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Lithium Battery SOH Monitoring and an SOC Estimation Algorithm Based on the SOH Result
Article

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

Electric and Communications Department, University of Zaragoza, 50018 Zaragoza, Spain
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Academic Editor: Domenico Di Domenico
Energies 2021, 14(22), 7496; https://doi.org/10.3390/en14227496
Received: 18 October 2021 / Revised: 3 November 2021 / Accepted: 8 November 2021 / Published: 10 November 2021
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. View Full-Text
Keywords: Li-ion battery; extremum seeking; parameter tracking; SoC; SoH; battery aging; ECM Li-ion battery; extremum seeking; parameter tracking; SoC; SoH; battery aging; ECM
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MDPI and ACS Style

Sanz-Gorrachategui, I.; Pastor-Flores, P.; Bono-Nuez, A.; Ferrer-Sánchez, C.; Guillén-Asensio, A.; Bernal-Ruiz, C. Lithium-Ion Battery Parameter Identification via Extremum Seeking Considering Aging and Degradation. Energies 2021, 14, 7496. https://doi.org/10.3390/en14227496

AMA Style

Sanz-Gorrachategui I, Pastor-Flores P, Bono-Nuez A, Ferrer-Sánchez C, Guillén-Asensio A, Bernal-Ruiz C. Lithium-Ion Battery Parameter Identification via Extremum Seeking Considering Aging and Degradation. Energies. 2021; 14(22):7496. https://doi.org/10.3390/en14227496

Chicago/Turabian Style

Sanz-Gorrachategui, Iván, Pablo Pastor-Flores, Antonio Bono-Nuez, Cora Ferrer-Sánchez, Alejandro Guillén-Asensio, and Carlos Bernal-Ruiz. 2021. "Lithium-Ion Battery Parameter Identification via Extremum Seeking Considering Aging and Degradation" Energies 14, no. 22: 7496. https://doi.org/10.3390/en14227496

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