Jinju Song

Dr. Jinju Song


Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 June 2023 in Chemical Engineering Journal
Verified
Journal Article
Open access
SPSohyun Park
Sohyun Park
JSJinju Song
Jinju Song
WLWoo Cheol Lee
Woo Cheol Lee
SJSuhyeon Jang
Suhyeon Jang
JLJeongmi Lee
Jeongmi Lee
Kyoungseon MinKyoungseon Min
Kyoungseon Min

1 November 2021 in Electrochimica Acta
Verified
Journal Article
Closed access
SOSeung Mi Oh
Seung Mi Oh
JSJinju Song
Jinju Song
SLSoyeon Lee
Soyeon Lee
IJIl-Chan Jang
Il-Chan Jang

18 November 2019 in Energies
Verified
Journal Article
Open access
PDF file
DLDongcheul Lee
Dongcheul Lee
BKBoram Koo
Boram Koo
CSChee Burm Shin
Chee Burm Shin
SLSo-Yeon Lee
So-Yeon Lee
JSJinju Song
Jinju Song
JWJung-Je Woo
Jung-Je Woo
This paper reports a modeling methodology to predict the effect of the loss of cyclable lithium of a lithium-ion battery (LIB) cell comprised of a LiNi0.6Co0.2Mn0.2O2 cathode, natural graphite anode, and an organic electrolyte on the discharge behavior. A one-dimensional model based on a finite element method is presented to calculate the discharge behaviors of an LIB cell during galvanostatic discharge for various levels of the loss of cyclable lithium. Modeling results for the variation of the cell voltage of the LIB cell are compared with experimental measurements during galvanostatic discharge at various discharge rates for three different levels of the loss of cyclable lithium to validate the model. The calculation results obtained from the model are in good agreement with the experimental measurements. On the basis of the validated modeling approach, the effects of the loss of cyclable lithium on the discharge capacity and available discharge power of the LIB cell are estimated. The modeling results exhibit strong dependencies of the discharge behavior of an LIB cell on the discharge C-rate and the loss of cyclable lithium.

18 August 2021 in Applied Sciences
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Journal Article
Open access
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HFHana Nur Nur Fitriana
Hana Nur Nur Fitriana
JLJiye Lee
Jiye Lee
Sangmin LeeSangmin Lee
Sangmin Lee
MMMyounghoon Moon
Myounghoon Moon
YLYu Rim Lee
Yu Rim Lee
Soo Youn LeeSoo Youn Lee
Soo Youn Lee
Microbial electrosynthesis (MES) is a promising technology platform for the production of chemicals and fuels from CO2 and external conducting materials (i.e., electrodes). In this system, electroactive microorganisms, called electrotrophs, serve as biocatalysts for cathodic reaction. While several CO2-fixing microorganisms can reduce CO2 to a variety of organic compounds by utilizing electricity as reducing energy, direct extracellular electron uptake is indispensable to achieve highly energy-efficient reaction. In the work reported here, Rhodobacter sphaeroides, a CO2-fixing chemoautotroph and a potential electroactive bacterium, was adopted to perform a cathodic CO2 reduction reaction via MES. To promote direct electron uptake, the graphite felt cathode was modified with a combination of chitosan and carbodiimide compound. Robust biofilm formation promoted by amide functionality between R. sphaeroides and a graphite felt cathode showed significantly higher faradaic efficiency (98.0%) for coulomb to biomass and succinic acid production than those of the bare (34%) and chitosan-modified graphite cathode (77.8%), respectively. The results suggest that cathode modification using a chitosan/carbodiimide composite may facilitate electron utilization by improving direct contact between an electrode and R. sphaeroides.

1 January 2012 in Journal of the Electrochemical Society
Verified
Journal Article
Open access
JLJinsub Lim
Jinsub Lim
Jihyeon GimJihyeon Gim
Jihyeon Gim
JKJungwon Kang
Jungwon Kang
JSJinju Song
Jinju Song
HPHyosun Park
Hyosun Park
JKJaekook Kim
Jaekook Kim

26 September 2022 in Energies
Verified
Journal Article
Open access
PDF file
DLDongcheul Lee
Dongcheul Lee
BKByungmook Kim
Byungmook Kim
CSChee Burm Shin
Chee Burm Shin
SOSeung-Mi Oh
Seung-Mi Oh
JSJinju Song
Jinju Song
JWJung-Je Woo
Jung-Je Woo
In this study, we present a modeling approach to estimate the combined effects of cyclable lithium loss and electrolyte depletion on the capacity and discharge power fades of lithium-ion batteries (LIBs). The LIB cell based on LiNi0.6Co0.2Mn0.2O2 (NCM622) was used to model the discharge behavior in the multiple degradation modes. The discharge voltages for nine different levels of cyclable lithium loss and electrolyte depletion were measured experimentally. When there was no cyclable lithium loss, the 50% of electrolyte depletion brought about 5% reduction in discharge capacity at 0.05 C discharge rate, while it resulted in 46% reduction when it was coupled with 30% of cyclable lithium loss. The 50% of electrolyte depletion with no cyclable lithium loss caused 1% reduction in discharge power during 0.5 C discharge at the state of charge (SOC) level of 0.8, while it resulted in 13% reduction when it was coupled with 30% of cyclable lithium loss. The modeling results obtained by using the one-dimensional finite element method were compared with the experimental data. The justification of the modeling methods is demonstrated by the high degree of concordance between the predicted and experimental values. Using the validated modeling methodology, the discharge capacity and usable discharge power can be estimated effectively under various combined degradation modes of cyclable lithium loss and electrolyte depletion in the LIB cell.