amounts may not reach target values by scheduled departure times
Solution Approach 1:
The system performs preliminary selection of target power storage devices based on predicted departure times and required power storage amounts. By anticipating future needs and pre-planning charging targets, the system ensures that devices are charged to appropriate levels before departure without requiring full charging
Solution Approach 2:
The system continuously monitors the charging states of power storage devices and uses this feedback to adjust target device selection. When a device approaches its target charging amount or departure time nears, the system receives feedback and switches to alternative target devices, ensuring both power maintenance and adequate charging
3Productivity
If power storage devices are charged to target charging amounts, then energy management efficiency is improved, but the state in which devices reach full charge causes decrease in maximum charging power
Solution Approach 1:
The system charges power storage devices to predetermined target amounts that are intentionally set below full charge capacity. This partial charging approach prevents the harmful effect of full charging while still achieving sufficient energy management efficiency by maintaining adequate power storage levels
Data Source
AI summary
An energy management method includes determining whether a current time is within a target period, and executing energy management within the target period by a target resource selected from among a plurality of power storage devices. The executing the energy management includes charging the target resource to execute the energy management within the target period, and reselecting the target resource from among the power storage devices for suppression of a state in which each of the power storage devices reaches a target charging amount within the target period.