@Article{cmc.2026.082254,
AUTHOR = {Piotr Musznicki, Marek Turzyński, Lyu Guanghua, Ghulam E Mustafa Abro, Viola Gierszewska, Arsalan Muhammad Soomar, Syed Hadi Hussain Shah},
TITLE = {Differential Evolution-Based Extraction of Impedance Parameters for Wide-Band Equivalent Circuits},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {},
YEAR = {},
NUMBER = {},
PAGES = {{pages}},
URL = {http://www.techscience.com/cmc/online/detail/27827},
ISSN = {1546-2226},
ABSTRACT = {This paper presents an accurate and efficient methodology for parameter extraction in complex impedance models using Differential Evolution (DE), an evolutionary optimization technique. The proposed approach targets equivalent RLC circuit topologies and aims to match measured impedance characteristics across a wide frequency spectrum. By formulating the extraction process as a global optimization problem, DE enables precise identification of component values, even for high-order models with multiple resonances. The method is implemented in Python using open-source libraries, facilitating reproducibility and integration into broader modeling workflows. Validation is performed on both analytically derived resonant circuits and physically representative systems, confirming the method’s reliability in identifying parameter sets that accurately reproduce experimental impedance behavior. The results highlight the method’s robustness, scalability, and suitability for automated impedance modeling in energy-related applications.},
DOI = {10.32604/cmc.2026.082254}
}