4.7 Article

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

期刊

ENERGY
卷 80, 期 -, 页码 731-739

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2014.12.031

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Lithium ion battery; SPM (single particle model); SOC (state of charge); EMS (battery management system)

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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 degrees C) and pulse C-rates (vertical bar I vertical bar <= 15C). Arrhenius relationships between the ESPM model parameters and the sensed temperature improve SOC estimation. At low temperature (T < 10 degrees 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 degrees C and high C-rates (vertical bar I vertical bar <= 15C), temperature measurement decreases SOC estimation error by more than three times. (C) 2014 Elsevier Ltd. All rights reserved.

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