Lithium-Ion Battery Parameter Identification via Extremum Seeking Considering Aging and Degradation

Battery parameters such as State of Charge (SoC) and State of Health (SoH) are key to modern applications; thus, there is interest in developing robust algorithms for estimating them. Most of the techniques explored to this end rely on a battery model. As batteries age, their behavior starts differi...

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Autores principales:	Iván Sanz-Gorrachategui, Pablo Pastor-Flores, Antonio Bono-Nuez, Cora Ferrer-Sánchez, Alejandro Guillén-Asensio, Carlos Bernal-Ruiz
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	Li-ion battery extremum seeking parameter tracking SoC SoH battery aging Technology T
Acceso en línea:	https://doaj.org/article/53c4bdf191ac443282b42706c21d326b
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spelling	oai:doaj.org-article:53c4bdf191ac443282b42706c21d326b2021-11-25T17:26:03ZLithium-Ion Battery Parameter Identification via Extremum Seeking Considering Aging and Degradation10.3390/en142274961996-1073https://doaj.org/article/53c4bdf191ac443282b42706c21d326b2021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/22/7496https://doaj.org/toc/1996-1073Battery parameters such as State of Charge (SoC) and State of Health (SoH) are key to modern applications; thus, there is interest in developing robust algorithms for estimating them. Most of the techniques explored to this end rely on a battery model. As batteries age, their behavior starts differing from the models, so it is vital to update such models in order to be able to track battery behavior after some time in application. This paper presents a method for performing online battery parameter tracking by using the Extremum Seeking (ES) algorithm. This algorithm fits voltage waveforms by tuning the internal parameters of an estimation model and comparing the voltage output with the real battery. The goal is to estimate the electrical parameters of the battery model and to be able to obtain them even as batteries age, when the model behaves different than the cell. To this end, a simple battery model capable of capturing degradation and different tests have been proposed to replicate real application scenarios, and the performance of the ES algorithm in such scenarios has been measured. The results are positive, obtaining converging estimations both with new and aged batteries, with accurate outputs for the intended purpose.Iván Sanz-GorrachateguiPablo Pastor-FloresAntonio Bono-NuezCora Ferrer-SánchezAlejandro Guillén-AsensioCarlos Bernal-RuizMDPI AGarticleLi-ion batteryextremum seekingparameter trackingSoCSoHbattery agingTechnologyTENEnergies, Vol 14, Iss 7496, p 7496 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Li-ion battery extremum seeking parameter tracking SoC SoH battery aging Technology T
spellingShingle	Li-ion battery extremum seeking parameter tracking SoC SoH battery aging Technology T Iván Sanz-Gorrachategui Pablo Pastor-Flores Antonio Bono-Nuez Cora Ferrer-Sánchez Alejandro Guillén-Asensio Carlos Bernal-Ruiz Lithium-Ion Battery Parameter Identification via Extremum Seeking Considering Aging and Degradation
description	Battery parameters such as State of Charge (SoC) and State of Health (SoH) are key to modern applications; thus, there is interest in developing robust algorithms for estimating them. Most of the techniques explored to this end rely on a battery model. As batteries age, their behavior starts differing from the models, so it is vital to update such models in order to be able to track battery behavior after some time in application. This paper presents a method for performing online battery parameter tracking by using the Extremum Seeking (ES) algorithm. This algorithm fits voltage waveforms by tuning the internal parameters of an estimation model and comparing the voltage output with the real battery. The goal is to estimate the electrical parameters of the battery model and to be able to obtain them even as batteries age, when the model behaves different than the cell. To this end, a simple battery model capable of capturing degradation and different tests have been proposed to replicate real application scenarios, and the performance of the ES algorithm in such scenarios has been measured. The results are positive, obtaining converging estimations both with new and aged batteries, with accurate outputs for the intended purpose.
format	article
author	Iván Sanz-Gorrachategui Pablo Pastor-Flores Antonio Bono-Nuez Cora Ferrer-Sánchez Alejandro Guillén-Asensio Carlos Bernal-Ruiz
author_facet	Iván Sanz-Gorrachategui Pablo Pastor-Flores Antonio Bono-Nuez Cora Ferrer-Sánchez Alejandro Guillén-Asensio Carlos Bernal-Ruiz
author_sort	Iván Sanz-Gorrachategui
title	Lithium-Ion Battery Parameter Identification via Extremum Seeking Considering Aging and Degradation
title_short	Lithium-Ion Battery Parameter Identification via Extremum Seeking Considering Aging and Degradation
title_full	Lithium-Ion Battery Parameter Identification via Extremum Seeking Considering Aging and Degradation
title_fullStr	Lithium-Ion Battery Parameter Identification via Extremum Seeking Considering Aging and Degradation
title_full_unstemmed	Lithium-Ion Battery Parameter Identification via Extremum Seeking Considering Aging and Degradation
title_sort	lithium-ion battery parameter identification via extremum seeking considering aging and degradation
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/53c4bdf191ac443282b42706c21d326b
work_keys_str_mv	AT ivansanzgorrachategui lithiumionbatteryparameteridentificationviaextremumseekingconsideringaginganddegradation AT pablopastorflores lithiumionbatteryparameteridentificationviaextremumseekingconsideringaginganddegradation AT antoniobononuez lithiumionbatteryparameteridentificationviaextremumseekingconsideringaginganddegradation AT coraferrersanchez lithiumionbatteryparameteridentificationviaextremumseekingconsideringaginganddegradation AT alejandroguillenasensio lithiumionbatteryparameteridentificationviaextremumseekingconsideringaginganddegradation AT carlosbernalruiz lithiumionbatteryparameteridentificationviaextremumseekingconsideringaginganddegradation
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Lithium-Ion Battery Parameter Identification via Extremum Seeking Considering Aging and Degradation

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