Characteristic Analysis of Energy Storage Devices Based on Their Transfer Function

This study conducted electrical modeling and comparative analysis of the characteristics of four widely used battery types in electric vehicles and renewable energy systems: (1) lithium iron phosphate (LFP), (2) lithium nickel cobalt manganese oxide (NCM), (3) lithium nickel cobalt aluminum oxide (NCA), and (4) lead-acid batteries. Given the increasing number of recent fire and explosion incidents involving lithium-ion batteries, there is a critical need to enhance their fundamental safety. In this study, an analytical method for energy storage characterization was employed using an impedance frequency range from 1 kHz to 0.1 Hz. Furthermore, reflected wave analysis was employed to monitor internal impedance variations within the batteries. Electrical modeling was conducted using Bode plot analysis in conjunction with MATLAB software, and the energy storage performance of each battery was subsequently evaluated.

Authors

Publication Details

Journal
Journal of Power System Engineering
Published
2025-10-31
DOI
https://doi.org/10.9726/kspse.2025.29.5.015
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Characteristic Analysis of Energy Storage Devices Based on Their Transfer Function

Jin-Yong Bae, Mu-Hwan Kim
Journal of Power System Engineering
Advanced Battery Technologies Research
article

Characteristic Analysis of Energy Storage Devices Based on Their Transfer Function

Jin-Yong Bae, Mu-Hwan Kim
article en

Abstract

This study conducted electrical modeling and comparative analysis of the characteristics of four widely used battery types in electric vehicles and renewable energy systems: (1) lithium iron phosphate (LFP), (2) lithium nickel cobalt manganese oxide (NCM), (3) lithium nickel cobalt aluminum oxide (NCA), and (4) lead-acid batteries. Given the increasing number of recent fire and explosion incidents involving lithium-ion batteries, there is a critical need to enhance their fundamental safety. In this study, an analytical method for energy storage characterization was employed using an impedance frequency range from 1 kHz to 0.1 Hz. Furthermore, reflected wave analysis was employed to monitor internal impedance variations within the batteries. Electrical modeling was conducted using Bode plot analysis in conjunction with MATLAB software, and the energy storage performance of each battery was subsequently evaluated.

Journal of Power System EngineeringVol. 29(5)
Openalex Percentile: Top 64%
Advanced Battery Technologies Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Characteristic Analysis of Energy Storage Devices Based on Their Transfer Function — Jin-Yong Bae, Mu-Hwan Kim · Journal of Power System Engineering (2025) | TGRS Research Map | TGRS