A Deterioration Diagnosis Circuit of a Lithium-Ion Battery Using Microcomputer Implementing Z-Transform Convolution

The deterioration of lithium-ion batteries has been detected by an increase in the battery impedance by means of an alternating current method or a battery capacity test. These methods require an interruption of the operation because the battery has to be removed. A method estimating equivalent circ...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Naoyuki Yoshioka, Naoto Nagaoka
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
T
Acceso en línea:https://doaj.org/article/a1d3b79096a449499a8c9861a5b92e26
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:a1d3b79096a449499a8c9861a5b92e26
record_format dspace
spelling oai:doaj.org-article:a1d3b79096a449499a8c9861a5b92e262021-11-11T15:43:22ZA Deterioration Diagnosis Circuit of a Lithium-Ion Battery Using Microcomputer Implementing Z-Transform Convolution10.3390/en142168681996-1073https://doaj.org/article/a1d3b79096a449499a8c9861a5b92e262021-10-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/6868https://doaj.org/toc/1996-1073The deterioration of lithium-ion batteries has been detected by an increase in the battery impedance by means of an alternating current method or a battery capacity test. These methods require an interruption of the operation because the battery has to be removed. A method estimating equivalent circuit parameters of a lithium-ion battery during operation is proposed in this article. The increase in the internal impedance has a close relation to the deterioration of the battery. The circuit is expressed by a resister and an <i>RC</i> parallel circuit connected in series. The parameters can be estimated by applying a convolution technique to the voltage and current fluctuation of the battery during operation. A diagnosis circuit using a microcomputer is developed using a simple algorithm employing <i>z</i>-transformation in the parameter estimation. The estimated parameters depend on its state of charge (SOC) and ambient temperature. The SOC dependency is solved by estimating timing, and the temperature dependency is corrected by a function derived in this article. The deterioration diagnosis of the battery can be applied to a solar power generation system, and the feasibility is discussed in this article.Naoyuki YoshiokaNaoto NagaokaMDPI AGarticlelithium-ion batteryequivalent circuit parametersconvolution<i>z</i>-transformationstate of charge (SOC)deterioration diagnosisTechnologyTENEnergies, Vol 14, Iss 6868, p 6868 (2021)
institution DOAJ
collection DOAJ
language EN
topic lithium-ion battery
equivalent circuit parameters
convolution
<i>z</i>-transformation
state of charge (SOC)
deterioration diagnosis
Technology
T
spellingShingle lithium-ion battery
equivalent circuit parameters
convolution
<i>z</i>-transformation
state of charge (SOC)
deterioration diagnosis
Technology
T
Naoyuki Yoshioka
Naoto Nagaoka
A Deterioration Diagnosis Circuit of a Lithium-Ion Battery Using Microcomputer Implementing Z-Transform Convolution
description The deterioration of lithium-ion batteries has been detected by an increase in the battery impedance by means of an alternating current method or a battery capacity test. These methods require an interruption of the operation because the battery has to be removed. A method estimating equivalent circuit parameters of a lithium-ion battery during operation is proposed in this article. The increase in the internal impedance has a close relation to the deterioration of the battery. The circuit is expressed by a resister and an <i>RC</i> parallel circuit connected in series. The parameters can be estimated by applying a convolution technique to the voltage and current fluctuation of the battery during operation. A diagnosis circuit using a microcomputer is developed using a simple algorithm employing <i>z</i>-transformation in the parameter estimation. The estimated parameters depend on its state of charge (SOC) and ambient temperature. The SOC dependency is solved by estimating timing, and the temperature dependency is corrected by a function derived in this article. The deterioration diagnosis of the battery can be applied to a solar power generation system, and the feasibility is discussed in this article.
format article
author Naoyuki Yoshioka
Naoto Nagaoka
author_facet Naoyuki Yoshioka
Naoto Nagaoka
author_sort Naoyuki Yoshioka
title A Deterioration Diagnosis Circuit of a Lithium-Ion Battery Using Microcomputer Implementing Z-Transform Convolution
title_short A Deterioration Diagnosis Circuit of a Lithium-Ion Battery Using Microcomputer Implementing Z-Transform Convolution
title_full A Deterioration Diagnosis Circuit of a Lithium-Ion Battery Using Microcomputer Implementing Z-Transform Convolution
title_fullStr A Deterioration Diagnosis Circuit of a Lithium-Ion Battery Using Microcomputer Implementing Z-Transform Convolution
title_full_unstemmed A Deterioration Diagnosis Circuit of a Lithium-Ion Battery Using Microcomputer Implementing Z-Transform Convolution
title_sort deterioration diagnosis circuit of a lithium-ion battery using microcomputer implementing z-transform convolution
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/a1d3b79096a449499a8c9861a5b92e26
work_keys_str_mv AT naoyukiyoshioka adeteriorationdiagnosiscircuitofalithiumionbatteryusingmicrocomputerimplementingztransformconvolution
AT naotonagaoka adeteriorationdiagnosiscircuitofalithiumionbatteryusingmicrocomputerimplementingztransformconvolution
AT naoyukiyoshioka deteriorationdiagnosiscircuitofalithiumionbatteryusingmicrocomputerimplementingztransformconvolution
AT naotonagaoka deteriorationdiagnosiscircuitofalithiumionbatteryusingmicrocomputerimplementingztransformconvolution
_version_ 1718434106074726400