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Relaxation time distribution-based lithium ion battery modeling method

A lithium-ion battery and relaxation time technology, which is applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc. Model accuracy, the effect of model accuracy

Active Publication Date: 2021-02-05
TONGJI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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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  • Relaxation time distribution-based lithium ion battery modeling method
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  • Relaxation time distribution-based lithium ion battery modeling method

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Experimental program
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Embodiment

[0052] Such as figure 1 Shown, a kind of lithium-ion battery modeling method based on relaxation time distribution, this method comprises the following steps:

[0053] S1. Under specific SOC and temperature T, carry out AC impedance spectroscopy test on the lithium-ion battery sample;

[0054] S2, calculate the AC impedance;

[0055] S3, using the Debye relaxation time formula to establish a relaxation time distribution function of the AC impedance;

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

[0057] S5. Determine the lithium-ion battery model.

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

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

[0060] Z(ω)=X(ω) / J(ω)

[0061] Z(ω)=Z′(ω)+jZ″(ω)

[0062] Among them, J(ω)...

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Abstract

The invention relates to a relaxation time distribution-based lithium ion battery modeling method. The method comprises the following steps of: S1, carrying out an alternating current impedance spectrum test on a lithium ion battery sample under a specific SOC and temperature T; S2, calculating alternating current impedance; S3, establishing a relaxation time distribution function of the alternating-current impedance by utilizing a Debye relaxation time formula; S4, determining the order of a battery RC model he and each parameter of the model according to the relaxation time distribution function of the alternating-current impedance; and S5, determining a lithium ion battery model. Compared with the prior art, the method eliminate the influence of subjective factors on model establishmentand enables high precision for the established model.

Description

technical field [0001] The invention relates to the field of energy storage batteries, in particular to a modeling method for lithium ion batteries based on relaxation time distribution. Background technique [0002] In recent years, global energy and environmental issues 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 battery state of charge, remaining life, and health status 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 prerequisite for the effective operation of the battery management system. [0003] Because the RC model is relatively simple when the order is low, its accuracy is als...

Claims

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Application Information

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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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