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

Tanvir R. Tanim, Christopher D. Rahn and Chao-Yang Wang

Energy, 2015, vol. 80, issue C, 731-739

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.

Keywords: Lithium ion battery; SPM (single particle model); SOC (state of charge); BMS (battery management system) (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (30)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:80:y:2015:i:c:p:731-739

DOI: 10.1016/j.energy.2014.12.031

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