Behavioral Switching Loss Modeling of Inverter Modules

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@InProceedings{Stoyka:2018:SMACD,

• author = "Kateryna Stoyka and Ricieri Akihito {Pessinatti Ohashi} and Nicola Femia",
• booktitle = "2018 15th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD)",
• title = "Behavioral Switching Loss Modeling of Inverter Modules",
• year = "2018",
• abstract = "This paper presents a new behavioural model for switching power loss evaluation in phase-shifted full-bridge inverter Power Modules (PoMs). The proposed model has been identified by means of a Genetic Programming (GP) algorithm combined with a Multi-Objective Optimization (MOO) technique. A large set of loss data, evaluated by means of analytical loss formulas, has been considered for the identification of a compact behavioural model. the GP-MOO approach considers the inverter switching frequency, input voltage, duty-cycle and load resistance as model input variables, and the MOSFET gate driver voltage and resistance as parameters influencing the coefficients values of the identified loss formula. The behavioral model loss predictions confirm their reliability for a wide range of operating conditions.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/SMACD.2018.8434850",
• month = jul,
• notes = "Also known as \cite{8434850}",

}

Genetic Programming entries for Kateryna Stoyka Ricieri Akihito Pessinatti Ohashi Nicola Femia

Citations