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Lithium ion battery model parameter recognition method based on chaotic cat swarm algorithm

A lithium-ion battery and model parameter technology, applied in the field of lithium-ion battery model parameter identification, can solve problems such as slow convergence speed

Inactive Publication Date: 2020-06-09
NANCHANG UNIV
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Problems solved by technology

However, the existing methods for identifying battery model parameters have a slow convergence rate.

Method used

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  • Lithium ion battery model parameter recognition method based on chaotic cat swarm algorithm
  • Lithium ion battery model parameter recognition method based on chaotic cat swarm algorithm
  • Lithium ion battery model parameter recognition method based on chaotic cat swarm algorithm

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Embodiment Construction

[0039] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention.

[0040] Such as figure 1 As shown, one embodiment of the present invention discloses a method for identifying parameters of a lithium-ion battery model based on chaotic cats, including the following steps, wherein the model of the lithium battery that needs to be identified is: INR 18650-20R;

[0041] S1: Initialize the cat group, set the group size of the cat group optimization algorithm to N=20, and the maximum number of iterations is k max = 500, grouping rate MR = 0.3, randomly initialize the cat group position;

[0042] S2: Calculate the fitness value fitness of all cats in the population, select and record the cat with the best fitness in the population;

[0043] S3: Randomly group cat groups according to MR. MR indicates the proportion of the number of c...

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Abstract

The invention discloses a lithium ion battery model parameter recognition method based on a chaotic cat group. The invention discloses a lithium ion battery parameter recognition method, relates to the technical field of electric power, and aims at carrying out parameter recognition on a lithium ion battery model by introducing a chaotic cat swarm algorithm which can carry out local search and global search at the same time, and introducing the chaotic algorithm on the basis of a cat swarm, so that the algorithm ergodicity is improved, and the convergence degree of a globally optimal solutionis greatly improved.

Description

technical field [0001] The invention relates to the field of electric power technology, in particular to a method for identifying parameters of a lithium-ion battery model based on a chaotic cat swarm algorithm. Background technique [0002] Lithium-ion batteries have the characteristics of large capacity, moderate voltage, wide range of sources, long cycle life, good performance, and no pollution to the environment. They are more and more widely used in the rapidly developing new energy electric vehicles. The SOC of lithium-ion batteries represents the ratio of the remaining dischargeable power of the battery to the power of the fully charged state after the battery has been used for a period of time or left unused for a long time. Accurately estimating the SOC can provide users with the remaining mileage that electric vehicles can travel. Ensure that the lithium-ion battery works within a reasonable voltage range, which can effectively prevent damage to the battery due to ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/00G01R31/367G01R31/385B60L58/12
CPCG06N3/006G01R31/367G01R31/385B60L58/12Y02T10/70
Inventor 聂晓华刘意期万晓凤余运俊王淳
Owner NANCHANG UNIV
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