An Analytical Model to Quickly Estimate Battery Capacity and Predict the Remaining Useful Life of Lithium-Ion Batteries
Disciplines
Power and Energy
Abstract (300 words maximum)
With the increasing demand for high energy density and high-power density lithium-ion batteries for portable electronics and electric vehicle applications, the accurate real-time estimation of battery capacity not only provides a way to predict the remaining useful life of the battery quickly but also provides an early signal for battery degradation. This work chose the battery’s internal resistance changes during each charge and discharge cycle as the evaluation parameter. The correlation between the battery’s internal resistance changes and the deliverable capacity was investigated, and a battery equivalent circuit model was established to estimate the deliverable capacity and the remaining useful life of a battery. The model was constructed and validated based on experimentally collected data from more than 100 commercial lithium-ion batteries using the current-off method during the charging/discharging cycling and the electrochemical impedance spectroscopy. The equivalent circuit model also considers the material degradation mechanism during electrochemical reactions to simplify the solution for quickly predicting the deliverable capacity for a constantly changing discharging condition. This model can also be applied to provide early signals of battery degradation and estimate battery degradation mechanisms.
Academic department under which the project should be listed
SPCEET - Electrical and Computer Engineering
Primary Investigator (PI) Name
Beibei Jiang
An Analytical Model to Quickly Estimate Battery Capacity and Predict the Remaining Useful Life of Lithium-Ion Batteries
With the increasing demand for high energy density and high-power density lithium-ion batteries for portable electronics and electric vehicle applications, the accurate real-time estimation of battery capacity not only provides a way to predict the remaining useful life of the battery quickly but also provides an early signal for battery degradation. This work chose the battery’s internal resistance changes during each charge and discharge cycle as the evaluation parameter. The correlation between the battery’s internal resistance changes and the deliverable capacity was investigated, and a battery equivalent circuit model was established to estimate the deliverable capacity and the remaining useful life of a battery. The model was constructed and validated based on experimentally collected data from more than 100 commercial lithium-ion batteries using the current-off method during the charging/discharging cycling and the electrochemical impedance spectroscopy. The equivalent circuit model also considers the material degradation mechanism during electrochemical reactions to simplify the solution for quickly predicting the deliverable capacity for a constantly changing discharging condition. This model can also be applied to provide early signals of battery degradation and estimate battery degradation mechanisms.