An Empirical Model for State of Charge Estimation Based on Electrochemical Impedance Spectroscopy

Electrochemical Impedance Spectroscopy (EIS) is an accurate method used to study the internal properties of lithium-ion (Li-ion) battery cells. It is important to accurately estimate the State of Charge (SoC) of Li-ion battery cells for safety and longevity considerations. There are several methods to estimate the SoC; however, accurate methods require a lot of computational resources and increase the system complexity. This paper proposes an EIS-based experimental method for SoC estimation based on calculating the area under the EIS magnitude vs. frequency curve and correlating the result with SoC. The results demonstrate a relationship between the EIS magnitude and the SoCs within a certain range and under specific conditions. Furthermore, the suggested method reduces the errors and eliminates the need for fitting the EIS impedance spectrum for SoC estimation.

Authors

Institutions

Publication Details

Published
2024-11-26
DOI
https://doi.org/10.1109/esars-itec60450.2024.10819895
Citations
3
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
0.98

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Empirical Model for State of Charge Estimation Based on Electrochemical Impedance Spectroscopy

Farhan Farooq, R. Heer, Silvester Sabathiel, Khaled Z. Ibrahim et al.
3 citations
Fault Detection and Control Systems
0.98
article

An Empirical Model for State of Charge Estimation Based on Electrochemical Impedance Spectroscopy

Farhan Farooq, R. Heer, Silvester Sabathiel, Khaled Z. Ibrahim, Alexander Bergmann, Günter Hofer
article en
3 citations

Abstract

Electrochemical Impedance Spectroscopy (EIS) is an accurate method used to study the internal properties of lithium-ion (Li-ion) battery cells. It is important to accurately estimate the State of Charge (SoC) of Li-ion battery cells for safety and longevity considerations. There are several methods to estimate the SoC; however, accurate methods require a lot of computational resources and increase the system complexity. This paper proposes an EIS-based experimental method for SoC estimation based on calculating the area under the EIS magnitude vs. frequency curve and correlating the result with SoC. The results demonstrate a relationship between the EIS magnitude and the SoCs within a certain range and under specific conditions. Furthermore, the suggested method reduces the errors and eliminates the need for fitting the EIS impedance spectrum for SoC estimation.

Graz University of Technology (AT), Silicon Austria Labs (Austria) (AT), Infineon Technologies (Austria) (AT)
Österreichische Forschungsförderungsgesellschaft
Openalex Percentile: Top 22%
Fault Detection and Control Systems
0.98
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.