Lithium dendrite morphology growth prediction method and system based on nonlinear phase field model

A prediction method, lithium dendrite technology, applied in special data processing applications, design optimization/simulation, etc., can solve problems such as large amount of calculation, long time required, and unsuitable linear model, so as to improve calculation efficiency, The effect of reducing computational complexity

Active Publication Date: 2021-09-21
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

[0003] At present, there are few studies on the growth simulation of lithium dendrites, and the growth mechanism has not yet reached a unified conclusion. The existing commonly used model is the linear phase field model, that is, the change of the phase field is considered to be linearly proportional to the thermodynamic drive, and the solid region and The liquid area is calculated separately, and the solid-liquid inte...

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  • Lithium dendrite morphology growth prediction method and system based on nonlinear phase field model
  • Lithium dendrite morphology growth prediction method and system based on nonlinear phase field model
  • Lithium dendrite morphology growth prediction method and system based on nonlinear phase field model

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[0089] A method for predicting lithium dendrite growth morphology based on a nonlinear phase field model according to the present invention includes:

[0090] Such as figure 1 , the specific process of lithium dendrite growth morphology prediction:

[0091] First, according to the system free energy change law, reaction kinetics and other related knowledge, the phase field variable control equation, lithium ion concentration field control equation and electric potential field control equation in the process of lithium dendrite growth are derived;

[0092] Then collect physical parameters such as interfacial fluidity L and kinetic parameters such as charge transfer coefficient in the positive direction in the lithium dendrite growth system;

[0093] Then input various parameters, variable expressions, phase field variable control equations, lithium ion concentration field control equations, and electric potential field control equations into the finite element simulation softw...

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Abstract

The invention provides a lithium dendrite morphology growth prediction method and system based on a nonlinear phase field model. The lithium dendrite morphology growth prediction method comprises the steps: 1, deducing according to a free energy change rule and reaction kinetics to obtain a phase field variable control equation, a lithium ion concentration field control equation and a potential field control equation in a lithium dendrite growth process; 2, collecting parameters in the growth process of the lithium dendrites; 3, inputting the parameters and the equation into finite element simulation software, determining the size of an electrolyte region needing to be calculated, performing grid division, setting a boundary condition, an initial condition, a calculation step length and calculation time, and performing transient solution of a control equation set; 4, outputting the change conditions of the phase field variable values in the calculation process and the calculation region as images to obtain the growth morphology of the lithium dendrites on the surface of the negative electrode of the lithium battery in the charging process. According to the method, the problem that a solid-liquid interface needs to be tracked continuously in a traditional model is solved, the calculation complexity is reduced, and the calculation efficiency is improved.

Description

technical field [0001] The invention relates to the field of lithium battery model technology and electric vehicle battery management technology, in particular to a method and system for predicting growth of lithium dendrite morphology based on a nonlinear phase field model. Background technique [0002] In recent years, due to the characteristics of high energy density, long service life, high rated voltage, and low self-discharge rate, lithium batteries have gradually become a research hotspot. Today, with the rapid development of electric vehicles, battery safety is restricting the development of electric vehicles. One of the major reasons is that in many electric vehicle fire and combustion accidents, battery thermal runaway is the primary cause, and there are various causes of battery thermal runaway, among which internal short circuit accounts for the largest proportion. During the long-term operation of lithium batteries, lithium dendrites are easy to be generated on ...

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Application Information

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IPC IPC(8): G06F30/23
CPCG06F30/23
Inventor 张希陈顺郭邦军朱翀
Owner SHANGHAI JIAO TONG UNIV
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