Electric batteries, Vol. 8, Pages 39: An Incremental Capacity Parametric Model Based on Logistic Equations for Battery Condition Estimation and Monitoring
Batteries doi: 10. 3390/batteries8050039
Authors: Matthieu Maures Romain Mathieu Armande Capitaine Jean-Yves Delétage Jean-Michel Vinassa Olivier Briat
An incremental capability parametric model for electric batteries is proposed. The design is based on Verhulst& amp; rsquo; s logistic equations and distributions in order to describe incremental capacity highs. The model performance is normally compared with polynomial versions and it is demonstrated on the commercial lithium-ion cell. Trial and error data features low-current discharges performed at temperatures ranging from & amp; minus; 20 & amp; deg; C to 55 & amp; deg; C. The results demonstrate several benefits of the model compared in order to empirical models. The proposed model enables a clear description of the geometric features of incremental capacity peaks. It also doubles being an open circuit voltage model as the voltage curve could be fully recovered from parameterization on incremental capability curves. The study associated with temperature sensitivity show that peak geometric parameters may be modelled as being a functionality of temperature. An example of useful application is then displayed by using the design to estimate battery state-of-charge from voltage and temperature measurements. This example can expand to other practical apps for battery management techniques such as state-of-health checking.