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基于凸优化-寿命参数退化机理模型的锂离子电池剩余使用寿命预测

姜媛媛 曾文文 沈静静 楚军

电力系统及其自动化学报2019,Vol.31Issue(3):23-28,6.
电力系统及其自动化学报2019,Vol.31Issue(3):23-28,6.DOI:10.19635/j.cnki.csu-epsa.000021

基于凸优化-寿命参数退化机理模型的锂离子电池剩余使用寿命预测

Prediction of Remaining Useful Life of Lithium-ion Battery Based on Convex Optimization-life Parameter Degradation Mechanism Model

姜媛媛 1曾文文 2沈静静 1楚军1

作者信息

  • 1. 安徽理工大学电气与信息工程学院,淮南 232001
  • 2. 南京航空航天大学自动化学院,南京 210016
  • 折叠

摘要

Abstract

To solve the problems in the life prediction of lithium-ion battery,such as poor model universality and low prediction accuracy,a prediction method for the remaining useful life(RUL)of lithium-ion battery is proposed based on the convex optimization-life parameter degradation mechanism model. First,the degradation mechanism model with the actual capacity of lithium-ion battery and its cycle is constructed. Then,the life test data of lithium-ion battery are processed by convex optimization for noise reduction;based on the data with higher reliability obtained based on prepro?cessing,the parameters of the mechanism model are identified using the least squares method,thus the exact expres?sion of the model is obtained,which realizes the prediction of lithium-ion battery’s RUL. Finally,based on the NASA lithium-ion battery data set,the lithium-ion battery’s RUL is predicted and evaluated. The prediction results show that the proposed model is of good generality,and the error range is about 4%.

关键词

剩余使用寿命/寿命参数退化机理模型/凸优化/参数辨识

Key words

remaining useful life(RUL)/life parameter degradation mechanism model/convex optimization/parameter identification

分类

信息技术与安全科学

引用本文复制引用

姜媛媛,曾文文,沈静静,楚军..基于凸优化-寿命参数退化机理模型的锂离子电池剩余使用寿命预测[J].电力系统及其自动化学报,2019,31(3):23-28,6.

基金项目

国家自然科学基金资助项目(51177060) (51177060)

电力系统及其自动化学报

OA北大核心CSCDCSTPCD

1003-8930

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