Electrochemical parameter prediction method and device, electronic equipment and readable storage medium

Abstract

The invention discloses an electrochemical parameter prediction method and device, electronic equipment and a readable storage medium, and the method comprises the steps: constructing an equivalent circuit of a to-be-detected component, and dividing the full-band impedance data of the to-be-detected component into low-band impedance data, middle-band impedance data and high-band impedance data; collecting medium-frequency-band impedance data and high-frequency-band impedance data of the component to be detected; determining a convergent machine learning model, inputting the medium-frequency-band impedance data and the high-frequency-band impedance data into the convergent machine learning model, and predicting to obtain initial electrochemical parameters; and determining target electrochemical parameters of each circuit element in the equivalent circuit according to the initial electrochemical parameters. According to the method, the prediction efficiency is improved while the prediction precision of the electrochemical parameters is improved.

Description

technical field [0001] The present application relates to the technical field of electrochemical parameter prediction, and in particular, to a method, device, electronic device, and readable storage medium for electrochemical parameter prediction. Background technique [0002] Electrochemical Impedance Spectroscopy (EIS) refers to applying an AC signal with different frequencies and small amplitudes to the electrochemical system, and measuring the ratio of AC signal voltage to current (this ratio is the impedance of the system) with the sine wave angle. The change of the frequency ω, or the change of the phase angle Φ of the impedance with ω, analyzes the reaction mechanism of the electrochemical system, and then calculates the relevant electrochemical parameters of the electrochemical system. Based on the electrochemical impedance method, it gradually becomes a battery and fuel cell. It is one of the most important measurement and analysis methods in the field of electroche...

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Problems solved by technology

However, due to the limitation of the spectrum characteristics of the pulse disturbance current in the form of M sequence, the useful signal energy is not concentrated, the frequency spectrum components are not fixed, and the required excitation signal amplitude is large. Moreover, due to the use of Fourier transform for time domain- Frequency domain conversion is limited by the resolution of Fourier transform, the number of sampling points and the sampling rate of the system, and there is a problem of spectrum leakage, resulting in limited measurement accuracy, and the measured frequency range is limited, which can only be realized from 0.5Hz to 500Hz

[0005] Therefore, in the field of electrochemical parameter prediction, the test results of the traditional electrochemical impedance method are accurate but take a long time, while the fast electrochemical impedance method based on current pulse injection has a short test time but low test accuracy, which makes the electrochemical impedance method test. Impedance spectrum data cannot balance test accuracy and test efficiency at the same time, which leads to the problem that the accuracy and efficiency of prediction of electrochemical parameters of each circuit element of the component to be tested based on the impedance spectrum data cannot be balanced at the same time.

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