A method of predicting cycle life of lithium battery and uses thereof

A cycle life, lithium battery technology, applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., can solve the problem of long battery test cycle, achieve the effect of shortening the test cycle, good fitting effect, and high accuracy

Active Publication Date: 2021-02-12
KUNSHAN BAOTRON NEW ENERGY TECH CO LTD
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AI Technical Summary

Problems solved by technology

However, the battery life test cycle is long, how to quickly and accurately predict the life of the battery is an important topic in the basic research of lithium-ion batteries

Method used

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  • A method of predicting cycle life of lithium battery and uses thereof
  • A method of predicting cycle life of lithium battery and uses thereof
  • A method of predicting cycle life of lithium battery and uses thereof

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Experimental program
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Embodiment 1

[0052] Using the capacity fading model shown in formula I, some of the experimental data of the first 650 cycles of 1C / 1C, 25°C and 45°C cycles of a certain type of battery of the company were fitted, and the model parameter values ​​shown in Table 1 were obtained. , to determine the model parameter values ​​α, β, γ, λ of formula I. Use this model to predict the cycle life of this type of battery. For comparison of the prediction results, see Figure 2~3 and Table 2.

[0053] Table 1 Model parameter values

[0054] α β gamma lambda 3.0309×10 -4

1.3565×10 4

-2.2919×10 3

8.5604

[0055] Table 2 Comparison of prediction results

[0056]

[0057] Results and conclusions:

[0058] Consolidated Table 2 and Figure 2~3 It can be seen that the change of cycle temperature will have a significant impact on the capacity fading and cycle life of the battery, and as the capacity fading rate increases, the fitting curve of the prediction model is mo...

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Abstract

The invention discloses a method for predicting the cycle life of a lithium battery and application of the method. The method comprises the steps that a capacity attenuation model shown in the formulaI is established, Qloss represents the capacity loss rate, T represents the cycle temperature, N represents the number of cycles, and alpha, beta, gamma and lambda are all model parameters to be solved; determining experiment conditions according to the battery type and the battery use temperature range, and performing battery charge-discharge cycle test under different experiment conditions to determine values of model parameters alpha, beta, gamma and lambda, thereby obtaining a capacity attenuation model suitable for a specific battery type; and utilizing the obtained capacity attenuationmodel to predict the cycle life of the same type of to-be-tested battery at a specific use temperature. The prediction method is higher in accuracy, can more accurately predict the cycle life of the similar battery at a certain cycle temperature, provides technical support and theoretical basis for replacement when the battery reaches the end of the life, can reduce the test cost, shortens the test period and saves the experimental resources, and is suitable for popularization and application.

Description

technical field [0001] The invention belongs to the field of batteries, and in particular relates to a method for predicting the cycle life of a lithium battery and an application thereof. Background technique [0002] Lithium-ion batteries have the advantages of high operating voltage, high energy density, no memory effect and low self-discharge rate, and have been widely used in portable electronic products. In recent years, they have been widely used in the field of electric vehicles. Different from portable electronic products, electric vehicles not only require batteries to meet high energy density and power density, but also put forward higher requirements for battery life. Therefore, improving battery life is a must for the large-scale development of automotive lithium-ion batteries. solved problem. However, the battery life test cycle is long, how to quickly and accurately predict the life of the battery is an important topic in the basic research of lithium-ion bat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G01R31/392G06F111/10G06F119/04G06F119/08
CPCG06F30/20G01R31/392G06F2111/10G06F2119/04G06F2119/08
Inventor 吴风霞吕豪杰黄荣刚
Owner KUNSHAN BAOTRON NEW ENERGY TECH CO LTD
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