Failure Analysis of Power Electronic Devices and Their Applications under Extreme Conditions

Power electronic devices are the core components of modern power converters,not only for normal applications,but also for extreme conditions.Current design of power electronic devices require large redundancies for reliability.This results in huge volume and weight for a large-capacity power converter,especially for some extreme applications.Therefore,to optimize the power density,the reliability of power devices needs to be investigated first in order to obtain the accurate operational margin of a power device.Although much research on device failure analysis has been reported,there still lacks efficient failure evaluation methods.This paper first summarizes the current failure research.Then,a three-step failure analysis method of power electronic devices is proposed as:failure information collection,failure identification and mechanism,and failure evaluation.The physics-based modeling method is emphasized since it has a strong relationship with the device fundamentals.After that,power electronic device applications under extreme conditions are introduced and a design method of device under extreme conditions is proposed based on the thermal equilibrium idea.Finally,the challenges and prospects to improve the power device reliability under extreme conditions are concluded.

ANN-Based Identification of Steady-State Behavior Parameters of Composite Power Semiconductor Device Model

The paper describes the application of an ANN based approach to the identification of the parameters relevant to the steady state behavior of composite power electronic device models of circuit simulation software. The identification of model parameters of IGBT in PSPICE using BP neural network is illustrated.