Reliability Evaluation and In-Orbit Residual Life Prediction for Satellite Lithium-Ion Batteries

Reliability Evaluation and In-Orbit Residual Life Prediction for Satellite Lithium-Ion Batteries

As a new type of secondary battery, lithium-ion battery is widely used in the aerospace industry with the advantages of long lifetime, high energy density and low pollution, etc. In this paper, we focus on the problem of offline and online life prediction for satellite lithium-ion batteries. Firstly...

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Main Authors: Bin Yu, Tao Zhang, Tianyu Liu, Lei Yao
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2018/5918068
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spelling doaj-cb663649d5db4c5c83acb7c740d730a22020-11-24T22:22:41ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472018-01-01201810.1155/2018/59180685918068Reliability Evaluation and In-Orbit Residual Life Prediction for Satellite Lithium-Ion BatteriesBin Yu0Tao Zhang1Tianyu Liu2Lei Yao3College of System Engineering, National University of Defense Technology, Changsha, ChinaCollege of System Engineering, National University of Defense Technology, Changsha, ChinaCollege of System Engineering, National University of Defense Technology, Changsha, ChinaCollege of System Engineering, National University of Defense Technology, Changsha, ChinaAs a new type of secondary battery, lithium-ion battery is widely used in the aerospace industry with the advantages of long lifetime, high energy density and low pollution, etc. In this paper, we focus on the problem of offline and online life prediction for satellite lithium-ion batteries. Firstly, based on the NASA laboratory battery dataset, a Wiener process with time-scale transformation is used to capture battery capacity fading, and then the battery reliability point and interval estimation equation are derived, respectively. Secondly, by analyzing the charge and discharge profiles of the batteries in orbit environments, an accurate capacity prediction model is proposed based on the partial charging curves. Finally, the Bayesian framework is used to perform capacity degradation model online updating, and the analytical expression of residual life distribution is derived to achieve RL prediction for in-orbit satellite lithium-ion batteries.http://dx.doi.org/10.1155/2018/5918068
collection DOAJ
language English
format Article
sources DOAJ
author Bin Yu
Tao Zhang
Tianyu Liu
Lei Yao
spellingShingle Bin Yu
Tao Zhang
Tianyu Liu
Lei Yao
Reliability Evaluation and In-Orbit Residual Life Prediction for Satellite Lithium-Ion Batteries
Mathematical Problems in Engineering
author_facet Bin Yu
Tao Zhang
Tianyu Liu
Lei Yao
author_sort Bin Yu
title Reliability Evaluation and In-Orbit Residual Life Prediction for Satellite Lithium-Ion Batteries
title_short Reliability Evaluation and In-Orbit Residual Life Prediction for Satellite Lithium-Ion Batteries
title_full Reliability Evaluation and In-Orbit Residual Life Prediction for Satellite Lithium-Ion Batteries
title_fullStr Reliability Evaluation and In-Orbit Residual Life Prediction for Satellite Lithium-Ion Batteries
title_full_unstemmed Reliability Evaluation and In-Orbit Residual Life Prediction for Satellite Lithium-Ion Batteries
title_sort reliability evaluation and in-orbit residual life prediction for satellite lithium-ion batteries
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2018-01-01
description As a new type of secondary battery, lithium-ion battery is widely used in the aerospace industry with the advantages of long lifetime, high energy density and low pollution, etc. In this paper, we focus on the problem of offline and online life prediction for satellite lithium-ion batteries. Firstly, based on the NASA laboratory battery dataset, a Wiener process with time-scale transformation is used to capture battery capacity fading, and then the battery reliability point and interval estimation equation are derived, respectively. Secondly, by analyzing the charge and discharge profiles of the batteries in orbit environments, an accurate capacity prediction model is proposed based on the partial charging curves. Finally, the Bayesian framework is used to perform capacity degradation model online updating, and the analytical expression of residual life distribution is derived to achieve RL prediction for in-orbit satellite lithium-ion batteries.
url http://dx.doi.org/10.1155/2018/5918068
work_keys_str_mv AT binyu reliabilityevaluationandinorbitresiduallifepredictionforsatellitelithiumionbatteries
AT taozhang reliabilityevaluationandinorbitresiduallifepredictionforsatellitelithiumionbatteries
AT tianyuliu reliabilityevaluationandinorbitresiduallifepredictionforsatellitelithiumionbatteries
AT leiyao reliabilityevaluationandinorbitresiduallifepredictionforsatellitelithiumionbatteries
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