In-Depth Analysis of Multilevel Battery Systems with Multi-Channel High-Performance Data Acquisition

Modular, grid-tied battery energy storage systems are gaining increased interest in academia and industry as they offer high efficiency and voltage quality. However, they also introduce significant control and measurement complexity due to the numerous submodules, which hinders the practical evaluation of advanced control algorithms. This paper proposes a hybrid data acquisition framework combining highresolution external instrumentation with the system's embedded signal processing. The approach enables detailed performance evaluation and is used to validate a submodule selection algorithm on one of the arms of a modular multilevel converter prototype with integrated batteries.