Pregled bibliografske jedinice broj: 1201519
Extraction of Distribution Function of Relaxation Times by using Levenberg-Marquardt Algorithm: A New Approach to Apply a Discretization Error Free Jacobian Matrix
Extraction of Distribution Function of Relaxation Times by using Levenberg-Marquardt Algorithm: A New Approach to Apply a Discretization Error Free Jacobian Matrix // Journal of the Electrochemical Society, 169 (2022), 3; 030508, 12 doi:10.1149/1945-7111/ac55c9 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1201519 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Extraction of Distribution Function of Relaxation
Times by using Levenberg-Marquardt Algorithm: A
New Approach to Apply a Discretization Error Free
Jacobian Matrix
Autori
Žic, Mark ; Vlašić, Luka ; Subotić, V. ; Pereverzyev, S. ; Fajfar, I. ; Kunaver, M.
Izvornik
Journal of the Electrochemical Society (0013-4651) 169
(2022), 3;
030508, 12
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
EIS ; DRT ; Levenberg-Marquardt
Sažetak
Nowadays, Electrochemical Impedance Spectroscopy is attracting more attention due to an increasing production of power sources. One of highly popular tools to diagnose diverse power sources is Distribution Function of Relaxation Times (DRT). Because of that, there are numerous approaches to extract DRT from impedance data. The majority of them are based on the numerical approximation of integral. However, herein we have applied an analytical approximation of the EIS integral. For the first time, we have employed Levenberg- Marquardt algorithm (LMA) to extract the applicable DRT from impedance data by using the Jacobian matrix that was obtained without any discretization errors. Although LMA was previously used to fit EIS data by DRT characteristics, the DRT profile was not applicable due to discretization errors. In this work, LMA was applied as it has an automatic update of the regularization (λ) parameter. The tests conducted in this work have shown that LMA is capable of extracting DRT from ZARC and FRAC synthetic data.
Izvorni jezik
Engleski
Znanstvena područja
Kemija, Biotehnologija
POVEZANOST RADA
Ustanove:
Institut "Ruđer Bošković", Zagreb,
Fakultet kemijskog inženjerstva i tehnologije, Zagreb
Profili:
Mark Žic
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus