Secondary Battery Degradation Estimation by Usage-Based Factor Separation
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Solution Overview
Problem
Existing methods for estimating the degradation state of secondary batteries, such as using State of Health (SOH) based on capacity measurement, may not accurately reflect the actual degradation state inside the battery and require a large number of parameters from experiments, making them difficult to operate in practice.
Innovation Solution
A degradation state estimation system that includes a data acquisition unit, a degradation characteristic search unit, and a degradation state analysis unit. This system acquires usage data and battery information, searches a degradation characteristic database to specify storage, charging, and discharging degradation characteristics, and estimates the corresponding degradation amounts based on these characteristics and usage data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If SOH is calculated by capacity measurement, then the calculation method is simple, but the estimation accuracy of actual degradation state is poor
Solution Approach 1:
The patent segments the degradation state estimation into three distinct components: storage degradation amount (based on storage time and temperature), charging degradation amount (based on charging cycles and depth), and discharging degradation amount (based on discharging cycles and depth). Each component is calculated separately using specific formulas and then integrated to obtain the total SOH, thereby improving estimation accuracy while maintaining calculation simplicity.
2Measurement precision
If chemical reaction model is used to divide battery condition into storage and charge-discharge degradation, then degradation analysis is more comprehensive, but the number of parameters required increases significantly
Solution Approach 1:
The patent extracts and separates the degradation factors into distinct categories (storage, charging, discharging) with dedicated calculation formulas for each. By taking out each degradation component independently and calculating them separately, the system achieves comprehensive degradation analysis without requiring a large number of experimental parameters, as each component uses a focused set of relevant parameters.
3Measurement precision
If chemical reaction model with multiple parameters is used, then degradation state analysis is more accurate, but ease of operation decreases due to difficulty in obtaining parameters
Solution Approach 1:
The patent enables the system to self-calculate degradation parameters using readily available operational data. The storage degradation amount is calculated from storage time and temperature, charging degradation from charging cycles and depth, and discharging degradation from discharging cycles and depth. This self-service approach eliminates the need for complex experimental parameter acquisition while maintaining high accuracy.
Data Source
AI summary
A data acquisition unit acquires usage data of a secondary battery and battery information for specifying the type of the secondary battery. A degradation characteristic search unit searches a degradation characteristic database on the basis of the battery information and specifies a degradation characteristic information that includes a storage degradation characteristic, a charging degradation characteristic, and a discharging degradation characteristic of the secondary battery. A degradation state analysis unit estimates a storage degradation amount, a charging degradation amount, and a discharging degradation amount of the secondary battery on the basis of the usage data of the secondary battery and the specified degradation characteristic information.