The growing integration of renewable energy sources and electric vehicles (EVs) into the grid has increased the importance of energy storage systems (ESS). As many different types of ESS presently exist, the theory of Ragone plots can aid in evaluating the energy-power relationship of these storage devices. Until now, much of the research has focused on analytical models of ideal batteries or experimental data from batteries to develop Ragone plots. However, there are often discrepancies between Ragone plots created from analytical studies and actual experimental data. A research gap exists in developing analytical models for batteries where studies often neglect two factors: (1) actual operational constraints like temperature, voltage, and current limits, and (2) aging characteristics. The research presented here aims to bridge this gap by implementing a practical Ragone plot method through analytical studies with measured constraints. In addition, this model incorporates aging characteristics to determine the trajectory of the Ragone plot as the cell ages. Through this inclusive approach, we aim to bridge the gap between analytical models and the operational reality of battery performance assessment.