In the realm of wound cell quality control, tab alignment accuracy stands as a paramount yet intricate factor influencing multiple stages of the production process. To address the challenges associated with the alignment accuracy of multiple tabs in cells, this paper introduces a tab position model coupled with an edge closed-loop control algorithm. This approach facilitates the detection, correction, and control of various parameters impacting alignment accuracy, thus providing a theoretical foundation for enhancing existing control technologies and ensuring precise control over tab alignment. Furthermore, the tab position model elucidates the effects of diverse parameters on tab positioning and the manifestation of tab misalignment. This enables research and development personnel to gauge the impact of these parameters on misalignment and devise corrective strategies articulated through control methodologies. The synergy of simulation analysis and empirical control evaluations underscores the control method's adaptability in refining tab positioning, with the model accurately depicting the tab's positional dynamics. Additionally, this study delves into a logical framework for realizing a comprehensive closed-loop system in intelligent winding, aiming to optimize the control loop throughout the winding process. The insights gleaned hold substantial relevance for achieving a quality-centric closed-loop in winding operations, thereby enhancing battery performance and production efficiency.
power batterytabs misalignmentintelligent windingedge closed-loopoverall closed-loop
万方数据
维普
