Unification of internal resistance estimation methods for li-ion batteries using hysteresis-free equivalent circuit models

Document Type

Article

Publication Date

6-1-2020

Publication Title

Batteries

Volume

6

Issue

2

First Page

1

Keywords

Battery parameters, Electrochemical impedance spectroscopy, Equivalent circuit model, Internal resistance

Last Page

20

Abstract

Internal resistance is one of the important parameters in the Li-Ion battery. This paper identifies it using two different methods: electrochemical impedance spectroscopy (EIS) and parameter estimation based on equivalent circuit model (ECM). Comparing internal resistance, the conventional parameter estimation method yields a different value than EIS. Therefore, a hysteresis-free parameter identification method based on ECM is proposed. The proposed technique separates hysteresis resistance from the effective resistance. It precisely estimated actual internal resistance, which matches the internal resistance obtained from EIS. In addition, state of charge, open circuit voltage, and different internal equivalent circuit components were identified. The least square method was used to identify the parameters based on ECM. A parameter extraction algorithm to interpret impedance spectrum obtained from the EIS. The algorithm is based on the properties of Nyquist plot, phasor algebra, and resonances. Experiments were conducted using a cellphone pouch battery and a cylindrical 18650 battery.

DOI

10.3390/batteries6020032

E-ISSN

23130105

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