  This paper presents a new behavioral 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 behavioral 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.
