Fully Distributed Adaptive Resilient Control of Networked Heterogeneous Battery Systems With Unknown Parameters

Abstract

We investigate the distributed state-of-charge (SoC) balancing control problem of networked heterogeneous battery systems with unknown battery parameters in the presence of actuator attacks. Existing distributed SoC balancing control algorithms often rely on assumptions such as having homogeneous or known battery parameters, operating under undirected communication topologies and knowing global information of the communication topology, and lack resilience against actuator attacks. In this article, we aim to relax these assumptions by developing a fully distributed adaptive resilient control algorithm for each battery unit. It is shown that under a strongly connected directed communication topology, the control objectives of SoC balancing and proportional power sharing are achieved among battery units with heterogeneous and unknown battery parameters without using any global information, even in the presence of actuator attacks. Through simulation results in MATLAB/Simulink, we validate the effectiveness of the proposed control algorithm in discharging or charging mode and highlight its superiority in enhancing resilience against actuator attacks.