No abstract

In this article, we propose a novel event‐triggered control (ETC) method from the control input perspective. Different from existing results in which event conditions are designed based on the variation of system states, this method designs event conditions from the control input perspective, that is, based on the control input variations. Through this method, it is shown that for nonlinear systems, the commonly used input‐to‐state stable assumption can be removed. For linear systems, this method is shown equivalent to conventional results established based on state signals. Moreover, it provides flexibility in designing different event conditions for uncertain nonlinear systems. The effectiveness of the proposed method is demonstrated through two simulation examples.

No abstract

No abstract

Optimal fast charging is an important factor in battery management systems (BMS). Traditional charging strategies for lithium-ion batteries, such as the constant current–constant voltage (CC–CV) pattern, do not take capacity aging mechanisms into account, which are not only disadvantageous in the life-time usage of the batteries, but also unsafe. In this paper, we employ the dynamic optimization (DP) method to achieve the optimal charging current curve for a lithium-ion battery by introducing limits on the intercalation-induced stresses and the solid–liquid interface film growth based on an electrochemical–thermal model. Furthermore, the backstepping technique is utilized to control the temperature to avoid overheating. This paper concentrates on solving the issue of minimizing charging time in a given target State of Charge (SoC), while limiting the capacity loss caused by intercalation-induced stresses and film formation. The results indicate that the proposed optimal charging method in this paper offers a good compromise between the charging time and battery aging.