000109366 001__ 109366
000109366 005__ 20230519145425.0
000109366 0247_ $$2doi$$a10.3390/en14227496
000109366 0248_ $$2sideral$$a125419
000109366 037__ $$aART-2021-125419
000109366 041__ $$aeng
000109366 100__ $$0(orcid)0000-0003-0198-5094$$aSanz-Gorrachategui, Iván$$uUniversidad de Zaragoza
000109366 245__ $$aLithium-Ion Battery Parameter Identification via Extremum Seeking Considering Aging and Degradation
000109366 260__ $$c2021
000109366 5060_ $$aAccess copy available to the general public$$fUnrestricted
000109366 5203_ $$aBattery 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.
000109366 536__ $$9info:eu-repo/grantAgreement/ES/DGA-FEDER/RIS3-LMP16-18
000109366 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000109366 590__ $$a3.252$$b2021
000109366 592__ $$a0.653$$b2021
000109366 594__ $$a5.0$$b2021
000109366 591__ $$aENERGY & FUELS$$b80 / 119 = 0.672$$c2021$$dQ3$$eT3
000109366 593__ $$aEnergy (miscellaneous)$$c2021$$dQ1
000109366 593__ $$aEnergy Engineering and Power Technology$$c2021$$dQ1
000109366 593__ $$aFuel Technology$$c2021$$dQ1
000109366 593__ $$aControl and Optimization$$c2021$$dQ1
000109366 593__ $$aEngineering (miscellaneous)$$c2021$$dQ1
000109366 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000109366 700__ $$0(orcid)0000-0002-7897-3596$$aPastor-Flores, Pablo
000109366 700__ $$0(orcid)0000-0001-5664-7063$$aBono-Nuez, Antonio$$uUniversidad de Zaragoza
000109366 700__ $$aFerrer-Sánchez, Cora
000109366 700__ $$aGuillén-Asensio, Alejandro$$uUniversidad de Zaragoza
000109366 700__ $$0(orcid)0000-0001-9334-4870$$aBernal-Ruiz, Carlos$$uUniversidad de Zaragoza
000109366 7102_ $$15008$$2785$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Tecnología Electrónica
000109366 773__ $$g14, 22 (2021), 7496$$pENERGIES$$tEnergies$$x1996-1073
000109366 8564_ $$s1096018$$uhttps://zaguan.unizar.es/record/109366/files/texto_completo.pdf$$yVersión publicada
000109366 8564_ $$s2782056$$uhttps://zaguan.unizar.es/record/109366/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000109366 909CO $$ooai:zaguan.unizar.es:109366$$particulos$$pdriver
000109366 951__ $$a2023-05-18-14:11:13
000109366 980__ $$aARTICLE