Genetic algorithm for parameter optimization of supercapacitor model.

ABSTRACT: Electric energy storage systems have advanced significantly in recent years, driven by the growing expansion of renewable energy sources, the rise of electromobility, and other emerging configurations within the current electrical energy system. Among the various energy storage technologies, supercapacitors have gained considerable attention. Due to their ability to deliver large amounts of power over short periods, supercapacitors can be highly effective in hybrid storage systems, for example, enhancing overall system performance. Therefore, detailed studies on supercapacitors and their electrical circuit models have been developed with the aim of representing them as close as possible to actual physical behavior for numerous applications, such as in the context of Digital Twin (DT), an a

SUBMITTER: Menezes F 

PROVIDER: S-EPMC12270144 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature