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Inductive Power Transfer (IPT) has recently been proposed for application with Electric or Hybrid Electric Vehicles (EV/HEV), where a highly efficient system operation is demanded for the high-power transfer. Due to the high requirements on the regulation of the output power and the output voltage, and due to the large variations of the magnetic coupling,(More)
Accurate statistical modeling and simulation are keys to ensure that integrated circuits (ICs) meet the specifications over the stochastic variations that are inherent in IC manufacturing technologies. Backward propagation of variance (BPV) is a general technique for statistical modeling of semiconductor devices. However, the BPV approach assumes that(More)
Ionic wind devices or electrostatic fluid accelerators are becoming of increasing interest as tools for thermal management, in particular for semiconductor devices. In this work, we present a numerical model for predicting the performance of such devices; its main benefit is the ability to accurately predict the amount of charge injected from the corona(More)
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Computationally efficient high-frequency circuit models of long cables are necessary for accurate analysis of electromagnetic interference in power converter systems. A methodology for behavioral modeling of multiconductor power cables based on measurements is presented in this paper. The procedure is founded on and extended from the techniques developed(More)
— The " lumped charge " power diode compact model [1] is extended including impact ionization while maintaining the low computational cost. The new model can better reproduce the shape of the current peak during reverse recovery, allowing for more predictive EMI/EMC simulations. The parameter extraction procedure is also improved and automated through(More)
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