Dynamic Modeling of Li-Ion Batteries Using an Equivalent Electrical Circuit

Dry sintered macroporous Si electrodes for Li-ion batteries are first studied using spectral impedance measurements (EIS). The obtained EIS spectra in the lithiated and delithated state are modeled by an equivalent electrical circuit, the parameters of which make it possible to determine the main stages of the electrochemical process of lithium incorporation / extraction caused by the surface layer of solid-state electrolyte (SEI), a double electric layer, and diffusion in the solid phase of the electrode material. It was shown that the effective diffusion coefficient of Li in Si increases with rising degree of lithiation from D = 6.5·10 ^ (-12) cm2/s to D = 2.6·10^ (-10) cm2/s. The effect of carbonization by sucrose pyrolysis was studied, which led to a decrease in impedance and an increase in the diffusion coefficient of lithium to D = 2.2·10^(-10) - 1.7·10^(-9) cm2/s.

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Modeling of Li$_{x}$FePO$_{4}$ Cathode Li-Ion Batteries Using Linear Electrical Circuit Model

IEEE Transactions on Sustainable Energy ◽

10.1109/tste.2013.2267752 ◽

2013 ◽

Vol 4 (4) ◽

pp. 1065-1070 ◽

Cited By ~ 22

Author(s):

Michael Greenleaf ◽

Hui Li ◽

Jim P. Zheng

Keyword(s):

Electrical Circuit ◽

Circuit Model ◽

Li Ion Batteries ◽

Li Ion ◽

Electrical Circuit Model

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Li-Ion Battery Pack Characterization and Equivalent Electrical Circuit Model Development

10.4271/2014-01-1839 ◽

2014 ◽

Cited By ~ 2

Author(s):

Oguz H. Dagci ◽

Ram Chandrasekaran

Keyword(s):

Model Development ◽

Electrical Circuit ◽

Circuit Model ◽

Battery Pack ◽

Equivalent Electrical Circuit ◽

Li Ion Battery ◽

Li Ion ◽

Electrical Circuit Model ◽

Equivalent Electrical Circuit Model

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An Ensemble Bias-Correction Method With Adaptive Weights for Dynamic Modeling of Lithium-Ion Batteries

Volume 1: 37th Computers and Information in Engineering Conference ◽

10.1115/detc2017-68416 ◽

2017 ◽

Author(s):

Yifei Li ◽

Mohammad Kazem Sadoughi ◽

Zhixiong Li ◽

Chao Hu

Keyword(s):

Dynamic Modeling ◽

Dynamic Characteristics ◽

Bias Correction ◽

Equivalent Circuit Model ◽

Lithium Ion ◽

Correction Method ◽

Li Ion Batteries ◽

Li Ion Battery ◽

Adaptive Weights ◽

Li Ion

Accurate modeling of the electrical behavior of a lithiumion (Li-ion) battery can provide accurate dynamic characteristics of the battery during charging/discharging and relaxation phases, which is essential to accurate online estimation of the battery state of charge (SoC). This paper proposes an ensemble bias-correction (BC) method with adaptive weights to improve the accuracy of an equivalent circuit model (ECM) in dynamic modeling of Li-ion batteries. The contribution of this paper is twofold: (i) the development of a novel ensemble method based on BC learning to model the dynamic characteristics of Li-ion batteries; and (ii) the creation of an adaptive-weighting scheme to learn online the weights of offline member BC models for building an online ensemble BC model. Repeated pulsing tests with single and multiple C-rates were conducted on seven Li-ion battery cells to evaluate the effectiveness of the proposed ensemble BC method. The analysis results with the use of an ECM demonstrate that the proposed method can reduce, on average, the voltage modeling error of the ECM by at least 50%.

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