基于CPSO-RVM的锂电池剩余寿命预测方法

doi:10.16182/j.issn1004731x.joss.201805040

系统仿真学报 ›› 2018, Vol. 30 ›› Issue (5): 1935-1940.doi: 10.16182/j.issn1004731x.joss.201805040

基于CPSO-RVM的锂电池剩余寿命预测方法

张朝龙^1,2, 何怡刚², 袁莉芬²

1. 安庆师范大学物理与电气工程学院,安庆246011;
2. 合肥工业大学电气与自动化工程学院,合肥230009

收稿日期:2017-04-01 修回日期:2017-07-25 出版日期:2018-05-08 发布日期:2019-01-03
作者简介:张朝龙(1982-),男,安徽明光,博士生,副教授,研究方向为复杂电气和电子系统故障诊断与预测。
基金资助:
国家自然科学基金(51607004, 51577046, 51637004); 国家重点研发计划(2016YFF0102200),安徽省自然科学基金(1608085QF157)

Approach for Lithium-ion Battery RUL Prognostics Based on CPSO-RVM

Zhang Chaolong^1,2, He Yigang², Yuan Lifen²

1. School of Physics and Electronic Engineering, Anqing Normal University, Anqing 246011, China;
2. School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China

Received:2017-04-01 Revised:2017-07-25 Online:2018-05-08 Published:2019-01-03

摘要/Abstract

摘要： 针对锂电池健康状况测量数据中经常伴随着各种类型及大小的噪声,本文提出了一种基于小波去噪和混沌粒子群-相关向量机的锂电池剩余寿命预测方法。执行小波二次降噪,削弱测量数据中的大噪声信号及消除测量数据中的小噪声信号,从而提取原始数据;将经混沌粒子群算法优化的相关向量机算法用于估计锂电池各个充放电周期健康状况的变化轨迹,并预测锂电池的剩余寿命。基于美国国家航空航天局提供的锂电池测量数据,对提出的方法进行了有效性验证。

关键词: 锂电池, 剩余寿命, 健康状况, 小波降噪, 相关向量机, 混沌粒子群

Abstract: On account of the measured battery state of health (SOH) data are often subject to different levels of noise pollution, a battery remaining useful life (RUL) prognostics approach is presented based on wavelet denoising and CPSO-RVM in the paper. Wavelet denoising is performed twice with different thresholds in order to weaken the strong noise and remove the weak noise. Relevance vector machine (RVM) improved by chaos particle swarm optimization (CPSO) algorithm is utilized to estimate the trend of battery SOH variation trajectory and predict the battery RUL based on the denoised data. RUL prognostic experiments using battery data provided by NASA are conducted and the effectiveness of the presented approach is validated.

Key words: lithium-ion battery, RUL, SOH, wavelet denoising, RVM, CPSO

中图分类号:

TM933.4

张朝龙, 何怡刚, 袁莉芬. 基于CPSO-RVM的锂电池剩余寿命预测方法[J]. 系统仿真学报, 2018, 30(5): 1935-1940.

Zhang Chaolong, He Yigang, Yuan Lifen. Approach for Lithium-ion Battery RUL Prognostics Based on CPSO-RVM[J]. Journal of System Simulation, 2018, 30(5): 1935-1940.

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基于CPSO-RVM的锂电池剩余寿命预测方法

Approach for Lithium-ion Battery RUL Prognostics Based on CPSO-RVM

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