A Mathematical Model for Dynamic Operation of Zinc-Air Battery Cells

Olaru, Sorin; Golovkina, Anna; Lao-atiman, Woranunt; Kheawhom, Soorathep

doi:10.1016/j.ifacol.2019.11.028

Cited by 4 publications

(5 citation statements)

References 10 publications

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“…13b, the monotonicity assumption can be verified in the present study from the resulting identified model. Finally, as an additional validation of the proposed model in comparison with the one in [11], the current profile from the validation set of Fig. 11 was applied to both models, resulting in an RMS error of 0.261 for the old model and of 0.0683 for the model developed in this study, confirming the interest of the present approach.…”

Section: Model Validation and Comparative Analysissupporting

confidence: 64%

“…3) Sigmoid's slope at the inflection point, noted as C 1 , is a function of the current. The model in [11] is one of the methods that can be adopted to find an appropriate cell model. It proposes two sigmoidal structures to describe the cell's voltage characteristics (Boltzmann and bi-phasic).…”

Section: Modelingmentioning

confidence: 99%

“…function of the current was also made to verify the monotonicity hypothesis. Here, the parameter tendencies are compared to the ones obtained in [11], which are based on constant current discharge. Starting with the inflection points, one can notice the superposition of the curves in Fig.…”

Section: Model Validation and Comparative Analysismentioning

confidence: 99%

“…The latter is the most sensitive parameter in battery modeling because it represents the essential indicator for depletion. The existing results on this topic [11] exploit curves obtained at different constant discharge currents up to the complete depletion. This approach is reliable for identifying the evolution of the output voltage but ignores the transitory effects.…”

Section: Introductionmentioning

confidence: 99%

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Model-Based Voltage Prediction for a Zinc-Air Cell Subject to Piecewise Constant Discharge Currents

Pineda Rodriguez,

Olaru,

Vlad

et al. 2023

2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)

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The paper is dedicated to the modeling of the dynamical behavior of a Zinc-Air battery. The main goal is to construct a model-based prediction mechanism for the output voltage of the battery cell as a function of the discharge current profile. There are several difficulties behind this construction, mainly related to the nonlinear behavior, the high influence of the cell geometrical configuration, and ultimately the impact of the measurements in the transitory. The current work goes a step forward with respect to the constant current models developed in the previous studies and enhances a series of modeling hypotheses through the analysis of a piece-wise constant discharge profile.The important advantage of the results presented in the current work is related to the real-data measurements accompanied by the detailed pre-treatment procedures and, finally, to the construction of the model and the comparison with the existing alternative approaches.

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Section: Model Validation and Comparative Analysissupporting

confidence: 64%

Section: Modelingmentioning

confidence: 99%

Section: Model Validation and Comparative Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Model-Based Voltage Prediction for a Zinc-Air Cell Subject to Piecewise Constant Discharge Currents

Pineda Rodriguez,

Olaru,

Vlad

et al. 2023

2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)

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“…For the development of ZABs, model-based engineering has proved to be very effective. It offers better understanding of the behavioural characteristics of the batteries, resulting in an enhanced design and operation [30][31][32] . Nevertheless, it is acknowledged that developed models need to be validated using reliable experimental data, in various configurations.…”

Section: Background and Summarymentioning

confidence: 99%

Discharge profile of a zinc-air flow battery at various electrolyte flow rates and discharge currents

Abbasi¹,

Hosseini²,

Somwangthanaroj³

et al. 2020

Sci Data

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Nowadays, due to global warming stemming from excessive use of fossil fuel, there is considerable interest in promoting renewable energy sources. However, because of the intermittent nature of these energy sources, efficient energy storage systems are needed. In this regard, zinc-air flow batteries (ZAFBs) are seen as having the capability to fulfill this function. In flow batteries, the electrolyte is stored in external tanks and circulated through the cell. This study provides the requisite experimental data for parameter estimation as well as model validation of ZAFBs. Each data set includes: current (mA), voltage (V), capacity (mAh), specific capacity (mAh/g), energy (Wh), specific energy (mWh/g) and discharge time (h:min:s.ms). Discharge data involved forty experiments with discharge current in the range of 100-200 mA, and electrolyte flow rates in the range of 0-140 ml/min. Such data are crucial for the modelling and theoretical/experimental analysis of ZAFBs.

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Model-based dynamical voltage prediction of Zinc-Air cell for piecewise discharge currents

Pineda-Rodriguez,

Vlad,

Rodriguez-Ayerbe

et al. 2024

IFAC-PapersOnLine

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A Mathematical Model for Dynamic Operation of Zinc-Air Battery Cells

Cited by 4 publications

References 10 publications

Model-Based Voltage Prediction for a Zinc-Air Cell Subject to Piecewise Constant Discharge Currents

Model-Based Voltage Prediction for a Zinc-Air Cell Subject to Piecewise Constant Discharge Currents

Discharge profile of a zinc-air flow battery at various electrolyte flow rates and discharge currents

Model-based dynamical voltage prediction of Zinc-Air cell for piecewise discharge currents

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