This paper describes an improved lumped circuit model of power bipolar junc
tion transistors (BJTs) that can predict the turn-off fall time to a greate
r accuracy than currently available models. Though the existing models simu
late the storage time and delay time to a good accuracy, the fall time perf
ormance is neglected. This is because the existing models do not account fo
r the charge decay due to recombination, The model presented in this paper
is based on the charge dynamics of the device. The charge dynamics is expla
ined in detail using simulation results from an advanced two-dimensional (2
-D) device and circuit simulator. Based on a physical understanding of the
charge dynamics, this model is implemented to incorporate the charge decay
due to recombination to account for the current tail during turn-off. The l
umped-circuit model is implemented in PSPICE using the existing quasisatura
tion model along with controlled sources. To validate the model, the device
was subjected to hard- as well as soft-switching conditions (zero current
switching and zero voltage switching). The modeled results are observed to
have a good match with measured results.