An exact solution for rest-period voltage relaxation in Li-ion batteries for applications on battery management systems

Rest-period voltage relaxation in lithium-ion batteries is a non-invasive means to probe the battery's state of charge (SOC) and health without service interruption. However, to apply voltage relaxation as a reliable method for state estimation, an accurate on-board model is needed. The shape of the voltage relaxation depends on a multitude of factors, including the diffusivity and the initial Li concentration profile. By invoking the spherical-diffusion equation for an electrode particle, we solve it for the rest period with homogeneous boundary conditions of no flux at the center and surface. This leads to an analytical expression for the spatiotemporal evolution of Li concentration and, consequently, the SOC during the rest period. The solution is suitable for implementation on battery management systems as it calculates the equilibrium and the transient spatiotemporal profiles of SOC efficiently. The validation of the model predictions against the electrochemical-thermal model-generated data showed >95% accuracy.

Authors

Institutions

Publication Details

Journal
iScience
Published
2025-10-15
DOI
https://doi.org/10.1016/j.isci.2025.113769
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

An exact solution for rest-period voltage relaxation in Li-ion batteries for applications on battery management systems

Shashishekar P. Adiga, Sagar Bharathraj, K. Subramanya Mayya
iScience
Advanced Battery Technologies Research
article

An exact solution for rest-period voltage relaxation in Li-ion batteries for applications on battery management systems

Shashishekar P. Adiga, Sagar Bharathraj, K. Subramanya Mayya
article en

Abstract

Rest-period voltage relaxation in lithium-ion batteries is a non-invasive means to probe the battery's state of charge (SOC) and health without service interruption. However, to apply voltage relaxation as a reliable method for state estimation, an accurate on-board model is needed. The shape of the voltage relaxation depends on a multitude of factors, including the diffusivity and the initial Li concentration profile. By invoking the spherical-diffusion equation for an electrode particle, we solve it for the rest period with homogeneous boundary conditions of no flux at the center and surface. This leads to an analytical expression for the spatiotemporal evolution of Li concentration and, consequently, the SOC during the rest period. The solution is suitable for implementation on battery management systems as it calculates the equilibrium and the transient spatiotemporal profiles of SOC efficiently. The validation of the model predictions against the electrochemical-thermal model-generated data showed >95% accuracy.

iScienceVol. 28(11)
Samsung (India) (IN)
Openalex Percentile: Top 68%
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.

An exact solution for rest-period voltage relaxation in Li-ion batteries for applications on battery management systems — Shashishekar P. Adiga, Sagar Bharathraj, et al. · iScience (2025) | TGRS Research Map | TGRS