This thesis focuses on the optimization of electric motor control for battery electric vehicles (BEVs) by leveraging Direct Memory Access (DMA)-based core communications. Various procedures were studied, tested, and compared to determine the most suitable approach to meet the operating specifications of the target study. The first thesis activity involved a comprehensive examination of state-of-the-art data transfer techniques found in the scientific literature with the objective of discerning advantages and disadvantages within the context of hard real-time systems. Simultaneously, an in-depth exploration of the memory modules and communication components of the AURIX™ TriBoard TC399 was conducted, complemented by practical experimentation. The DMA constituted the main focus of the research alongside its configurations, which not only offer enhanced flexibility but also relieve the cores from the burden of data copying at the expense of an increased initial programming overhead.