Battery Active Material Content Determination via ICA Curve Mapping
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Solution Overview
Problem
Current battery management systems face challenges in accurately determining the active material content in battery electrodes, particularly in tracking performance degradation due to capacity fade as batteries age, which affects state of health estimation.
Innovation Solution
A processor-implemented method that involves determining peaks in inverse-differential capacity analysis and incremental capacity analysis curves, mapping these peaks, and calculating active material content based on state of charge values, allowing for the estimation of available capacity and material loading in battery electrodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional battery management systems are used, then basic battery operation is maintained, but accurate determination of active material content and tracking of performance degradation is not achieved
Solution Approach 1:
The patent segments the battery management task into distinct analytical components: incremental capacity analysis (ICA) for identifying electrode material characteristics, inverse-differential capacity analysis for determining active material content, and state of health monitoring for tracking degradation. This segmentation allows each component to be optimized independently while working together to achieve accurate measurements without requiring complete system redesign
Solution Approach 2:
The patent introduces capacity analysis curves (ICA and inverse-differential capacity analysis) as intermediary tools that mediate between raw battery electrical measurements and the target parameter (active material content). These curves serve as intermediate representations that transform complex battery behavior into interpretable peaks and features, enabling accurate determination without direct measurement of active material
2Reliability
If battery aging is monitored using conventional methods, then basic state estimation is provided, but accurate tracking of capacity fade and state of health degradation is not achieved
Solution Approach 1:
The patent performs preliminary characterization of the battery's capacity curves during normal operation to establish baseline ICA and inverse-differential capacity analysis profiles. This preliminary action enables the system to detect degradation trends and estimate state of health without requiring time-consuming separate testing procedures, as the necessary data is continuously available from regular battery cycling
Solution Approach 2:
The patent implements a feedback mechanism where capacity analysis results are continuously fed back to update the state of health estimation and adjust battery management parameters. By monitoring changes in peak positions and characteristics in the capacity curves over time, the system provides continuous feedback on degradation, enabling real-time reliability assessment without additional time loss
Data Source
AI summary
A battery management system (BMS) and method for determining an active material content in an electrode includes determining a first peak in an inverse-differential capacity analysis curve of a the battery, determining a second peak in an incremental capacity analysis (ICA) curve associated with the at least one electrode, mapping the first peak of the inverse-differential capacity analysis curve to the second peak of the ICA curve, determining an active material content in the at least one electrode of the battery based on the mapping, and optimizing a performance of the battery based on the active material content in the at least one electrode.