Supercapacitor Characterization Using Universal Adaptive Stabilization and Optimization

This paper presents a simplified supercapacitor model and a universal adaptive stabilization, optimization (UAS+O) based parameter identification technique. Analytic solutions for the description of supercapacitors current, voltage, subject to cyclic voltage and current sources of varying amplitudes...
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Autor*in:	Shayok Mukhopadhyay [verfasserIn] Rached Dhaouadi [verfasserIn] Mohannad Takrouri [verfasserIn] Raveendhra Dogga [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Hysteresis loop optimization parameter identification supercapacitor universal adaptive stabilization

Übergeordnetes Werk:	In: IEEE Open Journal of the Industrial Electronics Society - IEEE, 2020, 1(2020), Seite 166-183
Übergeordnetes Werk:	volume:1 ; year:2020 ; pages:166-183

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1109/OJIES.2020.3008339

Katalog-ID:	DOAJ016126971

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spelling	10.1109/OJIES.2020.3008339 doi (DE-627)DOAJ016126971 (DE-599)DOAJ70c14f5d56ae41c89e4000468aa2d8b9 DE-627 ger DE-627 rakwb eng TK7800-8360 T55.4-60.8 Shayok Mukhopadhyay verfasserin aut Supercapacitor Characterization Using Universal Adaptive Stabilization and Optimization 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper presents a simplified supercapacitor model and a universal adaptive stabilization, optimization (UAS+O) based parameter identification technique. Analytic solutions for the description of supercapacitors current, voltage, subject to cyclic voltage and current sources of varying amplitudes and frequency, consistent with electric vehicle driving cycles, are developed. Supercapacitor I-V relationships show hysteresis, indicating simultaneous energy storage and dissipation mechanisms. A reduced equivalent circuit model is proposed to accurately represent hysteresis I-V characteristics. The proposed UAS+O based technique for estimating model parameters, is supported by mathematical proofs, simulation, and experimental results. Hysteresis loop optimization parameter identification supercapacitor universal adaptive stabilization Electronics Industrial engineering. Management engineering Rached Dhaouadi verfasserin aut Mohannad Takrouri verfasserin aut Raveendhra Dogga verfasserin aut In IEEE Open Journal of the Industrial Electronics Society IEEE, 2020 1(2020), Seite 166-183 (DE-627)1690051620 (DE-600)3008466-0 26441284 nnns volume:1 year:2020 pages:166-183 https://doi.org/10.1109/OJIES.2020.3008339 kostenfrei https://doaj.org/article/70c14f5d56ae41c89e4000468aa2d8b9 kostenfrei https://ieeexplore.ieee.org/document/9137638/ kostenfrei https://doaj.org/toc/2644-1284 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 1 2020 166-183
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allfieldsGer	10.1109/OJIES.2020.3008339 doi (DE-627)DOAJ016126971 (DE-599)DOAJ70c14f5d56ae41c89e4000468aa2d8b9 DE-627 ger DE-627 rakwb eng TK7800-8360 T55.4-60.8 Shayok Mukhopadhyay verfasserin aut Supercapacitor Characterization Using Universal Adaptive Stabilization and Optimization 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper presents a simplified supercapacitor model and a universal adaptive stabilization, optimization (UAS+O) based parameter identification technique. Analytic solutions for the description of supercapacitors current, voltage, subject to cyclic voltage and current sources of varying amplitudes and frequency, consistent with electric vehicle driving cycles, are developed. Supercapacitor I-V relationships show hysteresis, indicating simultaneous energy storage and dissipation mechanisms. A reduced equivalent circuit model is proposed to accurately represent hysteresis I-V characteristics. The proposed UAS+O based technique for estimating model parameters, is supported by mathematical proofs, simulation, and experimental results. Hysteresis loop optimization parameter identification supercapacitor universal adaptive stabilization Electronics Industrial engineering. Management engineering Rached Dhaouadi verfasserin aut Mohannad Takrouri verfasserin aut Raveendhra Dogga verfasserin aut In IEEE Open Journal of the Industrial Electronics Society IEEE, 2020 1(2020), Seite 166-183 (DE-627)1690051620 (DE-600)3008466-0 26441284 nnns volume:1 year:2020 pages:166-183 https://doi.org/10.1109/OJIES.2020.3008339 kostenfrei https://doaj.org/article/70c14f5d56ae41c89e4000468aa2d8b9 kostenfrei https://ieeexplore.ieee.org/document/9137638/ kostenfrei https://doaj.org/toc/2644-1284 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 1 2020 166-183
allfieldsSound	10.1109/OJIES.2020.3008339 doi (DE-627)DOAJ016126971 (DE-599)DOAJ70c14f5d56ae41c89e4000468aa2d8b9 DE-627 ger DE-627 rakwb eng TK7800-8360 T55.4-60.8 Shayok Mukhopadhyay verfasserin aut Supercapacitor Characterization Using Universal Adaptive Stabilization and Optimization 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper presents a simplified supercapacitor model and a universal adaptive stabilization, optimization (UAS+O) based parameter identification technique. Analytic solutions for the description of supercapacitors current, voltage, subject to cyclic voltage and current sources of varying amplitudes and frequency, consistent with electric vehicle driving cycles, are developed. Supercapacitor I-V relationships show hysteresis, indicating simultaneous energy storage and dissipation mechanisms. A reduced equivalent circuit model is proposed