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锂离子电池建模及其参数辨识方法研究

陈息坤 孙冬

中国电机工程学报2016,Vol.36Issue(22):6254-6261,8.
中国电机工程学报2016,Vol.36Issue(22):6254-6261,8.DOI:10.13334/j.0258-8013.pcsee.152441

锂离子电池建模及其参数辨识方法研究

Research on Lithium-ion Battery Modeling and Model Parameter Identification Methods

陈息坤 1孙冬1

作者信息

  • 1. 上海大学机电工程与自动化学院,上海市闸北区 200072
  • 折叠

摘要

Abstract

In lithium-ion battery power management systems, dynamic modeling accurately is the key techniques that maintain the battery energy storage system operating safely and reliably. For the issue about test data with uncertain noise signals, data saturation and biased identification parameters, the bias compensation recursive least-squares (BCRLS) method was used to identify model parameters online based on the second-order RC equivalent model. The proposed method were validated in four different tests and compared with the conventional RLS method. According to the three commonly used open circuit voltage (OCV) test methods, six typical OCV test profiles were designed and then the piecewise cubic Hermite interpolation was proposed for improvement of the identified OCV curves. The experimental results show that BCRLS algorithm has better convergence than RLS and the obtained model has higher precision and better performance, hence the feasibility and effectiveness of the proposed method was verified. Through comparative analysis of the modeling performance of the identified OCV curves, the OCV test method, constant current charging and discharging with short-time rest test profile, is considered as the preferred choice due to its less duration time and equivalent modeling performance.

关键词

锂电池建模/模型参数辨识/开路电压/偏差补偿最小二乘法/分段三次Hermite插值

Key words

lithium-ion battery modeling/model parameter identification/open circuit voltage/bias compensation least-squares/piecewise cubic Hermite interpolation

分类

信息技术与安全科学

引用本文复制引用

陈息坤,孙冬..锂离子电池建模及其参数辨识方法研究[J].中国电机工程学报,2016,36(22):6254-6261,8.

基金项目

上海市科委重点项目(14DZ1206302);上海市经信委重大技术装备项目(ZB-ZBYZ-02-14-0825)。Project supported by the major project of Shanghai Science and Technology Commission (14DZ1206302) (14DZ1206302)

The Shanghai economic and information commission major project (ZB-ZBYZ-02-14-0825) (ZB-ZBYZ-02-14-0825)

中国电机工程学报

OA北大核心CSCDCSTPCD

0258-8013

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