Battery Management System Composite Cathode Model
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Solution Overview
Problem
Current battery management systems face challenges in accurately determining the fractions of components in a battery's electrode and predicting the state of charge due to the complexity and time-consuming nature of existing methods, which are inadequate for real-time management.
Innovation Solution
A processor-implemented method iteratively determines the fractions of components in a battery's electrode using a composite cathode model, calculates the composite state of charge, and predicts the battery state by applying machine learning techniques, including a cost function analysis to refine the component fractions and update them based on experimental data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If individual equations for each battery cell are solved separately to determine parameters, then measurement precision may be improved, but productivity deteriorates due to the tedious and time-consuming process
Solution Approach 1:
The patent combines multiple individual battery cell equations into a single system of equations that can be solved simultaneously. Instead of solving each cell's parameters separately through tedious iterative processes, the method formulates a unified mathematical model that determines parameters for all cells in parallel, dramatically improving processing speed while maintaining accuracy through consistent system-wide optimization.
Solution Approach 2:
The patent develops a universal parameter determination method that can simultaneously handle multiple battery cells with different characteristics. The unified approach uses a single algorithmic framework that adapts to various cell types and conditions, eliminating the need for separate solution procedures for each cell and enabling real-time management of entire battery packs.
2Measurement precision
If all possible combinations of component fractions are tested to determine electrode composition, then measurement precision may be improved, but device complexity increases due to the large number of components
Solution Approach 1:
The patent transforms the complex problem of determining multiple component fractions into a simplified parameter estimation problem. By formulating the electrode composition determination as a system of equations with defined parameters, the method enables direct calculation of fractions without exhaustively testing all possible combinations, thereby reducing computational complexity while achieving accurate results.
3Ease of operation
If equivalent circuit models are used for battery management, then ease of operation is improved, but measurement precision deteriorates due to variations in model accuracy under different conditions
Solution Approach 1:
The patent creates a composite approach by combining the simplicity of equivalent circuit models with the accuracy of physics-based electrochemical models. The hybrid model integrates electrical circuit representations with fundamental battery chemistry equations, maintaining ease of operation while significantly improving state of charge accuracy across varying operating conditions through multi-model synthesis.
Data Source
AI summary
A processor-implemented battery management method includes iteratively determining fractions of components in an electrode of a battery; calculating a composite state of charge (SoC) of the battery by applying the iteratively determined fractions of the components to a composite cathode model used to predict a state of the battery; and predicting the state of the battery based on the calculated composite SoC.