文献类型：会议论文

英文题名：Research of System Identification for Ni/MH Battery State of Charge Based on a Short Sequence and Multi-sample Process

作者：Long, Jianxiong[1];Yu, Linming[1];Chen, Shi[2]

第一作者：龙建雄

通讯作者：Long, JX[1]

机构：[1]Beijing Union Univ, Coll Appl Sci & Technol, Beijing 102200, Peoples R China;[2]Beijing Inst Technol, Sch Chem Engn & Environm, Beijing 100081, Peoples R China

第一机构：北京联合大学应用科技学院

通讯机构：[1]corresponding author), Beijing Union Univ, Coll Appl Sci & Technol, Beijing 102200, Peoples R China.|[1141775]北京联合大学应用科技学院;[11417]北京联合大学;

会议论文集：2nd International Conference on Advanced Materials and Information Technology Processing (AMITP 2012)

会议日期：OCT 17-18, 2012

会议地点：Taipei, TAIWAN

语种：英文

外文关键词：State of Charge (SOC); Short Sequence; Multi-Sample; System Identification

摘要：In the battery state of charge of a systematic analysis, the observed data has a property that is the direction of time t (referred to as vertical) for a limited length, and number of samples obtained by N (called horizontal) for the infinite data set {y(1)(T)}(N)(infinity), it is called as a short sequence and multi-sample time series. By studying the characteristic of this time series, a new system identification method has been proposed, and the system identifiability for this process has been demonstrated. Through practice simulations, a satisfactory application results have been obtained. This feature of the time series identification problem is the same in other areas have a certain reference value.