Optimization for maximum specific energy density of a lithium-ion battery using progressive quadratic response surface method and design of experiments

Abstract The demand for high-capacity lithium-ion batteries (LIB) in electric vehicles has increased. In this study, optimization to maximize the specific energy density of a cell is conducted using the LIB electrochemical model and sequential approximate optimization (SAO). First, the design of exp...

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Autores principales: Ji-San Kim, Dong-Chan Lee, Jeong-Joo Lee, Chang-Wan Kim
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Publicado: Nature Portfolio 2020
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spelling oai:doaj.org-article:7e3593a1190042d4a804485dec338ace2021-12-02T18:48:08ZOptimization for maximum specific energy density of a lithium-ion battery using progressive quadratic response surface method and design of experiments10.1038/s41598-020-72442-42045-2322https://doaj.org/article/7e3593a1190042d4a804485dec338ace2020-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-72442-4https://doaj.org/toc/2045-2322Abstract The demand for high-capacity lithium-ion batteries (LIB) in electric vehicles has increased. In this study, optimization to maximize the specific energy density of a cell is conducted using the LIB electrochemical model and sequential approximate optimization (SAO). First, the design of experiments is performed to analyze the sensitivity of design factors important to the specific energy density, such as electrode and separator thicknesses, porosity, and particle size. Then, the design variables of the cell are optimized for maximum specific energy density using the progressive quadratic response surface method (PQRSM), which is one of the SAO techniques. As a result of optimization, the thickness ratio of the electrode was optimized and the porosity was reduced to keep the specific energy density high, while still maintaining the specific power density performance. This led to an increase in the specific energy density of 56.8% and a reduction in the polarization phenomenon of 11.5%. The specific energy density effectively improved through minimum computation despite the nonlinearity of the electrochemical model in PQRSM optimization.Ji-San KimDong-Chan LeeJeong-Joo LeeChang-Wan KimNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-11 (2020)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Ji-San Kim
Dong-Chan Lee
Jeong-Joo Lee
Chang-Wan Kim
Optimization for maximum specific energy density of a lithium-ion battery using progressive quadratic response surface method and design of experiments
description Abstract The demand for high-capacity lithium-ion batteries (LIB) in electric vehicles has increased. In this study, optimization to maximize the specific energy density of a cell is conducted using the LIB electrochemical model and sequential approximate optimization (SAO). First, the design of experiments is performed to analyze the sensitivity of design factors important to the specific energy density, such as electrode and separator thicknesses, porosity, and particle size. Then, the design variables of the cell are optimized for maximum specific energy density using the progressive quadratic response surface method (PQRSM), which is one of the SAO techniques. As a result of optimization, the thickness ratio of the electrode was optimized and the porosity was reduced to keep the specific energy density high, while still maintaining the specific power density performance. This led to an increase in the specific energy density of 56.8% and a reduction in the polarization phenomenon of 11.5%. The specific energy density effectively improved through minimum computation despite the nonlinearity of the electrochemical model in PQRSM optimization.
format article
author Ji-San Kim
Dong-Chan Lee
Jeong-Joo Lee
Chang-Wan Kim
author_facet Ji-San Kim
Dong-Chan Lee
Jeong-Joo Lee
Chang-Wan Kim
author_sort Ji-San Kim
title Optimization for maximum specific energy density of a lithium-ion battery using progressive quadratic response surface method and design of experiments
title_short Optimization for maximum specific energy density of a lithium-ion battery using progressive quadratic response surface method and design of experiments
title_full Optimization for maximum specific energy density of a lithium-ion battery using progressive quadratic response surface method and design of experiments
title_fullStr Optimization for maximum specific energy density of a lithium-ion battery using progressive quadratic response surface method and design of experiments
title_full_unstemmed Optimization for maximum specific energy density of a lithium-ion battery using progressive quadratic response surface method and design of experiments
title_sort optimization for maximum specific energy density of a lithium-ion battery using progressive quadratic response surface method and design of experiments
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/7e3593a1190042d4a804485dec338ace
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