A modeling method for lithium-ion batteries based on relaxation time distribution

A lithium-ion battery, relaxation time technology, applied in the direction of measuring electricity, measuring electrical variables, instruments, etc., can solve the problems of model parameter drift, personal subjective factors, and model accuracy reduction, so as to improve modeling accuracy and accuracy Acquisition, model accurate effect

Active Publication Date: 2021-09-03
TONGJI UNIV
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  • Description
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  • Application Information

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Problems solved by technology

But when most users build RC models, they usually do reverse modeling
The staff first determines the order of the model by weighing the accuracy and calculation amount of the model based on experience, and then obtains the parameters of the model through parameter identification, but this modeling method is greatly affected by personal subjective factors
At the same time, as the battery ages, the model parameters will drift, so the model accuracy will gradually decrease during long-term use

Method used

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  • A modeling method for lithium-ion batteries based on relaxation time distribution
  • A modeling method for lithium-ion batteries based on relaxation time distribution
  • A modeling method for lithium-ion batteries based on relaxation time distribution

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Embodiment

[0052] like figure 1 As shown, a method for modeling lithium-ion batteries based on relaxation time distribution, the method includes the following steps:

[0053] S1. Perform an AC impedance spectrum test on a lithium-ion battery sample at a specific SOC and temperature T;

[0054] S2. Calculate the AC impedance;

[0055] S3. Use the Debye relaxation time formula to establish the relaxation time distribution function of the AC impedance;

[0056] S4. Determine the order of the battery RC model and the parameters of the model according to the relaxation time distribution function of the AC impedance;

[0057] S5, determine the lithium-ion battery model.

[0058] When performing the AC impedance spectrum test in step S1, a voltage or current of a specific frequency is selected as the excitation source of the battery.

[0059] The calculation method of the AC impedance in step S2 is as follows:

[0060] Z(ω)=X(ω) / J(ω)

[0061] Z(ω)=Z′(ω)+jZ″(ω)

[0062] where J(ω) is the ...

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Abstract

The present invention relates to a lithium-ion battery modeling method based on relaxation time distribution, the method comprising the following steps: S1, performing an AC impedance spectrum test on a lithium-ion battery sample at a specific SOC and temperature T; S2, calculating the AC impedance; S3. Using the Debye relaxation time formula to establish a relaxation time distribution function of the AC impedance; S4. Determine the battery RC model order and model parameters according to the AC impedance relaxation time distribution function; S5. Determine the lithium-ion battery model. Compared with the prior art, the present invention eliminates the influence of subjective factors on model establishment, and the established model has high precision.

Description

technical field [0001] The invention relates to the field of energy storage batteries, in particular to a lithium-ion battery modeling method based on relaxation time distribution. Background technique [0002] In recent years, global energy and environmental problems have become increasingly prominent. In order to achieve sustainable development, countries around the world have vigorously developed new energy industries with pure electric vehicles as the core. Lithium-ion batteries are the main source of power for pure electric vehicles. Accurately estimating the battery's state of charge, remaining life, and state of health is the focus of the battery management system. Limited by the storage space of the battery management system memory and the computing speed of the processor, a suitable battery model is the premise of the effective operation of the battery management system. [0003] Since the RC model has a lower order, the model is simpler and its accuracy is lower. ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/367G01R31/385G01R31/389
CPCG01R31/367G01R31/385G01R31/389
Inventor 魏学哲乔冬冬戴海峰王学远
Owner TONGJI UNIV
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