In this paper, we introduce an adaptive state of charge (SOC) estimator for batteries. The adaptive strategy consists of online parameters estimation. A Lyapunov-based stability analysis is presented for the proposed estimation technique. Unlike other estimation strategies, only battery terminal voltage and current measurements are required. A computer simulation highlights the performance of the proposed estimator in determining the SOC with high accuracy.

Additional Metadata
Persistent URL dx.doi.org/10.1109/AIM.2010.5695870
Conference 2010 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2010
Citation
Chaoui, H, Sicard, P. (Pierre), & Nanga Ndjana, H.J. (Hervé Joël). (2010). Adaptive state of charge (SOC) estimation for batteries with parametric uncertainties. In IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM (pp. 703–707). doi:10.1109/AIM.2010.5695870