Remaining capability evaluation method for secondary battery, remaining capability evaluation program for secondary battery, computation device, and remaining capability evaluation system
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Solution Overview
Problem
Existing methods for estimating the remaining performance of secondary batteries after primary use are inaccurate due to variations in storage and cycle deterioration rates, which do not always follow the assumed square root of time and linear progressions.
Innovation Solution
A method that diagnoses the deterioration degree of a secondary battery based on actual measurements, updates the deterioration speed, and estimates the remaining performance for secondary use by considering the specific usage method and environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the deterioration of secondary battery is estimated based on the square root of time for storage deterioration and linear progression for cycle deterioration, then the estimation process is simple, but the estimation accuracy is insufficient because actual deterioration does not always follow these patterns
Solution Approach 1:
The patent changes the parameters of the deterioration estimation model by introducing multiple power law exponents (different from the fixed 0.5 for square root) that can be adjusted to match actual deterioration patterns. The system estimates different power law exponents for storage deterioration and cycle deterioration based on battery type and usage conditions, allowing the model to adapt to various deterioration rates while maintaining a systematic estimation framework.
Solution Approach 2:
The patent implements feedback by using actual battery performance data to refine and update the deterioration estimation model. The system continuously compares estimated deterioration with actual measurements and adjusts the power law exponents and other parameters accordingly, creating a self-correcting estimation system that improves accuracy over time while learning from real-world battery behavior.
2Adaptability or versatility
If a fixed deterioration model is used for all secondary batteries, then the estimation method is easy to implement, but it cannot account for variations in battery type, usage conditions, and deterioration patterns
Solution Approach 1:
The patent applies local quality by customizing the deterioration estimation parameters specifically for each battery type and usage condition rather than using a universal model. The system determines appropriate power law exponents and deterioration rates based on the specific characteristics of the battery (e.g., lithium-ion, nickel hydrogen) and its operating conditions (temperature, charge cycles, storage conditions), allowing each battery to be evaluated according to its unique deterioration pattern.
Solution Approach 2:
The patent introduces dynamics by making the deterioration model adaptive and changeable rather than static. The power law exponents and deterioration parameters are not fixed but can be updated based on actual battery performance data and changing usage conditions. This dynamic approach allows the system to respond to variations in battery behavior over time and under different operating conditions.
Data Source
AI summary
A deterioration diagnosis unit of an arithmetic unit constituting a remaining performance evaluation system diagnoses the deterioration degree of a secondary battery that has already been used for primary use based on an actual measurement value. The deterioration speed update unit updates the deterioration speed of the secondary battery based on the diagnosis result of the secondary battery. The remaining performance estimation unit estimates the remaining performance of the secondary battery after the start of secondary use based on the updated deterioration speed and a usage method at the time of the secondary use of the secondary battery.