With the wide application of lithium-ion batteries, life prediction and health management have become a hot issue nowadays. Life prediction of lithium batteries is of great significance to the stable operation of battery management system. Least squares support vector machine (LSSVM) model id used to predict the residual life of lithium ion batteries, and bird swarm optimization algorithm (BSA) is used头optimize the parameters of LSSVM. In order to improve the global search ability of BSA, the BSA is improved and an improved bird swarm algorithm (IBSA) is proposed. Finally, the least squares support vector machine (LSSVM) is optimized by using IBSA, and the IBSA-LSSVM prediction model is established to predict the life of lithium-ion batteries. The test results show that IBSA-LSSVM model has good prediction effect and stability.

(from magazine Electrotechnical Application5/2020 on theoretical analysis.)

About Avic-tech

Avic-Tech (Xiamen）Electric Power Technology Co.,Ltd is a high-tech enterprise specializing in R&D, manufacture, sales and service of high-end power supply. Our flagship products are industrial UPS (1kVA-800kVA), dynamic voltage restorer (10kVA-2000kVA), and lithium battery system, which are widely used in nuclear power, electric power, petroleum and petrochemical, rail transportation, industrial manufacturing and other fields.

Name: Mia ling

Email: lwy@avic-tech.com.cn  

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