In this brief, an adaptive state of charge (SOC) estimation strategy is proposed for lithium-ion batteries. The proposed methodology makes use of adaptive control theory to track online parameter variation. The convergence and stability of the proposed estimator are guaranteed by Lyapunov's direct method as opposed to many existing procedures. Since temperature variations introduce a drift in the battery's parameters, a compensation methodology is also proposed to cope with this effect. Therefore, robustness to both parameter and temperature variations is obtained, which yields precise SOC estimation. The proposed estimation scheme is validated through a set of experiments under different currents and temperatures. The experimental results reveal high performance in determining the SOC with high accuracy.

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Journal IEEE Transactions on Control Systems Technology
Chaoui, H, & Gualous, H. (Hamid). (2017). Adaptive State of Charge Estimation of Lithium-Ion Batteries With Parameter and Thermal Uncertainties. IEEE Transactions on Control Systems Technology, 25(2), 752–759. doi:10.1109/TCST.2016.2572362