Reliability Evaluation and In-Orbit Residual Life Prediction for Satellite Lithium-Ion Batteries. (6th December 2018)

• Record Type: Journal Article
• Authors: Yu, Bin; Zhang, Tao; Liu, Tianyu; Yao, Lei
• Other Names: Naddeo Alessandro Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2018(2018)
• Publication Date: 2018-12-06
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2018/5918068
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : 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.