Granted Patent B2

US 12,626,786 · App. 18/206,683 · Granted May 12, 2026

Inventors: Danfei Gu (Shanghai, CN); Mingchen Jiang (Shanghai, CN); Siyuan Chen (Shanghai, CN); Weikun Wu (Shanghai, CN); Pei Song (Shanghai, CN); Enhai Zhao (Shanghai, CN); Xiao Yan (Shanghai, CN); Xiaohua Chen (Shanghai, CN); Peng Ding (Shanghai, CN); Pingchao Hao (Shanghai, CN)

Assignee: Makesense Energy Technology Co., Limited.

G16C20/10G01D21/02G01R31/367G16C10/00G16C20/30

Abstract

Claims (32)

1 . A method for predicting working conditions of lithium batteries, comprising:

performing a Fourier transform on a physicochemical state quantity distribution function of a solid-phase lithium battery to calculate a physicochemical state quantity distribution series function in a frequency domain and obtain a solid-phase physicochemical state quantity in the frequency domain according to the physicochemical state quantity distribution series function, wherein the physicochemical state quantity distribution function is an equation expression of physical and chemical quantities of the solid-phase lithium battery that change continuously in space in a time domain, and wherein the physical and chemical quantities comprise at least one state quantity of physical parameters and chemical parameters of the solid-phase lithium battery;

performing a Laplace transform on a partial differential governing equation set of the solid-phase physicochemical state quantity to obtain a solid-phase ordinary differential equation set in a complex frequency domain and obtain an analytical solution in the time domain through an inverse Laplace transform; and

calculating, according to the analytical solution, a predicted value of the working conditions of the solid-phase lithium battery at any location and at any time in the future.

2 . The method of claim 1 , wherein said performing the Fourier transform on the physicochemical state quantity distribution function of the solid-phase lithium battery comprises:

performing a cosine Fourier transform on the physicochemical state quantity distribution function of the solid-phase lithium battery before relaxation; and

calculating the physicochemical state quantity distribution series function in the frequency domain.

3 . The method of claim 1 , wherein the partial differential governing equation set of the solid-phase physical chemical quantity comprises a governing equation, a boundary condition and an initial condition, wherein the governing equation is a mathematical expression that characterizes an electrochemical model of the solid-phase lithium battery for a spatial distribution of the physical and chemical quantities as a function of time, the boundary condition is an exchange condition of a solid phase and the outside, and the initial condition is an initial value of the physicochemical state quantity distribution function; and

wherein said performing the Laplace transform on the partial differential governing equation set of the solid-phase physicochemical state quantity comprises:

performing a frequency domain conversion on the governing equation and the boundary condition based on the Laplace transform to obtain a complex frequency domain governing equation and a complex frequency domain boundary condition, so as to obtain a solid-phase ordinary differential equation set in the complex frequency domain, wherein the complex frequency domain solid-phase ordinary differential equation set comprises the complex frequency domain governing equation, the complex frequency domain boundary condition and the physicochemical state quantity distribution series function in the frequency domain; and

solving the complex frequency domain solid-phase ordinary differential equation set, and calculating the solved result using the inverse Laplace transform to obtain the analytical solution of infinite series in the time domain.

4 . The method of claim 1 , wherein said calculating the predicted value of the working conditions of the solid-phase lithium battery comprises:

substituting spatial coordinates and future time of a state quantity to be solved into the corresponding analytical solution to calculate the predicted values of the working conditions of the solid-phase lithium battery at the future time and the location corresponding to the spatial coordinates.

5 . The method of claim 1 , wherein said calculating the predicted value of the working conditions of the solid-phase lithium battery comprises:

comparing the predicted value of the working conditions with a corresponding threshold value; and

generating prompt information for notification and early warning, when the predicted value of the working conditions exceeds the corresponding threshold value.

6 . A system for predicting working conditions of lithium batteries, comprising:

a first calculation module, configured to perform a Fourier transform on a physicochemical state quantity distribution function of a solid-phase lithium battery to calculate a physicochemical state quantity distribution series function in a frequency domain and obtain a solid-phase physicochemical state quantity in the frequency domain according to the physicochemical state quantity distribution series function, wherein the physicochemical state quantity distribution function is an equation expression of physical and chemical quantities of the solid-phase lithium battery that change continuously in space in a time domain, and wherein the physical and chemical quantities comprise at least one state quantity of physical parameters and chemical parameters of the solid-phase lithium battery;

a second calculation module, configured to perform a Laplace transform on a partial differential governing equation set of the solid-phase physicochemical state quantity to obtain a solid-phase ordinary differential equation set in a complex frequency domain and obtain an analytical solution in the time domain through an inverse Laplace transform; and

a prediction module, configured to calculate a predicted value of the working conditions of the solid-phase lithium battery at any location and at any time in the future according to the analytical solution.

7 . The system of claim 6 , wherein the first calculating module comprises a first conversion unit, configured to:

perform a cosine Fourier transform on the physicochemical state quantity distribution function of the solid-phase lithium battery before relaxation; and

calculate the physicochemical state quantity distribution series function in the frequency domain.

8 . The system of claim 6 , wherein the partial differential governing equation set of the solid-phase physical chemical quantity comprises a governing equation, a boundary condition and an initial condition, wherein the governing equation is a mathematical expression that characterizes an electrochemical model of the solid-phase lithium battery for a spatial distribution of the physical and chemical quantities as a function of time, the boundary condition is an exchange condition of a solid phase and the outside, and the initial condition is an initial value of the physicochemical state quantity distribution function; and

wherein the second calculation module comprises

a second conversion unit, configured to perform a frequency domain conversion on the governing equation and the boundary condition based on the Laplace transform to obtain a complex frequency domain governing equation and a complex frequency domain boundary condition, so as to obtain a solid-phase ordinary differential equation set in the complex frequency domain, wherein the complex frequency domain solid-phase ordinary differential equation set comprises the complex frequency domain governing equation, the complex frequency domain boundary condition and the physicochemical state quantity distribution series function in the frequency domain; and

an inverse Laplace calculation unit, configured to solve the complex frequency domain solid-phase ordinary differential equation set, and calculate the solved result using the inverse Laplace transform to obtain the analytical solution of infinite series in the time domain.

9 . The system of claim 6 , wherein the prediction module comprises:

a prediction unit, configured to substitute spatial coordinates and future time of a state quantity to be solved into the corresponding analytical solution to calculate the predicted values of the working conditions of the solid-phase lithium battery at the future time and the location corresponding to the spatial coordinates.

10 . The system of claim 6 , further comprising:

a comparison module, configured to compare the predicted value of the working conditions with a corresponding threshold value; and

an alarm module, configured to generate prompt information for notification and early warning, when the predicted value of the working conditions exceeds the corresponding threshold value.

Assignments (2)

Priority Claims (1)

Continuity (1)

References Cited (50)