Battery State of Health Estimation via Dual-Embedded Decoupling
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Solution Overview
Problem
Existing battery State of Health estimation methods face challenges in accurately estimating battery health across a wide temperature range due to the complex interaction between temperature and aging, leading to reduced accuracy and efficiency, especially in data-driven methods like Incremental Capacity Analysis.
Innovation Solution
A battery State of Health estimation method based on a standard sample and dual-embedded decoupling, which involves extracting significant characteristic peaks, calibrating mechanism parameters, and using relation functions to decouple the effects of temperature and aging on Incremental Capacity curves, allowing for accurate estimation across a wide temperature range.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If data-driven methods like Incremental Capacity_analysis are used to estimate battery State of Health, then the estimation can be performed without establishing complex battery models, but the accuracy of estimation deteriorates when temperature varies because temperature directly affects battery chemical reactions and shifts the Incremental Capacity curve
Solution Approach 1:
The patent applies parameter changes by introducing temperature as a correction parameter to adjust the Incremental Capacity curve. By establishing the relationship between temperature and curve shifting, the method dynamically adjusts estimation parameters based on actual temperature conditions, thereby maintaining high estimation accuracy across varying temperatures without requiring complex models.
Solution Approach 2:
The patent uses temperature-compensated reference curves as an intermediary between the raw Incremental Capacity data and the State of Health estimation. These reference curves, adjusted for temperature effects, serve as a mediator that eliminates the direct negative impact of temperature variations on estimation accuracy while preserving the simplicity of data-driven approaches.
2Device complexity
If general data-driven methods are used for State of Health estimation, then model establishment is avoided, but overfitting occurs and extensive data pre-processing time is required
Solution Approach 1:
The patent extracts the essential temperature-dependent characteristics from extensive battery data to create compact temperature-compensated reference curves. By extracting only the critical temperature-curve relationship, the method avoids overfitting while minimizing data pre-processing requirements, as the reference curves can be pre-established and directly applied during estimation.
3Ease of operation
If Incremental Capacity_analysis is performed at standard temperature only, then the method is simple to implement, but the estimation accuracy deteriorates in wide temperature ranges because the Incremental Capacity curve shifts at different temperatures
Solution Approach 1:
The patent creates temperature-compensated reference curves that serve multiple temperature conditions simultaneously. By establishing a universal framework where reference curves can be adjusted for different temperatures through a systematic correction approach, the method maintains simplicity while achieving wide temperature range adaptability.
Data Source
AI summary
A battery State of Health estimation method based on a standard sample and a dual-embedded decoupling includes the steps of extracting significant characteristic peaks of the standard sample, mechanism parameter calibration of the standard sample, and on-line State of Health estimation of the test battery. The battery State of Health estimation method expounds the dual coupling relationship between temperature and aging on the characteristic peak voltage of Incremental Capacity curve from the perspective of impedance characteristic mechanism analysis, and proposes a method eliminating the voltage deviation caused by the most temperature-sensitive charge transfer resistance based on the “standard sample” to realize the decoupling of the first layer. Further, when the Solid Electrolyte Interface film resistance affected by the aging and temperature coupling conforms to a linear relationship as a whole, the embedded decoupling can be realized by establishing the relation function between the linear relationship coefficient and temperature.