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基于锂电池SOC估算方法

刘莉 胡社教

电源技术2017,Vol.41Issue(1):4-6,63,4.
电源技术2017,Vol.41Issue(1):4-6,63,4.

基于锂电池SOC估算方法

SOC estimation algorithm base on lithium-ion battery

刘莉 1胡社教1

作者信息

  • 1. 合肥工业大学计算机与信息学院,安徽合肥230009
  • 折叠

摘要

Abstract

State of charge(SOC) was one of the important parameters of battery management system of lithium-ion battery,the SOC estimation was affected by many factors of comprehensive,so it was difficult to ensure the estimation accuracy.Accurate battery model was the basis of accurate estimation of SOC,through improvements on the battery model,real-time update of the model parameters,to improve the precision of the model parameters.Correction of the extended kalman filter and combined with modified Ah counting method,reduced the influence of factors such as temperature,charge and discharge rate,so as to improve the accuracy of the SOC estimation.

关键词

锂离子电池组/电池模型/扩展卡尔曼滤波

Key words

lithium-ion battery/battery model/extend Kalman filtering

分类

信息技术与安全科学

引用本文复制引用

刘莉,胡社教..基于锂电池SOC估算方法[J].电源技术,2017,41(1):4-6,63,4.

电源技术

OA北大核心CSCDCSTPCD

1002-087X

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