Automatic Identification Algorithm of Equivalent Electrochemical Circuit Based on Electroscopic Impedance Data for a Lead Acid Battery
dc.contributor.author | Olarte, Javier | |
dc.contributor.author | Martínez de Ilarduya Martínez de San Vicente, Jaione | |
dc.contributor.author | Zulueta Guerrero, Ekaitz | |
dc.contributor.author | Ferret, Raquel | |
dc.contributor.author | Fernández Gámiz, Unai | |
dc.contributor.author | López Guede, José Manuel ![]() | |
dc.date.accessioned | 2021-06-18T12:33:08Z | |
dc.date.available | 2021-06-18T12:33:08Z | |
dc.date.issued | 2021-06-06 | |
dc.identifier.citation | Electronics 10(11) : (2021) // Article ID 1353 | es_ES |
dc.identifier.issn | 2079-9292 | |
dc.identifier.uri | http://hdl.handle.net/10810/51936 | |
dc.description.abstract | Obtaining tools to analyze and predict the performance of batteries is a non-trivial challenge because it involves non-destructive evaluation procedures. At the research level, the development of sensors to allow cell-level monitoring is an innovative path, and electrochemical impedance spectrometry (EIS) has been identified as one of the most promising tools, as is the generation of advanced multivariable models that integrate environmental and internal-battery information. In this article, we describe an algorithm that automatically identifies a battery-equivalent electrochemical model based on electroscopic impedance data. This algorithm allows in operando monitoring of variations in the equivalent circuit parameters that will be used to further estimate variations in the state of health (SoH) and state of charge (SoC) of the battery based on a correlation with experimental aging data corresponding to states of failure or degradation. In the current work, the authors propose a two-step parameter identification algorithm. The first consists of a rough differential evolution algorithm-based identification. The second is based on the Nelder–Mead Simplex search method, which gives a fine parameter estimation. These algorithm results were compared with those of the commercially available Z-view, an equivalent circuit tool estimation that requires expert human input. | es_ES |
dc.description.sponsorship | Special thanks should also be expressed for the Torres Quevedo (PTQ) 2019 Aid from the State Research Agency, within the framework of the State Program for the Promotion of Talent and its Employability in R + D + i, Ref. PTQ2019-010787 /AEI/10.13039/501100011033. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | |
dc.subject | automatic identification | es_ES |
dc.subject | electrochemical model | es_ES |
dc.subject | electrochemical impedance spectrometry (EIS) | es_ES |
dc.subject | electric equivalent circuit (EEC) | es_ES |
dc.subject | lead acid batteries | es_ES |
dc.title | Automatic Identification Algorithm of Equivalent Electrochemical Circuit Based on Electroscopic Impedance Data for a Lead Acid Battery | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.date.updated | 2021-06-10T13:46:36Z | |
dc.rights.holder | 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | es_ES |
dc.relation.publisherversion | https://www.mdpi.com/2079-9292/10/11/1353/htm | es_ES |
dc.identifier.doi | 10.3390/electronics10111353 | |
dc.departamentoes | Ingeniería de sistemas y automática | |
dc.departamentoes | Ingeniería nuclear y mecánica de fluidos | |
dc.departamentoeu | Sistemen ingeniaritza eta automatika | |
dc.departamentoeu | Ingeniaritza nuklearra eta jariakinen mekanika |
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Except where otherwise noted, this item's license is described as 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).