This paper presents an adaptive integral sliding mode control (SMC) scheme for a multi-input multi-output (MIMO) hybrid energy storage system (HESS) which can be used in electric vehicles. In HESS, the battery acts as the main energy storage device, which is connected with a boost converter, and the supercapacitor acts as the auxiliary energy system, which is connected with a bi-directional DC-DC converter. The two converters share the same DC link for power exchange. Based on the two energy storage devices and connected converters, the global mathematic model of HESS is obtained. In the design process of the proposed control scheme, the adaptive estimation technique considering the unknown parameters of battery/supercapacitor hybrid system model is utilized. Moreover, with the combination of the projection algorithm, the parameters estimation function can be bounded. The Lyapunov based stability analysis of the whole battery/ supercapacitor HESS is given to prove the convergence of the proposed adaptive integral SMC method. Finally, the effectiveness of the proposed method with a fast transient behavior is verified through the simulation test.
SHU et al. (Thu,) studied this question.