Equivalent circuit model parameters extraction for lithium ion batteries using electrochemical impedance spectroscopy

Vyroubal, Petr; Kazda, Tomáš

doi:10.1016/j.est.2017.10.019

Cited by 84 publications

(39 citation statements)

References 14 publications

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“…They are observed in the highest frequency ranges of the EIS spectrum, characterized by the materials and the surface geometry, where in our case deviate form 10 4 to 10 2 Hz. Also, the parallel branch R 1 with the constant phase element (CPE) Q 1 which combines the kinetics impedance related to the electrochemical charge-transfer and double layer, it takes place in the range of 10 3 to 10 0 Hz [51,52]. Lastly, a second CPE Q 2 related to diffusion process and the mass transportation is modeled which is considered at low frequencies and time-constant in the range of several seconds to minutes [53,54].…”

Section: In Frequency Domainmentioning

confidence: 99%

Comparative Study on Parameter Identification Methods for Dual-Polarization Lithium-Ion Equivalent Circuit Model

et al. 2019

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Md.Sazzad.Hosen@vub.be (M.S.H.); Mohsen.Akbarzadeh.Sokkeh@vub.be (M.A.S.); Shovon.Goutam@vub.be (S.G); Joris.Jaguemont@vub.be (J.J.); Maitane.Berecibar@vub.be (M.B.); Joeri.van.mierlo@vub.be (J.V.M.) 2 Flanders Make,Abstract: A lithium-ion battery cell's electrochemical performance can be obtained through a series of standardized experiments, and the optimal operation and monitoring is performed when a model of the Li-ions is generated and adopted. With discrete-time parameter identification processes, the electrical circuit models (ECM) of the cells are derived. Over their wide range, the dual-polarization (DP) ECM is proposed to characterize two prismatic cells with different anode electrodes. In most of the studies on battery modeling, attention is paid to the accuracy comparison of the various ECMs, usually for a certain Li-ion, whereas the parameter identification methods of the ECMs are rarely compared. Hence in this work, three different approaches are performed for a certain temperature throughout the whole SoC range of the cells for two different load profiles, suitable for light-and heavy-duty electromotive applications. Analytical equations, least-square-based methods, and heuristic algorithms used for model parameterization are compared in terms of voltage accuracy, robustness, and computational time. The influence of the ECMs' parameter variation on the voltage root mean square error (RMSE) is assessed as well with impedance spectroscopy in terms of Ohmic, internal, and total resistance comparisons. Li-ion cells are thoroughly electrically characterized and the following conclusions are drawn: (1) All methods are suitable for the modeling, giving a good agreement with the experimental data with less than 3% max voltage relative error and 30 mV RMSE in most cases. (2) Particle swarm optimization (PSO) method is the best trade-off in terms of computational time, accuracy, and robustness. (3) Genetic algorithm (GA) lack of computational time compared to PSO and LS (4) The internal resistance behavior, investigated for the PSO, showed a positive correlation to the voltage error, depending on the chemistry and loading profile.

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Section: In Frequency Domainmentioning

confidence: 99%

Comparative Study on Parameter Identification Methods for Dual-Polarization Lithium-Ion Equivalent Circuit Model

et al. 2019

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“…While it is theoretically possible to scale the signals to have identical RMS values (or identical peak values-but not both at the same time), this leads to suboptimal results for either multi-sine or stepped-sine in real applications. (3) 97.4 µW 561 µW Signal Length 58.91 s 1 s Signal Energy (3) 5.74 mJ 0.56 mJ (1) Pause intervals between frequency points excluded; (2) Maximum of absolute value; (3) At 10 mΩ pure-ohmic load.…”

Section: Eis Measurements Of Precision Shunt Resistormentioning

confidence: 99%

“…In recent years, Electrochemical Impedance Spectroscopy (EIS) has proven to be a valuable tool for the characterization of electrical, thermal and aging behavior of battery cells and other electrochemical systems, such as supercapacitors [1]. Its results are widely used to parameterize battery models for state estimation in various applications [2]. While it has almost exclusively been used in a laboratory environment in the past, most recently there has been some progress to adapt and integrate EIS techniques into Battery Management System (BMS) for online monitoring of large battery systems [3][4][5], for example, as used in electric vehicles.…”

Section: Introductionmentioning

confidence: 99%

Application of Time-Resolved Multi-Sine Impedance Spectroscopy for Lithium-Ion Battery Characterization

2018

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Electrochemical Impedance Spectroscopy (EIS) is a valuable tool for the characterization of electrical, thermal and aging behavior of batteries. In this paper, an EIS measurement technique to acquire impedance spectra with high time resolution is examined, which can be used to gather impedance data during dynamic operating conditions. A theoretical analysis of the used multi-sine excitation signals is performed in detail and a practical measurement system is presented and validated. Afterwards, EIS measurements during the charging process of a lithium-ion battery are performed and discussed.

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“…A well‐known technique for parameters' identification method for ECMs is recursive least squares (RLS) and its variations . For frequency domain test, electrochemical impedance spectroscopy (EIS) measurements are utilized to obtain these parameters of ECMs . Khalid et al proposed impedance analyzer and Bayesian network method to fit the parameters of the ECM circuit elements.…”

Section: Introductionmentioning

confidence: 99%

A comparative study of lumped equivalent circuit models of a lithium battery for state of charge prediction

et al. 2019

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Summary Battery modeling plays an important role in remaining range prediction and battery management system development. An accurate and realistic battery model is essential to design an efficient electric storage system. The goal of this paper is to investigate the performance of different circuit topologies for diffusion process in the equivalent circuit models (ECMs). The theory of diffusion process approximation by using resistive‐capacitor (RC) networks is explained in frequency domain. The terminal voltage predictive capabilities of the ECMs are compared and validated with test data. The numerical simulation results show that model prediction accuracy and computation burdens increase along with the number of RC pairs. The ECM with three RC networks is the best choice in terms of the balance between accuracy and complexity for ternary lithium batteries. In addition, a novel method of combining unscented Kalman filter (UKF) algorithm with initial state of charge (SOC) acceleration convergence for SOC estimation is proposed. The results of urban dynamometer driving schedule (UDDS) show that ECM with three RC networks has the best comprehensive performance on calculation cost and SOC estimation accuracy.

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Equivalent circuit model parameters extraction for lithium ion batteries using electrochemical impedance spectroscopy

Cited by 84 publications

References 14 publications

Comparative Study on Parameter Identification Methods for Dual-Polarization Lithium-Ion Equivalent Circuit Model

Comparative Study on Parameter Identification Methods for Dual-Polarization Lithium-Ion Equivalent Circuit Model

Application of Time-Resolved Multi-Sine Impedance Spectroscopy for Lithium-Ion Battery Characterization

A comparative study of lumped equivalent circuit models of a lithium battery for state of charge prediction

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