Battery Degradation Estimation Across Multi-Stage Aging Transitions
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Energy storage devices exhibit varying degradation patterns over time, leading to decreased estimation accuracy when not accounting for changes in degradation transitions, particularly between first and second degradation areas.
Innovation Solution
An estimation apparatus with a storage unit and arithmetic processing unit that determines the degradation area of an energy storage device and selects corresponding arithmetic data to estimate the degradation amount, incorporating temperature correction coefficients for each area to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single estimation method is used for the entire degradation period, then the device complexity is reduced, but the estimation precision deteriorates due to varying degradation patterns in different areas
Solution Approach 1:
The patent divides the degradation period into multiple degradation areas (first degradation area and second degradation area) based on different degradation patterns. Each area has its own estimation method with appropriate arithmetic data, allowing precise estimation tailored to the specific degradation stage while managing complexity through structured segmentation.
Solution Approach 2:
The patent implements a dynamic estimation approach where the system automatically determines which degradation area the energy storage device is in and selects the corresponding estimation method. This dynamic adaptation allows the system to maintain high precision across different degradation stages without requiring manual intervention or complex fixed structures.
2Measurement precision
If degradation area determination is performed, then the estimation precision is improved, but the processing time increases due to additional determination steps
Solution Approach 1:
The patent pre-establishes degradation area determination criteria and arithmetic data for each area before actual estimation is needed. By preparing estimation formulas, temperature correction coefficients, and area boundary conditions in advance, the system can quickly determine the current degradation area and apply the appropriate method without time-consuming calculations during the estimation process.
3Measurement precision
If temperature correction is applied for each degradation area, then the estimation precision is improved, but the calculation complexity increases
Solution Approach 1:
The patent applies temperature correction locally to each degradation area using area-specific arithmetic data and correction coefficients. Instead of using a uniform correction method across all degradation stages, the system tailors the temperature correction approach to match the characteristics of each degradation area, improving precision while keeping calculations manageable through localized processing.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Improves the estimation accuracy of energy storage device degradation by distinguishing between different degradation areas and applying appropriate correction data, reducing errors related to temporal and temperature factors.
Implementation Method 1
The root law is a law in which the actual capacity decreases in accordance with the root of the elapsed time
Implementation Method 2
The Arrhenius law is a law that the degree of decrease in actual capacity varies depending on the temperature
Data Source
AI summary
An estimation apparatus that estimates a degradation amount of an energy storage device includes: a storage unit; and an arithmetic processing unit. The energy storage device has a characteristic of including a first degradation area in which a temporal transition of a degradation amount shows a first transition and a second degradation area in which the temporal transition of the degradation amount shows a second transition. The storage unit holds first arithmetic data for calculating the degradation amount in the first degradation area, and second arithmetic data for calculating the degradation amount in the second degradation area. The arithmetic processing unit executes determination processing of determining a degradation area of the energy storage device, and estimation processing of selecting arithmetic data corresponding to the degradation area from the storage unit to estimate the degradation amount of the energy storage device.


