Event-Triggered Adaptive Tracking Control of Hybrid Energy Storage Systems With Multiple Disturbances

This article proposes an event-triggered adaptive tracking control approach for hybrid energy storage systems (HESSs) in electric vehicles (EVs) to ensure the stability of output voltage and improve the control effect. The proposed approach enables the lithium-ion battery (LiB) to stably supply power to vehicle loads and the supercapacitor (SC) to provide instantaneous peak power under acceleration. Specifically, Brunovsky’s canonical form of the HESS is established by feedback linearization. Aiming at handling the electrical parameter uncertainties and other external unknown disturbances, the third-order sliding-mode disturbance observer (TOSMDO) is designed to achieve lumped disturbance compensation. Then, an adaptive tracking controller is proposed to achieve error-free tracking of the voltage reference and improve dynamic response despite the existence of disturbances. To save the communication resources, an event-triggering mechanism (ETM) is developed to reduce the controller computational burden. The large signal stability of the HESS is proven based on the Lyapunov theorem. A scaled-down hardware prototype is established to validate the proposed scheme. Simulation and experimental results demonstrate the superiority of the proposed approach compared with periodic approaches.