A novel no circulating current cooperative adaptive SoC balancing control for large‐scale grid‐connected electric vehicles

Abstract

Summary In this article, the state of charge (SoC) balancing problem of large‐scale electric vehicles (EVs) connected to the utility grid is addressed by designing a novel no circulating current cooperative adaptive SoC balancing control. First, considering different capacities and initial SoCs, an adaptive power distribution algorithm based on distributed dynamic consistency algorithm is blue developed to achieve the SoC balancing of large‐scale EVs connected to the utility grid. Then, considering the shortage of battery life caused by the circulating current during the long‐term charging and discharging process, an adaptive balance rate factor is designed to effectively avoid the generation of the circulating current. Then, an adaptive cooperative fuzzy terminal sliding mode controller is proposed for grid‐connected EVs to improve power tracking accuracy and enhance robustness. Considering the parameters' uncertainties and unmodeled parts of grid‐connected EVs, parameter adaptive estimation and fuzzy algorithm are used to approximate the unmodeled part. In addition, the boundedness of the adaptive estimation is guaranteed by using the projection operator. Finally, the validity and reliability of the designed control strategy are verified by simulations.

Power Limiting for Battery Manage System based on Event-triggered mechanism with stationary leaders

“…But it doesn't take into account the power limitations of the battery in real-world situations. Since the battery energy storage system may have a circulating current phenomenon during work time, which will lead to the loss of the battery and reduce the battery life, an algorithm to eliminate the circulating current is designed [2]. The containment control with an event-triggered mechanism based on state observer is studied in [3]- [4], the proof of eventtriggered condition is given, and Zeno behavior does not appear.…”