Battery Selection Device for Swap Stations Using Deterioration Prediction
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Solution Overview
Problem
In battery swap systems, the selection of batteries for charging at charging stations does not consider the varying deterioration rates of batteries with different remaining capacities, leading to uneven wear and tear, and existing technologies do not account for the overall deterioration of batteries in the station.
Innovation Solution
A battery selection device and method that acquires supply and preparation amount information for each battery, extracts suitable candidates based on scheduled loan times, and determines the battery with the least predicted deterioration for charging, taking into account quick charging and other charging methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If batteries with low remaining capacity are selected for charging, then the waiting time for loaning out is reduced, but the deterioration of batteries increases due to quick charging
Solution Approach 1:
The patent changes the selection parameter from simply choosing batteries with low remaining capacity to evaluating batteries based on predicted deterioration progress. The determination component calculates deterioration progress for each candidate battery and selects the one with the smallest predicted deterioration, thereby changing the decision criterion to balance speed and battery health.
2Reliability
If batteries with high remaining capacity are selected for charging, then battery deterioration is reduced, but the waiting time for loaning out increases
Solution Approach 1:
The patent performs preliminary calculation of deterioration progress for all candidate batteries before making the selection. The determination component predicts the deterioration that will occur during charging for each candidate and uses this pre-calculated information to make an optimal selection, rather than simply choosing based on current capacity levels.
3Device complexity
If any battery is selected without considering deterioration, then the charging operation is simplified, but the overall lifespan of batteries in the station decreases
Solution Approach 1:
The patent introduces feedback by calculating and comparing the predicted deterioration progress for each candidate battery. The determination component uses this feedback information to select the optimal battery, creating a closed-loop decision process that considers the long-term impact of each charging operation on battery lifespan.
Data Source
AI summary
A battery selection device has a preparation amount information acquisition component, a supply amount information acquisition component, a battery candidate extraction component, and a determination processor. The preparation amount information acquisition component acquires preparation amount information indicating the scheduled date and time of a loan and the required charge amount. The supply amount information acquisition component acquires supply amount information indicating the full charge power capacity and the current charge amount of each battery. On the basis of the preparation amount information and the supply amount information, the battery candidate extraction component selects loaner battery candidates, which are batteries that can be charged to the required charge amount by the scheduled date and time of the loan. The determination processor picks out a loaner battery on the basis of the predicted progress of deterioration of batteries.


