Evaluation method for IGBT off-state current trailing degradation
An off-state current and tailing technology, which is applied in electrical digital data processing, instruments, calculations, etc., can solve problems such as poor precision, degradation of off-state current, failure of power electronic equipment and even the whole machine, so as to ensure accuracy and improve speed effect
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Embodiment 1
[0033] IGBT is a fully controlled device with self-turn-off capability, and its main current is controlled by the conductive channel in the MOS. The turn-off current of the IGBT is divided into two stages: rapid decline and slow decline: the first stage is the process of rapid current decline. When the gate voltage is withdrawn, the channel of the MOSFET is turned off and the channel current disappears, so the collector current Ic It will go through a process of rapid decline; the second stage is the process of slow decline of current, this is because there are still many electrons left in the n-base region (drift region), the number of which depends on the current size before turn-off and the thickness of the base region , in order to maintain the balance of electric neutrality, these electrons need to recombine with holes, and the remaining electrons become less and less during the recombination process, so a trailing current is formed.
[0034] The collector current of the ...
Embodiment 2
[0056] Further, this embodiment illustrates the effect of the method for evaluating the tailing degradation of the IGBT off-state current of the first embodiment through experiments. See image 3 , image 3 It is a schematic diagram of the IGBT off-state current time series data for experiments provided by the embodiment of the present invention. Using the IGBT off-state current time series data, the model parameters of the double exponential model are obtained by fitting, as shown in Table 1, and the state equation is obtained by using the model parameters. U(k), and evaluates the off-state current degradation of the IGBT.
[0057] Table 1. Fitted model parameters
[0058] a b c d -15.09 -0.01046 -35.35 0.009936
[0059] See Figure 4 and Figure 5 , Figure 4 is provided by the embodiments of the present invention based on figure 2 The trend singular point value U obtained from the data and the schematic diagram of the trend evaluation; Figur...
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