Battery Deterioration Prediction via Electrode Polarization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing battery deterioration prediction systems, such as the one described in JP 2013-181875A, fail to accurately predict secondary battery deterioration due to neglecting electrode polarization, which affects the accuracy of capacity prediction.
Innovation Solution
A battery deterioration prediction system that includes an electrode resistance acquisition unit, an electrical current value acquisition unit, an OCP acquisition unit, a polarization calculation unit, a CCP calculation unit, and a capacity prediction unit, which together acquire and process data to predict the negative electrode capacity, positive electrode capacity, and SOC capacity deviation of a secondary battery, considering polarization effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If electrode polarization is neglected in the prediction model, then the system complexity is reduced, but the prediction accuracy of battery capacity deteriorates
Solution Approach 1:
The patent changes the parameters used in the prediction model by explicitly incorporating electrode polarization parameters (positive electrode polarization and negative electrode polarization) alongside open-circuit potential parameters. This allows the model to account for polarization effects without requiring complex additional measurements, as the polarization can be calculated from existing voltage and current data using the relationship: polarization = electrode resistance × current.
2Measurement precision
If electrode polarization is considered in the prediction model, then the battery capacity prediction accuracy is improved, but the device complexity increases
Solution Approach 1:
The patent makes the prediction model multi-functional by enabling it to handle both polarized and non-polarized conditions through a unified framework. The model can operate with or without polarization considerations depending on the available data and operational conditions, making it adaptable to different battery states and measurement scenarios without requiring entirely different prediction systems.
Solution Approach 2:
The patent segments the battery voltage into distinct components: open-circuit potential and electrode polarization. By separating these elements, the model can independently analyze and predict each component's contribution to the overall battery behavior, leading to more accurate capacity predictions while maintaining computational efficiency through modular calculation structures.
3Ease of operation
If only open circuit potential is used for prediction, then the measurement process is simplified, but the prediction accuracy under load conditions deteriorates
Solution Approach 1:
The patent introduces electrode polarization as an intermediary parameter that bridges the gap between open-circuit potential measurements and actual battery behavior under load. This intermediary allows the model to translate simple open-circuit measurements into accurate predictions of loaded battery performance by accounting for the voltage drop and polarization effects that occur during operation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system enhances the accuracy of predicting secondary battery deterioration by considering electrode polarization, leading to more precise battery capacity predictions and improved management of battery health.
Implementation Method 1
a polarization calculation unit that calculates a negative electrode polarization and a positive electrode polarization from the negative electrode resistance and the positive electrode resistance acquired by the electrode resistance acquisition unit and the electrical current value flowing through the secondary battery acquired by the electrical current value acquisition unit
Data Source
AI summary
In the battery deterioration prediction system, a polarization calculation unit calculates negative and positive electrode polarizations from negative and positive electrode resistances, and an electrical current value flowing through the secondary battery. A CCP calculation unit calculates a negative electrode closed-circuit potential on the secondary battery negative electrode open circuit potential and the negative electrode polarization calculated by the polarization calculation unit, and calculates a positive electrode closed-circuit potential based on the secondary battery positive electrode open circuit potential and the positive electrode polarization calculated by the polarization calculation unit. A capacity prediction unit predicts the positive/negative electrode capacity, and positive/negative electrode SOC deviation capacity of a secondary battery based on at least one of the closed-circuit potential of the negative and positive electrodes calculated by the CCP calculation unit, and predicts the battery capacity based on the negative and positive electrode capacities, and the positive/negative electrode SOC capacity deviation.