to accurately represent hysteresis I-V characteristics. The proposed UAS+O based technique for estimating model parameters, is supported by mathematical proofs, simulation, and experimental results. Hysteresis loop optimization parameter identification supercapacitor universal adaptive stabilization Electronics Industrial engineering. Management engineering Rached Dhaouadi verfasserin aut Mohannad Takrouri verfasserin aut Raveendhra Dogga verfasserin aut In IEEE Open Journal of the Industrial Electronics Society IEEE, 2020 1(2020), Seite 166-183 (DE-627)1690051620 (DE-600)3008466-0 26441284 nnns volume:1 year:2020 pages:166-183 https://doi.org/10.1109/OJIES.2020.3008339 kostenfrei https://doaj.org/article/70c14f5d56ae41c89e4000468aa2d8b9 kostenfrei https://ieeexplore.ieee.org/document/9137638/ kostenfrei https://doaj.org/toc/2644-1284 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 1 2020 166-183
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callnumber-first	T - Technology
author	Shayok Mukhopadhyay
spellingShingle	Shayok Mukhopadhyay misc TK7800-8360 misc T55.4-60.8 misc Hysteresis loop misc optimization misc parameter identification misc supercapacitor misc universal adaptive stabilization misc Electronics misc Industrial engineering. Management engineering Supercapacitor Characterization Using Universal Adaptive Stabilization and Optimization
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topic_title	TK7800-8360 T55.4-60.8 Supercapacitor Characterization Using Universal Adaptive Stabilization and Optimization Hysteresis loop optimization parameter identification supercapacitor universal adaptive stabilization
topic	misc TK7800-8360 misc T55.4-60.8 misc Hysteresis loop misc optimization misc parameter identification misc supercapacitor misc universal adaptive stabilization misc Electronics misc Industrial engineering. Management engineering
topic_unstemmed	misc TK7800-8360 misc T55.4-60.8 misc Hysteresis loop misc optimization misc parameter identification misc supercapacitor misc universal adaptive stabilization misc Electronics misc Industrial engineering. Management engineering
topic_browse	misc TK7800-8360 misc T55.4-60.8 misc Hysteresis loop misc optimization misc parameter identification misc supercapacitor misc universal adaptive stabilization misc Electronics misc Industrial engineering. Management engineering
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title	Supercapacitor Characterization Using Universal Adaptive Stabilization and Optimization
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title_full	Supercapacitor Characterization Using Universal Adaptive Stabilization and Optimization
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title_sort	supercapacitor characterization using universal adaptive stabilization and optimization
callnumber	TK7800-8360
title_auth	Supercapacitor Characterization Using Universal Adaptive Stabilization and Optimization
abstract	This paper presents a simplified supercapacitor model and a universal adaptive stabilization, optimization (UAS+O) based parameter identification technique. Analytic solutions for the description of supercapacitors current, voltage, subject to cyclic voltage and current sources of varying amplitudes and frequency, consistent with electric vehicle driving cycles, are developed. Supercapacitor I-V relationships show hysteresis, indicating simultaneous energy storage and dissipation mechanisms. A reduced equivalent circuit model is proposed to accurately represent hysteresis I-V characteristics. The proposed UAS+O based technique for estimating model parameters, is supported by mathematical proofs, simulation, and experimental results.
abstractGer	This paper presents a simplified supercapacitor model and a universal adaptive stabilization, optimization (UAS+O) based parameter identification technique. Analytic solutions for the description of supercapacitors current, voltage, subject to cyclic voltage and current sources of varying amplitudes and frequency, consistent with electric vehicle driving cycles, are developed. Supercapacitor I-V relationships show hysteresis, indicating simultaneous energy storage and dissipation mechanisms. A reduced equivalent circuit model is proposed to accurately represent hysteresis I-V characteristics. The proposed UAS+O based technique for estimating model parameters, is supported by mathematical proofs, simulation, and experimental results.
abstract_unstemmed	This paper presents a simplified supercapacitor model and a universal adaptive stabilization, optimization (UAS+O) based parameter identification technique. Analytic solutions for the description of supercapacitors current, voltage, subject to cyclic voltage and current sources of varying amplitudes and frequency, consistent with electric vehicle driving cycles, are developed. Supercapacitor I-V relationships show hysteresis, indicating simultaneous energy storage and dissipation mechanisms. A reduced equivalent circuit model is proposed to accurately represent hysteresis I-V characteristics. The proposed UAS+O based technique for estimating model parameters, is supported by mathematical proofs, simulation, and experimental results.
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title_short	Supercapacitor Characterization Using Universal Adaptive Stabilization and Optimization
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Supercapacitor Characterization Using Universal Adaptive Stabilization and Optimization

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