Combined battery SOC/SOH estimation using a nonlinear adaptive observer

Mohamad El Lakkis (1) , Olivier Sename (2) , M Corno (3) , Delphine Bresch-Pietri (2)

1 UGA [2016-2019] - Université Grenoble Alpes [2016-2019]
2 GIPSA-SLR - GIPSA - Systèmes linéaires et robustesse
3 Dipartimento di Elettronica e Informazione

— 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.

Domaines: Systèmes et contrôle [cs.SY]

Mohamad El Lakkis, Olivier Sename, M Corno, Delphine Bresch-Pietri. Combined battery SOC/SOH estimation using a nonlinear adaptive observer. ECC 2015 - 14th European Control Conference, Jul 2015, Linz, Austria. ⟨hal-01179966⟩