Research on peak power estimation for traction battery pack

Cai Ping Zhang*, Cheng Ning Zhang, Jun Qiu Li

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Battery peak power estimation has important theoretical significance and utility value for using battery properly and rising its lifetime; and it is one of important parts for battery management system. To estimate battery peak power under dynamic condition, an estimation algorithm with multi-parameters constrained based on dynamic battery model was developed. And the applicability of equivalent circuit models for Lithium-Ion batteries was analyzed. It is shown that with Thevenin model, the estimation algorithm with multi-parameters constrained could compute real-time peak power of the battery and could provide accurate charge/discharge power capability for electric vehicles so as to use battery correctly and protect battery.

Original languageEnglish
Pages (from-to)1524-1527
Number of pages4
JournalXitong Fangzhen Xuebao / Journal of System Simulation
Volume22
Issue number6
Publication statusPublished - Jun 2010

Keywords

  • Electric vehicles
  • Estimation algorithm
  • Peak power
  • Traction battery

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