Reusable Secondary Cell Module Power Balancing by Degradation Prediction
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Solution Overview
Problem
Existing systems for setting power supply for reusable secondary cell modules struggle to accurately predict the suppliable quantity of power, leading to inefficiencies in reuse and potential premature replacement of cell packs.
Innovation Solution
A system that includes a history information collection unit, a cell performance collection unit, a degradation level estimation unit, a prediction unit, and a supply balance setting unit, which collectively estimate the degradation level of secondary cell modules, predict the suppliable quantity of power, and set a power supply balance among the modules, allowing for high-accuracy setting of power supply and improved reuse rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing systems are used to set power supply for reusable secondary cell modules, then the system complexity is reduced, but the measurement precision of suppliable quantity of power deteriorates
Solution Approach 1:
The system segments the power supply setting process into five distinct functional units: history information collection unit, cell performance collection unit, degradation level estimation unit, prediction unit, and supply balance setting unit. Each unit handles a specific aspect of the prediction process, allowing for specialized processing that improves measurement precision while maintaining manageable system complexity through modular design.
Solution Approach 2:
The system performs preliminary actions by collecting history information and cell performance data before making predictions. The degradation level estimation unit pre-calculates degradation levels based on collected data, and the prediction unit uses these pre-processed results to predict the suppliable quantity of power, improving prediction accuracy through advance preparation of relevant information.
2Productivity
If existing systems are used to set power supply, then the ease of operation is maintained, but the productivity of reuse process deteriorates
Solution Approach 1:
The system implements feedback mechanisms where the prediction unit continuously monitors and predicts the suppliable quantity of power based on collected performance data and degradation levels. This feedback loop enables dynamic adjustment of power supply settings, optimizing the reuse rate by accurately matching cell modules to appropriate applications based on their predicted performance.
Solution Approach 2:
The system changes key parameters including degradation level estimates, predicted suppliable quantity of power, and power supply balance settings. By dynamically adjusting these parameters based on collected data and predictions, the system optimizes the reuse process productivity while maintaining ease of operation through automated parameter management.
3Reliability
If existing systems are used to set power supply, then the device complexity is reduced, but the reliability of power supply prediction deteriorates
Solution Approach 1:
The prediction system is segmented into specialized units that each handle specific aspects of the prediction process. The degradation level estimation unit focuses on assessing cell degradation, while the prediction unit focuses on predicting suppliable quantity of power based on these assessments. This segmentation improves prediction reliability by ensuring each aspect is handled by dedicated functionality.
Solution Approach 2:
The system performs preliminary degradation level estimation before making power supply predictions. By pre-assessing the degradation levels of cell modules and preparing performance data in advance, the prediction unit can make more reliable predictions about the suppliable quantity of power, reducing the risk of inaccurate predictions.
Data Source
AI summary
In a system for setting power supply of reusable secondary cell modules, a degradation level estimation unit estimates a degradation level of a cell-module performance of each of a plurality of secondary cell modules, based on: the history information items about the respective the secondary cell modules acquired by a history information collection unit; and the cell-module performances of the respective secondary cell modules collected by a cell performance collection unit. A suppliable quantity prediction unit predicts a suppliable quantity of power of each of the plurality of secondary cell modules in accordance with the degradation level of the cell-module performance of a corresponding one of the plurality of secondary cell modules. A supply balance setting unit sets a power supply balance among the plurality of secondary cell modules based on the suppliable quantity of power of each of the plurality of secondary cell modules predicted by the prediction unit.