Reliability Evaluation and In-Orbit Residual Life Prediction for Satellite Lithium-Ion Batteries
Joint Authors
Liu, Tianyu
Yu, Bin
Zhang, Tao
Yao, Lei
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-06
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Yu, Bin& Zhang, Tao& Liu, Tianyu& Yao, Lei. 2018. Reliability Evaluation and In-Orbit Residual Life Prediction for Satellite Lithium-Ion Batteries. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1208117
Modern Language Association (MLA)
Yu, Bin…[et al.]. Reliability Evaluation and In-Orbit Residual Life Prediction for Satellite Lithium-Ion Batteries. Mathematical Problems in Engineering No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1208117
American Medical Association (AMA)
Yu, Bin& Zhang, Tao& Liu, Tianyu& Yao, Lei. Reliability Evaluation and In-Orbit Residual Life Prediction for Satellite Lithium-Ion Batteries. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1208117
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208117