谷   明 孙绍国 周   航（天津大学建筑设计研究院，天津市 300073）

On-line Estimation for Health State of EPS Accumulator*

GU Ming SUN Shaoguo ZHOU Hang（Tianjin University Research Institute of Architectural

Design & Urban Planning，Tianjin 300073，China）

    Abstract：An method for on-line estimation for state of health（SOH）of the accumulator based on the relevance vector machine（RVM）is proposed on the basis of analysis of the relevance between the charging time and capacity of the accumulator，which can realize real-time monitoring of state of health of the accumulator of emergency power supply（EPS），with great significance to ensure efficient and stable operation of EPS and improve system service life.

    Key words：emergency power supply；accumulator；on-line estimation of state of health；battery management system；main control module；stage discharge；constant voltage charging time； cross-validation method

  摘 要：在分析蓄电池充电时间与容量之间的相关性的基础上，提出一种基于相关向量机（relevance vector machine，RVM）的蓄电池在线健康状态估计（state of health，SOH）方法，可以实现对应急电源（Emergency Power Supply，EPS）蓄电池健康状态的实时监测，对保证EPS的高效稳定运行和提高系统寿命有重要意义。

  关键词：应急电源；蓄电池；健康状态在线估计；电池管理系统；主控模块；阶段放电；恒压充电时间；交叉验证方法

     中图分类号：TU852                文献标识码：A

      doi：10. 3969 / j. issn. 1003 - 8493. 2019. 09. 006