Efficient analysis techniques for complex switched-capacitor (SC) converters are essential design tools for the development of practical SC converters. Techniques that use state-space equations based on conventional circuit analysis methods have proven effective in modeling the practical performance of SC converters. Iterative methods of design based on these analysis techniques require the formulation of many Kirchhoff voltage and current equations, which is time consuming if derived manually. Here, an algorithm is introduced to automate the creating of the matrices required for state-space-based modeling of SC converters. The state equations are generated algorithmically, given a standard node incidence matrix generated from a user-defined netlist. The algorithm enables a designer to quickly iterate SC converter design solutions based on their predicted performance. The resulting models are compared against manually generated models, simulations, and experimental results.