锂离子电池非线性退化效应建模及其循环寿命预测.doc

文档介绍：
锂离子电池非线性退化效应建模及其循环
寿命预测#
郭力萌,卢斯远,刘大同**
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(哈尔滨工业大学电气学院自动化测试与控制系,哈尔滨 150080)
摘要:基于数据驱动的锂离子电池剩余寿命预测方法研究已成为故障预测与健康管理领域的
研究热点,而原有针对锂离子电池非线性退化特征而提出的非线性改进自回归模型在实际应
用过程中存在难以适应电池寿命长度差异的问题。针对这一问题,本文对原有模型进行改进,
引入寿命退化比例参数,用以刻画锂离子电池容量的非线性退化特征,并提出一种基于寿命
退化比例参数的非线性改进自回归模型。实验结果表明本文提出的改进模型的非线性退化特
征预测能力较强,对不同电池具有一定的适用性,能够给出锂离子电池剩余寿命的准确估计
结果,适合实际应用。
关键词:测试计量技术及仪器;锂离子电池;剩余寿命预测;自回归模型;非线性退化;退
化比例参数
中图分类号:
Nonlinear Degradation Modeling and Cycle Life Prediction
for Lithium-ion Battery
Guo Limeng, Lu Siyuan, Liu Datong
(Department of Automatic Test and Control, Harbin Institute of Technology,Harbin 150080)
Abstract: In this paper, Nonlinear Scale Degradation Parameter based Autoregressive Model is
proposed for Remaining Useful Life (RUL) prediction of Lithium-ion Battery, which is the hotspot in
Prognostics and Health Management. This method improves the RUL prediction ability of pre-existing
Nonlinear Degradation Autoregressive Model for different Lithium-ion Battery. This model imports an
improved nonlinear degradation factor based on the current percentage of life-cycle length which
contains the battery capacity degradation characteristics information of different periods. The
experiment results show that the proposed model can achieve satisfied RUL prediction performance
and fit practical application.
Key words: Measuring and Testing T