A Novel Current Disturbance Estimation Method for Battery Management Systems in Electric Vehicle

  • Jun Xu
  • , Shiying Li
  • , Binggang Cao

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

Abstract

Current information is of great importance for battery management systems (BMSs), especially for the estimation of state of charge (SOC), state of health (SOH), etc. However, current information may have large disturbance caused by the current sensor. As a result, the estimated states will suffer large estimation error. This paper tries to estimate the current disturbance, and with the estimated disturbance, the obtained SOC could be accurate. The simplified battery model is utilized to the current disturbance estimation method and the accurate current disturbance could be obtained. The simulation work bench is established to verify the proposed method. The simulation results indicate that the proposed method can accurately estimate the current disturbance. Accordingly, with the accurate estimated current disturbance, the estimated SOC is very accurate too.

Original languageEnglish
Pages (from-to)2837-2842
Number of pages6
JournalEnergy Procedia
Volume105
DOIs
StatePublished - 2017
Event8th International Conference on Applied Energy, ICAE 2016 - Beijing, China
Duration: 8 Oct 201611 Oct 2016

Keywords

  • Battery management system
  • Battery model
  • Current disturbance
  • Electric vehicle
  • Proportional integral observer
  • State estimation

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