Prediction method for lithium-ion battery life using long-range dependence and chaos

WANG Haiyang; SONG Wanqing

doi:10.13873/J.1000-9787(2021)07-0032-03

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Prediction method for lithium-ion battery life using long-range dependence and chaos

更新时间：2025-09-11

- Prediction method for lithium-ion battery life using long-range dependence and chaos
- Issue 7, Pages: 32-34(2021)
- 作者机构：
  
  上海工程技术大学电子电气工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2021)07-0032-03
  CLC： TM912
- Published：2021
- 稿件说明：
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WANG Haiyang, SONG Wanqing. Prediction method for lithium-ion battery life using long-range dependence and chaos[J]. 2021, (7): 32-34.
DOI：

WANG Haiyang, SONG Wanqing. Prediction method for lithium-ion battery life using long-range dependence and chaos[J]. 2021, (7): 32-34. DOI： 10.13873/J.1000-9787(2021)07-0032-03.

摘要

提出了一种结合混沌理论的分数自回归滑动平均(FARIMA)模型的锂电池剩余寿命预测方法。首先在利用模型预测之前

先通过计算锂电池的Lyapunov指数给出其剩余寿命的最大可预测时间尺度;并介绍FARIMA模型的基本原理并给出判断模型长相关性重要参数-Hurst指数(H)的计算。然后给出RUL预测的定义

具体过程与形式。最后本文选择锂电池电池容量退化数据模型作为预测对象

代入FARIMA模型给出RUL预测结果。

Abstract

A prediction method for remaining life of lithium battery based on fractional auto-regressive moving average（FARIMA） model combined with chaos theory is proposed.Firstly

before using model to predict

the maximum predictable time scale of the remaining life of lithium battery is given by calculating the Lyapunov exponent.Secondly

basic principle of FARIMA model is introduced and calculate the Hurst exponent H

the parameter for judging long-range dependence（LRD） of FARIMA.Then the definition

process and form of RUL prediction are given.Finally

model for capacity degradation data of lithium battery is selected as the prediction target

and the RUL prediction results are given by the FARIMA model.

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