Research of system identification for Ni/MH battery state of charge based on a short sequence and multi-sample process

Jianxiong Long*, Linming Yu, Shi Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

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 {yT/1} ∞/N, 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.

Original languageEnglish
Title of host publicationAdvanced Materials and Information Technology Processing II
Pages322-327
Number of pages6
DOIs
Publication statusPublished - 2012
Event2012 2nd International Conference on Advanced Materials and Information Technology Processing, AMITP 2012 - Taipei, Taiwan, Province of China
Duration: 17 Oct 201218 Oct 2012

Publication series

NameAdvanced Materials Research
Volume586
ISSN (Print)1022-6680

Conference

Conference2012 2nd International Conference on Advanced Materials and Information Technology Processing, AMITP 2012
Country/TerritoryTaiwan, Province of China
CityTaipei
Period17/10/1218/10/12

Keywords

  • Multi-sample
  • Short sequence
  • State of charge (SOC)
  • System identification

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