航天器蓄电池组在轨健康状态评价方法研究  

Research on method of health evaluation on battery of spacecraft in orbit

作　　者：孙世卓 李峰[1] 司佳佳 李雅琳[1] 蒋硕[1] SUN Shi-zhuo;LI Feng;SI Jia-jia;LI Ya-lin;JIANG Shuo(Institute of Telecommunication and Navigation Satellites,CAST,Beijing 100094,China)

机构地区：[1]中国空间技术研究院通信与导航卫星总体部,北京100094

出　　处：《电源技术》2020年第11期1658-1661,共4页Chinese Journal of Power Sources

摘　　要：针对目前难以及时准确评价航天器蓄电池组在轨健康状态的问题,提出了一种基于概率分布的数据健康判别方法。利用在轨数据提取表征蓄电池组单体健康的重要数据,建立蓄电池组健康态和健康临界态的概率分布。采用Kullback-Leibler差异(KL距离)判别算法确定蓄电池组是否处于健康状态,对非健康状态的蓄电池组进行在轨处理。该评价方法也可以应用于其他航天产品在轨健康状态评估、在轨管理。According to the question of how to timely and accurately evaluate the health of battery of spacecraft in orbit,a kind of health evaluation method based on probability distribution has been proposed by this paper.Important data which represent the health of the cells of battery had been extracted by the data in orbit.Probability distributions of healthy and critical healthy batteries had been established.The Kullback-Leibler distance method was used to evaluate the health of the battery.The unhealthy battery needs to be treated on orbit.The method makes reference to all kinds of spacecraft health evaluation and management in orbit.

关 键 词：蓄电池组 概率分布 健康评估 

分 类 号：TM91[电气工程—电力电子与电力传动]