Design Criteria for Super-Capacitor Modules for Hybrid Energy Storage in Real-World Robot Applications: A Data-Driven Approach

Super-Capacitor (SC) modules are crucial in Hybrid Energy Storage Systems (HESS) designed for robotics. This paper details their implementation, with a significant emphasis on the synergy between SCs and batteries to address demanding power requirements. It focuses on SC aging resulting from high temperatures. A systematic approach to voltage selection, encompassing optimal operating parameters, durability projections, and energy efficiency is presented. The equilibrium between power demands and SC capacities is achieved through considerations of intermediate voltage, energy fluctuations, and filtering techniques. The significance of module capacitance is highlighted, employing data-driven techniques to select optimal cell capacitance across various scenarios. In summary, this data-driven approach seamlessly integrates theory, empirical measurements, and meticulous design, effectively engineering SC modules within HESS for cutting-edge robotic applications.