Loss Behavioral Modeling for Ferrite Inductors

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@InProceedings{DiCapua:2018:SMACD,

• author = "Giulia {Di Capua} and Nicola Femia and Kateryna Stoyka",
• booktitle = "2018 15th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD)",
• title = "Loss Behavioral Modeling for Ferrite Inductors",
• year = "2018",
• abstract = "This paper presents a new behavioural model of AC power loss for Ferrite Power Inductors (FPIs) used in Switch-Mode Power Supply (SMPS) applications, including the effects of saturation. The model has been identified by means of a genetic programming algorithm and a multi-objective optimization technique, given a large sets of power loss experimental measurements. The proposed AC power loss model uses the voltage and switching frequency imposed to the inductor as input variables, while the DC inductor current is used as a parameter expressing the impact of saturation. Experimental results prove the reliability of the power loss predictions for FPIs, also by correctly accounting for the impact of saturation.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/SMACD.2018.8434859",
• month = jul,
• notes = "Also known as \cite{8434859}",

}

Genetic Programming entries for Giulia Di Capua Nicola Femia Kateryna Stoyka

Citations