Mechanistic modelling of cyclic voltage-capacity response for lithium-ion batteries

Nagode, Marko; Gosar, Aleš; Sweeney, Caoimhe A.; Jaguemont, Joris; Mierlo, Joeri Van; Šeruga, Domen

doi:10.1016/j.energy.2019.07.121

Cited by 7 publications

(8 citation statements)

References 51 publications

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“…Whilst the model can be used with arbitrary battery loading history, the procedure here has essentially been designed to complement a current and temperature dependent battery voltage-capacity behaviour model. Details on the battery response modelling can be found in [59], as a full discussion of the voltage-capacity simulation is out with the scope of this paper.…”

Section: Proposed Model Backgroundmentioning

confidence: 99%

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Continuous modelling of cyclic ageing for lithium-ion batteries

Šeruga

Gosar

Sweeney

et al. 2021

Energy

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Section: Proposed Model Backgroundmentioning

confidence: 99%

“…In order to follow the idea of implementing the principles of the metal fatigue approach for LIB, a damage parameter based on the Smith-Watson-Topper's energy criterion [61], here rewritten by electrical equivalents [59], is introduced in a general form as follows…”

Section: Establishing the Damage Parametermentioning

confidence: 99%

Continuous modelling of cyclic ageing for lithium-ion batteries

Šeruga

Gosar

Sweeney

et al. 2021

Energy

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“…Numerous battery modeling methods have been explored extensively in literature based on their accuracy and complexity. The motivation behind the work is to propose a lithium‐ion battery model, that can predict battery behavior under dynamic load conditions 5‐9 . From the published literature it has been found that battery models are categorized into four types 10 .…”

Section: Introductionmentioning

confidence: 99%

Investigation on lithium ion battery equivalent circuit models for dynamic load profiles

2021

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To achieve accurate prediction of the nonlinear behavior of lithium‐ion battery, parameters of the lithium‐ion battery model play a key role for dynamic performance, hence the parameters of the investigated battery model have been estimated. In this work, the electrical equivalent circuit (ECM) models have been used to simulate INR18650‐20R lithium‐ion battery response at 0°C, 25°C, and 45°C, respectively. The ECM model parameters are estimated using incremental open‐circuit voltage (OCV) profile and Trust‐Region Reflective algorithm by the Non‐Linear Least Squares method. The estimated parameters of the ECM model experimentally validated using independent dynamic current profiles including Dynamic Stress Test (DST), Federal urban driving schedule (FUDS), Beijing Dynamic Stress test (BJDST), and US06 at 0°C, 25°C, and 45°C, respectively. Coulomb‐counting based algorithms are implemented for model‐based online SoC estimation. The investigated ECM model with three parallel RC branches exhibits accuracy below 1.8% for different temperature levels and seems suitable to capture the nonlinear dynamics of lithium‐ion batteries for EV application. It is confirmed that the errors resulting from the investigated ECM model are significantly reduced comparatively existing published models.

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“…In order to improve the simulation accuracy, n ‐order RC models were used to describe the dynamic performance of LIBs . In addition, the hysteretic property of the open‐circuit voltage (OCV) in the charging and discharging processes was also considered during battery behavior modeling . As a result, n ‐order RC battery models with hysteresis were proposed .…”

Section: Introductionmentioning

confidence: 99%

“…[16][17][18] In addition, the hysteretic property of the opencircuit voltage (OCV) in the charging and discharging processes was also considered during battery behavior modeling. 19,20 As a result, n-order RC battery models with hysteresis were proposed. 21,22 In the field of dynamic behavior modeling for EDLC, Manla et al proposed a capacitor-based equivalent model for an EDLC.…”

Section: Introductionmentioning

confidence: 99%

Modeling and comparative analysis of a lithium‐ion hybrid capacitor under different temperature conditions

Huang

Tian

et al. 2020

Int J Energy Res

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Summary As a combination of the battery‐type material and the supercapacitor‐type material, lithium‐ion hybrid capacitors (LIHCs) can achieve high energy density and high power density. An optimal model is essential to manage the LIHCs effectively for electric vehicle applications. However, modeling of LIHCs has not been systematically investigated. In this paper, the basic dynamic performance of a commercial LIHC is comprehensively analyzed. Two battery‐supercapacitor hybrid (BSH) models are proposed on the basis of physical structure and dynamic performance of the LIHC. Meanwhile, nine battery models and two supercapacitor models are systematically compared to determine the optimal model for the LIHC under different temperature conditions. All the model parameters are calibrated with the dynamic response analysis in the time domain. The applicability of the 13 equivalent circuit models (ECMs) under three different temperature conditions are evaluated. According to the evaluation results, the BSH models with highest accuracy and moderate computational complexity are more appropriate for the LIHC behavior description in the electric vehicle operating conditions. This research can well guide the modeling of LIHCs and their state estimator design.

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Mechanistic modelling of cyclic voltage-capacity response for lithium-ion batteries

Cited by 7 publications

References 51 publications

Continuous modelling of cyclic ageing for lithium-ion batteries

Continuous modelling of cyclic ageing for lithium-ion batteries

Investigation on lithium ion battery equivalent circuit models for dynamic load profiles

Modeling and comparative analysis of a lithium‐ion hybrid capacitor under different temperature conditions

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