State of charge estimation of a lithium ion cell based on a temperature dependent and electrolyte enhanced single particle model

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Abstract

SOC (state of charge) estimation provides critical information to system engineers and end users of consumer electronics to electric vehicles. The accuracy of model-based SOC estimation depends on the accuracy of the underlying model, including temperature effects that greatly influence cell dynamics. This paper uses a 7th order, linear, ESPM (electrolyte enhanced single particle model) as the basis for a Luenberger SOC observer for a lithium ion cell. Isothermal and non-isothermal simulations compare the SOC from a commercially-available finite volume code and the SOC estimate for a wide range of temperature (0≤T≤50 °C) and pulse C-rates (|I|≤15C). Arrhenius relationships between the ESPM model parameters and the sensed temperature improve SOC estimation. At low temperature (T< 10 °C) and low C-rates, temperature measurement reduces the RMS (root-mean square) SOC estimation error by up to ten times. At high temperature T≥ 40 °C and high C-rates (|I|≤15C), temperature measurement decreases SOC estimation error by more than three times.

Original languageEnglish (US)
Pages (from-to)731-739
Number of pages9
JournalEnergy
Volume80
DOIs
StatePublished - Feb 1 2015

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Building and Construction
  • Pollution
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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