Error analysis for lithium-ion battery parameterization in cell cycle lifespan

  • Hong Min Ma
  • , Yuan Zou*
  • , Xiao Song Hu
  • , Zong Hai Wu
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

An improved electrical equivalent circuit (EEC) model combining the slow and fast dynamic behaviors of Li-ion battery is proposed based on Thevenin theory. Recursive least squares (RLS) algorithm is used to calibrate model parameters by means of the hybrid-pulse-power-characteristic dynamic test. The nominal model identified has good accuracy in capturing the dynamics of the fresh battery. The modeling uncertainty, however, increases, as the battery ages. Error analysis is carried out at different degradation levels in the battery lifetime, in order to quantify the aging effect on the battery dynamics and thus voltage behavior.

Original languageEnglish
Pages (from-to)225-230
Number of pages6
JournalJournal of Beijing Institute of Technology (English Edition)
Volume23
Publication statusPublished - 1 Dec 2014

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Battery degradation
  • Lithium-ion battery
  • Parameter estimation
  • Recursive least squares

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