Differential pulse voltammetry analytics for lithium-ion battery degradation

Highlights•An analytics approach based on pulse voltammetry is developed for lithium-ion batteries•A physics-based model is developed to capture key degradation mechanisms•Distinct degradation signatures manifest at different temperatures•Active material cracking plays a major role in the capacity fade at low temperaturesSummaryWith the growing need for lithium-ion batteries in high-power applications, an accurate estimation of battery state of health is critical for long cyclability. In this work, an analytics approach based on pulse voltammetry is presented for lithium-ion batteries. A physics-based modeling framework is developed to predict pulse voltammogram signatures for generic voltage pulses. In combination with a parameter estimation technique, this model presents an in situ diagnostic tool that captures key electrode-specific parameters with rapid accuracy. Using this approach, we quantify degradation descriptors such as the growth of the resistive layer, interfacial area evolution, and lithium-intercalation state. Pulse voltammetry signatures, obtained periodically during fast-charge cycling experiments, show distinct trends at low temperature and room temperature. Active particle cracking plays a major role in the low-temperature capacity fade of lithium-ion cells, while a combination of cracking and impedance rise is the major cause of degradation at room temperature.Graphical abstract

Authors

Institutions

Publication Details

Journal
Cell Reports Physical Science
Published
2024-08-23
DOI
https://doi.org/10.1016/j.xcrp.2024.102168
Citations
3
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.61
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Differential pulse voltammetry analytics for lithium-ion battery degradation

Venkatesh Kabra, J. Vernon Cole, Partha P. Mukherjee, Paul W. C. Northrop et al.
3 citations
Cell Reports Physical Science
Advanced Battery Technologies Research
0.61
article

Differential pulse voltammetry analytics for lithium-ion battery degradation

Venkatesh Kabra, J. Vernon Cole, Partha P. Mukherjee, Paul W. C. Northrop, Conner Fear
article en
3 citations

Abstract

Highlights•An analytics approach based on pulse voltammetry is developed for lithium-ion batteries•A physics-based model is developed to capture key degradation mechanisms•Distinct degradation signatures manifest at different temperatures•Active material cracking plays a major role in the capacity fade at low temperaturesSummaryWith the growing need for lithium-ion batteries in high-power applications, an accurate estimation of battery state of health is critical for long cyclability. In this work, an analytics approach based on pulse voltammetry is presented for lithium-ion batteries. A physics-based modeling framework is developed to predict pulse voltammogram signatures for generic voltage pulses. In combination with a parameter estimation technique, this model presents an in situ diagnostic tool that captures key electrode-specific parameters with rapid accuracy. Using this approach, we quantify degradation descriptors such as the growth of the resistive layer, interfacial area evolution, and lithium-intercalation state. Pulse voltammetry signatures, obtained periodically during fast-charge cycling experiments, show distinct trends at low temperature and room temperature. Active particle cracking plays a major role in the low-temperature capacity fade of lithium-ion cells, while a combination of cracking and impedance rise is the major cause of degradation at room temperature.Graphical abstract

Cell Reports Physical ScienceVol. 5(9)
Purdue University West Lafayette (US), CFD Research Corporation (United States) (US)
Affordable and clean energy
Openalex Percentile: Top 34%
Advanced Battery Technologies Research
0.61
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.

Differential pulse voltammetry analytics for lithium-ion battery degradation — Venkatesh Kabra, J. Vernon Cole, et al. · Cell Reports Physical Science (2024) | TGRS Research Map | TGRS