Online parameter and state estimation of lithium-ion batteries under temperature effects
In this paper, a hybrid estimation technique is proposed for lithium-ion batteries. This strategy makes use of state-space observer theory to reduce the complexity of the design and the stability analysis. However, the battery's parameters knowledge is required for the state-space model, which limits the performance as the battery's parameters vary. Therefore, an online parameter identification strategy is proposed to track the parameters deviation. The stability of the closed-loop estimation scheme is guaranteed by Lyapunov's direct method. Unlike other estimation techniques where temperature effects are ignored, this paper proposes a universal compensation strategy which can be used with many estimation algorithms available in the literature. The performance of the proposed scheme is validated through a set of experiments under different currents and temperatures along with comparison against an adaptive observer.
|Keywords||Lithium-ion batteries, Lyapunov stability, Parameter estimation, State-space observer, Temperature uncertainties|
|Journal||Electric Power Systems Research|
Chaoui, H, & Gualous, H. (Hamid). (2017). Online parameter and state estimation of lithium-ion batteries under temperature effects. Electric Power Systems Research, 145, 73–82. doi:10.1016/j.epsr.2016.12.029