Výsledky vyhledávání - "Bence Csomós"

Akademický článek

Estimation of Battery Separator Area, Cell Thickness and Diffusion Coefficient Based on Non-Ideal Liquid-Phase Diffusion Modeling

Autor: Bence Csomós, Dénes Fodor, István Vajda

Publikováno v: Energies, Vol 13, Iss 23, p 6238 (2020)

The aim of this work is to present a fast and in situ diffusion modeling technique to extract essential electrochemical parameters from liquid-phase diffusion which can be used to implement a realistic battery in a pseudo-2D finite element modeling e

Externí odkaz: https://doaj.org/article/f8bf9b416e2540d8a4f9208be73fa998

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Estimation of Battery Separator Area, Cell Thickness and Diffusion Coefficient Based on Non-Ideal Liquid-Phase Diffusion Modeling

Autor: Denes Fodor, Bence Csomós, Istvan Vajda

Publikováno v: Energies
Volume 13
Issue 23
Energies, Vol 13, Iss 6238, p 6238 (2020)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1b9255ce827aa21beae87cdc256cf98

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Identification of the material properties of an 18650 Li-ion battery for improving the electrochemical model used in cell testing

Autor: Bence Csomós, Denes Fodor

Publikováno v: Hungarian Journal of Industry and Chemistry. 48

The aim of this paper is to present an application of the generalized Warburg element and Constant Phase Element (CPE) for non-Fickian diffusion modeling. These distributed elements are intended to provide a better fit of low-frequency impedance data

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4076e7b1318a8664582cea88846ed776
https://doi.org/10.33927/hjic-2020-06

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Initial Electrical Parameter Validation in Lead-Acid Battery Model Used for State Estimation

Autor: Bence Csomós, Gabor Kohlrusz, Denes Fodor

Publikováno v: Hungarian Journal of Industry and Chemistry, Vol 45, Iss 1, Pp 67-71 (2017)

The paper presents a current impulse-based excitation method for lead-acid batteries in order to define the initial electrical parameters for model-based online estimators. The presented technique has the capability to track the SoC (State of Charge)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c85c7c223a359f72cfe959a896ecca2
https://doi.org/10.1515/hjic-2017-0010

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Investigation of the performance of direct forecasting strategy using machine learning in State-of-Charge prediction of Li-ion batteries exposed to dynamic loads

Autor: Szabolcs Kocsis Sz., Adrienn Dineva, Bence Csomós, István Vajda

Publikováno v: Journal of Energy Storage. 36:102351

On account of intense technological advances regarding Electric Vehicles, the state evaluation and prediction issues of Li-ion cells have become increasingly important for ensuring the competitiveness in terms of feasible performance and range. Albei

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b060e4a9fb5059ee8e1e4de143597648
https://doi.org/10.1016/j.est.2021.102351

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Electric energy converter development and diagnostics in mixed-signal simulation environment

Autor: Bence Csomós, Gabor Kohlrusz, Denes Fodor, Krisztian Enisz

Publikováno v: ACTA IMEKO. 7:20

In this work the input and output capacitors of a digitally controlled Buck converter have been tested in 4 different cases with unused and worn out capacitors. The information extracted from interactions between the subsystems of an electric energy

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::59d7706a095ec50f8df26d7ba7c8379b
https://doi.org/10.21014/acta_imeko.v7i1.512

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