Multi-Index Battery Residual Value Ranking for Secondhand Cells
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Solution Overview
Problem
Existing methods for evaluating the residual value of secondary batteries are inadequate as they rely solely on the State of Health (SOH) index, which does not account for other factors that may cause degradation, such as abnormal degradation levels, leading to inaccurate assessments and safety risks when reusing or repurposing secondhand batteries.
Innovation Solution
A battery residual value management system that utilizes a multi-dimensional vector space defined by at least three indexes (SOH, internal resistance, and abnormal degradation level) to accurately assess the residual value of secondary batteries, allowing for more precise classification and determination of residual value ranks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If residual value evaluation depends only on SOH index, then evaluation simplicity is improved, but evaluation accuracy deteriorates
Solution Approach 1:
The patent transitions from a one-dimensional SOH evaluation to a multi-dimensional vector space evaluation by introducing additional indexes (abnormal degradation level, internal resistance, temperature, charge-discharge cycles). This dimensional expansion allows comprehensive assessment of battery residual value while maintaining systematic evaluation simplicity through structured multi-index analysis.
2Measurement precision
If multi-dimensional vector space with at least three indexes is used, then evaluation accuracy is improved, but system complexity increases
Solution Approach 1:
The patent segments the battery evaluation system into distinct functional modules: data acquisition module (collecting SOH, abnormal degradation level, internal resistance, temperature, cycle data), processing module (calculating vector coordinates in multi-dimensional space), and evaluation module (determining residual value rank based on predefined thresholds). This segmentation manages system complexity by organizing multi-index evaluation into manageable, modular components.
Solution Approach 2:
The patent changes the evaluation parameters from traditional single-index SOH to a set of standardized parameters (SOH, abnormal degradation level, internal resistance, temperature, charge-discharge cycles) with defined measurement ranges and thresholds. This parameter standardization enables accurate multi-dimensional evaluation while controlling system complexity through consistent data structures and processing protocols.
3Reliability
If abnormal degradation level is included in evaluation indexes, then safety assessment is improved, but measurement difficulty increases
Solution Approach 1:
The patent introduces an abnormal degradation level index that acts as an intermediary indicator for safety assessment. This index mediates between direct safety risks (sudden abnormalities) and measurable parameters by quantifying degradation patterns through statistical analysis of historical data, making safety assessment measurable without requiring direct detection of potential failures.
Data Source
AI summary
The disclosure discloses a technique for more accurately evaluating a residual value of a secondary battery. For this reason, the disclosure proposes a battery residual value management system that manages a residual value of a battery, the battery residual value management system including: at least one storage device configured to store information about a multi-dimensional vector space formed by at least three indexes for evaluating the residual value of the battery, the multi-dimensional vector space including a plurality of regions for determining a residual value rank of the battery, each of the regions being defined by one or more threshold values set for each index in the multi-dimensional vector space; and at least one processor configured to acquire the information about the multi-dimensional vector space from the storage device and determine, based on the at least three indexes of the battery that is a residual value assessment target, to which of the plurality of regions in the multi-dimensional vector space the battery being the residual value assessment target belongs, thereby determining the residual value rank of the battery that is the residual value assessment target (see FIG. 2A).