Simultaneous state and logarithmic parameter estimation of lithium-ion batteries using UKF

Atsushi Baba, Shuichi Adachi

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

A rechargeable battery is one of the key technologies in hybrid electric vehicles (HEVs) and electric vehicles (EVs). Although it is important to know the states and parameters of the battery to maximize its efficiency and safety, there are still some difficulties in estimating them. This paper focuses on the simultaneous state and parameter estimation of the battery. The estimation often suffers from poor numerical stability, and to address this issue, simultaneous state and "logarithmic" parameter estimation of batteries is proposed and implemented. This approach is verified by performing a series of simulations under an EV operating environment.

Original languageEnglish
Pages (from-to)1139-1147
Number of pages9
JournalIEEJ Transactions on Industry Applications
Volume133
Issue number12
DOIs
Publication statusPublished - 2013

Fingerprint

Electric vehicles
Parameter estimation
Secondary batteries
Convergence of numerical methods
Hybrid vehicles
State estimation
Lithium-ion batteries

Keywords

  • Battery
  • Electric vehicle (EV)
  • Lognormal distribution
  • Simultaneous state and parameter estimation
  • Unscented Kalman filter
  • Warburg impedance

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

Cite this

Simultaneous state and logarithmic parameter estimation of lithium-ion batteries using UKF. / Baba, Atsushi; Adachi, Shuichi.

In: IEEJ Transactions on Industry Applications, Vol. 133, No. 12, 2013, p. 1139-1147.

Research output: Contribution to journalArticle

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