MATHEMATICAL MODELING OF SOC EFFECTS ON VOLTAGE HYSTERESIS IN SILICON ANODE LITHIUM-ION CELLS

In this study, we manufacture and test three types of silicon anode-based coin cells: porous, nano, and bulk silicon. Through lithiation-delithiation battery cycling tests, we observe a capacity difference at the beginning and end of the battery cycling loop. This capacity difference is mitigated by applying a side-reaction correction technique to the exchange current density using the Tafel kinetics formula. A significant voltage gap, known as voltage hysteresis, is generated during the battery cycling of all three types of cells. To understand the underlying causes of this voltage hysteresis, we develop a physics-based mathematical model. We evaluate the impact of hydrostatic stress on the generated voltage hysteresis and find that the stress-induced voltage values are too low to significantly affect the hysteresis. Key parameters influencing this stress are identified. We then develop new sets of exchange current density equations (average, linear, and logarithmic) as functions of the state of charge (SOC). Our findings indicate that applying a logarithmic SOC-dependent exchange current density equation results in the best fit of the voltage curve to the experimental data, effectively minimizing the generated hysteresis. This study provides a deeper understanding of the mechanisms behind voltage hysteresis in silicon anode-based lithium half cells and offers strategies to control and reduce this phenomenon.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-06
DOI
https://doi.org/10.5281/zenodo.14046630
Primary Topic
Advancements in Battery Materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MATHEMATICAL MODELING OF SOC EFFECTS ON VOLTAGE HYSTERESIS IN SILICON ANODE LITHIUM-ION CELLS

Zenodo (CERN European Organization for Nuclear Research)
Advancements in Battery Materials
article

MATHEMATICAL MODELING OF SOC EFFECTS ON VOLTAGE HYSTERESIS IN SILICON ANODE LITHIUM-ION CELLS

article en

Abstract

In this study, we manufacture and test three types of silicon anode-based coin cells: porous, nano, and bulk silicon. Through lithiation-delithiation battery cycling tests, we observe a capacity difference at the beginning and end of the battery cycling loop. This capacity difference is mitigated by applying a side-reaction correction technique to the exchange current density using the Tafel kinetics formula. A significant voltage gap, known as voltage hysteresis, is generated during the battery cycling of all three types of cells. To understand the underlying causes of this voltage hysteresis, we develop a physics-based mathematical model. We evaluate the impact of hydrostatic stress on the generated voltage hysteresis and find that the stress-induced voltage values are too low to significantly affect the hysteresis. Key parameters influencing this stress are identified. We then develop new sets of exchange current density equations (average, linear, and logarithmic) as functions of the state of charge (SOC). Our findings indicate that applying a logarithmic SOC-dependent exchange current density equation results in the best fit of the voltage curve to the experimental data, effectively minimizing the generated hysteresis. This study provides a deeper understanding of the mechanisms behind voltage hysteresis in silicon anode-based lithium half cells and offers strategies to control and reduce this phenomenon.

Zenodo (CERN European Organization for Nuclear Research)
Washington State University Vancouver (US)
Openalex Percentile: Top 70%
Advancements in Battery Materials
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.