Electrical Impedance Measurement Normalization for Battery State Estimation
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Solution Overview
Problem
Conventional methods for determining battery properties using electrical impedance measurements are specific to particular battery types and require adaptation for different configurations, limiting their applicability to various electrochemical batteries.
Innovation Solution
A computer-implemented method that transforms electrical impedance measurements by identifying subseries associated with diffusion and charge transfer processes, normalizing them through translation and scaling, allowing for automated evaluation of battery states across different battery configurations without retraining neural networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional electrical impedance measurement methods are used, then battery property determination is achieved, but the method requires specific adaptation for each battery type and configuration
Solution Approach 1:
The patent transforms electrical impedance measurements by applying mathematical operations (translation and scaling) to normalize the data. This changes the parameters of the impedance measurements to a standardized form that removes configuration-specific variations, allowing the same evaluation method to be applied across different battery types without retraining neural networks
Solution Approach 2:
The transformation method creates a universal approach that works across multiple battery configurations. By suppressing configuration-specific differences through mathematical transformation, a single neural network model can evaluate various battery types (lithium-ion, lithium polymer, nickel-metal hydride, etc.) without requiring separate models or continuous adaptation
2Measurement precision
If neural networks are trained for specific battery configurations, then accurate evaluation is achieved, but continuous adaptation is required when battery configurations change
Solution Approach 1:
The patent performs preliminary transformation of the electrical impedance measurements to a standardized format that suppresses configuration-specific differences. This preliminary action ensures that the neural network receives normalized input data, eliminating the need for continuous adaptation when battery configurations change
Data Source
AI summary
A computer-implemented method and an electrical impedance analyzing system for analyzing electrical impedance measurements of an electrochemical battery, including: a translating of respective electrical impedance measurements that corresponds to subtracting an ohmic alternating current resistance value from the real part of electrical impedance; and a scaling using scaling factors, the absolute values of which are based on an electrical impedance that corresponds to a transition between a translated first subseries and a translated second subseries of the series of electrical impedance measurements, the first subseries being associated with a battery behavior of the electrochemical battery in which the electrical impedance is dominated by diffusion processes, the second subseries being associated with a battery behavior of the electrochemical battery in which the electrical impedance is dominated by charge transfer processes at the electrodes of the battery.