Lithium-ion battery dynamic model for wide range of operating conditions

Stroe, Ana-Irina; Stroe, Daniel‐Ioan; Świerczyński, Maciej; Teodorescu, Remus; Kær, Søren Knudsen

doi:10.1109/optim.2017.7975044

Cited by 30 publications

(19 citation statements)

References 12 publications

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“…The 2-D lookup tables shown in Tables 6 and 7 were used to determine C1 and C2. The values of the capacitances C1 and C2 were determined by using the following equations [13]:…”

Section: C1 and C2 Calculationsmentioning

confidence: 99%

An Electrical Equivalent Circuit Model of a Lithium Titanate Oxide Battery

Madani¹,

Schaltz²,

Kær³

2019

Batteries

110

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A precise lithium-ion battery model is required to specify their appropriateness for different applications and to study their dynamic behavior. In addition, it is important to design an efficient battery system for power applications. In this investigation, a second-order equivalent electrical circuit battery model, which is the most conventional method of characterizing the behavior of a lithium-ion battery, was developed. The current pulse procedure was employed for parameterization of the model. The construction of the model was described in detail, and a battery model for a 13 Ah lithium titanate oxide battery cell was demonstrated. Comprehensive characterization experiments were accomplished for an extensive range of operating situations. The outcomes were employed to parameterize the suggested dynamic model of the lithium titanate oxide battery cell. The simulation outcomes were compared to the laboratory measurements. In addition, the proposed lithium-ion battery model was validated. The recommended model was assessed, and the proposed model was able to anticipate precisely the current and voltage performance.

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“…The 2-D lookup tables shown in Tables 6 and 7 were used to determine C1 and C2. The values of the capacitances C1 and C2 were determined by using the following equations [13]:…”

Section: C1 and C2 Calculationsmentioning

confidence: 99%

An Electrical Equivalent Circuit Model of a Lithium Titanate Oxide Battery

Madani¹,

Schaltz²,

Kær³

2019

Batteries

110

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“…Waag et al in [63] used -an application specific-linear approach of the voltage response at a 10 s current excitation to decouple the Ohmic and the electrochemical to the concentration polarization overpotential after a 5 s period. On the other side, it usually appears as an arbitrary process, sample/time-dependent and defined from observations on the voltage pulse behavior [74][75][76][77]. As a general rule, the concentration polarization voltage response reaches steady state at approximately four to five-time constants ∆t = 5RC after switching off the current.…”

Section: Parameter Extraction With Analytical Equationsmentioning

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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“…The values of open circuit voltage, resistances, and capacitances of the 2RC equivalent circuit model are illustrated in Figure 9. The parameters of the 2RC equivalent circuit model were determined by using the following equations [18,19]: The values of open circuit voltage, resistances, and capacitances of the 2RC equivalent circuit model are illustrated in Figure 9. The parameters of the 2RC equivalent circuit model were determined by using the following equations [18,19]:…”

Section: Determination Of Electrical Parametersmentioning

confidence: 99%

Simulation of Thermal Behaviour of a Lithium Titanate Oxide Battery

2019

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One of the reasonable possibilities to investigate the battery behaviour under various temperature and current conditions is the development of a model of the lithium-ion batteries and then by employing the simulation technique to anticipate their behaviour. This method not only can save time but also they can predict the behaviour of the batteries through simulation. In this investigation, a three-dimensional model is developed to simulate thermal and electrochemical behaviour of a 13Ah lithium-ion battery. In addition, the temperature dependency of the battery cell parameters was considered in the model in order to investigate the influence of temperature on various parameters such as heat generation during battery cell operation. Maccor automated test system and isothermal battery calorimeter were used as experimental setup to validate the thermal model, which was able to predict the heat generation rate and temperature at different positions of the battery. The three-dimensional temperature distributions which were achieved from the modelling and experiment were in well agreement with each other throughout the entire of discharge cycling at different environmental temperatures and discharge rates.

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Lithium-ion battery dynamic model for wide range of operating conditions

Cited by 30 publications

References 12 publications

An Electrical Equivalent Circuit Model of a Lithium Titanate Oxide Battery

An Electrical Equivalent Circuit Model of a Lithium Titanate Oxide Battery

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

Simulation of Thermal Behaviour of a Lithium Titanate Oxide Battery

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