4.7 Article

Electrochemical impedance spectroscopy based estimation of the state of charge of lithium-ion batteries

Journal

JOURNAL OF ENERGY STORAGE
Volume 8, Issue -, Pages 244-256

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.est.2016.09.001

Keywords

Electrochemical impedance spectroscopy; Lithium ion battery; State of charge

Categories

Funding

  1. European Regional Development Fund

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The increasing market demand for electric vehicles requires a continuous development and improvement of battery systems. A crucial aspect is the application of analytical methods to characterize the battery systems in the most exact way. At the same time these methods should remain as simple as possible. The current analysis procedures use essentially the battery system- and battery cell characteristic of the voltage curve in relaxation- and operation-time. These approaches alone are not conclusive enough due to the influences of relaxation time and varying load currents. In recent years, methods based on electrochemical impedance spectroscopy (EIS) have found application for accurate analysis of occurring electrochemical processes and diagnosis of lithium ion batteries. This publication aims to show how the state of charge can be predicted with the use of EIS and a simplified equivalent circuit for redundant supplementing the OCV-method (open circuit voltage) and the current- counting method. Therefore film batteries with a graphite anode and a Ni113 Mnil3 Co113 cathode are charged and discharged according to a specified procedure. The battery is (dis)charged with steps of 10% followed by an EIS measurement. The measured data is used to determine the elements of the simplified equivalent circuit. These elements are analyzed for their different values at various states of charge. From these measurements can be concluded that EIS can be applied for the estimation of state of charge (in the middle range) as redundant method to other estimation methods. It therefore provides an additionally methods by which statements about the battery conditions can be made. (C) 2016 Elsevier Ltd. All rights reserved.

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