Battery Life Degradation Analysis via dQ/dV Curve Extraction
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Solution Overview
Problem
Existing methods face challenges in accurately extracting curves for lithium battery life degradation analysis under complex conditions, requiring high data quality and struggling with precise curve extraction.
Innovation Solution
A method involving obtaining battery data, estimating open circuit voltage, establishing a function curve between state of charge and open circuit voltage using an adaptive iterative calculation model, and extracting a life degradation curve through polynomial fitting, allowing for accurate analysis of lithium battery life degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing methods are used to extract curves for battery life degradation analysis, then the analysis can be performed, but the curve extraction accuracy deteriorates under complex conditions due to high data quality requirements
Solution Approach 1:
The patent transforms the raw voltage-time curve into a dQ/dV curve through parameter transformation and differentiation. This changes the representation parameters from (voltage, time) to (dQ/dV, voltage), which enhances the ability to identify degradation features under complex operating conditions while maintaining extraction accuracy
Solution Approach 2:
The patent replaces manual or simple automated curve extraction methods with an algorithmic approach that uses polynomial fitting and differentiation. This substitution of the extraction mechanism enables accurate curve extraction under complex conditions by mathematically transforming the voltage-time data into the dQ/dV domain
2Measurement precision
If complex processing methods are used to improve curve extraction accuracy, then measurement precision improves, but computational complexity and memory usage increase
Solution Approach 1:
The patent segments the voltage-time data into discrete measurement points and processes each point through the dQ/dV transformation independently using polynomial fitting. This segmentation allows the complex transformation to be broken down into manageable computational steps that can be executed efficiently with reduced memory requirements
3Productivity
If traditional curve extraction methods are used, then the process can be completed, but the processing time increases due to iterative smoothing requirements
Solution Approach 1:
The patent performs polynomial fitting on the voltage-time data in advance to establish a continuous mathematical representation before differentiation. This preliminary action eliminates the need for iterative smoothing during the extraction phase, thereby improving processing speed while maintaining or enhancing extraction accuracy through the direct computation of dQ/dV
Data Source
AI summary
A method for analyzing battery life degradation, a storage medium, and an electronic device are provided. The method includes: obtaining battery data of a device, where the battery data includes a voltage and a current of a battery of the device; estimating an open circuit voltage of the battery based on the battery data; establishing a function curve between a state of charge and the open circuit voltage of the battery; extracting a life degradation curve based on the function curve; and performing life degradation analysis on the battery based on the life degradation curve. In the present disclosure, a dQ/dV curve of the battery can be accurately extracted under complex working conditions, thereby ensuring accuracy of the battery life degradation analysis, and achieving desirable practical applicability under complex working conditions.