Lithium battery pack parameter identification method based on multi-constraint condition particle swarm optimization algorithm

A technology of particle swarm optimization and parameter identification, which is applied in the field of parameter identification of the electrochemical model of lithium-ion battery packs, can solve problems such as inability to predict the state of the battery pack
CN112464571AActive Publication Date: 2021-03-09HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
Publication Date
2021-03-09

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Abstract

The invention discloses a lithium battery pack parameter identification method based on a multi-constraint condition particle swarm optimization algorithm, and relates to the field of lithium ion battery pack electrochemical model parameter identification. The invention aims to solve the problems that only the behavior of a battery monomer can be identified and the overall state of a battery packcannot be predicted in the prior art. The method comprises the steps of 1, establishing an electrochemical model of a lithium-ion single battery; 2, identifying the lithium ion battery monomer electrochemical model by adopting an excitation response method to obtain a model parameter value; 3, setting a parameter value range of the electrochemical model of the lithium ion battery pack according tothe model parameter value obtained in the step 2; and 4, obtaining a model parameter vector of the lithium ion battery pack from a set parameter value range of the electrochemical model of the lithium ion battery pack by adopting a multi-constraint condition particle swarm optimization algorithm. The method is used for detecting the state of the lithium-ion battery pack.
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Description

technical field

[0001] The invention relates to an online acquisition method for electrochemical model parameters of a battery pack. It belongs to the field of parameter identification of electrochemical model of lithium-ion battery pack. Background technique

[0002] With the destruction of the environment and the increasing consumption of resources, new energy has become the trend of future development, and battery energy storage plays a vital role in renewable energy. Compared with other batteries, lithium-ion batteries have the advantages of low energy density, no memory effect, long life, and low cost. They are widely used in energy storage, military, electronic industry and other types of batteries, and have great application prospects. and huge market demand. The study of high-performance lithium-ion batteries has great scientific significance and economic benefits. The reliability and safety of lithium-ion batteries are still the key factors restricting the develo...

Claims

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