Title :
Combined battery SOC/SOH estimation using a nonlinear adaptive observer
Author :
M. El Lakkis;O. Sename;M. Corno;D. Bresch Pietri
Author_Institution :
GIPSAlab UMR CNRS 5216, Control Systems Department, Universit Grenoble Alpes, 11 rue des Mathmatiques, F-38402 St Martin d´Hè
fDate :
7/1/2015 12:00:00 AM
Abstract :
This work presents a modeling and estimation techniques for State of Charge and State of Health estimation for Li-ion batteries. The analysis is done using an adaptive estimation approach for joint state and parameter estimation and by simplifying an existing nonlinear model previously obtained from experiments tests. A switching mechanism between two observers, one for the charging phase and one for the discharging phase, is done to avoid transients due to the discontinuity of model´s parameters. Simulations on experimental data show that the approach is feasible and enhance the interest of the proposed estimation technique.
Keywords :
"Batteries","Mathematical model","Observers","Resistance","Integrated circuit modeling","Computational modeling","Adaptation models"
Conference_Titel :
Control Conference (ECC), 2015 European
DOI :
10.1109/ECC.2015.7330754